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BACKGROUND: Cognitive impairment is associated with increased mortality rates in late life, but it is unclear whether worse cognition predicts working-age mortality. METHODS: The data come from a U.S. national survey (N = 3 973 aged 32-84 at cognitive testing in 2004-06, mean age 56.6, 56.3% female; N = 3 055 retested in 2013-18 at ages 42-94, mean age 64.6, 56.6% female; mortality follow-up through 2019). We use Cox hazard models to investigate whether cognition is associated with mortality below age 65, how the magnitude of this risk compares with the risk in later life, and whether the association persists after adjusting for potential confounders. RESULTS: Worse cognition is associated with mortality, but the demographic-adjusted hazard ratio (HR) diminishes with age from 2.0 per standard deviation (SD; 95% confidence interval [CI], 1.7-2.4) at age 55-1.4 (95% CI, 1.3-1.6) at age 85. In the fully adjusted model, the corresponding HRs are 1.4 (95% CI, 1.2-1.7) and 1.3 (95% CI, 1.1-1.4), respectively. The absolute differences in mortality by level of cognition, however, are larger at older ages because mortality is rare at younger ages. The fully adjusted model implies a 2.7 percentage point differential in the estimated percentage dying between ages 55 and 65 for those with low cognition (1 SD below the overall mean, 5.7%) versus high cognition (1 SD above the mean, 3.0%). The corresponding differential between ages 75 and 85 is 8.4 percentage points (24.6% vs 16.2%, respectively). CONCLUSIONS: Cognitive function may be a valuable early warning sign of premature mortality, even at working ages, when dementia is rare.

We investigated the contributions of income and wealth (beyond education) to Black-White disparities in cognition and evaluated whether the role of socioeconomic status (SES) varies by age. Based on data from a national survey of Americans (aged 23-94), we used regression models to quantify the overall racial disparities in episodic memory, executive function, and overall cognition, adjusted for sex and age. Potential mediators (i.e., measures of childhood environment, educational attainment, marital status, occupation, income, and wealth) were added in subsequent models. The age- and sex-adjusted Black-White differential in overall cognitive function was around one standard deviation (SD) between ages 25 and 50, but declined to 0.6 SD by age 80. Executive function followed a similar pattern, but the racial disparity in episodic memory declined more rapidly between ages 35 (0.7 SD) and 80 (0.2 SD). Childhood environment and the respondents educational attainment accounted for 20-25% of the racial disparities in overall cognition. The incremental contribution of household income was small (1-5%). Although wealth had only a small effect at younger ages, the contribution grew with age. Wealth was much more important than income in explaining Black-White disparities in cognition at older ages. Childhood environment, marital status, and SES (including wealth) accounted for one-third of the racial disparity in overall cognition at ages 35-65, but an even greater share at age 80. Our study is the first to demonstrate that, with increasing age, wealth explains more of the Black-White disparity in cognition. A widening racial gap in wealth and the disproportionate financial impact of the Great Recession and the COVID-19 pandemic on minorities do not bode well for Black-White differentials in cognition. Working-age Americans suffered the brunt of the economic impact of those events; the impact on cognition may increase as those cohorts grow older.

Little is known about sociodemographic and macro-level predictors of persistent smoking when one has developed a health condition that is likely caused by smoking. We investigate the impact of gender, education, and tobacco control policies (TCPs) on persistent smoking among older Europeans. Respondents (aged 50 +) with a smoking history and at least one smoking-related health condition were pooled from the Survey of Health, Aging and Retirement in Europe (SHARE) and the English Longitudinal Study of Ageing (ELSA) from four waves from 2004 to 2013. We fitted gender-specific logistic regression models with two-way fixed effects (country and year) and tested interaction terms between gender, education, and TCPs. Although women are less likely to smoke than men, they were more likely to smoke persistently. The effects of education and general TCPs on persistent smoking were significant for women only. Compared to women with low levels of education, those with moderate education (odds ratio [OR] = .63; .49-.82) and high education (OR = .57; .34-.98) are less likely to be persistent smokers. TCPs are associated with a reduced risk of women's persistent smoking (OR = .70; .51-.95) and the association is stronger for those having less education. Older women, particularly those with low levels of education, are vulnerable to persistent smoking. TCPs might be effective in reducing persistent smoking for older women, with greater effects for less-educated women. Future studies are needed to understand mechanisms that explain gender differences in responsiveness to TCPs. Persistent smoking is a particularly harmful smoking behavior as it is associated with greater risks of comorbidity and mortality. By employing the framework of the multilevel social determinants of health, this study examined the behavior of persistent smoking among older adults in European countries. Women, especially women with low levels of education are vulnerable to persistent smoking. Moreover, TCPs, in general, are significantly related to a reduction in persistent smoking among older women only and the negative association is stronger for those having less education, indicating gender and socioeconomic differences in responsiveness to TCPs.

ObjectivesCardiovascular health (CVH) is associated with reductions in age-related disease and later-life mortality. Black adults, particularly Black women, are less likely to achieve ideal CVH. Guided by intersectionality and life-course approaches, we examine to what degree (a) disparities in CVH exist at the intersection of race and gender and (b) CVH disparities would be reduced if marginalized groups had the same levels of resources and adversities as privileged groups.MethodsWe used biomarker subsamples from the Midlife in the United States Core and Refresher studies (N = 1,948). Causal decomposition analysis was implemented to test hypothetical interventions to equalize the distribution of early-life adversities (ELAs), perceived discrimination, or midlife socioeconomic status (SES) between marginalized and privileged groups. We conducted sensitivity analyses to determine to what degree unmeasured confounders would invalidate our findings.ResultsWhite women have the highest CVH score, followed by White men, Black men, and Black women. Intervening on ELAs would reduce the disparities: White men versus Black women (30% reduction) and White women versus Black women (15%). Intervening on perceived discrimination would not substantially change initial disparities. Intervening on midlife SES would yield large disparity reductions: White men versus Black men (64%), White men versus Black women (60%), and White women versus Black women (27%). These reductions are robust to unmeasured confounders.DiscussionProviding economic security in adulthood for Blacks may help reduce racial disparities in CVH. Preventing exposure to ELAs among Black women may reduce their vulnerability to cardiovascular disease, compared to White adults.

RationaleQuantitative health disparities research has increasingly employed intersectionality as a theoretical tool to investigate how social characteristics intersect to generate health inequality. Yet, intersectionality was not designed to quantify, predict, or identify health disparities, and, as a result, multiple criticisms against its misapplication in health disparities research have been made. As such, there is an emerging need to evaluate the growing body of quantitative research that aims to investigate health disparities through an intersectional lens.MethodsWe conducted a systematic review from earliest records to January 2020 to (i) describe the scope of limitations when applying intersectionality to quantitative health disparities research, and (ii) identify recommendations to improve the future integration of intersectionality with this scholarship. We identified relevant publications with electronic searches in PubMed and CA Web of Science. Studies eligible for inclusion were English-language publications that used quantitative methodologies to investigate health disparities among adults in the U.S. while explicitly claiming to adopt an intersectional perspective. Out of 1279 articles reviewed, 65 were eligible for inclusion.ResultsOur review found that, while the value of intersectionality to the study of health disparities is evident, the existing research struggles with meeting intersectionality's fundamental assumptions. In particular, four limitations were found to be widespread: narrowing the measurements of intersectionality, intersectional groups, and health outcomes; placing primacy on the study of certain intersectional groups to the neglect of others; overlooking underlying explanatory mechanisms that contribute to the health disparities experienced by intersectional groups; and, lacking in the use of life-course perspectives to show how health disparities vary across different life stages.ConclusionIf the goal of health equality is to be achieved among diverse intersectional groups, future research must be assisted by the collection and examination of data that overcomes these limitations.

BackgroundLittle is known about life-course factors that explain why some individuals continue smoking despite having smoking-related diseases.PurposeWe examined (a) the extent to which early-life adversities are associated with the risk of recalcitrant smoking, (b) psychosocial factors that mediate the association, and (c) gender differences in the associations.MethodsData were from 4,932 respondents (53% women) who participated in the first and follow-up waves of the Midlife Development in the U.S. National Survey. Early-life adversities include low socioeconomic status (SES), abuse, and family instability. Potential mediators include education, financial strain, purpose in life, mood disorder, family problems/support, and marital status. We used sequential logistic regression models to estimate the effect of early-life adversities on the risk of each of the three stages on the path to recalcitrant smoking (ever-smoking, smoking-related illness, and recalcitrant smoking).ResultsFor women, low SES (odds ratio [OR] = 1.29; 1.06-1.55) and family instability (OR = 1.73; 1.14-2.62) are associated with an elevated risk of recalcitrant smoking. Education significantly reduces the effect of childhood SES, yet the effect of family instability remains significant even after accounting for life-course mediators. For men, the effect of low SES on recalcitrant smoking is robust (OR = 1.48; 1.10-2.00) even after controlling for potential mediators. There are noteworthy life-course factors that independently affect recalcitrant smoking: for both genders, not living with a partner; for women, education; and for men, family problems.ConclusionsThe findings can help shape intervention programs that address the underlying factors of recalcitrant smoking.

ObjectivesSocioeconomic status (SES) is among the strongest determinants of body mass index (BMI), particularly for women. For older populations, selection bias due to attrition is a large barrier to assessing the accumulation of inequality. Under multiple missing data mechanisms, we investigated the extent to which childhood and midlife SES affects BMI from midlife to old age and gender differences in the association.MethodData come from a longitudinal national study of 2,345 U.S. adults aged 40-54 at baseline. We used latent growth models to estimate BMI trajectory over a period of 20 years. We examined results under different missing data patterns and applied methods that account for nonrandom-selection bias.ResultsCompared with individuals who had higher childhood SES, individuals who had lower childhood SES have higher BMI in midlife and experience a faster increase in BMI between midlife and old age. The observed associations remain significant even after controlling for midlife SES. After addressing nonrandom selection, the gap in BMI between high and low childhood SES widens from midlife to old age for women.DiscussionThe findings provide new evidence of cumulative inequality among older adults, documenting increasing BMI inequality from midlife to old age, particularly for women from low-SES families.

ObjectivesSocioeconomic status (SES) is among the strongest determinants of body mass index (BMI), particularly for women. For older populations, selection bias due to attrition is a large barrier to assessing the accumulation of inequality. Under multiple missing data mechanisms, we investigated the extent to which childhood and midlife SES affects BMI from midlife to old age and gender differences in the association.MethodData come from a longitudinal national study of 2,345 U.S. adults aged 40-54 at baseline. We used latent growth models to estimate BMI trajectory over a period of 20 years. We examined results under different missing data patterns and applied methods that account for nonrandom-selection bias.ResultsCompared with individuals who had higher childhood SES, individuals who had lower childhood SES have higher BMI in midlife and experience a faster increase in BMI between midlife and old age. The observed associations remain significant even after controlling for midlife SES. After addressing nonrandom selection, the gap in BMI between high and low childhood SES widens from midlife to old age for women.DiscussionThe findings provide new evidence of cumulative inequality among older adults, documenting increasing BMI inequality from midlife to old age, particularly for women from low-SES families.

RationaleSocioeconomic disadvantage, family instability, and abuse are widely studied early-life adversities (ELAs) that may co-occur in the lives of many. The detrimental effects of these adversities may result in elevated risk of mortality in midlife and old age.ObjectiveWe investigate how combinations of these three ELAs affect later-life mortality and the life-course mediators that explain the associations.MethodData come from the first two waves of the Midlife in the United States (MIDUS) study and mortality records over a 20-year period (1995/96-2015). We used latent class analysis (LCA) to identify patterns of ELAs across the three domains and incorporated four life-course mediators: material, psychological, social resources, healthy lifestyle and substance abuse.ResultsLCA yielded six distinct combinations of ELAs, with patterns of socioeconomic status (SES) and abuse being most salient. We found that childhood abuse exists across all levels of childhood SES. For both genders, individuals who experienced low SES combined with frequent abuse have the highest risk of death. For women but not men, frequent abuse increases the risk of mortality even if they grew up in middle or high SES families. For both genders, material resource is a significant contributor on the pathway from ELAs to mortality. Life-course mediators partially accounted for the observed associations between ELAs and mortality, but attenuation was stronger for men than women. This is partially attributed to the stronger direct effects of life-course resources on mortality for men than women.ConclusionsOur findings suggest that ELAs are an important determinant of mortality in midlife and old age. Traumatic experiences during the critical period of early life may compromise later-life heath more for women than men.

ObjectivesDespite growing awareness that children's education benefits the health of older parents, the underlying mechanisms of this relationship are not well-understood. We investigated (a) the associations between children's education and biological functioning of parents, (b) psychosocial and behavioral factors that explain the associations, and (c) gendered patterns in the associations.MethodsUsing longitudinal data from a nationally representative sample of older Taiwanese, we performed mediation analysis of the association between adult children's education and physiological dysregulation of their parents.ResultsOffspring's schooling is inversely associated with parental inflammation after controlling for parental socioeconomic status and baseline health. Parents who have well-educated children report higher social standing and life satisfaction, experience fewer stressful events, and are more likely to engage in healthy behaviors related to smoking and diet. These factors moderately attenuate the associations between children's education and parental inflammation. There is no conclusive evidence that mothers and fathers benefit differently from having well-educated children.DiscussionParents who devote family and personal resources to their offspring's schooling may have better biological profiles in later life. Well-educated children may promote their parents' wellbeing by strengthening perceived social status, reducing exposure to stressors, and encouraging a healthy lifestyle.

We investigate whether socioeconomic status (SES) in childhood shapes adult health lifestyles in domains of physical activity (leisure, work, chores) and diet (servings of healthy [i.e., nutrient-dense] vs. unhealthy [energy-dense] foods). Physical activity and food choices vary by gender and are key factors in the development of metabolic syndrome (MetS). Thus, we examined gender differences in the intervening role of these behaviors in linking early-life SES and MetS in adulthood. We used survey data (n = 1054) from two waves of the Midlife in the U.S. Study (MIDUS 1 and 2) and biomarker data collected at MIDUS 2. Results show that individuals who were disadvantaged in early life are more likely to participate in physical activity related to work or chores, but less likely to participate in leisure-time physical activity, the domain most consistently linked with health benefits. Women from low SES families were exceedingly less likely to complete recommended amounts of physical activity through leisure. Men from low SES consumed more servings of unhealthy foods and fewer servings of healthy foods. The observed associations between childhood SES and health lifestyles in adulthood persist even after controlling for adult SES. For men, lack of leisure-time physical activity and unhealthy food consumption largely explained the association between early-life disadvantage and MetS. For women, leisure-time physical activity partially accounted for the association, with the direct effect of childhood SES remaining significant. Evidence that material deprivation in early life compromises metabolic health in adulthood calls for policy attention to improve economic conditions for disadvantaged families with young children where behavioral pathways (including gender differences therein) may be shaped. The findings also underscore the need to develop gender-specific interventions in adulthood.

We investigate whether socioeconomic status (SES) in childhood shapes adult health lifestyles in domains of physical activity (leisure, work, chores) and diet (servings of healthy [i.e., nutrient-dense] vs. unhealthy [energy-dense] foods). Physical activity and food choices vary by gender and are key factors in the development of metabolic syndrome (MetS). Thus, we examined gender differences in the intervening role of these behaviors in linking early-life SES and MetS in adulthood. We used survey data (n = 1054) from two waves of the Midlife in the U.S. Study (MIDUS 1 and 2) and biomarker data collected at MIDUS 2. Results show that individuals who were disadvantaged in early life are more likely to participate in physical activity related to work or chores, but less likely to participate in leisure-time physical activity, the domain most consistently linked with health benefits. Women from low SES families were exceedingly less likely to complete recommended amounts of physical activity through leisure. Men from low SES consumed more servings of unhealthy foods and fewer servings of healthy foods. The observed associations between childhood SES and health lifestyles in adulthood persist even after controlling for adult SES. For men, lack of leisure-time physical activity and unhealthy food consumption largely explained the association between early-life disadvantage and MetS. For women, leisure-time physical activity partially accounted for the association, with the direct effect of childhood SES remaining significant. Evidence that material deprivation in early life compromises metabolic health in adulthood calls for policy attention to improve economic conditions for disadvantaged families with young children where behavioral pathways (including gender differences therein) may be shaped. The findings also underscore the need to develop gender-specific interventions in adulthood.

BackgroundRegular physical activity is a key way to prevent disease. However, we have a limited understanding of the socioeconomic precursors and glucoregulatory sequelae of engaging in physical activity in different domains.MethodsWe examined the associations among life course socioeconomic disadvantage; meeting the physical activity guidelines with leisure-time physical activity, occupational physical activity, or household physical activity; and prediabetes and diabetes in the Midlife in the United States national study (N = 986).ResultsChildhood disadvantage was associated with lower odds of meeting the guidelines with leisure-time physical activity (odds ratio = 0.75; 95% confidence interval, 0.65-0.86). Adulthood disadvantage was associated with higher odds of meeting the guidelines with occupational physical activity (odds ratio = 1.94; 95% confidence interval, 1.49-2.53). Importantly, while meeting the guidelines with leisure-time physical activity was associated with lower odds of prediabetes and diabetes, we found no evidence for associations among occupational physical activity, household physical activity, and glucoregulation.ConclusionCurrent US physical activity guidelines do not differentiate between physical activity for leisure or work, assuming that physical activity in any domain confers comparable health benefits. We documented important differences in the associations among lifetime socioeconomic disadvantage, physical activity domain, and diabetes, suggesting that physical activity domain potentially belongs in the guidelines, similar to other characteristics of activity (eg, type, intensity).

Guided by the stress process model and the life course perspective, we hypothesize: (1) that childhood abuse is concentrated, in terms of type and intensity, among socially disadvantaged individuals, and (2) that experiencing serious abuse contributes to poor biological profiles in multiple body systems in adulthood. Data came from the Biomarker subsample of Midlife in the United States (2004-2006). We used latent class analysis to identify distinct profiles of childhood abuse, each reflecting a combination of type and severity. Results indicate that disadvantaged groups, women, and those from disadvantaged families are at greater risk of experiencing more severe and multiple types of abuse. Those with more severe and multifaceted childhood abuse show greater physiological dysregulation. Childhood abuse experiences partially accounted for the social status differences in physiological profiles. Our findings underscore that differential exposure to serious childhood stressors plays a significant role in gender and class inequalities in adult health.

Using five waves of the Taiwanese Longitudinal Study of Aging (1996-2011), we investigate (1) the association between family members' education and the age trajectories of individuals' depressive symptoms and (2) gender differences in those relationships. Our examination is guided by several theoretical frameworks, including social capital, social control, age as leveler, and resource substitution. Nested models show that having a more educated father is associated with lower depressive symptoms, but the relationship disappears after controlling for respondent's education. Including spouse's education attenuates the coefficient for respondent's education. A similar pattern appears when children's education is added to the model. Among all the family members, children's education has the strongest association with depressive symptoms, with a similar magnitude for both genders, although its strength gradually weakens as respondents age. Our findings suggest the importance of the transfer of resources from children to parents and how it may affect mental health at older ages.

Drawing on conceptual models of critical periods, major life transitions, and life pathways, we proposed that the life-course features of parenthood are important, but understudied, mechanisms for explaining possibly gendered heart-health outcomes. Using three waves from the Midlife in the U.S. Study (MIDUS), we investigated (a) gender differences in the timing of the transition to parenthood as a pathway linking childhood SES disadvantage to onset of heart problems and (b) life-course factors (which vary by gender) that link the timing of the transition to parenthood to adult heart problems. We found that individuals who were disadvantaged in childhood were more likely to have their first child as teenagers or in early young adulthood. For women only, an early transition to parenthood partially explained the association between childhood disadvantage and onset of heart problems. Furthermore, women who had their first child at younger ages, particularly in their teens, had lower rates of college graduation, more financial difficulties, higher levels of depressive symptoms, and greater risk of smoking and obesity in midlife. These factors partially accounted for the association between early parenthood and onset of heart problems in later life. Our findings underscore the significance of the timing of the transition to parenthood in specifying the associations between childhood disadvantage and adult heart problems. Various factors are involved, including low adult SES, psychological distress, and unhealthy lifestyles.

ObjectiveThe death or illness of a spouse negatively affects a partner's health, but little is known about the effect on blood glucose (glycemic) levels. This study investigates the extent to which a spouse's declining health or death is associated with changes in the glycemic levels of older adults.MethodData come from a nationally representative longitudinal sample of 597 Taiwanese (aged 54 to 90). We use changes in spousal health and death of a spouse to predict changes in glycosylated hemoglobin (HbA1c) levels over a 6-year period.ResultsA decline in spousal health is associated with increased HbA1c levels for women, but not for men. The death of a healthy spouse is associated with increased HbA1c levels for both genders.DiscussionStressful life transitions may compromise the glycemic levels of older adults. Taking on a caregiving role may erode some of the benefits of marriage and interfere with women's maintenance of their own health.

The long-term effects of childhood trauma on health are well-documented, but few population-based studies have explored how childhood trauma affects the risk of developing metabolic syndrome (MetS) in adulthood. Using data from 1234 adults in the second wave of Midlife in the United States (MIDUS), we investigate (1) the extent to which childhood abuse affects the risk of developing MetS in adulthood; (2) how the severity of different types of abuse (emotional, physical, sexual, or cumulative abuse) affects this risk; and (3) the extent to which adult socioeconomic status (SES), maladaptive stress responses, and unhealthy behaviors mediate the association. We also test whether these associations differ significantly by sex. We find that emotional and physical abuse increase the risk of developing MetS for both sexes, whereas sexual abuse is a predictor for women only. For both sexes, individuals who experienced more cumulative abuse have a greater risk of developing MetS. Adult SES partially explains the association between childhood abuse and MetS. Maladaptive stress responses and unhealthy behaviors further explain the association. Among the potential mediators, poor sleep quality was a significant pathway for men and women, while stress-induced eating was a significant pathway for women only. Our findings suggest that the well-documented health consequences of early life trauma may vary by the nature of the trauma, the victim's sex, and the coping mechanisms that he or she employs.

The death of a child is one of the most traumatic events that a parent can experience. The psychological and physical consequences of bereavement are well established, and the consequences are more severe for mothers than fathers. However, little is known about how the death of an adult child affects parental wellbeing in old age or how the deceased child's sex may moderate the association. We use data from the Taiwanese Longitudinal Study of Aging (TLSA) to investigate how the death of a son or a daughter differentially affects the wellbeing of older parents, measured by depressive symptoms and self-rated health. We find that for mothers, a son's death is associated with an increase in depressive symptoms and a decline in self-rated health, but fathers' health is not adversely affected by a son's death. There is little evidence that a daughter's death has a negative effect on either maternal or paternal wellbeing. We situate these findings within their social and cultural contexts and discuss social policies that would reduce gender and health inequality.

BackgroundUtilization of specialty care may not be a discrete, isolated behavior but rather, a behavior of sequential movements within the health care system. Although patients may often visit their primary care physician and receive a referral before utilizing specialty care, prior studies have underestimated the importance of accounting for these sequential movements.MethodsThe sample included 6,772 adults aged 18 years and older who participated in the 2001 Survey on Disparities in Quality of Care, sponsored by the Commonwealth Fund. A sequential logit model was used to account for movement in all stages of utilization: use of any health services (i.e., first stage), having a perceived need for specialty care (i.e., second stage), and utilization of specialty care (i.e., third stage). In the sequential logit model, all stages are nested within the previous stage.ResultsGender, race/ethnicity, education and poor health had significant explanatory effects with regard to use of any health services and having a perceived need for specialty care, however racial/ethnic, gender, and educational disparities were not present in utilization of specialty care. After controlling for use of any health services and having a perceived need for specialty care, inability to pay for specialty care via income (AOR = 1.334, CI = 1.10 to 1.62) or health insurance (unstable insurance: AOR = 0.26, CI = 0.14 to 0.48; no insurance: AOR = 0.12, CI = 0.07 to 0.20) were significant barriers to utilization of specialty care.ConclusionsUse of a sequential logit model to examine utilization of specialty care resulted in a detailed representation of utilization behaviors and patient characteristics that impact these behaviors at all stages within the health care system. After controlling for sequential movements within the health care system, the biggest barrier to utilizing specialty care is the inability to pay, while racial, gender, and educational disparities diminish to non-significance. Findings from this study represent how Americans use the health care system and more precisely reveals the disparities and inequalities in the U.S. health care system.

BackgroundUtilization of specialty care may not be a discrete, isolated behavior but rather, a behavior of sequential movements within the health care system. Although patients may often visit their primary care physician and receive a referral before utilizing specialty care, prior studies have underestimated the importance of accounting for these sequential movements.MethodsThe sample included 6,772 adults aged 18 years and older who participated in the 2001 Survey on Disparities in Quality of Care, sponsored by the Commonwealth Fund. A sequential logit model was used to account for movement in all stages of utilization: use of any health services (i.e., first stage), having a perceived need for specialty care (i.e., second stage), and utilization of specialty care (i.e., third stage). In the sequential logit model, all stages are nested within the previous stage.ResultsGender, race/ethnicity, education and poor health had significant explanatory effects with regard to use of any health services and having a perceived need for specialty care, however racial/ethnic, gender, and educational disparities were not present in utilization of specialty care. After controlling for use of any health services and having a perceived need for specialty care, inability to pay for specialty care via income (AOR = 1.334, CI = 1.10 to 1.62) or health insurance (unstable insurance: AOR = 0.26, CI = 0.14 to 0.48; no insurance: AOR = 0.12, CI = 0.07 to 0.20) were significant barriers to utilization of specialty care.ConclusionsUse of a sequential logit model to examine utilization of specialty care resulted in a detailed representation of utilization behaviors and patient characteristics that impact these behaviors at all stages within the health care system. After controlling for sequential movements within the health care system, the biggest barrier to utilizing specialty care is the inability to pay, while racial, gender, and educational disparities diminish to non-significance. Findings from this study represent how Americans use the health care system and more precisely reveals the disparities and inequalities in the U.S. health care system.