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Advancing Research on Chronic Conditions in Women (2024)

Chapter: 7 Chronic Conditions in Women and the Structural and Social Determinants of Health

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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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Suggested Citation:"7 Chronic Conditions in Women and the Structural and Social Determinants of Health." National Academies of Sciences, Engineering, and Medicine. 2024. Advancing Research on Chronic Conditions in Women. Washington, DC: The National Academies Press. doi: 10.17226/27757.
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7 Chronic Conditions in Women and the Structural and Social Determinants of Health STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH As discussed in Chapter 2, health outcomes are the result of an intricate web of interacting and intersecting contributing factors that include a biologic makeup, life experiences, and access to services that can promote health (see Figure 2-1). Chapters 5 and 6 focused mainly on the biology of and clinical research on chronic conditions that are female specific, predominantly impact or affect women differently. This chapter reviews how the structural 1 determinants, most notably sexism, and social determinants of health (SDOH) affect the onset, presentation, and treatment of these conditions. Although research on how the structural and social determinants of health affect health outcomes and can contribute to health disparities is robust (NASEM, 2017, 2019, 2023), the research specifically on chronic conditions in women is uneven. Some chronic conditions, such as fibromyalgia and vulvodynia, have almost no research, others have research on the effects of some of the contributing structural and social determinants of health but not others. Based on the research, the committee found that many of the contributing structural and social determinants of health are similar across conditions. Therefore, the aim of this chapter is to introduce these determinants or factors, demonstrate how they often intersect and can both support and exacerbate chronic conditions in women, and highlight the research gaps across these conditions. Structural Sexism As discussed in Chapter 2, sexism refers to systematic gender inequities among men and women (Kreiger 2003). Structural sexism pertains to institutional discrimination, evident in laws, 1 As stated in Chapter 1, the committee applied the concept of structural determinants of health as the “macrolevel factors, such as laws, policies, institutional practices, governance processes, and social norms that shape the distribution or maldistribution of the social determinants of health, which include housing, income, employment, exposure to environmental toxins, and interpersonal discrimination, across and within social groups” (NASEM, 2023). This chapter addresses structural sexism, other structural determinants are addressed in Chapter 1. PREPUBLICATION COPY: UNCORRECTED PROOFS

2 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN policies, or rules (Krieger, 2014). Researchers have begun to focus on the impact of structural sexism/gender inequality on health (Homan, 2019). Studies have examined the impact of structural sexism on health, access to health care, use of preventive health care, c-section rates, breastfeeding and disordered eating. One study developed a macro-structural sexism index to characterize gender inequality in major-level social institutions at the state level. Indicators captured political (percent of men in state legislature), economic, cultural, and physical/reproductive (percent of women without abortion access) measures. Study results suggest that exposure to higher macro-structural sexism at the state-level, is associated with chronic conditions, worse self-related health, and worse physical functioning among women (Homan, 2019). Another study examined state-level sexism and health care access and differences by race and ethnicity. Using state administrative data and survey data from the American Medical Colleges’ Consumer Survey of Health Care Access (2014–2019), the study found no association between state-level sexism and access to care for White women, however exposure to higher state-level sexism was associated with more barriers to accessing care for Black and Hispanic women (Rapp et al., 2022). Structural sexism and the use of preventive health care was the focus of another study. Using state-level data and data from the Behavioral Risk Factor Surveillance System (BRFSS), researchers found that women were less likely to seek preventive care in states with more structural sexism, this was also true for men. The finding supports the researcher’s hypothesis that states with higher levels of structural sexism may offer less generous safety-net policies and direct fewer resources to health care, leading to less preventive care use among both men and women (Dore et al., 2024). Researchers have investigated the impact of structural sexism on cesarian sections and breastfeeding. In a study using state level data and 2018 natality data from the National Center for Health Statistics, researchers found that structural sexism was linked to a higher frequency of low-risk c-sections across states. According to the researchers, the study findings support the theory that overmedicalization of birth is a symptom of structural violence and sexism towards women (Nagle and Samari, 2021). In another study, researchers used state-level data and National Survey of Children’s Health data (2016–2021) to examine the impact of structural sexism on the initiation and duration of breastfeeding. Study results showed that children living in states with higher levels of structural sexism had lower odds of being breastfed or breastfed for at least six months (Balistreri, 2024). Disordered eating—chronic dieting, purging, binge eating, and overeating—was the focus of another study evaluating the impact of structural sexism. The study used data from the Growing Up Today study, a cohort of children followed from 1996 to 2016, state-level, and other data sources. Utilizing a subset of data, from 1996 to 2007, the study found that for the total sample of both cisgendered girls/women and boys/men, each added year of living in a high structural sexism state increased the risk of purging, binge eating and overeating, however, the risk increases were larger for girls/women. Further, girls/women who had lived in a high structural sexism state for 4 or more years had an excess risk of chronic dieting, purging, binge eating, and overeating compared to girls/women who had lived in similar states for less than 4 years. Boys/men had an excess risk of binge eating and overeating. These effects were also noted 20 years later at follow-up. One possible explanation suggested for these findings is that in structurally sexist states, experiences of sexual objectification and expectations about appearance may be more common and this may shape how people inhabit and relate to their bodies. Another PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 3 explanation suggests that in places where girls/women lack equal political power, access to social and economic resources, and full control over their bodies, they might use beauty to gain social status and this may increase harmful behaviors such as eating restrictions and purging to meet unrealistic standards of beauty (Beccia et al., 2022). Structural Sexism and Health Policy Sexism can significantly influence federal and state health policies including access to care and research funding. The Hyde Amendment is a federal policy that prohibits the use of federal Medicaid funds for abortions except in cases of rape, incest, or life endangerment, however, states can choose to use state Medicaid funds to cover abortions beyond these exceptions (Salganicoff et al., 2020). One study, using national Medicaid population data (2016- 2018), investigated the association of the Hyde Amendment with obstetrical outcomes and found that states with restricted coverage had higher adverse obstetrical outcomes including higher median rates of adolescent, preterm, low birth weight births, and short interpregnancy interval births compared to states providing more comprehensive Medicaid coverage for abortion service (Rodriguez et al., 2023a). In June 2022, the Supreme Court of the United States overturned Roe vs. Wade, which had protected women’s rights to seek an abortion, allowing states to determine if and how to allow abortions. Prior to the decision, some states had already begun to implement more restrictive policies. The Commonwealth Fund conducted a study to assess and compare the status of maternal and infant health in states that had or were likely to have bans or restrictions on access to abortion services with states that were expected to maintain abortion access. Using 2018-2020 data, the study found that states banning or planning to ban or restrict abortion had fewer maternity care providers, more maternity care deserts, higher maternal and infant mortality rates (especially among women of color), higher death rates for women of reproductive age, and greater racial health disparities compared to states where abortion was accessible (Declercq and Zephyrin, 2021). Another study examined the impact of Oregon state’s 2018 policy to expand access to Emergency Medicaid (restricted to non-citizens who qualify for Medicaid) for postpartum care to 60 days postpartum including screenings and care for gestational diabetes. Oregan and South Carolina Medicaid claims data and linked birth certificate data were used to determine postpartum coverage, receipt of a postpartum glucose tolerance test, and new diagnosis of Type 2 diabetes. The study found that Oregon’s expanded postpartum coverage significantly increased the number of immigrant women receiving glucose tolerance tests and being diagnosed with Type 2 diabetes (Rodriguez et al., 2023b). A similar study found that expansion of Emergency Medicaid policy coverage of prenatal and 60 days of postpartum care for immigrant women significantly increased diagnosis and treatment of a perinatal mental health condition (Rodriguez et al., 2024). Structural Sexism and Research Recent studies indicate that gender inequities exist in federal research funding allocations. One study analyzed National Institutes of Health (NIH) funding to assess gender differences in how funds are allocated across diseases. The study found that in cases where a disease mainly affects one gender, funding patterns favored men. Diseases that impact or burden more women tended to be underfunded, while diseases that impact or burden more men tend to be overfunded (Mirin, 2021). Persistent disparities in funding and research resources can lead to PREPUBLICATION COPY: UNCORRECTED PROOFS

4 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN gaps in the evidence base for screening, diagnosis, and treatment of conditions that are specific to women or disproportionately affect them. There are also impacts to the research and clinical workforce pipeline (Keenan et al., 2023). One study examined the participation trends of women in U.S. based registered clinical trials from 2016 to 2019 in the areas of cardiovascular diseases (CVD), psychiatric diseases, and cancer. Study results showed that although more women now participate in clinical trials, there are still gaps between the trial groups and the patients who will use the drugs or devices studied (Sosinsky et al., 2022). Another study examined the participation of women in clinical guideline panels. It identified 237 guidelines in national general medical journals from Australia, Canada, the United Kingdom, and the United States between June 2014 and June 2021; 3,696 unique guideline panel members participated in the development of the guidelines. Women represented 38 percent of panel members compared to 60 percent men, the gender was unclear in 2 percent of members. Racially minoritized women were even fewer among panel members (Persaud et al., 2022). Exploring gender disparity in authorship of clinical trials and clinical practice guidelines, another study found a persistent gender disparity in the authorship in both (Lohana et al., 2024). The implications of these findings are that women are underrepresented in the clinical trials that contribute to the evidence base used in the development of clinical practice guidelines, further, women’s expertise, perspectives, and insights are underrepresented in the development of clinical practice guidelines that inform the treatment of conditions that are often experienced differently by women than men. Social Determinants of Health Although this chapter discusses the five social determinant of health domains outlined in the Health People 2030 report—economic stability, education access and quality, health care access and quality, neighborhood and built environment, and social and community context— and how as distinct factors they affect chronic conditions in women, these domains do overlap and affect each other. For example, studies have shown that racially and ethnically minoritized women are more likely to have negative interactions with institutions in the prenatal and perinatal periods, and to be underdiagnosed, have poorer psychological well-being, and are less likely to be provided with practical support in terms of lactation, child care, or transportation— these issues span several SDOH (Conteh et al., 2022; Giurgescu et al., 2017; Kemet et al., 2022; Sidebottom et al., 2021). Socioeconomic status, education, gender roles and expectations, and social support can affect the entire spectrum of CVD and stroke from incidence and risk factors to treatment and outcomes (Mehta et al., 2023; Pelletier et al., 2016; Skolarus et al., 2020). Similarly, SDOH affect the risk factors, incidence, and treatment and outcomes of individuals with Human Immunodeficiency Virus (HIV) and substance abuse disorder (SUD) (Cook et al., 2023; van Draanen et al., 2020). Lifestyle and behavior are also shaped by—and cut across—SDOH. For example, studies have demonstrated how factors such as smoking, diet, and lifestyle modify Alzheimer Disease (AD) risk in a sex- and gender-dependent manner (Dhana et al., 2020). This is seen in smoking, which has a stronger association with impaired verbal learning and memory performance in women compared to men (Lewis et al., 2021). A recent systematic review of sex differences in physical activity and incident stroke found a reduced risk with physical activity, with relative risk reductions of 20–40 percent (Madsen et al., 2022). PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 5 Economic Stability Economic stability refers to the link between a person’s finances and health and includes such factors as employment, income level, food security and housing stability (HHS). Economic stability can affect chronic conditions in many ways. For example, research has suggested biological and psychological underpinnings as factors behind the association of chronic pain and various aspects of economic stability (Quiton et al., 2020). Based on a systematic review of studies conducted in the United States and other countries, SDOH, such as low socioeconomic status, unemployment, and aspects of social capital such as greater social support, are consistently associated with adverse outcomes in adults with chronic low back pain (Karran et al., 2020). Additional research has shown that individuals who had a low income, more unpaid employment status, and lower education attainment level, and were primarily Black or African American individuals experienced a high severity of pain from chronic lower back issues. Individuals in this group also had worse mental and physical health and were more likely to use prescription analgesics (Huang et al., 2023). Although these effects were experienced differently across racial groups, there were no differences found by sex (Huang et al., 2023). An epidemiological study among aging adults in Baltimore, the Healthy Aging in Neighborhoods of Diversity across the Life Span study, found that sociodemographic factors measured by living in poverty intersect with gender, with women reporting higher pain levels (Quiton et al., 2020). For example, the study found that White women living in poverty were more likely to report pain than White men (Quiton et al., 2020). Research has also shown that socioeconomic status, along with a variety of factors such as racism and health insurance status, is associated with healthcare related disparities for the treatment of headache disorders (Kiarashi et al., 2021). Occupation type is closely linked to both socioeconomic status and the occurrence of pain or injury. Occupational demands from manual labor jobs such as cleaning and construction, where Latina/Latino people represent a large percentage of the U.S. workforce, have increased reporting of pain-inducing injury and experiences of musculoskeletal pain (Bakhshaie et al., 2019; U.S. Bureau of Labor Statistics, 2010; Fernández-Esquer et al., 2020; Tribble et al., 2016; U.S. Bureau of Labor Statistics, 2015). Occupation also presents a challenge to individuals working multiple or off-hour shifts which can affect access to and seeking health care (Meghani et al., 2012). Without a schedule conducive to appointment availability, specialty treatment can be delayed, worsening pain experiences. A handful of studies using data from the Health and Retirement Study have investigated the effects of early and later life socioeconomic status on osteoporosis. One study found that lower levels of childhood and adult socioeconomic status was associated with higher odds of developing osteoporosis (Gough Courtney et al., 2023). “Lower maternal investment,” a term used to describe maternal social capital and that may be linked to childhood behaviors, was linked to greater odds of osteoporosis (Courtney et al., 2023). There is an increased body of evidence that has examined a link between socioeconomic status and menopausal symptoms including vasomotor symptoms (VMS) in women. A recent cross-sectional study enrolled women from various racial and ethnic backgrounds from a telehealth platform who completed an online survey. It found that Black, Hispanic, and American Indian and Alaska Native women with lower socioeconomic status had a greater odds of exhibiting menopausal symptoms compared to White women, the relationship was significant for Black women and the experience of hot flashes (Kochersberger et al., 2024). The Study of Women's Health Across the Nation (SWAN) identified a correlation between VMS associated PREPUBLICATION COPY: UNCORRECTED PROOFS

6 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN with menopause and various biological factors and SDOH, including income and employment (Gold et al., 2006). For example, stratifying women according to the number of days they reported having VMS identified certain attributes that were significantly correlated with more days of VMS. These attributes included economic factors such as lower income and, unemployment, along with other factors such as less education, smoking status, tobacco smoke exposure, number of premenstrual symptoms, depressive symptoms, anxiety, physical inactivity, higher symptom sensitivity, higher perceived stress, and lower social support (Gold et al., 2006). A secondary analysis of the longitudinal, population-based Coronary Artery Risk Development in Young Adults study identified some of the same early adulthood risk factors as being associated with persistent VMS, including difficulty paying for basic necessities, lower education level, depressive symptoms, and smoking status, as well as others such as migraine (Kim et al., 2024). Overall, more research is needed to understand how race, ethnicity, and access (or lack thereof) to the SDOH confer susceptibilities to VMS severity. Education Access and Quality Access to quality education is associated with general educational attainment, language skill, and literacy factors (CDC, 2023). The relationship between education access and health outcomes is strong and is an important consideration for chronic conditions in women (NASEM, 2017, 2019). For example, in a study including both men and women on the association of educational attainment with chronic disease and mortality in the Kidney Early Evaluation Program, the authors found that higher educational attainment was associated with lower prevalence of several chronic conditions, including hypertension, diabetes, CVD, reduced kidney function, and elevated urine levels of albumin, a sign of kidney disease. Compared with persons who did not graduate from high school, college graduates had a lower odds for each chronic condition, ranging from 11 percent lower odds of reduced kidney function to 37 percent lower odds of CVD (Choi et al., 2011). The Louisiana Osteoporosis Study found that women with a high school degree or some college were 2.68 times more likely to have sarcopenic obesity 2 compared to females with at least a college degree (Jeng et al., 2018). Lower education attainment was also shown to be associated with a greater odds of sarcopenia in the Irish Longitudinal study on Ageing (Swan et al., 2021). One study using data from the National Health Interview Survey examined the effect of education on younger adults and found that women with a General Education Diploma reported higher odds of pain compared to those graduating high school on a standard timeline (Zajacova et al., 2020). A systematic review examining the relationship between education and AD found that lower education was associated with a greater risk of dementia in women; however, only a few studies considered sex differences (Sharp and Gatz, 2011). More recent studies suggest that cognitive reserve may play a larger role. The concept is based on the idea that social and behavioral factors, including education, occupation, physical exercise, and leisure activities or social engagement, contribute to developing more robust neuronal networks (Stern et al., 2020). These networks may help preserve cognitive functions, reduce the risk of dementia, and provide protection even in the presence AD (Nelson et al., 2021; Rawlings et al., 2019). Adverse child events (ACEs) were discussed in Chapter 2 as exposures that can predispose individuals to higher risks for chronic conditions in women. ACEs are briefly noted 2 A combination of obesity and low skeletal muscle mass PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 7 here because of the close linkage between ACEs and SDOH, one study using data from the BRFSS found individuals reporting 4 or more ACEs were more likely to report not completing high school (lower education) and household poverty (economic instability). Individuals reporting 3 ACEs or 4 or more ACEs were also more likely to report periods of unemployment (economic instability). Study results were adjusted for sex, but the authors note that ACEs were more prevalent among women than men (Metzler et al., 2017). More recent BRFSS data (2011- 2020) showed ACEs scores greater than 4 to be higher in women (19.2 percent) than in men (15.2 percent) (Swedo et al., 2023). Health Care Access and Quality “…one collected theme…[is] not being listened to enough, not being understood...” –Presenter at Committee Open Session “Gender bias is real… Just remember that impacts women. We have a lot of responsibility on us and we want to live. We want to function.” –Presenter at Committee Open Session Access to health care refers to “the timely use of personal health services to achieve the best health outcomes,” (HHS, 2022; IOM, 1993). Lack of discreet, confidential, and gender- sensitive services keep many women from seeking treatment in the health care system (Adler et al., 2023; Zephyrin et al., 2020). Women may be reluctant to seek care for fear of negative judgment or hostile reactions from service staff. This has been seen for HIV and sexually transmitted infections, where racism, discrimination, and stigma prevent some women from seeking and receiving care (NASEM, 2021; Walcott et al., 2016). Without a diagnosis, women cannot receive timely and appropriate treatment, which can worsen health outcomes. In HIV, for example, this can lead to transmitting the virus to an unborn child or to an uninfected partner if they engage in condomless sexual intercourse or share needles during intravenous drug use. Many women also do not have knowledge of Pre-Exposure Prophylaxis (PrEP). This may be due to their provider lacking awareness to offer PrEP to them, or negative attitudes/stigma from providers about discussing sexual health (Mayer et al., 2020). Mental health conditions and substance use comorbidities also interfere with access to HIV prevention, care, and uptake of and adherence to antiretroviral therapy (ART) and PrEP. Women are more likely than men to experience depression and anxiety symptoms as well as posttraumatic stress disorder and many have experienced intimate partner violence (IPV), factors shown to negatively impact access to HIV testing, access to health care for HIV prevention and treatment, and prescription of and adherence to ART and PrEP (Miller et al., 2021; Waldron et al., 2021). Women with fibromyalgia have also felt misunderstood by health professionals, with difficult experiences navigating health systems with a disorder that is poorly understood and stigmatized (Quintner, 2020). The term “invalidation” can characterize the range of expressions that patients cite, such as denial, rejection, and exaggeration of the symptoms (Galvez-Sánchez and Reyes Del Paso, 2020; Kool et al., 2009). The Illness Invalidation Inventory has been proposed to assess the effect of these negative responses to patients presenting with fibromyalgia (Kool et al., 2014). Gender roles and behaviors may be associated with risk of acute coronary syndrome and major adverse cardiac events in women. One study investigated gender roles measured by gender-related characteristics such as the status of household primary earner, number of hours PREPUBLICATION COPY: UNCORRECTED PROOFS

8 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN spent doing housework, level of stress at home, and feminine personality traits. Personality traits and social gender roles assigned to women were associated with a greater risk of adverse cardiovascular outcomes in younger women (Pelletier et al., 2016). Women are more likely to underestimate their risk of ischemic heart disease, which can serve as a barrier to seeking care in a timely manner (McSweeney et al., 2016). Delays in seeking care may also arise from a lack of symptom recognition, although a conscious decision to postpone care attributed to female gender behaviors, such as hesitating going to the hospital (Lawesson et al., 2018), and sociocultural influences such as ethnicity, socioeconomic status, and health access (Rosenfeld, 2004), cannot be ruled out (Tisminetzky et al., 2020). Gender roles and behaviors not only contribute to delays in treatment of acute coronary syndrome but may also impact recovery and survival from acute myocardial infarction (Mirzaei et al., 2020). Women are less likely to be referred to cardiac rehabilitation, and when they are, they have lower rates of attendance and completion due to gender roles related to caretaker and single-parent head-of-household, and employment responsibilities (McSweeney et al., 2016). These disparities are more pronounced among racially and ethnically minoritized women. Gender stereotypes contribute to gender biases in clinical practice. These stereotypes influence the biomedical approach of analyzing, interpreting, diagnosing, and treating pain in women. Studies have shown that women’s pain is often underestimated, whereas men’s pain is frequently overestimated and deemed organic (Lloyd et al., 2020; Zhang et al., 2021), the result of health professionals tending to frame women’s pain as amplified by behavior and attitudes considered to be “typical” of women, including heightened emotionality, psychological vulnerability, and dramatization. In clinical settings, this assumption may lead to believing that women are less tolerant of pain and exaggerate their perceptions of it (Colameco et al., 1983; Lloyd et al., 2020). As mentioned in Chapter 2, racial and ethnic discrimination also serves as a structural determinant that results in women of color experiencing inequities. A notable example is perceived pain-related injustices (Aroke et al., 2019; Overstreet et al., 2023). As one research team noted, “pain-related injustice is conceptualized as cognitive appraisals reflecting the externalization of blame and feelings of unfairness about a pain- or injury-related loss, along with the severity and irreparability of the loss,” (Overstreet et al., 2023; Sullivan et al., 2012). Medical injustice against women of color can be traced back centuries (Owens, 2017). Although these medical injustices contribute to a lasting distrust of the medical field, they also inform key, unsubstantiated scripts in modern health care about Black women, such as they have a higher tolerance for pain (Trawalter and Hoffman, 2015). For example, research has shown that clinicians are more likely to prescribe monthly buprenorphine for treating opiate use disorder (OUD) to White women, but refer Black and Hispanic women to daily, mandated, in-person methadone programs (Schiff et al., 2020). The invisibility of pain and its complex pathology may lead to stigmatizing women experiencing chronic pain disorders (De Ruddere and Craig, 2016; Monsivais, 2013). Many of these women report that clinicians did not believe them, and that treatment was delayed or absent (De Ruddere and Craig, 2016; Monsivais, 2013; Samulowitz et al., 2018). Research shows that, compared to men, women receive less intensive and effective pain care, they are less likely to be prescribed opioids and analgesics but more likely to receive antidepressant prescriptions or psychotherapy referrals (Samulowitz et al., 2018; Zhang et al., 2021). Despite the ongoing shift to patient-centered care, Western medicine remains rooted in the theory of biological determinism with strong emphasis on data and statistical evidence to find PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 9 answers (Moretti et al., 2023), which can encourage physicians and medical curricula to rely on a highly technical approach that pays insufficient attention to persons with chronic pain, particularly women. In contrast, patient-centered medicine defines pain as a multidimensional experience shaped by several factors, including sex and gender differences, that influence health and the processes of chronic pain (Bartley and Fillingim, 2013; Keogh, 2022). Physicians’ lack of medical training for understanding women’s pain and gender stereotyping contribute to gender biases in treatment (Lloyd et al., 2020; Moretti et al., 2023). Women of color face discrimination in the health care system when diagnosing and treating premenstrual dysphoric disorder (PMDD) (Pilver et al., 2011). Discrimination due to gender and race and the intensity of it each independently increased the chance of PMDD (Pilver et al., 2011). In addition, cost and limitations in insurance coverage for contraceptives, among the first-line treatments for PMDD and premenstrual syndrome, are significant in restricting access to effective treatment (Grady et al., 2015). Black, Hispanic, and sexual minority women are less likely to receive contraception or counseling for it from a healthcare professional (Everett et al., 2019; Grady et al., 2015). These disparities have also been attributed to differences in socioeconomic status and discriminatory practices (Grady et al., 2015). Black, Asian, and Hispanic women are also more likely to report misgivings about the purpose of contraception and negative interactions with health care professionals impacting contraception use (Agénor et al., 2021; Logan et al., 2021; Shih et al., 2011). Given the various types of discrimination women may face and the differential experiences of diverse racial and ethnic groups, it is essential that treatment is tailored to include solutions for structural and health inequities that contribute to PMDD prevalence. Comorbid mental disorders, stigma, discrimination, and the effects of gender-affirming hormone therapy are proposed factors that affect migraine prevalence and treatment in transgender and gender-diverse individuals. Other than a small number of review articles based on limited older data, studies are limited on this topic (Pace et al., 2021). One group showed that many of these same structural and social factors affect women who accessed infertility care. In addition, given the cost associated with infertility treatment discussed in Chapter 5, access to care is a known factor in the inequities seen along the fertility journey (Kelley et al., 2019). Neighborhood and Built Environment As discussed in Chapter 2, the neighborhoods and built environments where women live affect the availability, accessibility, cost, and quality of community goods and services, as well as environmental factors that (NASEM, 2023) affect health outcomes in a number of ways (NASEM, 2023). For example, more disadvantaged neighborhoods was an independent factor associated with PDD in a cross-sectional study using data from Kaiser Permanente Northern California health care system; this association was pronounced in Black individuals and not significant for Hispanic individuals (Onyewuenyi et al., 2023). Residents in predominantly Black, Latino/Latina, and Asian neighborhoods in California 3 were more likely to have chronic conditions including diabetes, obesity, coronary heart disease, and stroke (Li et al., 2023). In addition, a study on the effect of racial segregation found inequitable access to methadone versus buprenorphine treatment, and that methadone treatment programs were more likely to be in 3 Neighborhoods were defined as comprising greater than 50 percent of the three racial and ethnic groups based on census tracts. PREPUBLICATION COPY: UNCORRECTED PROOFS

10 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN highly segregated African American and Latino/Hispanic communities and facilities providing buprenorphine in predominantly White counties (Goedel et al., 2020). U.S. stroke incidence and mortality also differ by geography, a key social determinant of cerebrovascular disease (Levine et al., 2018). Centers for Disease Control and Prevention data indicate that stroke mortality is approximately 30 percent higher in the region of the United States in the “stroke belt and stroke buckle,” an 11-state region in the southern, southeastern, and midwestern United States (Tsao et al., 2023). Data are limited on chronic conditions in women who live in rural areas. One study showed that parenting women who had a perceived need for SUD treatment and were living in rural counties had a 90 percent lower odds of utilizing treatment compared to those living in urban counties (Ali et al., 2022). Another study showed that rural communities face difficulties accessing headache care because of unequal distribution of headache specialty facilities (Kiarashi et al., 2021). Impoverished neighborhoods contribute to the burden of stressful experiences for both women and men (Maly and Vallerand, 2018) via residents’ decreased feelings and experiences of safety in their environment, limited access to healthy food choices and health care, and physical and social isolation. Research has found that increases in these stressors lead to hypersensitive stress responses over time, adversely affecting chronic pain (Hanley et al., 2011; Hruschak and Cochran, 2017). In addition to the environment’s effect on stress and isolation, living in high- poverty neighborhoods over the life course has been found to have a detrimental impact on physical health in midlife (Yang and South, 2020). Individuals living in poverty have an increased occurrence of pain resulting from the associated physical and economic barriers (Maly and Vallerand, 2018). Impoverished neighborhoods tend to have limited access to specialty pain care and treatment access, compounded by lack of transportation and occupational barriers. The disparity in the experience of chronic pain in individuals of low socioeconomic status living in poverty has been well documented (Tait and Chibnall, 2014). Although opioids are not first-line treatments for chronic pain, minoritized individuals in impoverished urban neighborhoods experience a double burden of disparity regarding opioid access. Even if they are prescribed opioids, pharmacies in zip codes with a predominantly minoritized population report insufficient supplies compared to zip codes with a predominantly non-Hispanic White population (Green et al., 2005). Physical aspects of the environment, such as exposure to air pollution, have been associated with higher likelihood of cognitive impairment and AD (Iaccarino et al., 2021). Certain racial and ethnic groups are disproportionately affected by exposures to harmful pollutants. For example, African American people are more likely to live near particle-emitting facilities in urban areas, which may be a contributing factor to their greater prevalence of Alzheimer’s disease. Research has found that Black women are exposed to more particulate matter than White women and the association between such exposure and AD for Black women was approximately twice as large, even after adjusting for age, region, socioeconomic factors, lifestyle factors, cardiovascular risk factors, and stressful life events (Younan et al., 2022). The authors of this study suggest that the exposure to air pollution caused by neighborhood segregation may be a contributing factor to the increased risk of AD in African American women (Woo et al., 2019; Younan et al., 2022). Several studies have investigated population-level strategies to counter the predisposing effects of built environments on AD. In the Nurses’ Health Study, creating and using more green spaces in urban settings was associated with better cognitive scores and psychomotor speed and attention in a cohort of women. However, as 98 PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 11 percent of study participants were White, it is unclear if these findings can be applied to all women (Jimenez et al., 2022). Physical activity is an important lifestyle behavior that is associated with the developing and managing osteoporosis and other chronic conditions in women. Neighborhood environment plays a role in enhancing physical activity levels based on how walkable one’s neighborhood is or amount of green space available (Zhu et al., 2023). One study found that neighborhood factors such as neighborhood socioeconomic status (poverty level), neighborhoods built in 1950-1969, and proximity to business and facilities influence the physical activity levels of postmenopausal women (King, 2005). Another study showed that greater neighborhood walkability and green space in China were associated with fewer fractures; more studies addressing these issues are needed in the United States (Zhu et al., 2023). Social and Community Context Healthy People 2030 notes that “relationships and interactions with family, friends, coworkers, and community members” and “the social support [one needs] where they live, work, learn, and play” are important factors in determining health outcomes (HHS, 2020). In the social and community context, social connection is thought to be a protective factor for depression, either preventing it or contributing to better response to treatment. Being married is associated with better prognosis of depressive symptoms than being single (Buckman et al., 2021). Attachment to family, social connections, and religion are protective against suicidal behaviors as well. Maternity leave has also been reported to reduce the occurrence of postpartum depressive symptoms (Chatterji and Markowitz, 2008; Dagher et al., 2014). The criminal legal system—a component of the community context—also affects health outcomes (Duarte et al., 2020; NASEM, 2017, 2023; Sundaresh et al., 2020). Barriers to SUD and OUD treatment in women are numerous and significantly related to structural and social determinants, with incarceration being an important one. For example, over the past 35 years, total arrests have increased 25 percent for women and decreased 33 percent for men. The rise among women is primarily due to drug-related offenses; during this period, drug-related arrests surged about 216 percent for women, compared to about 48 percent for men. Further, most women are less likely to be able to post bond because their income typically falls below the federal poverty level (Herring, 2020). Drug offenses are the most common reason for woman and maternal incarceration in the United States, yet few women are offered treatment during incarceration or after release (Edwards et al., 2022; Staton et al., 2023). If women progress from prescription opioids to heroin or illicit opioid use or injecting drugs, they become immersed in new, unfamiliar social networks and must rapidly learn how to navigate obtaining drugs, inject them safely, and protect themselves from gender-based violence (Springer et al., 2020). Women in these new environments may be at increased risk for physical and sexual abuse and exploitation, which can further perpetuate drug use and put them at risk for acquiring infectious diseases, and expose them to gender-based violence, trauma, stigma, and laws that punish women who use drugs (Springer et al., 2020). Additionally, these women may have less awareness and skills of how to access and navigate health care services and treatment (Martin et al., 2022). Support services for women are another critical aspect of the social and community context. For example, these services are absent or inadequate for women with SUD (Farhoudian et al., 2022), who need to arrange childcare to attend treatment and experience threats of child protective services interventions because they have a SUD (SAMHSA, 2021). Although more PREPUBLICATION COPY: UNCORRECTED PROOFS

12 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN than 70 percent of women in drug treatment have at least one child, only 6 percent of outpatient programs provide child care and 2.6 percent provide ancillary beds for children (SAMHSA, 2019). Furthermore, women are discouraged from seeking treatment because of fear of losing custody of their children and are often punished for treatment noncompliance by child welfare agencies due to a clinic’s inability to meet their child care needs (Springer et al., 2020). Pregnant women report several barriers to entering treatment, including fear of testing positive for illicit substances that could result in losing custody of their newborn or other children or incarceration (Stone, 2015). Trauma and violence are common occurrences in the lives of women with SUD, particularly with OUD, yet only 24 percent of SUD treatment programs offer services for IPV, and 24.0 percent provide specific interventions for sexual abuse (SAMHSA, 2017). Untreated psychological trauma is a major risk factor for relapse, overdose and suicide, yet only 38.3 percent of SUD treatment facilities/programs always or often offer trauma-specific counseling (SAMHSA, 2017). Related to trauma, research has shown that adverse childhood experiences contribute to frequent headaches and a higher odds of migraine compared to episodic tension-type headache, but the study did not stratify findings by sex (Tietjen et al., 2015). Social isolation has clear gender differences, with older women being disproportionately affected by a lack of social support following stroke. This is largely the result of sex differences in age at first stroke and longer life expectancies in women compared with men. Studies have suggested that social isolation and loneliness are linked to worse stroke outcomes and it can also impact cardiovascular and brain health outcomes (Boden-Albala et al., 2005; Cené et al., 2022; Gronewold et al., 2021). Discrimination and gendered norms also play out in the social and community context. For example, studies and meta-analyses indicate that racially and ethnically minoritized groups who experience pain face complex issues related to the structural and social determinants of health that affect women’s experiences of pain (Overstreet et al., 2023). Researchers have begun to explore the unique role of exposure to discrimination as a contributor to pain severity across various racial and ethnic groups (Dugan et al., 2017). SWAN investigated how discrimination affects women from different racial and ethnic groups, including how it relates to pain (Dugan et al., 2017). Longitudinal data spanning over a decade from its cohort measured everyday experiences of discrimination among five groups of middle-aged menopausal women: White, African American, Japanese, Chinese, and Hispanic. The analysis showed that that experiences of discrimination in African American, Chinese, and White women, reported primarily as resulting from bias related to race and ethnicity, gender, or language, were significantly linked to bodily pain (Dugan et al., 2017). Furthermore, in a community-based study of Spanish-speaking Latino/Latina participants recruited from a federally qualified health center primary care setting, in which 88 percent of the participants were women, perceived racial discrimination was found to affect individuals’ anxiety sensitivity4, leading to greater pain intensity and disability (Bakhshaie et al., 2019). Trauma is an important consideration in the social and community context. As discussed in Chapter 5, vulvodynia needs to be approached from a biopsychosocial perspective, trauma from a wide variety of sources can influence the onset of vulvar pain. Thus, issues related to racism, coping mechanisms, or even stressors due to the built environment could be involved in Anxiety sensitivity is the belief that anxiety and anxiety-related sensation have harmful consequences 4 (Bakhshaie et al., 2019). PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 13 its pathogenic mechanism. However, no studies have directly assessed how much the SDOH influence the incidence of this condition. Once difficulty is the need for studies within the general population, as such a large proportion of women do not seek care because of its stigmatizing effect and the false belief that vulvar pain during intercourse is normal. RESEARCH GAPS Research gaps regarding the structural and social determinants of health in chronic conditions in women warrant attention because they affect the development, progression, and management of these conditions across the life course. The gaps identified in this chapter are not exhaustive, but they represent the types of research needed to advance the field’s understanding of how the structural and social determinants of health affect chronic conditions that are female- specific, gynecologic, and conditions that predominantly impact or affect women differently. In addition, for many conditions, such as vulvodynia, menopausal symptoms, and myalgic encephalomyelitis/chronic fatigue syndrome, research is lacking on the influence of the SDOH on their incidence. The social and biological mechanisms that underlie associations of the structural and social determinants of health also require further investigation. Women face several barriers to treatment access in the health care system, stigma, bias, and availability of social services, including child care during treatment and physician visits. A broad range of SDOH and barriers to care and strategies to overcome them need to be evaluated. For example, improving infertility evaluation and earlier intervention to reduce barriers resulting from geography and costs would increase the proportion of women who receive successful care. Given disparities in access, stigma, and knowledge barriers, both the true age-specific prevalence of infertility unknown and the size of the population that would benefit from assisted reproductive technology are unknown (Fauser et al., 2024). Although SDOH affect both women and men, they differ by gender in many circumstances. Thus, how they affect health needs to be better understood in the context of social identities, including gender roles and cultural norms to fully understand the effects on various health conditions, such as CVD and stroke in women (Ospel et al., 2022). Research to elucidate gender differences in access to health services is also needed, such as gender differences in access to HIV testing, PrEP and ART. Patients may not know where to access testing, treatment, and prevention services for HIV. Women in particular face challenges, including lack of transportation, poverty, stigma, racism, and child care duties, that affect access to care and retention on PrEP or ART (Nawfal et al., 2024). Studies do not typically address these issues and only report biological outcomes such as viral suppression or adherence to ART or PrEP without understanding the underlying structural and social factors that affect adherence. These issues apply to many of the other conditions discussed in this report. Research that explores modes of treatment and prevention that may be better suited to women versus men, such as telehealth, mobile health units, peer and patient navigators, community health workers, and pharmacy delivery, and that explores the intersectionality of sex, gender, race, ethnicity, geography, health care insurance, and other social factors that influence women’s access to care could advance the development of tailored care that meets the needs of women (Ford et al., 2021; Vohra-Gupta et al., 2023). Although maintaining a healthy lifestyle can benefit women with chronic conditions, the SDOH can make doing so difficult by reducing the options for access to green space, physical activity, healthy food, and clean air (Duarte et al., 2024). Research is needed to better understand PREPUBLICATION COPY: UNCORRECTED PROOFS

14 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN how SDOH limit access to healthy lifestyle behaviors and develop interventions that increase available options for women (Andermann, 2016; Salisbury, 2020). The disparities and structural and social contexts of chronic pain for women need to be better understood. These factors are often complex and challenging to measure (Macgregor 2023). Research for chronic conditions in women needs to study mechanisms of how structural and social determinants affect chronic pain development or clinical presentation, and the experience of discrimination and chronic pain – most studies only measure perceived discrimination. Although the biopsychosocial model of pain—how interactions among biological, psychological, and social factors contribute to pain outcomes (Engel, 1977; Turk and Monarch, 2002)—has become widespread and broadly accepted, the medical field still prioritizes the biomedical view when considering treatment approaches. A critical downside of that dominant narrative is that it minimizes psychosocial factors with a subsequent lack of funding dedicated to biopsychosocial narratives (Letzen et al., 2022). Data and Related Research Needs Data on health outcomes of chronic conditions based on sex and gender are often not available. This is a critical limitation in evaluating impact of potential interventions. For example, multiethnic longitudinal studies in women on the structural and social determinants of health are needed to explore changes in bone mineral density and risk factors among racially and ethnically minoritized groups. A more robust and interconnected data infrastructure is needed for chronic conditions to support evidence-based policies and better identify improved outcomes associated with medical interventions and policy changes regarding chronic conditions among women. Data exist on those who seek health care, but data are also needed on those who do not. It is difficult without data on the structural and social determinants of health to develop interventions for women with chronic conditions and analyze outcomes. SDOH research designs are fraught with methodologic issues. For instance, community- level randomized designs are rare, and existing evidence is not generally sufficient to make causal conclusions. Many interventions focus on persons who have experienced adverse outcomes such as hospitalization, but pre- and post- assessments without a control or comparison suffer from regression from the mean. Lack of comprehensive data for health and social outcomes and differences in unmeasured characteristics between those who participate in social needs interventions and those who do not are also major gaps. Methods for evaluating SDOH are not the same as those for studies that focus on acute treatment and interventions. Most studies are cross-sectional and do not assess long-term outcomes. For example, research has focused predominantly on short-term outcomes for a single condition, but long-term outcomes and longer follow-up periods are typically needed. This is especially true for medically complex populations such as women with multiple chronic conditions or high health care use. Longitudinal studies are needed to address these gaps in knowledge. Furthermore, multiple chronic conditions, which is discussed in the following chapter, is common and has been increasing over the last 25 years, which has implications for public health policy and anticipated health costs (King et al., 2018). Research is needed to assess the effect of interventions on multiple chronic conditions and determine if studies can assess more than one intervention with scientific rigor. It is important to develop standardized characteristics of structural and social determinants of health, and how researchers report race and ethnicity and how they assess sex PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 15 and gender, especially in research for women. Measures of housing status and access to transportation also need to be more uniform. In addition, research needs to consider multiple SDOH in the same study. For example, when assessing women’s access to medications to treat chronic conditions, important considerations include identifying where the closest pharmacy is and if it stocks the needed medications, and stigma related to access to a pharmacy that supplies medications, especially those for pain, mental health conditions, SUD, and reproductive health. REFERENCES Adler, A., M. A. Biggs, S. Kaller, R. Schroeder, and L. Ralph. 2023. Changes in the frequency and type of barriers to reproductive health care between 2017 and 2021. JAMA Network Open 6(4):e237461. Agénor, M., A. E. Pérez, A. Wilhoit, F. Almeda, B. M. Charlton, M. L. Evans, S. Borrero, and S. B. Austin. 2021. Contraceptive care disparities among sexual orientation identity and racial/ethnic subgroups of U.S. women: A national probability sample study. Journal of Women’s Health 30(10):1406–1415. Ali, M. M., E. Nye, and K. West. 2022. Substance use disorder treatment, perceived need for treatment, and barriers to treatment among parenting women with substance use disorder in U.S. rural counties. Journal of Rural Health 38(1):70–76. Andermann, A. & CLEAR Collaboration. 2016. Taking action on the social determinants of health in clinical practice: A framework for health professionals. Canadian Medical Association Journal 188(17-18):E474-e483. Aroke, E. N., P. V. Joseph, A. Roy, D. S. Overstreet, T. O. Tollefsbol, D. E. Vance, and B. R. Goodin. 2019. Could epigenetics help explain racial disparities in chronic pain? Journal of Pain Research 12:701–710. Bakhshaie, J., A. H. Rogers, N. A. Mayorga, J. Ditre, R. Rodriguez-Cano, A. C. Ruiz, A. G. Viana, M. Garza, C. Lemaire, M. Ochoa-Perez, D. Bogiaizian, and M. J. Zvolensky. 2019. Perceived racial discrimination and pain intensity/disability among economically disadvantaged Latinos in a federally qualified health center: The role of anxiety sensitivity. Journal of Immigrant and Minority Health 21(1):21–29. Balistreri, K. S. 2024. Structural sexism and breastfeeding in the United States, 2016-2021. Maternal Child Health Journal 28(3):431-437. Bartley, E. J., and R. B. Fillingim. 2013. Sex differences in pain: A brief review of clinical and experimental findings. British Journal of Anaesthesia 111(1):52–58. Beccia, A. L., S. B. Austin, J. Baek, M. Agénor, S. Forrester, E. Y. Ding, W. M. Jesdale, and K. L. Lapane. 2022. Cumulative exposure to state-level structural sexism and risk of disordered eating: Results from a 20-year prospective cohort study. Social Science & Medicine 301:114956. Boden-Albala, B., E. Litwak, M. S. Elkind, T. Rundek, and R. L. Sacco. 2005. Social isolation and outcomes post stroke. Neurology 64(11):1888–1892. Bresnick, J. 2018. Combating Chronic Disease Through the Social Determinants of Health. https://healthitanalytics.com/features/combating-chronic-disease-through-the-social- determinants-of-health (accessed November 30, 2024). Buckman, J. E. J., G. Ambler, L. L. Arundell, S. Brabyn, Z. D. Cohen, M. R. Davies, R. J. DeRubeis, T. C. Eley, S. Gilbody, S. D. Hollon, T. Kendrick, D. Kessler, G. Lewis, E. Littlewood, C. O’Driscoll, S. Pilling, D. Richards, R. Saunders, J. Stott, E. Watkins, and N. Wiles. 2021. Role of age, gender and marital status in prognosis for adults with depression: An individual patient data meta-analysis. Epidemiology and Psychiatric Sciences 30:e42. PREPUBLICATION COPY: UNCORRECTED PROOFS

16 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN CDC (Centers for Disease Control and Prevention). 2022. Stroke Death Rates, Total Population 35+, by County. https://www.cdc.gov/dhdsp/maps/national_maps/stroke_all.htm (accessed February 1, 2024). CDC. 2023. Socioeconomic factors. https://www.cdc.gov/dhdsp/health_equity/socioeconomic.htm#print (accessed May 15, 2024). Cené, C. W., T. M. Beckie, M. Sims, S. F. Suglia, B. Aggarwal, N. Moise, M. C. Jiménez, B. Gaye, and L. D. McCullough. 2022. Effects of objective and perceived social isolation on cardiovascular and brain health: A scientific statement from the American Heart Association. Journal of the American Heart Association 11(16). Chatterji, P., and S. Markowitz. 2008. Family leave after childbirth and the health of new mothers. Working Paper No. w14156. Cambridge, Massachusetts: NBER. Choi, A. I., C. C. Weekley, S. C. Chen, S. Li, M. Kurella Tamura, K. C. Norris, and M. G. Shlipak. 2011. Association of educational attainment with chronic disease and mortality: The Kidney Early Evaluation Program (KEEP). American Journal of Kidney Disease 58(2):228–234. Colameco, S., L. A. Becker, and M. Simpson. 1983. Sex bias in the assessment of patient complaints. Journal of Family Practice 16(6):1117–1121. Conteh, N., M. Wald, C. Smith, J. Gagliardi, and C. Davis. 2022. Racial disparities in perinatal mental health care during COVID-19. Current Psychiatry 21(January 2022):9–14. Cook, R. R., E. N. Jaworski, K. A. Hoffman, E. N. Waddell, R. Myers, P. T. Korthuis, and P. Vergara- Rodriguez. 2023. Treatment initiation, substance use trajectories, and the social determinants of health in persons living with HIV seeking medication for opioid use disorder. Substance Abuse 44(4):301-312. Courtney, M. G., J. Roberts, Y. Quintero, and K. Godde. 2023. Childhood family environment and osteoporosis in a population-based cohort study of middle- to older-age Americans. JBMR Plus 7(5):e10735. Dagher, R. K., P. M. McGovern, and B. E. Dowd. 2014. Maternity leave duration and postpartum mental and physical health: Implications for leave policies. Journal of Health Politics Policy and Law 39(2):369–416. De Ruddere, L., and K. D. Craig. 2016. Understanding stigma and chronic pain: A-state-of-the-art review. Pain 157(8):1607-1610. Declercq, E., and L. C. Zephyrin. 2021. Severe maternal morbidity in the United States: A primer. New York, NY:Commonwealth Fund. Dhana, K., D. A. Evans, K. B. Rajan, D. A. Bennett, and M. C. Morris. 2020. Healthy lifestyle and the risk of Alzheimer dementia: Findings from 2 longitudinal studies. Neurology 95(4):e374–e383. Duarte, C. D. P., L. Salas-Hernández, and J. S. Griffin. 2020. Policy determinants of inequitable exposure to the criminal legal system and their health consequences among young people. American Journal of Public Health 110(S1):S43–S49. Duarte, M. A., Jr., S. Pintos Carrillo, D. Martínez-Gómez, M. Sotos Prieto, F. Rodríguez-Artalejo, and V. Cabanas Sánchez. 2024. Lifestyle behaviors, social and economic disadvantages, and all-cause and cardiovascular mortality: Results from the U.S. National Health Interview Survey. Frontiers in Public Health 12. Dugan, S. A., T. T. Lewis, S. A. Everson-Rose, E. A. Jacobs, S. D. Harlow, and I. Janssen. 2017. Chronic discrimination and bodily pain in a multiethnic cohort of midlife women in the Study of Women’s Health Across the Nation. Pain 158(9):1656–1665. Edwards, L., S. K. Jamieson, J. Bowman, S. Chang, J. Newton, and E. Sullivan. 2022. A systematic review of post-release programs for women exiting prison with substance-use disorders: Assessing current programs and weighing the evidence. Health & Justice 10(1):1. Engel, G. L. 1977. The need for a new medical model: A challenge for biomedicine. Science 196(4286):129–136. PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 17 Everett, B. G., J. A. Higgins, S. Haider, and E. Carpenter. 2019. Do sexual minorities receive appropriate sexual and reproductive health care and counseling? Journal of Women's Health 28(1):53-62. Farhoudian, A., E. Razaghi, Z. Hooshyari, A. Noroozi, A. Pilevari, A. Mokri, M. R. Mohammadi, and M. Malekinejad. 2022. Barriers and facilitators to substance use disorder treatment: An overview of systematic reviews. Substance Abuse: Research and Treatment 16:117822182211184. Fauser, B., G. D. Adamson, J. Boivin, G. M. Chambers, C. de Geyter, S. Dyer, M. C. Inhorn, L. Schmidt, G. I. Serour, B. Tarlatzis, and F. Zegers-Hochschild. 2024. Declining global fertility rates and the implications for family planning and family building: An IFFS consensus document based on a narrative review of the literature. Human Reproduction Update 30(2):153–173. Fernández-Esquer, M. E., C. F. Aguerre, M. Ojeda, L. D. Brown, J. S. Atkinson, J. M. Rhoton, C. E. Da Silva, and P. M. Diamond. 2020. Documenting and understanding workplace injuries among Latino day laborers. Journal of Health Care for the Poor and Underserved 31(2):791-809. Ford, N., I. Eshun-Wilson, W. Ameyan, M. Newman, L. Vojnov, M. Doherty, and E. Geng. 2021. Future directions for HIV service delivery research: Research gaps identified through WHO guideline development. PLOS Med 18(9):e1003812. Galvez-Sánchez, C. M., and G. A. Reyes Del Paso. 2020. Diagnostic criteria for fibromyalgia: Critical review and future perspectives. Journal of Clinical Medicine 9(4). Giurgescu, C., S. N. Zenk, C. G. Engeland, L. Garfield, and T. N. Templin. 2017. Racial discrimination and psychological wellbeing of pregnant women. The American Journal of Maternal/Child Nursing 42(1):8–13. Goedel, W. C., A. Shapiro, M. Cerdá, J. W. Tsai, S. E. Hadland, and B. D. L. Marshall. 2020. Association of racial/ethnic segregation with treatment capacity for opioid use disorder in counties in the United States. JAMA Network Open 3(4):e203711. Gold, E. B., A. Colvin, N. Avis, J. Bromberger, G. A. Greendale, L. Powell, B. Sternfeld, and K. Matthews. 2006. Longitudinal analysis of the association between vasomotor symptoms and race/ethnicity across the menopausal transition: Study of Women’s Health Across the Nation. American Journal of Public Health 96(7):1226–1235. Gough Courtney, M., J. Roberts, and K. Godde. 2023. Structural inequity and socioeconomic status link to osteoporosis diagnosis in a population-based cohort of middle-older-age Americans. Inquiry 60:469580231155719. Grady, C. D., C. Dehlendorf, E. D. Cohen, E. B. Schwarz, and S. Borrero. 2015. Racial and ethnic differences in contraceptive use among women who desire no future children, 2006–2010 National Survey of Family Growth. Contraception 92(1):62–70. Green, C. R., S. K. Ndao-Brumblay, B. West, and T. Washington. 2005. Differences in prescription opioid analgesic availability: Comparing minority and White pharmacies across Michigan. Journal of Pain 6(10):689-699. Greenfield, S. F., A. J. Brooks, S. M. Gordon, C. A. Green, F. Kropp, R. K. McHugh, M. Lincoln, D. Hien, and G. M. Miele. 2007. Substance abuse treatment entry, retention, and outcome in women: A review of the literature. Drug and Alcohol Dependence 86(1):1–21. Greenfield, S. F., S. E. Back, K. Lawson, and K. T. Brady. 2010. Substance abuse in women. Psychiatric Clinics of North America 33(2):339–355. Gronewold, J., M. Engels, S. Van De Velde, T. K. M. Cudjoe, E.-E. Duman, M. Jokisch, C. Kleinschnitz, K. Lauterbach, R. Erbel, K.-H. Jöckel, and D. M. Hermann. 2021. Effects of life events and social isolation on stroke and coronary heart disease. Stroke 52(2):735–747. Hanley, O., J. Miner, E. Rockswold, and M. Biros. 2011. The relationship between chronic illness, chronic pain, and socioeconomic factors in the ED. American Journal of Emergency Medicine 29(3):286–292. Herring, T. 2020. Since you asked: What role does drug enforcement play in the rising incarceration of women? https://www.prisonpolicy.org/blog/2020/11/10/women-drug-enforcement/ (access May 16, 2024) PREPUBLICATION COPY: UNCORRECTED PROOFS

18 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN HHS. Social determinants of health literature summaries. https://health.gov/healthypeople/priority- areas/social-determinants-health/literature-summaries (accessed May 16, 2024). HHS. 2020. Social and community context. https://health.gov/healthypeople/objectives-and-data/browse- objectives/social-and-community-context (accessed May 16, 2024). HHS. 2022. Access to health services. https://wayback.archive- it.org/5774/20220413202227/https:/www.healthypeople.gov/2020/topics- objectives/topic/Access-to-Health-Services#1 (accessed May 16, 2024). Homan, P. 2019. Structural sexism and health in the United States: A new perspective on health inequality and the gender system. American Sociological Review 84(3):486-516. Hruschak, V. M. R., and G. Cochran. 2017. Psychosocial and environmental factors in the prognosis of individuals with chronic pain and comorbid mental health. Social Work and Health Care 56(7):573–587. Huang, Z., W. Guo, and J. T. Martin. 2023. Socioeconomic status, mental health, and nutrition are the principal traits for low back pain phenotyping: Data from the osteoarthritis initiative. JOR Spine 6(2):e1248. Iaccarino, L., R. La Joie, O. H. Lesman-Segev, E. Lee, L. Hanna, I. E. Allen, B. E. Hillner, B. A. Siegel, R. A. Whitmer, M. C. Carrillo, C. Gatsonis, and G. D. Rabinovici. 2021. Association between ambient air pollution and amyloid positron emission tomography positivity in older adults with cognitive impairment. JAMA Neurology 78(2):197–207. Institute of Medicine. 1993. Access to health care in America, edited by M. Millman. Washington, DC: The National Academies Press. Jeng, C., L.-J. Zhao, K. Wu, Y. Zhou, T. Chen, and H.-W. Deng. 2018. Race and socioeconomic effect on sarcopenia and sarcopenic obesity in the Louisiana Osteoporosis Study (LOS). JCSM Clinical Reports 3(2):1–8. Jimenez, M. P., E. G. Elliott, N. V. Deville, F. Laden, J. E. Hart, J. Weuve, F. Grodstein, and P. James. 2022. Residential green space and cognitive function in a large cohort of middle-aged women. JAMA Network Open 5(4):e229306. Karran, E. L., A. R. Grant, and G. L. Moseley. 2020. Low back pain and the social determinants of health: A systematic review and narrative synthesis. Pain 161(11):2476–2493. Keenan, B. P., E. Barr, E. Gleeson, C. C. Greenberg, and S. M. Temkin. 2023. Structural sexism and cancer care: The effects on the patient and oncologist. American Society of Clinical Oncology educational book. 43:e391516. Kelley, A. S., Y. Qin, E. E. Marsh, and J. M. Dupree. 2019. Disparities in accessing infertility care in the United States: Results from the National Health and Nutrition Examination Survey, 2013–16. Fertility and Sterility 112(3):562–568. Kemet, S., Y. Yang, O. Nseyo, F. Bell, A. Y.-A. Gordon, M. Mays, M. Fowler, and A. Jackson. 2022. “When I think of mental healthcare, I think of no care.” Mental health services as a vital component of prenatal care for Black women. Maternal and Child Health Journal 26(4):778-787. Keogh, E. 2022. Sex and gender differences in pain: Past, present, and future. Pain 163(S1):S108–S116. Kiarashi, J., J. VanderPluym, C. L. Szperka, S. Turner, M. T. Minen, S. Broner, A. C. Ross, A. E. Wagstaff, M. Anto, M. Marzouk, T. S. Monteith, N. Rosen, S. L. Manrriquez, E. Seng, A. Finkel, and L. T. Charleston. 2021. Factors associated with, and mitigation strategies for, health care disparities faced by patients with headache disorders. Neurology 97(6):280–289. Kim, C., A. Lane, T. T. Vu, C. B. Lewis, Z. Yin, H. Jiang, R. J. Auchus, and P. J. Schreiner. 2024. Prospective early adulthood risk factors for vasomotor symptoms in the Coronary Artery Risk Development in Young Adults Study. Menopause 31(1530–0374):108–115. King, D. E., J. Xiang, and C. S. Pilkerton. 2018. Multimorbidity trends in United States adults, 1988– 2014. The Journal of the American Board of Family Medicine 31(4):503–513. PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 19 Kochersberger, A., A. Coakley, L. Millheiser, J. R. Morris, C. Manneh, A. Jackson, J. L. Garrison, and E. Hariton. 2024. The association of race, ethnicity, and socioeconomic status on the severity of menopause symptoms: A study of 68,864 women. Menopause 31(6), 476–483. Kool, M. B., R. van de Schoot, I. López-Chicheri García, R. Mewes, J. A. Da Silva, K. Vangronsveld, A. A. Wismeijer, M. A. Lumley, H. van Middendorp, J. W. Bijlsma, G. Crombez, W. Rief, and R. Geenen. 2014. Measurement invariance of the illness invalidation inventory (3*i) across language, rheumatic disease and gender. Annals of the Rheumatic Diseases 73(3):551-556. Kool, M. B., H. van Middendorp, H. R. Boeije, and R. Geenen. 2009. Understanding the lack of understanding: Invalidation from the perspective of the patient with fibromyalgia. Arthritis and Rheumatism 61 12:1650–1656. Krogstad, J. M., and G. Lopez. 2016. Roughly half of Hispanics have experienced discrimination. Washington, D.C:Pew Research Center. LaMonte, M. J., J. Wactawski-Wende, J. C. Larson, X. Mai, J. A. Robbins, M. S. LeBoff, Z. Chen, R. D. Jackson, A. Z. LaCroix, J. K. Ockene, K. M. Hovey, and J. A. Cauley. 2019. Association of physical activity and fracture risk among postmenopausal women. JAMA Network Open 2(10):e1914084. Lawesson, S. S., R.-M. Isaksson, M. Ericsson, K. Ängerud, and I. Thylén. 2018. Gender disparities in first medical contact and delay in ST-elevation myocardial infarction: A prospective multicentre Swedish survey study. BMJ Open 8(5):e020211. Letzen, J. E., V. A. Mathur, M. R. Janevic, M. D. Burton, A. M. Hood, C. A. Morais, S. Q. Booker, C. M. Campbell, E. N. Aroke, B. R. Goodin, L. C. Campbell, and E. N. Merriwether. 2022. Confronting racism in all forms of pain research: Reframing study designs. Journal of Pain 23(6):893–912. Levine, D. A., V. G. Wadley, K. M. Langa, F. W. Unverzagt, M. U. Kabeto, B. Giordani, G. Howard, V. J. Howard, M. Cushman, S. E. Judd, and A. T. Galecki. 2018. Risk factors for poststroke cognitive decline: The REGARDS study (reasons for geographic and racial differences in stroke). Stroke 49(4):987–994. Lewis, C. R., J. S. Talboom, M. D. De Both, A. M. Schmidt, M. A. Naymik, A. K. Håberg, T. Rundek, B. E. Levin, S. Hoscheidt, Y. Bolla, R. D. Brinton, M. Hay, C. A. Barnes, E. Glisky, L. Ryan, and M. J. Huentelman. 2021. Smoking is associated with impaired verbal learning and memory performance in women more than men. Scientific Reports 11(1). Li, Q., J. A. Douglas, and A. M. Subica. 2023. Examining neighbourhood-level disparities in Black, Latina/o, Asian, and White physical health, mental health, chronic conditions, and social disadvantage in California. Global Public Health 18(1). Lloyd, E. P., G. A. Paganini, and L. ten Brinke. 2020. Gender stereotypes explain disparities in pain care and inform equitable policies. Policy Insights from the Behavioral and Brain Sciences 7(2):198– 204. Logan, R. G., E. M. Daley, C. A. Vamos, A. Louis-Jacques, and S. L. Marhefka. 2021. “When is health care actually going to be care?” The lived experience of family planning care among young Black women. Qualitative Health Research 31(6):1169–1182. Lohana, A. C., Z. Rahaman, Y. N. Mohammed, S. D. Samreen, A. Gulati, F. Shivani, S. Khurana, D. Kumar, and S. Kirshan Kumar. 2024. A systematic review of gender disparity in the authorship of clinical trials and clinical practice guidelines in various medicine subspecialties. Cureus 16(2):e54165. Macgregor C., J. Walumbe, E. Tulle, C. Seenan, and D.N. Blane. 2023. Intersectionality as a theoretical framework for researching health inequities in chronic pain. British Journal of Pain 17(5):479- 490. Madsen, T. E., M. Samaei, A. Pikula, A. Y. X. Yu, C. Carcel, E. Millsaps, R. S. Yalamanchili, N. Bencie, A. N. Dula, M. Leppert, T. Rundek, R. P. Dreyer, and C. Bushnell. 2022. Sex differences in physical activity and incident stroke: A systematic review. Clinical Therapeutics 44(4):586–611. Maly, A., and A. H. Vallerand. 2018. Neighborhood, socioeconomic, and racial influence on chronic pain. Pain Management Nursing 19(1):14–22. PREPUBLICATION COPY: UNCORRECTED PROOFS

20 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN Martin, C. E., A. B. Parlier-Ahmad, L. Beck, A. Scialli, and M. Terplan. 2022. Need for and receipt of substance use disorder treatment among adults, by gender, in the United States. Public Health Reports 137(5):955-963. Mayer, K. H., A. Agwu, and D. Malebranche. 2020. Barriers to the wider use of pre-exposure prophylaxis in the United States: A narrative review. Advances in Therapy 37(5):1778–1811. McHugh, R. K., V. R. Votaw, D. E. Sugarman, and S. F. Greenfield. 2018. Sex and gender differences in substance use disorders. Clinical Psychology Review 66:12–23. McSweeney, J. C., A. G. Rosenfeld, W. M. Abel, L. T. Braun, L. E. Burke, S. L. Daugherty, G. F. Fletcher, M. Gulati, L. S. Mehta, C. Pettey, and J. F. Reckelhoff. 2016. Preventing and experiencing ischemic heart disease as a woman: State of the science. Circulation 133(13):1302- 1331. Meghani, S. H., R. C. Polomano, R. C. Tait, A. H. Vallerand, K. O. Anderson, and R. M. Gallagher. 2012. Advancing a national agenda to eliminate disparities in pain care: Directions for health policy, education, practice, and research. Pain Medicine 13(1):5–28. Mehta, L. S., G. P. Velarde, J. Lewey, G. Sharma, R. M. Bond, A. Navas-Acien, A. M. Fretts, G. S. Magwood, E. Yang, R. S. Blumenthal, R. M. Brown, and J. H. Mieres. 2023. Cardiovascular disease risk factors in women: The impact of race and ethnicity: A scientific statement from the American Heart Association. Circulation 147(19):1471–1487. Metzler, M., M. T. Merrick, J. Klevens, K. A. Ports, and D. C. Ford. 2017. Adverse childhood experiences and life opportunities: Shifting the narrative. Children and Youth Services Review 72:141-149. Miller, S. J., S. E. Harrison, and K. Sanasi-Bhola. 2021. A scoping review investigating relationships between depression, anxiety, and the prep care continuum in the United States. International Journal of Environmental Research and Public Health 18(21):11431. Mirin, A. A. 2021. Gender disparity in the funding of diseases by the U.S. National Institutes of Health. Journal of Women's Health 30(7):956-963. Mirzaei, S., A. Steffen, K. Vuckovic, C. Ryan, U. G. Bronas, J. Zegre-Hemsey, and H. A. DeVon. 2020. The association between symptom onset characteristics and prehospital delay in women and men with acute coronary syndrome. European Journal of Cardiovascular Nursing 19(2):142–154. Monsivais, D. B. 2013. Decreasing the stigma burden of chronic pain. Journal of the American Association of Nurse Practitioners 25(10): 551–556. Moretti, C., E. De Luca, C. D’Apice, G. Artioli, L. Sarli, and A. Bonacaro. 2023. Gender and sex bias in prevention and clinical treatment of women’s chronic pain: Hypotheses of a curriculum development. Frontiers in Medicine 10:1189126. Nagle, A., and G. Samari. 2021. State-level structural sexism and cesarean sections in the United States. Social Science & Medicine 289:114406. NASEM (National Academies of Sciences, Engineering, and Medicine). 2017. Communities in action: Pathways to health equity. Edited by J. N. Weinstein, A. Geller, Y. Negussie, and A. Baciu. Washington, DC: The National Academies Press. NASEM. 2019. The promise of adolescence: Realizing opportunity for all youth. Edited by R. J. Bonnie and E. P. Backes. Washington, DC: The National Academies Press. NASEM. 2021. Sexually transmitted infections: Adopting a sexual health paradigm. Edited by S. H. Vermund, A. B. Geller, and J. S. Crowley. Washington, DC: The National Academies Press. NASEM. 2023. Federal policy to advance racial, ethnic, and tribal health equity. Edited by S. P. Burke, D. E. Polsky, and A. B. Geller. Washington, DC: The National Academies Press. Nawfal, E. S., A. Gray, D. M. Sheehan, G. E. Ibañez, and M. J. Trepka. 2024. A systematic review of the impact of HIV-related stigma and serostatus disclosure on retention in care and antiretroviral therapy adherence among women with HIV in the United States/canada. AIDS Patient Care STDs 38(1):23-49. PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 21 Nelson, M. E., D. J. Jester, A. J. Petkus, and R. Andel. 2021. Cognitive reserve, Alzheimer’s neuropathology, and risk of dementia: A systematic review and meta-analysis. Neuropsychology Review 31(2):233–250. Onyewuenyi, T. L., K. Peterman, E. Zaritsky, M. L. Ritterman Weintraub, B. L. Pettway, C. P. Quesenberry, N. Nance, A. M. Surmava, and L. A. Avalos. 2023. Neighborhood disadvantage, race and ethnicity, and postpartum depression. JAMA Network Open 6(11):e2342398. Ospel, J. M., J. D. Schaafsma, T. M. Leslie-Mazwi, S. Amin-Hanjani, N. Asdaghi, G. L. Gordon-Perue, P. Couillard, N. N. Hadidi, C. Bushnell, L. D. McCullough, and M. Goyal. 2022. Toward a better understanding of sex- and gender-related differences in endovascular stroke treatment: A scientific statement from the American Heart Association/American Stroke Association. Stroke 53(8):e396–e406. Overstreet, D. S., B. D. Pester, J. M. Wilson, K. M. Flowers, N. K. Kline, and S. M. Meints. 2023. The experience of BIPOC living with chronic pain in the USA: Biopsychosocial factors that underlie racial disparities in pain outcomes, comorbidities, inequities, and barriers to treatment. Current Pain and Headache Reports 27(1):1–10. Owens, D. C. 2017. Medical bondage: Race, gender, and the origins of American gynecology. Athens, GA: University of Georgia Press. Pace, A., M. Barber, J. Ziplow, J. A. Hranilovich, and E. A. Kaiser. 2021. Gender minority stress, psychiatric comorbidities, and the experience of migraine in transgender and gender-diverse individuals: A narrative review. Current Pain and Headache Reports 25(12):82. Pelletier, R., N. A. Khan, J. Cox, S. S. Daskalopoulou, M. J. Eisenberg, S. L. Bacon, K. L. Lavoie, K. Daskupta, D. Rabi, K. H. Humphries, C. M. Norris, G. Thanassoulis, H. Behlouli, and L. Pilote. 2016. Sex versus gender-related characteristics: Which predicts outcome after acute coronary syndrome in the young? Journal of the American College of Cardiology 67(2):127–135. Persaud, N., M. Ally, H. Woods, A. Workentin, N. N. Baxter, A. Boozary, Q. Grundy, A. Lofters, K. McKenzie, A. Pinto, H. J. Schünemann, and S. Straus. 2022. Racialised people in clinical guideline panels. Lancet 399(10320):139-140. Pilver, C. E., R. Desai, S. Kasl, and B. R. Levy. 2011. Lifetime discrimination associated with greater likelihood of premenstrual dysphoric disorder. Journal of Women’s Health 20(6):923–931. Quintner, J. 2020. Why are women with fibromyalgia so stigmatized? Pain Medicine 21(5):882–888. Quiton, R. L., D. K. Leibel, E. L. Boyd, S. R. Waldstein, M. K. Evans, and A. B. Zonderman. 2020. Sociodemographic patterns of pain in an urban community sample: An examination of intersectional effects of sex, race, age, and poverty status. Pain 161(5):1044–1051. Rapp, K. S., V. V. Volpe, T. L. Hale, and D. F. Quartararo. 2022. State-level sexism and gender disparities in health care access and quality in the United States. Journal of Health and Social Behavior 63(1):2-18. Rawlings, A. M., A. R. Sharrett, T. H. Mosley, D. F. Wong, D. S. Knopman, and R. F. Gottesman. 2019. Cognitive reserve in midlife is not associated with amyloid-β deposition in late-life. Journal of Alzheimer’s Disease 68(2):517–521. Rodriguez, M. I., A. Martinez-Acevedo, M. Kaufman, E. C. Nacev, K. Mackiewicz-Seghete, and K. J. McConnell. 2024. Diagnosis of perinatal mental health conditions following Medicaid expansion to include low-income immigrants. JAMA Netw Open 7(2):e240062. Rodriguez, M. I., T. H. A. Meath, A. Daly, K. Watson, and K. John McConnell. 2023a. The association of federal Medicaid abortion funding restrictions with adverse obstetric outcomes among United States Medicaid recipients. Contraception 126:110116. Rodriguez, M. I., M. Skye, A. M. Acevedo, J. J. Swartz, A. B. Caughey, and K. J. McConnell. 2023b. Postpartum expansion of emergency medicaid is associated with increased receipt of recommended glycemic screening and care. Journal of Immigrant and Minority Health 25(6):1221-1228. Rosenfeld, A. G. 2004. Treatment-seeking delay among women with acute myocardial infarction: Decision trajectories and their predictors. Nursing Research 53(4):225–236. PREPUBLICATION COPY: UNCORRECTED PROOFS

22 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN Salganicoff, A., L. Sobel, and A. Ramaswamy. 2020. The Hyde Amendment and coverage for abortion services. San Francisco, CA:Kaiser Family Foundation. Salisbury, H. 2020. Helen Salisbury: Is lifestyle a choice? British Medical Journal:m2701. SAMHSA (Substance Abuse and Mental Health Services Administration). 2017. National Survey of Substance Abuse Treatment Facilities (N-SSATS): 2016, Data on substance abuse treatment facilities. Washington, DC: Substance Abuse and Mental Health Services Administration. SAMHSA. 2019. National Survey of Substance Abuse Treatment Facilities (N-SSATS): 2018, Data on substance abuse treatment facilities. Washington, DC: Substance Abuse and Mental Health Services Administration. SAMHSA. 2021. Addressing the specific needs of women for treatment of substance use disorders. Washington, DC: Substance Abuse and Mental Health Services Administration. Samulowitz, A., I. Gremyr, E. Eriksson, and G. Hensing. 2018. “Brave men” and “emotional women”: A theory-guided literature review on gender bias in health care and gendered norms towards patients with chronic pain. Pain Research and Management 2018:1–14. Schiff, D. M., T. Nielsen, B. B. Hoeppner, M. Terplan, H. Hansen, D. Bernson, H. Diop, M. Bharel, E. E. Krans, S. Selk, J. F. Kelly, T. E. Wilens, and E. M. Taveras. 2020. Assessment of racial and ethnic disparities in the use of medication to treat opioid use disorder among pregnant women in Massachusetts. JAMA Network Open 3(5):e205734. Seguin-Fowler, R. A., A. Z. LaCroix, M. J. LaMonte, J. Liu, J. E. Maddock, C. D. Rethorst, C. E. Bird, M. L. Stefanick, and J. E. Manson. 2022. Association of neighborhood walk score with accelerometer-measured physical activity varies by neighborhood socioeconomic status in older women. Preventive Medicine Reports 29:101931. Sharp, E. S., and M. Gatz. 2011. Relationship between education and dementia. Alzheimer Disease & Associated Disorders 25(4):289–304. Shih, G., E. Vittinghoff, J. Steinauer, and C. Dehlendorf. 2011. Racial and ethnic disparities in contraceptive method choice in California. Perspectives on Sexual and Reproductive Health 43(3):173–180. Sidebottom, A., M. Vacquier, E. LaRusso, D. Erickson, and R. Hardeman. 2021. Perinatal depression screening practices in a large health system: Identifying current state and assessing opportunities to provide more equitable care. Archives of Women’s Mental Health 24(1):133–144. Skolarus, L. E., A. Sharrief, H. Gardener, C. Jenkins, and B. Boden-Albala. 2020. Considerations in addressing social determinants of health to reduce racial/ethnic disparities in stroke outcomes in the United States. Stroke 51(11):3433–3439. Sosinsky, A. Z., J. W. Rich-Edwards, A. Wiley, K. Wright, P. A. Spagnolo, and H. Joffe. 2022. Enrollment of female participants in United States drug and device phase 1-3 clinical trials between 2016 and 2019. Contemporary Clinical Trials 115:106718. Springer, S. A., B. E. Biondi, C. Frank, and N. El-Bassel. 2020. A call to action to combat the opioid epidemic among women. Journal of Addiction and Medicine 14(5):364–366. Staton, M., M. Tillson, M. M. Levi, M. Dickson, M. Webster, and C. Leukefeld. 2023. Identifying and treating incarcerated women experiencing substance use disorders: A review. Substance Abuse and Rehabilitation 14:131–145. Stern, Y., E. M. Arenaza‐Urquijo, D. Bartrés‐Faz, S. Belleville, M. Cantilon, G. Chetelat, M. Ewers, N. Franzmeier, G. Kempermann, W. S. Kremen, O. Okonkwo, N. Scarmeas, A. Soldan, C. Udeh‐ Momoh, M. Valenzuela, P. Vemuri, and E. Vuoksimaa. 2020. Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimer’s & Dementia 16(9):1305–1311. Stone, R. 2015. Pregnant women and substance use: Fear, stigma, and barriers to care. Health & Justice 3:2. Sullivan, M. J., W. Scott, and Z. Trost. 2012. Perceived injustice: A risk factor for problematic pain outcomes. Clinical Journal of Pain 28(6):484–488. PREPUBLICATION COPY: UNCORRECTED PROOFS

STRUCTURAL AND SOCIAL DETERMINANTS OF HEALTH 23 Sundaresh, R., Y. Yi, B. Roy, C. Riley, C. Wildeman, and E. A. Wang. 2020. Exposure to the U.S. criminal legal system and well-being: A 2018 cross-sectional study. American Journal of Public Health 110(S1):S116–S122. Swan, L., A. Warters, and M. O’Sullivan. 2021. Socioeconomic inequality and risk of sarcopenia in community-dwelling older adults. Clinical Interventions in Aging 16:1119–1129. Swedo, E. A., M. V. A. L. L. Dahlberg, P. H. Niolon, A. S. Guinn, T. R. Simon, and J. A. Mercy. 2023. Prevalence of adverse childhood experiences among U.S. Adults -- Behavioral Risk Factor Surveillance System, 2011-2020. Morbidity and Mortality Weekly Report 72(26), 707–715. Tait, R. C., and J. T. Chibnall. 2014. Racial/ethnic disparities in the assessment and treatment of pain: Psychosocial perspectives. American Psychologist 69(2):131–141. Tietjen, G. E., D. C. Buse, K. M. Fanning, D. Serrano, M. L. Reed, and R. B. Lipton. 2015. Recalled maltreatment, migraine, and tension-type headache. Neurology 84(2):132–140. Tisminetzky, M., J. H. Gurwitz, R. Miozzo, A. Nunes, J. M. Gore, D. Lessard, J. Yarzebski, E. Granillo, and R. J. Goldberg. 2020. Age differences in the chief complaint associated with a first acute myocardial infarction and patient’s care-seeking behavior. The American Journal of Medicine 133(9):e501–e507. Trawalter, S., and K. M. Hoffman. 2015. Got pain? Racial bias in perceptions of pain. Social and Personality Psychology Compass 9(3):146-157. Tribble, A. G., P. Summers, H. Chen, S. A. Quandt, and T. A. Arcury. 2016. Musculoskeletal pain, depression, and stress among Latino manual laborers in North Carolina. Archives of Environmental & Occupational Health 71(6):309-316. Tsao, C. W., A. W. Aday, Z. I. Almarzooq, C. A. M. Anderson, P. Arora, C. L. Avery, C. M. Baker- Smith, A. Z. Beaton, A. K. Boehme, A. E. Buxton, Y. Commodore-Mensah, M. S. V. Elkind, K. R. Evenson, C. Eze-Nliam, S. Fugar, G. Generoso, D. G. Heard, S. Hiremath, J. E. Ho, R. Kalani, D. S. Kazi, D. Ko, D. A. Levine, J. Liu, J. Ma, J. W. Magnani, E. D. Michos, M. E. Mussolino, S. D. Navaneethan, N. I. Parikh, R. Poudel, M. Rezk-Hanna, G. A. Roth, N. S. Shah, M. P. St-Onge, E. L. Thacker, S. S. Virani, J. H. Voeks, N. Y. Wang, N. D. Wong, S. S. Wong, K. Yaffe, and S. S. Martin. 2023. Heart disease and stroke statistics-2023 update: A report from the American Heart Association. Circulation 147(8):e93-e621. Turk, D. C., and E. S. Monarch. 2002. Biopsychosocial perspective on chronic pain. In Psychological Approaches to Pain Management: A Practitioner’s Handbook, 2nd ed. New York, NY:The Guilford Press. U..S. Bureau of Labor Statistics, U. S. Department of Labor. 2010. 2010 annual averages ‐ household data (CPS) ‐ tables from employment and earnings, characteristics of the employed, 10. Employed persons by occupation, race, Hispanic or Latino ethnicity, and sex. https://www.bls.gov/cps/aa2010/aat10.txt (accessed April 18, 2024). U.S. Bureau of Labor Statistics, U. S. Department of Labor. 2015. Hispanics and Latinos in industries and occupations. https://www.bls.gov/opub/ted/2015/hispanics-and-latinos-in-industries-and- occupations.htm (accessed April 18, 2024). van Draanen, J., C. Tsang, S. Mitra, M. Karamouzian, and L. Richardson. 2020. Socioeconomic marginalization and opioid-related overdose: A systematic review. Drug and Alcohol Dependence 214:108127. Vohra-Gupta, S., L. Petruzzi, C. Jones, and C. Cubbin. 2023. An intersectional approach to understanding barriers to healthcare for women. Journal of Community Health 48(1):89-98. Walcott, M., M.-C. Kempf, J. S. Merlin, and J. M. Turan. 2016. Structural community factors and sub- optimal engagement in HIV care among low-income women in the Deep South of the USA. Culture, Health & Sexuality 18(6):682–694. Waldron, E. M., I. Burnett-Zeigler, V. Wee, Y. W. Ng, L. J. Koenig, A. B. Pederson, E. Tomaszewski, and E. S. Miller. 2021. Mental health in women living with HIV: The unique and unmet needs. Journal of the International Association of Providers of AIDS Care 20:232595822098566. PREPUBLICATION COPY: UNCORRECTED PROOFS

24 ADVANCING RESEARCH ON CHRONIC CONDITIONS IN WOMEN Woo, B., N. Kravitz-Wirtz, V. Sass, K. Crowder, S. Teixeira, and D. T. Takeuchi. 2019. Residential segregation and racial/ethnic disparities in ambient air pollution. Race and Social Problems 11(1):60–67. Yang, T.-C., and S. J. South. 2020. Neighborhood poverty and physical health at midlife: The role of life- course exposure. Journal of Urban Health 97(4):486–501. Younan, D., X. Wang, T. Gruenewald, M. Gatz, M. L. Serre, W. Vizuete, M. N. Braskie, N. F. Woods, K. Kahe, L. Garcia, F. Lurmann, J. E. Manson, H. C. Chui, R. B. Wallace, M. A. Espeland, and J.-C. Chen. 2022. Racial/ethnic disparities in Alzheimer’s disease risk: Role of exposure to ambient fine particles. The Journals of Gerontology: Series A 77(5):977–985. Zajacova, A., R. G. Rogers, E. Grodsky, and H. Grol-Prokopczyk. 2020. The relationship between education and pain among adults aged 30–49 in the United States. The Journal of Pain 21(11– 12):1270–1280. Zephyrin, L., L. Suennen, P. Viswanathan, and J. A. D. Bachrach. 2020. Transforming primary health care for women—part 1: A framework for addressing gaps and barriers. The Commonwealth Fund (July 2020). Zhang, L., E. A. R. Losin, Y. K. Ashar, L. Koban, and T. D. Wager. 2021. Gender biases in estimation of others’ pain. The Journal of Pain 22(9):1048–1059. Zhu, Z., Z. Yang, L. Xu, Y. Wu, L. Yu, P. Shen, H. Lin, L. Shui, M. Tang, M. Jin, J. Wang, and K. Chen. 2023. Exposure to neighborhood walkability and residential greenness and incident fracture. JAMA Network Open 6(9):e2335154. PREPUBLICATION COPY: UNCORRECTED PROOFS

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Women in the United States experience a higher prevalence of many chronic conditions, including Alzheimer's disease, depression, and osteoporosis, than men; they also experience female-specific conditions, such as endometriosis and pelvic floor disorders. A lack of research into both the biological and social factors that influence these conditions greatly hinders diagnosis, treatment, and prevention efforts, thus contributing to poorer health outcomes for women and substantial costs to individuals and for society.

The National Institutes of Health's Office of Research on Women's Health asked the National Academies of Sciences, Engineering, and Medicine to convene an expert committee to identify gaps in the science on chronic conditions that are specific to or predominantly impact women, or affect women differently, and propose a research agenda. The committee's report presents their conclusions and recommendations.

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