Differences In Life Expectancy Due To Race And Educational Differences Are Widening, And Many May Not Catch Up

Adolescents' academic performance: what helps them and what hinders them from achievement and success?

Introduction

Research on adolescents' academic performance has mostly focused on the contribution of objective factors, such as socioeconomic situation of the family or individual cognitive skills and school results. Evidence with a focus on adolescents' subjective experiences is scarce. The aim of this qualitative study was to explore factors related to adolescents' academic performance from their perspectives.

Methods

We used data from 11 group semi-structured interviews conducted in 2020/2021 with 45 adolescents in the first year of high school in Slovakia (mean age = 14.98; 22.2% boys). Participants were selected from three types of high school with regards to the graduation system. We analysed the data using consensual qualitative research and thematic analysis.

Results

Based on the statements of the adolescents, we identified five main themes of factors that affect their academic performance. Adolescents reported that the following contribute to their academic performance: the contents and methods of teaching; how teachers behave and do their jobs; the way in which adolescents study and what motivates them; support within and outside the school, and the environment and appearance of the school. Adolescents reported that improving the curricula and using teaching methods that balance theoretical information with practical skills training would help their academic performance immensely.

Conclusion

We identified several factors related to adolescents' academic performance using their own perspectives and experiences. Strengthening the capacities of teachers may largely benefit adolescents' educational process and further academic performance.

Is the relationship between chronic pain and mortality causal? A propensity score analysis

ABSTRACT

Chronic pain is a serious and prevalent condition that can affect many facets of life. However, uncertainty remains regarding the strength of the association between chronic pain and death and whether the association is causal. We investigate the pain-mortality relationship using data from 19,971 participants aged 51+ years in the 1998 wave of the U.S. Health and Retirement Study. Propensity score matching and inverse probability weighting are combined with Cox proportional hazards models to investigate whether exposure to chronic pain (moderate or severe) has a causal effect on mortality over a 20-year follow-up period. Hazard ratios (HRs) with 95% confidence intervals (CIs) are reported. Before adjusting for confounding, we find a strong association between chronic pain and mortality (HR: 1.32, 95% CI: 1.26-1.38). After adjusting for confounding by sociodemographic and health variables using a range of propensity score methods, the estimated increase in mortality hazard caused by pain is more modest (5%-9%) and the results are often also compatible with no causal effect (95% CIs for HRs narrowly contain 1.0). This attenuation highlights the role of confounders of the pain-mortality relationship as potentially modifiable upstream risk factors for mortality. Posing the depressive symptoms variable as a mediator rather than a confounder of the pain-mortality relationship resulted in stronger evidence of a modest causal effect of pain on mortality (eg, HR: 1.08, 95% CI: 1.01-1.15). Future work is required to model exposure-confounder feedback loops and investigate the potentially cumulative causal effect of chronic pain at multiple time points on mortality.

A growing divide: Trends in social inequalities in healthy longevity in Australia, 2001-20

This study examines two decades of change in social inequalities in life and health expectancy among older adults in Australia, one of the few countries that escaped an economic recession during the global financial crisis. We compare adults aged 45+ across three measures of individual socio-economic position-education, occupation, and household wealth-and use multistate life tables to estimate total life expectancy (TLE) and life expectancy free of limiting long-term illness (LLTI-free LE) based on 20 waves of the Household, Income and Labour Dynamics in Australia Survey (2001-20). Our findings highlight substantial social disparities in both TLE and LLTI-free LE in Australia. Grouping individuals by household wealth shows striking differentials in LLTI-free LE. We observe widening social disparities in healthy longevity over time by all three measures of socio-economic position. This diverging trend in healthy longevity is troubling against the backdrop of widening income and wealth inequalities in Australia.

Trends in socioeconomic inequalities in life expectancy and lifespan variation in Chile

Background

Socioeconomic disparities in life expectancy are well-documented in various contexts, including Chile. However, there is a lack of research examining trends in life expectancy inequalities and lifespan variation over time. Addressing these gaps can provide crucial insights into the dynamics of health inequalities.

Methods

This study utilizes data from census records, population surveys, and death certificates to compare the life expectancy and the lifespan variation at age 26 of individuals according to their rank in the distribution of years of education within their own birth cohort. The analysis spans three periods (1991, 2002, and 2017) and focuses on two educational groups: individuals in the first (lowest) quintile and tenth (highest) decile of educational attainment. Changes in life expectancy are disaggregated by major causes of death to elucidate their contributions to overall trends.

Results

Consistent with existing literature, our findings confirm that individuals with lower education levels experience lower life expectancy and higher lifespan variation compared to their more educated counterparts. Notably, by 2017, life expectancy for individuals in the lowest quintile of education has caught up with that of the top decile in 1991, albeit with contrasting trends between genders. Among women, the gap has reduced, while it has increased for males. Moreover, lifespan variation decreased (increased) over time for individuals in the tenth decile (first quintile). The leading causes of death that explain the increase in life expectancy in women and men in the tenth decile as well as women in the first quintile are cardiovascular, cancer, respiratory and digestive diseases. In the case of males in the first quintile, few gains have been made in life expectancy resulting from cancer and a negative contribution is associated with digestive conditions.

Conclusions

This study underscores persistent socioeconomic disparities in life expectancy in Chile, emphasizing the importance of ongoing monitoring of health inequalities across different demographic segments. The gender-specific and educational gradient trends highlight areas for targeted interventions aimed at reducing health disparities and improving overall population health outcomes. Further research is warranted to delve into specific causes of death driving life expectancy differentials and to inform evidence-based policy interventions.

Disparities in High School Graduation by Identity and Disability Using Intermediate and Long-Term Educational Outcomes

Multiple factors influence a student's success in high school graduation. Individual factors such as disability, racial or ethnic identity, and gender may result in inequity in the school environment, interfering with learning and possibly leading to poorer educational outcomes. This secondary analysis of student educational records (N = 3,782) from 2008-2018 tested the associations among the disability, racial or ethnic identity, gender, and 5th grade attendance on high school attendance and graduation. Linear and logistic regression analysis identified students without a disability had a 40% greater chance of graduation (AOR = 1.4 [95% CI = 1.15, 1.71]) than those with a disability. Students identifying as Black, Hispanic, or Native American had half the odds of graduating compared to White students. When controlling for 9th grade attendance, these disparities decreased. Attendance in 5th grade, disability, and racial and ethnic identity influenced attendance, being on track to graduate, and high school graduation.

Emerging health disparities among college graduates: Understanding the health consequences of education-occupation mismatch

This study examines the health consequences and underlying pathways of education-occupation mismatch. Using a longitudinal sample of college graduates from the Panel Studies of Income Dynamics (1984-2019) and employing longitudinal hybrid models, we found that contemporary vertical mismatch (between education level and educational requirements of occupation) was associated with poorer psychological well-being and bio-behaviors (obesity and smoking), but not physical health. In contrast, horizontal mismatch (between field of study and field required for occupation) did not show clear health consequences. Sequence analysis was employed to uncover the mismatch trajectories and revealed that persistent vertical mismatch over one's career had a greater impact on psychological distress and smoking than episodic mismatch experiences. Furthermore, the linkage between vertical mismatch and health outcomes was likely shaped by psychosocial processes rather than reduced material well-being. These findings imply that education-occupation vertical (mis)match produces health disparities between occupationally matched and mismatched college graduates.

Intrinsic capacity trajectories and socioeconomic inequalities in health: the contributions of wealth, education, gender, and ethnicity

BACKGROUND

Life-long health inequalities exert enduring impacts and are governed by social determinants crucial for achieving healthy aging. A fundamental aspect of healthy aging, intrinsic capacity, is the primary focus of this study. Our objective is to evaluate the social inequalities connected with the trajectories of intrinsic capacity, shedding light on the impacts of socioeconomic position, gender, and ethnicity.

METHODS

Our dynamic cohort study was rooted in three waves (2009, 2014, 2017) of the World Health Organization's Study on Global AGEing and Adult Health in Mexico. We incorporated a nationally representative sample comprising 2722 older Mexican adults aged 50 years and over. Baseline measurements of socioeconomic position, gender, and ethnicity acted as the exposure variables. We evaluated intrinsic capacity across five domains: cognition, psychological, sensory, vitality, and locomotion. The Relative Index of Inequality and Slope Index of Inequality were used to quantify socioeconomic disparities.

RESULTS

We discerned three distinct intrinsic capacity trajectories: steep decline, moderate decline, and slight increase. Significant disparities based on wealth, educational level, gender, and ethnicity were observed. Older adults with higher wealth and education typically exhibited a trajectory of moderate decrease or slight increase in intrinsic capacity. In stark contrast, women and indigenous individuals were more likely to experience a steeply declining trajectory.

CONCLUSIONS

These findings underscore the pressing need to address social determinants, minimize gender and ethnic discrimination to ensure equal access to resources and opportunities across the lifespan. It is imperative for policies and interventions to prioritize these social determinants in order to promote healthy aging and alleviate health disparities. This approach will ensure that specific demographic groups receive customized support to sustain their intrinsic capacity during their elder years.

Reevaluating the "deaths of despair" narrative: Racial/ethnic heterogeneity in the trend of psychological distress-related death

Despite the significant scientific advancement in deciphering the "deaths of despair" narrative, most relevant studies have focused on drug-, alcohol-, and suicide-related (DAS) deaths. This study directly investigated despair as a determinant of death and the temporal variation and racial heterogeneity among individuals. We used psychological distress (PD) as a proxy for despair and drew data from the US National Health Interview Survey-Linked Mortality Files 1997 to 2014, CDC (Centers for Disease Control and Prevention) Multiple Cause of Death database 1997 to 2014, CDC bridged-race population files 1997 to 2014, Current Population Survey 1997 to 1999, and the American Community Survey 2000 to 2014. We used Cox proportional hazards models to estimate mortality hazard ratios of PD and compared age-standardized PD- and DAS-related mortality rates by race/ethnicity and over time. We found that while Whites had a lower prevalence of PD than Blacks and Hispanics throughout the whole period, they underwent distinctive increases in PD-related death and have had a higher PD-related mortality rate than Blacks and Hispanics since the early 2000s. This was predominantly due to Whites' relatively high and increasing vulnerability to PD less the prevalence of PD. Furthermore, PD induced a more pervasive mortality consequence than DAS combined for Whites and Blacks. In addition, PD- and DAS-related deaths displayed a concordant trend among Whites but divergent patterns for Blacks and Hispanics. These findings suggest that 1) DAS-related deaths underestimated the mortality consequence of despair for Whites and Blacks but overestimated it for Hispanics; and 2) despair partially contributed to the DAS trend among Whites but probably not for Blacks and Hispanics.

Educational Attainment and Lifetime Risk of Cardiovascular Disease

Importance

Education is a social determinant of health. Quantifying its association with lifetime cardiovascular disease (CVD) risk has public health importance.

Objective

To calculate lifetime risk estimates of incident CVD and CVD subtypes and estimate years lived with and without CVD by education.

Design, Setting, and Participants

Included community-based cohort studies with adjudicated cardiovascular events used pooled individual-level data from 1985 to 2015 of 6 prospective cohort studies. The study team assessed the association between education and lifetime CVD risk with modified Kaplan-Meier and Cox models accounting for competing risk of noncardiovascular death. The study team estimated years lived with and without CVD by education with the Irwin restricted mean and the utility of adding educational attainment to CVD risk assessment. Participants (baseline 40 to 59 years old and 60 to 79 years old) were without CVD at baseline and had complete education, cardiovascular risk factors, and prospective CVD outcomes data. Data were analyzed from January 2022 to September 2022.

Exposures

Educational attainment (less than high school, high school completion, some college, or college graduate).

Main outcome and measures

Cardiovascular events (fatal and nonfatal coronary heart disease, heart failure, and stroke; CVD-related deaths; and total CVD encompassing any of these events).

Results

There were 40 998 participants (23 305 female [56.2%]) with a mean (SD) age of 58.1 (9.7) years for males and 58.3 (9.9) years for females. Compared with college graduates, those with less than high school or high school completion had higher lifetime CVD risks. Among middle-aged men, the competing hazard ratios (HRs) for a CVD event were 1.58 (95% CI, 1.38-1.80), 1.30 (95% CI, 1.10-1.46), and 1.16 (95% CI, 1.00-1.34) in those with less than high school, high school, and some college, respectively, compared with those with college completion. Among women, these competing HRs were 1.70 (95% CI, 1.49-1.95), 1.19 (95% CI, 1.05-1.35), and 0.98 (95% CI, 0.83-1.15). Individuals with higher education had longer duration of life prior to incident CVD. Education provided limited contribution toward enhancing CVD risk prediction.

Conclusions and relevance

Lower education was associated with lifetime CVD risk across adulthood; higher education translated to healthy longevity. Educational policy initiatives may associate with long-term health benefits.

Mortality inequality, spatial differences and health care access

Although Australia maintains relatively high standards of health and healthcare, there exists disparity in health outcomes and longevity among different segments of the population. Internationally, there is growing evidence that life expectancy gains are not being shared equally among the rich and the poor. In this paper we examine the evolution of mortality inequality in Australia between 2001 and 2018. Using a spatial inequality model and combining data from several administrative data sources, we document significant mortality inequality between the rich and the poor in Australia. For most age groups, mortality inequality has remained unchanged over the last 20 years. However, mortality inequality is increasing for middle-aged men and women. In part, this can be explained by improvements in longevity which favor urban over rural Australians. Another contributing factor we identify is differential access to healthcare in rich and poor regions. Although Australia's socioeconomic gradient of mortality is flatter than in the US, due to universal health coverage, the fact that mortality inequality is increasing for some groups accentuates the importance of safeguarding health care accessibility.

Racial and Ethnic Discrimination and Hypertension by Educational Attainment Among a Cohort of US Women

Importance

Although understudied, there are likely within-group differences among minoritized racial and ethnic groups in associations between racial and ethnic discrimination (RED) and hypertension risk, as minoritized individuals with higher educational attainment may more frequently encounter stress-inducing environments (eg, professional workplace settings, higher-income stores and neighborhoods) characterized by, for instance, exclusion and antagonism.

Objectives

To investigate educational attainment as a potential effect modifier of associations between RED and hypertension risk among US women; the study hypothesis was that the magnitude of associations would be stronger among participants with higher vs lower educational attainment.

Design, Setting, and Participants

This is a nested case-control study using Sister Study data collected at enrollment (2003-2009) and over follow-up visits until September 2019. Among eligible US Black or African American (hereafter Black), Latina, and non-Hispanic White women without prior hypertension diagnoses, incidence density sampling was performed to select self-reported hypertension cases that developed over a mean (SD) follow-up 11 (3) years. Data were analyzed August 2022 to February 2023.

Exposures

Participants reported lifetime everyday (eg, unfair treatment at a business) and major (eg, mistreatment by police) RED via a self-administered questionnaire.

Main Outcome and Measures

Adjusting for sociodemographic characteristics, conditional logistic regression was used to estimate odds ratios (ORs) and 95% CIs for associations between RED and hypertension by educational attainment category at baseline (college or higher, some college, and high school or less) within racial and ethnic groups.

Results

Among 5179 cases (338 [6.5%] Black; 200 [3.9%] Latina; and 4641 [89.6%] non-Hispanic White) and 10:1 race and ethnicity- and age-matched control participants with a mean (SD) age of 55 (9) years at enrollment, half (49.9%) of women reported attaining college or higher education, and Black women with college or greater education had the highest burden of RED (eg, 83% of case participants with college or higher education reported everyday RED compared with 64% of case participants with high school or less education). Everyday RED was associated with higher hypertension risk among Black women with college or higher education (OR, 1.56 [95% CI, 1.06-2.29]) but not among Black women with some college (OR, 0.72 [95% CI, 0.47-1.11]), with evidence of both multiplicative and additive interaction. Results for Black women with high school or less education suggested increased risk, but confidence intervals were wide, and the result was not statistically significant but may be clinically significant (OR, 1.89 [95% CI, 0.83-4.31]). Educational attainment was not a modifier among other racial and ethnic groups or for associations with major RED.

Conclusions and Relevance

In this nested case-control study of RED and hypertension risk, chronic or everyday RED-associated hypertension disproportionately affected Black women with the highest levels of educational attainment.

Causes of Death Among Health Care Professionals in the United States

Specific causes of mortality among various types of health care professionals (HCPs), including those characterized by age, gender, and race, have not been well described. The National Occupational Mortality Surveillance data for deaths in 26 US states in 1999, 2003-2004, and 2007-2014 were queried to address this question. Proportionate mortality ratios (PMRs) were calculated to compare specific causes of mortality among HCPs compared with those among the general population. HCPs were less likely to die from heart disease (PMR 93, 95% confidence intervals [CI] 92-94), alcoholism (PMR 62, 95% CI 57-68), drugs (PMR 80, 95% CI 70-90), and more likely to die from cerebrovascular disease (PMR 105, 95% CI 104-107) and diabetes (PMR 107, 95% CI 105-109). HCPs aged 18-64 years were more likely to die by suicide (PMR 104, 95% CI 101-107), whereas those aged 65-90 years were less likely to die by suicide (PMR 84, 95% CI 77-91), with physicians (PMR 251, 95% CI 229-275) and other HCPs having high PMR for suicide. Among all HCPs, suicide PMR was similarly increased, whereas heart disease PMRs are similarly decreased among Black compared with those among White HCPs and those among male compared with those among female HCPs. HCPs as a group and specific types of HCPs demonstrate causes of mortality that differ in important ways from the general population. Race and gender-based trends in PMRs for key causes of mortality among HCPs suggest that employment in a health care field may not alter race and gender disparities noted among the general population.

Geographic variation in diabetic retinopathy screening within the Veterans Health Administration

AIMS

Diabetic retinopathy (DR) remains the leading cause of vision impairment among working-age adults in the United States. The Veterans Health Administration (VA) supplemented its DR screening efforts with teleretinal imaging in 2006. Despite its scale and longevity, no national data on the VA's screening program exists since 1998. Our objective was to determine the influence of geography on diabetic retinopathy screening adherence.

METHODS

Setting: VA national electronic medical records.

STUDY POPULATION

A national cohort of 940,654 veterans with diabetes (defined as two or more diabetes ICD-9 codes (250.xx)) without a history of DR.

EXPOSURES

125 VA Medical Center catchment areas, demographics, comorbidity burden, mean HbA1c levels, medication use and adherence, as well as utilization and access metrics.

MAIN OUTCOME MEASURE

Screening for diabetic retinopathy within the VA medical system within a 2-year period.

RESULTS

Within a 2-year time frame 74 % of veterans without a history of DR received retinal screenings within the VA system. After adjustment for age, gender, race-ethnic group, service-connected disability, marital status, and the van Walraven Elixhauser comorbidity score, the prevalence of DR screening varied by VA catchment area with values ranging from 27 % to 86 %. These differences persisted after further adjusting for mean HbA1c level, medication use and adherence as well as utilization and access metrics.

CONCLUSIONS

The wide variability in DR screening across 125 VA catchment areas indicates the presence of unmeasured determinants of DR screening. These results are relevant to clinical decision making in DR screening resource allocation.

Changes in longevity inequality by education among OECD countries before the COVID-19 pandemic

BACKGROUND

Disparities in life expectancy between socioeconomic groups are one of the main challenges for health policy, and their reduction over time is an important policy objective.

METHODS

Observational study using routinely registered data on mortality around 2011 and 2016 by sex, age, educational attainment level, and cause of death in 13 member countries of the Organization for Economic Cooperation and Development (OECD). The main outcome measures are life expectancy by education at the ages of 25 and 65 in 2011 and 2016.

RESULTS

Between 2011 and 2016, the life expectancy gap has increased by 0·2 years among men and 0·3 years among women from 13 available countries. The United States recorded one the largest increases in the absolute life expectancy gap, 1·3 years for women and 1·1 years for men respectively.

CONCLUSION

Inequality in longevity has increased in over half of the countries surveyed and starkly so in the United States in a context of deteriorating health.

TRIAL REGISTRATION

Not applicable.

Social networks, social support, and life expectancy in older adults: the Cardiovascular Health Study

BACKGROUND

Social support and social networks have long been postulated to impact health outcomes but their impact on life expectancy and disability in older adults remains poorly quantified.

METHODS

As part of the Cardiovascular Health Study, we followed 5,749 adults aged 65 years and older from 4 US field centers for 25 years. We assessed the Lubben social network score [range 0-50] and a social support score [range 0-24] derived from the Interpersonal Support Evaluation List (ISEL-12) in two consecutive years starting at study recruitment. We used remaining years of life (YOL) from study enrollment to death to approximate life expectancy. We defined years of active life (YAL) as the number of study years in which participants lived without any difficulties in activities of daily living. We used compression of disability to reflect the proportion of life lived able (YAL/YOL). We used linear regression to adjust for socio-demographics and comorbidity.

RESULTS

The mean (standard deviation [SD]) scores were 32.3 ± 6.8 points for social network score and 8.3 ± 2.4 points for social support score. For every 1-SD increase in social network score, adjusted participant life expectancy was 0.40 years higher (95% CI 0.22-0.58; p<0.0001) and disability-free life expectancy 0.35 years higher (95% CI 0.18-0.53; p<0.0001). The association with life expectancy was modified by participant age (p<0.001), but it remained significant even among participants aged ≥75 years (3 months per SD; 95% CI 0.1-6 months, p = 0.04). Further adjustment for frailty did not attenuate the estimates. The social support scale was not significantly associated with YOL or YAL after adjustment for social network score, and neither measure was associated with compression of disability.

DISCUSSION

In older adults, higher social network scores are significantly associated with longer life expectancy and disability-free life expectancy.

Unmet Social Health Needs as a Driver of Inequitable Outcomes After Surgery: A Cross-sectional Analysis of the National Health Interview Survey

OBJECTIVE

This study aims to identify opportunities to improve surgical equity by evaluating unmet social health needs by race, ethnicity, and insurance type.

BACKGROUND

Although inequities in surgical care and outcomes based on race, ethnicity, and insurance have been well documented for decades, underlying drivers remain poorly understood.

METHODS

We used the 2008-2018 National Health Interview Survey to identify adults age 18 years and older who reported surgery in the past year. Outcomes included poor health status (self-reported), socioeconomic status (income, education, employment), and unmet social health needs (food, housing, transportation). We used logistic regression models to progressively adjust for the impact of patient demographics, socioeconomic status, and unmet social health needs on health status.

RESULTS

Among a weighted sample of 14,471,501 surgical patients, 30% reported at least 1 unmet social health need. Compared with non-Hispanic White patients, non-Hispanic Black, and Hispanic patients reported higher rates of unmet social health needs. Compared with private insurance, those with Medicaid or no insurance reported higher rates of unmet social health needs. In fully adjusted models, poor health status was independently associated with unmet social health needs: food insecurity [adjusted odds ratio (aOR)=2.14; 95% confidence interval (CI): 1.89-2.41], housing instability (aOR=1.69; 95% CI: 1.51-1.89), delayed care due to lack of transportation (aOR=2.58; 95% CI: 2.02-3.31).

CONCLUSIONS

Unmet social health needs vary significantly by race, ethnicity, and insurance, and are independently associated with poor health among surgical populations. As providers and policymakers prioritize improving surgical equity, unmet social health needs are potential modifiable targets.

Can Early Disadvantage Be Overcome? A Life Course Approach to Understanding How Disadvantage, Education, and Social Integration Impact Mortality into Middle Adulthood Among a Black American Cohort

Health equity research has identified fundamental social causes of health, many of which disproportionately affect Black Americans, such as early life socioeconomic conditions, neighborhood disadvantage, and racial discrimination. However, the role of life course factors in premature mortality among Black Americans has not been tested extensively in prospective samples into later adulthood. To better understand how social factors at various life stages impact mortality, this study examines the effect of life course poverty, neighborhood disadvantage, and discrimination on mortality and factors that may buffer their effect (i.e., education, social integration) among the Woodlawn cohort (N = 1242), a community cohort of urban Black Americans followed since 1966. Taking a life course perspective, we analyze mortality data for deaths through age 58 years old, as well as data collected at ages 6, 16, 32, and 42. At age 58, 204 (16.4%) of the original cohort have died, with ages of death ranging from 9 to 58.98 (mean = 42.9). Cox proportional hazard models adjusting for confounders show statistically significant differences in mortality risk based on timing and persistence of poverty; those who were never poor or poor only in early life had lower mortality risk at ages 43-58 than those who were persistently poor from childhood to adulthood. Education beyond high school and high social integration were shown to reduce the risk of mortality more for those who did not experience poverty early in their life course. Findings have implications for the timing and content of mortality prevention efforts that span the full life course.

Does diet and activity lead to difference in resting energy expenditure in obese women?

BACKGROUND

Obesity is considered as a risk factor for metabolic and chronic diseases. Reduction in resting energy expenditure (REE) may increase risk of obesity. Our study was carried out to investigate dietary, biochemical, anthropometric and body composition parameters and physical activity in obese women with normal and low resting energy expenditure.

METHODS

A total forty nine subjects (women, 30-50 years old) were enrolled and divided into three groups. Anthropometric, body composition parameters, resting energy expenditure, Fasting blood lipid profile, dietary intake and physical activity were measured.

RESULTS

Although, fat mass and fat-free mass were significantly increased in obese groups, there was no significant difference in body composition between two obese groups (p-value = 0.10, 0.27). Measured resting energy expenditure was significantly decreased in obese with low REE compare to other groups (p-value < 0.001). There was no significant difference in energy intake and macronutrients between groups. There was a significant difference in T3 between obese subjects with low REE compared to obese group with normal REE (p-value < 0.001). There was no significant difference in lipid profile between two obese groups. Also there was a significant difference in LDL, cholesterol and triacylglycerol between obese subjects with low REE compared to normal weight group. Moreover, there was a significant difference in cholesterol and triacylglycerol between obese subjects with normal REE compared to normal weight group. Our finding showed there was no significant difference in physical activity between three groups.

CONCLUSIONS

Dietary intake and physical activity may relate to metabolism and energy expenditure. It is interesting that in some obese people resting energy expenditure was much lower compared to other obese people; however, there was no significant difference in their body composition, age, sex, dietary intake, lipid profile and physical activity. Thus it should investigate the role of other factors involved in different REE in subjects with obesity.

Structural Inequities in the Kin Safety Net: Mapping the Three-Generational Network throughout Early Adulthood1

Research in the intergenerational transmission of socioeconomic status (SES) consistently shows that the SES of one generation benefits the next. Demographic processes shape the kin structures that serve as conduits for the transmission of SES. Few studies have examined these trends together to describe experiences in evolving kin structures throughout the life course and across generations. This article applies demographic techniques to fertility, marital, and mortality data from three generations in the Panel Survey of Income Dynamics to simulate the amount of time young adults would spend within consequential kin structures. High-SES adults spend more years of their young adulthood in advantageous kin structures with greater potential for kin support and capital accumulation, while low-SES adults spend a larger portion of their young adulthoods as single parents, sandwiched between widowed parents and children, and as adult orphans. The kin network inequities have grown since the 1980s, driven by lagging mortality improvements and increasing single parenthood among low-SES families.

ADHD genetic burden associates with older epigenetic age: mediating roles of education, behavioral and sociodemographic factors among older adults

BACKGROUND

Shortened lifespans are associated with having Attention Deficit Hyperactivity Disorder (ADHD), which is likely mediated by related behavioral and sociodemographic factors that are also associated with accelerated physiological aging. Such factors include exhibiting more depressive symptoms, more cigarette smoking, higher body mass index, lower educational attainment, lower income in adulthood, and more challenges with cognitive processes compared to the general population. A higher polygenic score for ADHD (ADHD-PGS) is associated with having more characteristic features of ADHD. The degree to which (1) the ADHD-PGS associates with an epigenetic biomarker developed to predict accelerated aging and earlier mortality is unknown, as are whether (2) an association would be mediated by behavioral and sociodemographic correlates of ADHD, or (3) an association would be mediated first by educational attainment, then by behavioral and sociodemographic correlates. We evaluated these relationships in a population-based sample from the US Health and Retirement Study, among N = 2311 adults age 50 and older, of European-ancestry, with blood-based epigenetic and genetic data. The ADHD-PGS was calculated from a prior genomewide meta-analysis. Epigenome-wide DNA methylation levels that index biological aging and earlier age of mortality were quantified by a blood-based biomarker called GrimAge. We used a structural equation modeling approach to test associations with single and multi-mediation effects of behavioral and contextual indicators on GrimAge, adjusted for covariates.

RESULTS

The ADHD-PGS was significantly and directly associated with GrimAge when adjusting for covariates. In single mediation models, the effect of the ADHD-PGS on GrimAge was partially mediated via smoking, depressive symptoms, and education. In multi-mediation models, the effect of the ADHD-PGS on GrimAge was mediated first through education, then smoking, depressive symptoms, BMI, and income.

CONCLUSIONS

Findings have implications for geroscience research in elucidating lifecourse pathways through which ADHD genetic burden and symptoms can alter risks for accelerated aging and shortened lifespans, when indexed by an epigenetic biomarker. More education appears to play a central role in attenuating negative effects on epigenetic aging from behavioral and sociodemographic risk factors related to ADHD. We discuss implications for the potential behavioral and sociodemographic mediators that may attenuate negative biological system effects.

The role of physical and cognitive/emotional functioning in the associations between common health conditions and working

The degree to which functional abilities explain the negative associations between chronic disease and employment is not well understood. If functional limitations play an important role, then increasing access to accommodations and rehabilitation could facilitate employment among people with chronic illness. If not, other barriers related to living with chronic illness may be at play, calling for other interventions. The goal of this study was to 1) assess how health conditions were associated with employment for adults ages 30-69, and 2) test how much of these illness-employment associations was explained by physical and cognitive/emotional functioning. We fielded the state-of-the-art Work Disability Functional Assessment Battery (WD-FAB) in the nationally-representative RAND American Life Panel (N = 1774) in 2020, stratifying the sample by age and educational attainment. We found that mental health conditions, nervous system/sensory conditions, and cardiovascular conditions were significantly associated with large reductions in the probability of working, at -8, -10, and -19 percentage points (pp) respectively, while there were no significant associations for other conditions. Functional abilities were positively associated with employment to different degrees depending on education. Among those without college degrees, physical functioning (+16 pp) but not cognitive/emotional functioning was significantly associated with working. Among those with college degrees, both physical (+6 pp) and cognitive/emotional (+4 pp) functioning were associated with working. Older workers (ages 51-69) showed a larger association between physical functioning and work with no association between cognitive/emotional functioning and work. Importantly, accounting for functioning reduced the negative associations with employment for mental health and nervous system/sensory conditions but not for cardiovascular conditions. This implies that, for the former conditions, accommodating functional limitations could promote greater employment. However, broader accommodations, such as paid sick leave, increased control over work schedules, and other improvements to working conditions may be necessary to reduce work exits due to cardiovascular conditions.

Life Expectancy and Built Environments in the U.S.: A Multilevel Analysis

INTRODUCTION

The purpose of this study is to examine the associations between built environments and life expectancy across a gradient of urbanicity in the U.S.

METHODS

Census tract‒level estimates of life expectancy between 2010 and 2015, except for Maine and Wisconsin, from the U.S. Small-Area Life Expectancy Estimates Project were analyzed in 2022. Tract-level measures of the built environment included: food, alcohol, and tobacco outlets; walkability; park and green space; housing characteristics; and air pollution. Multilevel linear models for each of the 4 urbanicity types were fitted to evaluate the associations, adjusting for population and social characteristics.

RESULTS

Old housing (built before 1979) and air pollution were important built environment predictors of life expectancy disparities across all gradients of urbanicity. Convenience stores were negatively associated with life expectancy in all urbanicity types. Healthy food options were a positive predictor of life expectancy only in high-density urban areas. Park accessibility was associated with increased life expectancy in all areas, except rural areas. Green space in neighborhoods was positively associated with life expectancy in urban areas but showed an opposite association in rural areas.

CONCLUSIONS

After adjusting for key social characteristics, several built environment characteristics were salient risk factors for decreased life expectancy in the U.S., with some measures showing differential effects by urbanicity. Planning and policy efforts should be tailored to local contexts.

Dynamic Changes in the Association Between Education and Health in the United States

Policy Points We reviewed some of the recent advances in education and health, arguing that attention to social contextual factors and the dynamics of social and institutional change provide critical insights into the ways in which the association is embedded in institutional contexts. Based on our findings, we believe incorporating this perspective is fundamentally important to ameliorate current negative trends and inequality in Americans' health and longevity.

Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach

BACKGROUND

Systems science approaches like simulation modeling can offer an opportunity for community voice to shape policies. In the episteme of many communities there are elders, leaders, and researchers who are seen as bearers of historic knowledge and can contextualize and interpret contemporary research using knowledge systems of the community. There is a need for a systematic methodology to collaborate with community Knowledge Bearers and Knowledge Interpreters. In this paper we report the results of piloting a systematic methodology for collaborating with a community Knowledge-Bearer and Knowledge-Interpreter to develop a conceptual model revealing the local-level influences and architecture of systems shaping community realities. The use case for this pilot is 'persistent poverty' in the United States, specifically within the inner-city African American community in Baltimore City.

METHODS

This pilot of a participatory modeling approach was conducted over a span of 7 sessions and included the following steps, each with an associated script: Step 1: Knowledge-Bearer and Knowledge-Interpreter recruitment Step 2: Relationship building Step 3: Session introduction, Vignette development & enrichment Step 4: Vignette analysis & constructing architecture of systems map Step 5: Augmenting architecture of systems map RESULTS: Each step of the participatory modeling approach resulted in artifacts that were valuable for both the communities and the research effort. Vignette construction resulted in narratives representing a spectrum of lived experiences, trajectories, and outcomes within a community. The collaborative analysis of vignettes yielded the Architecture of Systemic Factors map, that revealed how factors inter-relate to form a system in which lived experience of poverty occurs. A literature search provided an opportunity for the community to contextualize existing research about them using realities of lived experience.

CONCLUSION

This methodology showed that a community Knowledge Bearer can function as communicators and interpreters of their community's knowledge base, can develop coherent narratives of lived experiences within which research and knowledge is contextualized, and can collaboratively construct conceptual mappings necessary for simulation modeling. This participatory modeling approach showed that even if there already exists a vast body of research about a community, collaborating with community gives context to that research and brings together disparate findings within narratives of lived experience.

Nature, Nurture, and the Meaning of Educational Attainment: Differences by Sex and Socioeconomic Status

Estimated heritability of educational attainment (EA) varies widely, from 23% to 80%, with growing evidence suggesting the degree to which genetic variation contributes to individual differences in EA is highly dependent upon situational factors. We aimed to decompose EA into influences attributable to genetic propensity and to environmental context and their interplay, while considering influences of rearing household economic status (HES) and sex. We use the Project Talent Twin and Sibling Study, drawn from the population-representative cohort of high school students assessed in 1960 and followed through 2014, to ages 68-72. Data from 3552 twins and siblings from 1741 families were analyzed using multilevel regression and multiple group structural equation models. Individuals from less-advantaged backgrounds had lower EA and less variation. Genetic variance accounted for 51% of the total variance, but within women and men, 40% and 58% of the total variance respectively. Men had stable genetic variance on EA across all HES strata, whereas high HES women showed the same level of genetic influence as men, and lower HES women had constrained genetic influence on EA. Unexpectedly, middle HES women showed the largest constraints in genetic influence on EA. Shared family environment appears to make an outsized contribution to greater variability for women in this middle stratum and whether they pursue more EA. Implications are that without considering early life opportunity, genetic studies on education may mischaracterize sex differences because education reflects different degrees of genetic and environmental influences for women and men.

Cause-of-Death Diversity From a Multiple-Cause Perspective in the United States

Cause-of-death diversity captures the variability of deaths across causes and is an important marker of heterogeneity in a population's health. We contribute to the debate of cause-of-death diversity dynamics by following a novel multiple causes of death (MCOD) approach and applying it to the U.S. context between 2003 and 2018 and across education groups. Results show that cause-of-death diversity increased over this period, especially up to 2012. These trends were mainly driven by increases in the groups aged 65 years or more. The inclusion of MCOD resulted in higher increases in cause-of-death diversity over time compared with merely using underlying causes of death, except for the 85 or more age group, where no difference was observed for males and a reverted gradient was observed for females. Results by educational attainment reveal lower diversity among the highest educated groups and widening differences across groups from around 2012 onward. The clear educational gradient observed at ages 30-64 diminished at older ages. The observed increases in cause-of-death diversity should be monitored to better understand mortality dynamics in aging populations. Our new MCOD diversity measures suggest that traditional approaches relying on single causes of death might be underestimating cause-of-death diversity dynamics, particularly for males.

Race/ethnicity, sleep duration, and mortality risk in the United States

Current evidence and professional guidance recommend sleeping between 7 and 9 h in a 24-h period for optimal health. The present study examines the association between sleep duration and mortality and assesses whether this association varies by racial/ethnic identity for a large and diverse sample of United States adults. We use data on 274,836 adults, aged 25 and older, from the 2004-2014 waves of the National Health Interview Survey (NHIS) linked to prospective mortality through 2015 (23,382 deaths). Cox proportional hazards models were used in multi-variable regressions to estimate hazard ratios for mortality by sleep duration and racial/ethnic identity, controlling for sociodemographic, socioeconomic, and psychological distress variables. We find elevated risks of mortality from any cause for adults who sleep less than 5 h or more than 9 h in a 24-h period after all adjustments. Further, we find evidence that these elevated risks for mortality are more pronounced for some racial/ethnic groups and less pronounced for others. Improved understanding of differences in sleep duration and sleep health can facilitate more effective and culturally-tailored interventions around sleep health, improving overall well-being and enhancing longevity.

Inclusive Education and Health Performance in Sub Saharan Africa

The study assesses the effect of inclusive education on health performance in 48 Sub Saharan African countries from 2000 to 2020. The study adopted the Driscoll/Kraay technique to address cross-sectional dependence and the GMM strategy to address potential endogeneity. The study employed three indicators of health performance which are the total life expectancy, the female life expectancy and the male life expectancy. Three gender parity index of educational enrolments are employed: primary education, secondary and the tertiary education as indicators of inclusive education. The findings of the study reveal that inclusive education enhances the health situation of individuals in Sub Saharan Africa. The findings further show that the health situation of both the male and the female are improved by inclusive education. The study recommends policymakers in this region to invest more in the education and the health sector so as to enhance the health performance of the citizens.

The development and implementation of a new hospital performance measure to assess hospital contributions to community health and equity

OBJECTIVE

To develop and implement a measure of how US hospitals contribute to community health with a focus on equity.

DATA SOURCES

Primary data from public comments and hospital surveys and secondary data from the IBM Watson Top 100 Hospitals program collected in the United States in 2020 and 2021.

STUDY DESIGN

A thematic analysis of public comments on the proposed measure was conducted using an iterative grounded approach for theme identification. A cross-sectional survey of 207 hospitals was conducted to assess self-attestation to 28 community health best practice standards in the revised measure. An analysis of hospital rankings before and after inclusion of the new measure was performed.

DATA COLLECTION/EXTRACTION METHODS

Public comment on the proposed measure was collected via an online survey, email, and virtual meetings in 2020. The survey of hospitals was conducted online by IBM in 2021. The analysis of hospital ranking compared the 2020 and 2021 IBM Watson Top 100 Hospitals program results.

PRINCIPAL FINDINGS

More than 650 discrete comments from 83 stakeholders were received and analyzed during measure development. Key themes identified in thematic analysis included equity, fairness, and community priorities. Hospitals that responded to a cross-sectional survey reported meeting on average 76% of applicable best practice standards. Least met standards included providing emergent buprenorphine treatment for opioid use disorder (53%), supporting an evidence-based home visiting program (53%), and establishing a returning citizens employment program (27%). Thirty-seven hospitals shifted position in the 100 Top Hospital rankings after the inclusion of the new measure.

CONCLUSIONS

There is broad interest in measuring hospital contributions to community health with a focus on equity. Many highly ranked hospitals report meeting best practice standards, but significant gaps remain. Improving measurement to incentivize greater hospital contributions to community health and equity is an important priority.

"Outside the Skin": The Persistence of Black-White Disparities in U.S. Early-Life Mortality

Research on Black-White disparities in mortality emphasizes the cumulative pathways through which racism gets "under the skin" to affect health. Yet this framing is less applicable in early life, when death is primarily attributable to external causes rather than cumulative, biological processes. We use mortality data from the National Vital Statistics System Multiple Cause of Death files and population counts from the Surveillance, Epidemiology, and End Result Program to analyze 705,801 deaths among Black and White males and females, ages 15-24. We estimate age-standardized death rates and single-decrement life tables to show how all-cause and cause-specific mortality changed from 1990 to 2016 by race and sex. Despite overall declines in early-life mortality, Black-White disparities remain unchanged across several causes-especially homicide, for which mortality is nearly 20 times as high among Black as among White males. Suicide and drug-related deaths are higher among White youth during this period, yet their impact on life expectancy at birth is less than half that of homicide among Black youth. Critically, early-life disparities are driven by preventable causes of death whose impact occurs "outside the skin," reflecting racial differences in social exposures and experiences that prove harmful for both Black and White adolescents and young adults.

Examining Racial Disparities in Historical Change of Mental and Physical Health Across Midlife and Old Age in the United States

OBJECTIVES

To examine whether racial disparities are narrowing or widening with historical time among U.S. middle-aged and older adults, and test the extent to which educational attainment moderates racial disparities over historical time.

METHODS

Multilevel models were applied to longitudinal data on middle-aged (ages 40-65) and older adults (ages 66 and older) from the Health and Retirement Study. Historical change was indexed as cohort or birth year. The outcomes of focus were depressive symptoms, episodic memory, health conditions, functional limitations, and self-rated health.

RESULTS

Results revealed a differential pattern of racial disparities in historical change between midlife and old age. Across midlife and old age, on average, Blacks and Hispanics reported poorer levels of mental and physical health, compared with Whites. In midlife, racial disparities narrowed with historical time; later-born cohorts of Hispanics but not Whites reported fewer depressive symptoms than their earlier-born peers. Likewise, historical improvements in health were stronger among Hispanics and Blacks than Whites. Conversely, in old age, later-born cohorts across race consistently showed historical improvements in each of the outcomes examined. Regarding educational attainment, we observed little consistent evidence that health-promoting effects of educational attainment differ across race and cohort. Examining questions about heterogeneity, results revealed that in midlife and old age there was greater heterogeneity between race across each of the outcomes.

DISCUSSION

Our discussion elaborates on reasons behind the documented racial differences in historical changes among U.S. middle-aged and older adults, and how the protective role of education is changing over time.

Heterogeneity in Disparities in Life Expectancy Across US Metropolitan Areas

BACKGROUND

Life expectancy in the United States has declined since 2014 but characterization of disparities within and across metropolitan areas of the country is lacking.

METHODS

Using census tract-level life expectancy from the 2010 to 2015 US Small-area Life Expectancy Estimates Project, we calculate 10 measures of total and income-based disparities in life expectancy at birth, age 25, and age 65 within and across 377 metropolitan statistical areas (MSAs) of the United States.

RESULTS

We found wide heterogeneity in disparities in life expectancy at birth across MSAs and regions: MSAs in the West show the narrowest disparities (absolute disparity: 8.7 years, relative disparity: 1.1), while MSAs in the South (absolute disparity: 9.1 years, relative disparity: 1.1) and Midwest (absolute disparity: 9.8 years, relative disparity: 1.1) have the widest life expectancy disparities. We also observed greater variability in life expectancy across MSAs for lower income census tracts (coefficient of variation [CoV] 3.7 for first vs. tenth decile of income) than for higher income census tracts (CoV 2.3). Finally, we found that a series of MSA-level variables, including larger MSAs and greater proportion college graduates, predicted wider life expectancy disparities for all age groups.

CONCLUSIONS

Sociodemographic and policy factors likely help explain variation in life expectancy disparities within and across metro areas.

Age, sex, and contemporary outcomes in surgical repair of type A aortic dissection: Insights from the National Inpatient Sample

Objective

Acute type A aortic dissection (ATAAD) is a surgical emergency with significant morbidity and mortality, as well as significant center-level variation in outcomes. Our study aims to leverage a nationally representative database to assess contemporary in-hospital outcomes in surgical repair of ATAAD, as well as the association of age and sex with outcomes.

Methods

The National Inpatient Sample was queried to identify hospital discharge records of patients aged ≥18 years who underwent urgent surgical repair of ATAAD between 2017 and 2018. Patients with a diagnosis of thoracic aortic dissection, who underwent surgical intervention of the ascending aorta, were identified. Patient demographics were assessed, and predictors of in-hospital mortality were identified.

Results

We identified 7805 weighted cases of surgically repaired ATAAD nationally, with an overall mortality of 15.3%. Mean age was 60.0 ± 13.6 years. There was a male predominance, although female subjects made up a larger proportion of older age groups—female subjects up 18.4% of patients younger than 40 years with ATAAD but 53.6% of patients older than 80 years. In multivariable analysis controlling for sex, race, comorbidities, and malperfusion, age was a significant predictor of mortality. Patients aged 71 to 80 years had a 5.3-fold increased risk of mortality compared with patients ≤40 years old (P < .001), and patients aged >80 years had a 6.8-fold increased risk of mortality (P < .001). Sex was not significantly associated with mortality.

Conclusions

Surgical repair of ATAAD continues to carry high risk of morbidity and mortality, with outcomes impacted significantly by patient age, regardless of patient comorbidity burden.

A Resistance Framework for Racially Minoritized Youth Behaviors During the Transition to Adulthood

The transition from adolescence to adulthood is a challenging time marked by rapid changes in relational connections, housing status, and academic or work trajectories. We emphasize how structural inequality shapes racially minoritized youth behaviors and center the potential for resistance, arguing that a resistance lens allows us to deepen our understanding of the transition to adulthood for racially minoritized youth. Throughout the paper, we include research on how racially minoritized youth experience marginalizing institutional structures concurrently across multiple systems and their resulting behaviors. We end with the clinical and research implications of a resistance framework to illuminate resistance-informed responses such as rethinking risk and creating spaces for youth-led self-making, youth-adult partnerships to scaffold transitions, and cultivating youth activism.

The Great Divide: Education, Despair, and Death

Deaths of despair, morbidity and emotional distress continue to rise in the US, largely borne by those without a college degree, the majority of American adults, for many of whom the economy and society are no longer delivering. Concurrently, all-cause mortality in the US is diverging by education in a way not seen in other rich countries. We review the rising prevalence of pain, despair, and suicide among those without a BA. Pain and despair created a baseline demand for opioids, but the escalation of addiction came from pharma and its political enablers. We examine the "politics of despair," how less-educated people have abandoned and been abandoned by the Democratic Party. While healthier states once voted Republican in presidential elections, now the less-healthy states do. We review deaths during COVID, finding mortality in 2020 replicated existing relative mortality differences between those with and without college degrees.

Racial Disparities in Coronavirus Disease 2019 Mortality Are Present in Heart Transplant Recipients

BACKGROUND

Studies have demonstrated the devastating effects of coronavirus disease 2019 (COVID-19) on vulnerable populations. Although they receive close follow-up, heart transplant recipients represent a particularly vulnerable population, given long-term immunosuppression and comorbid conditions. We sought to investigate the association between race/ethnicity and the probability of death due to COVID-19 in adult heart transplant recipients in the United States.

METHODS

Adult isolated heart transplant recipients were identified using the Organ Procurement and Transplantation Network database. Recipients who were described as deceased or lost to follow-up before January 2020 were excluded. Recipients were stratified into 4 cohorts by race/ethnicity. The primary outcome of interest was death due to COVID-19.

RESULTS

A total of 22 157 adult recipients were identified. During the course of follow-up, 153 recipients had COVID-19 reported as the primary cause of death. COVID-19 mortality was significantly different between race/ethnicity cohorts (Black, n = 34 [0.79%]; Hispanic, n = 23 [1.33%]; White, n = 92 [0.60%]; other, n = 4 [0.44%]; P = .007). COVID-19 was listed as a contributing cause of mortality in 0.12% of Black, 0.23% of Hispanic, 0.04% of White, and 0.33% of other recipients (P = .002). No significant difference in non-COVID mortality or all-cause mortality was observed. After multivariable adjustment, Black (hazard ratio, 2.78 [1.40-5.52]; P = .003) and Hispanic (hazard ratio, 3.92 [1.88-8.16]; P < .001) recipients were at higher risk of death due to COVID-19 compared with White recipients.

CONCLUSIONS

Compared with White recipients, Black and Hispanic recipients experienced higher rates of COVID-19 mortality after transplantation. These findings suggest that racial/ethnic disparities of COVID-19 mortality in the general population persist in adult heart transplant recipients.

Applying anti-racist pedagogy to teaching about work and retirement in the U.S

Ongoing racial disparities in the work and retirement experiences of older adults are well documented. Assisting students to recognize the impact of these disparities, however, is only the first step toward addressing these systemic concerns. Empowering students to investigate root causes of these disparities is also needed to move toward identifying ways to dismantle institutional racism and create more equitable systems. Anti-racist pedagogy, with its attention to historical/political context and fostering skills for critical analyses and social change, offers educators a framework from which to introduce and explore these issues. While the concept of anti-racism is not new, current events have brought it to the forefront, offering a unique opportunity to engage students in anti-racist work. The following demonstrates how anti-racist pedagogical methods may be applied in gerontology using the example of teaching about later life work and retirement.

The association between educational attainment and longevity using individual-level data from the 1940 census

We combine individual data from the 1940 full-count census with death records and other information available on the Family Tree at familysearch.org to create the largest individual dataset to date (17 million) to study the association between years of schooling and age at death. Conditional on surviving to age 35, one additional year of education is associated with roughly 0.4 more years of life for both men and women for cohorts born 1906-1915 and smaller for earlier cohorts. Focusing on the 1906-1915 cohort we find that this association is identical when we use sibling or twin fixed effects. This association varies substantially by place of birth. For men, the association is stronger in places with greater incomes, higher quality of school, and larger investments in public health. Women also exhibit great heterogeneity in the association, but our measures of the childhood environment do not explain it.

Sense of Relationship Entitlement of Aging Parents Toward Their Offspring (SRE-ao)-A New Concept and Measurement Tool

Our sense of entitlement influences our interactions and attitudes in a range of specific relational contexts, one of them being aging parents' relationships with their adult children. This study aimed to examine the factor structure of the Sense of Relational Entitlement-aging parents toward their offspring (SRE-ao), an 11-item questionnaire that assesses aging people's sense of relational entitlement toward their children, and examine the associations of its subscales with related personality and mental health constructs. One thousand and six participants (24.6% men), aged 65-99, with at least one child, completed the SRE-ao, Brief Symptom Inventory, Loneliness Scale, and General Belongingness scale. The SRE-ao demonstrated good construct structure using confirmatory factor analysis. Both SRE-ao subscales (restricted and inflated sense of entitlement) were significantly and positively associated with anxiety, depression, somatization and sense of loneliness and negatively with sense of belonging. When all variables were entered into a regression model, age, anxiety, and low sense of belonging, but not sense of loneliness, positively predicted both restricted and inflated sense of entitlement. Somatization negatively predicted inflated sense of entitlement. The SRE-ao is a reliable and valid scale that can be used in clinical practice and research to enhance our understanding of parent-child relationships throughout the lifespan.

Association Between the COVID-19 Pandemic and Disparities in Access to Major Surgery in the US

Importance

Racial minority groups account for 70% of excess deaths not related to COVID-19. Understanding the association of the Centers for Medicare & Medicaid Services' (CMS's) moratorium delaying nonessential operations with racial disparities will help shape future pandemic responses.

Objective

To evaluate the association of the CMS's moratorium on elective operations during the first wave of the COVID-19 pandemic among Black individuals, Asian individuals, and individuals of other races compared with White individuals.

Design, Setting, and Participants

This cross-sectional study assessed a 719-hospital retrospective cohort of 3 470 905 adult inpatient hospitalizations for major surgery between January 1, 2018, and October 31, 2020.

Exposure

The first wave of COVID-19 infections between March 1, 2020, and May 31, 2020.

Main Outcomes and Measures

The main outcome was the association between changes in monthly elective surgical case volumes and the first wave of COVID-19 infections as a function of patient race, evaluated using negative binomial regression analysis.

Results

Among 3 470 905 adults (1 823 816 female [52.5%]) with inpatient hospitalizations for major surgery, 70 752 (2.0%) were Asian, 453 428 (13.1%) were Black, 2 696 929 (77.7%) were White, and 249 796 (7.2%) were individuals of other races. The number of monthly elective cases during the first wave was 49% (incident rate ratio [IRR], 0.49; 95% CI, 0.486-0.492; P < .001) compared with the baseline period. The relative reduction in unadjusted elective surgery cases for Black (unadjusted IRR, 0.99; 95% CI, 0.97-1.01; P = .36), Asian (unadjusted IRR, 1.08; 95% CI, 1.03-1.14; P = .001), and other race individuals (unadjusted IRR, 0.97; 95% CI, 0.95-1.00; P = .05) during the surge period compared with the baseline period was very close to the change in cases for White individuals. After adjustment for age, sex, comorbidities, and surgical procedure, there was still no evidence that the first wave of the pandemic was associated with disparities in access to elective surgery.

Conclusions and Relevance

In this cross-sectional study, the CMS's moratorium on nonessential operations was associated with a 51% reduction in elective operations. It was not associated with greater reductions in operations for racial minority individuals than for White individuals. This evidence suggests that the early response to the pandemic did not increase disparities in access to surgical care.

The Association of Distinct Social Determinants of Health with Added Sweetener Knowledge and Consumption in a U.S. Sample of People Living with HIV

Prior studies in people living with HIV (PLWH) suggest added sweetener intake exceeds recommendations and associates with cardiometabolic abnormalities. Little is known of factors that associate with increased sweetener consumption in PLWH. This cross-sectional study explored knowledge and consumption of added sweeteners and associations of social determinants of health (SDoH) among 900 PLWH residing in the United States. Demographics, SDoH, and added sweetener knowledge and consumption were assessed via an online survey, multivariable analyses were completed. Results demonstrate that sex, race, and low educational level associated with lower sweetener knowledge. Race, age, body mass index, income, limited access to fresh fruits/vegetables, and low sweetener knowledge associated with higher sweetener consumption. Findings highlight the need for consideration of specific demographics and inequitable social circumstances when developing nutrition lifestyle strategies, inclusive of added sweetener education, that are feasible and sustainable across diverse community settings of PLWH.

White Students' Perceptions of the Costs and Consequences of Being Black

Many whites explicitly believe that their race has had no impact on their accomplishments in life. The current study used the contingent valuation method to implicitly measure the value of being white-or alternatively, the cost of being black-among a sample of white college students. Participants were presented with a hypothetical scenario in which their racial appearance was altered due to a medical mishap, and then asked to identify the negative consequences they would experience as a result of this change. Participants also assigned a dollar value to their race by reporting the smallest financial settlement they would accept as compensation for the mishap. Results revealed that white students who imagined being black anticipated financial consequences significantly more often than black students who imaged being white, but they anticipated psychosocial consequences significantly less often. The median financial settlement for whiteness was relatively low, while the mean value was quite large and highlighted the importance of whiteness among certain respondents. These findings are discussed, with suggestions for future research.

Inequalities in Life Expectancy Across North Carolina: A Spatial Analysis of the Social Determinants of Health and the Index of Concentration at Extremes

Health inequalities are characterized by spatial patterns of social, economic, and political factors. Life expectancy (LE) is a commonly used indicator of overall population health and health inequalities that allows for comparison across different spatial and temporal regions. The objective of this study was to examine geographic inequalities in LE across North Carolina census tracts by comparing the performance of 2 popular geospatial health indices: Social Determinants of Health (SDoH) and the Index of Concentration at Extremes (ICE). A principal components analysis (PCA) was used to address multicollinearity among variables and aggregate data into components to examine SDoH, while the ICE was constructed using the simple subtraction of geospatial variables. Spatial regression models were employed to compare both indices in relation to LE to evaluate their predictability for population health. For individual SDoH and ICE components, poverty and income had the strongest positive correlation with LE. However, the common spatial techniques of adding PCA components together for a final SDoH aggregate measure resulted in a poor relationship with LE. Results indicated that both metrics can be used to determine spatial patterns of inequities in LE and that the ICE metric has similar success to the more computationally complex SDoH metric. Public health practitioners may find the ICE metric's high predictability matched with lower data requirements to be more feasible to implement in population health monitoring.

The role of context in shaping the relationship between physical health and suicide over the life course

U.S. suicide rates are at a thirty-year high while physical health, as measured by life expectancy and pain, has declined, particularly for those without a college degree. We investigate how these patterns may be related by exploring the role of physical health problems in suicide deaths using 2019 data from the National Violent Death Reporting System. We estimate multilevel logistic regression models to examine (1) how individual risk factors are associated with the likelihood of a physical health circumstance underlying a suicide over the life course and (2) how context – the socioeconomic, health and policy environment of the state in which a decedent resides – may play a role. Physical health circumstances were present in about 20% of all suicides and in over half of suicide deaths for the older population in 2019. A gender crossover effect exists, in which women are more likely to have a physical health problem contribute to a suicide prior to age 60, but men surpass women after age 60 in that probability. Net of individual characteristics, we find significant variation across states in the likelihood of physical health circumstances. For all age groups, physical health circumstances are more likely in states that are less densely populated with weaker gun control laws and higher suicide rates. Among decedents younger than 65, the likelihood is elevated in states with limited health care access. This study highlights the critical interaction between physical and mental well-being, the ways in which that interaction may be experienced differently by gender, and the important role of social safety nets in prevention.

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Poor physical health is an important risk factor for suicide.

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Overall, women and older suicide decedents are more likely to have a physical health circumstance.

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A gender crossover effect exists, with older men more likely to have a physical health circumstance.

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State health and policy environment affects the likelihood of a physical health circumstance.

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Improving physical health and social support is an avenue to suicide prevention.

The Impact of Health Disparities on COVID-19 Outcomes: Early Findings from a High-Income Country and Two Middle-Income Countries

The SARS-CoV-2 infection, which causes the coronavirus disease (COVID-19), has affected lives, with very adverse outcomes in specific populations in the United States of America (USA), a high-income country, and two middle-income countries, Brazil and South Africa. This paper aims to discuss the relationship of race/ethnicity with COVID-19-associated factors in the three countries. The information is based on data collected from infectious disease/epidemiological centers in the USA, Brazil, and South Africa. Adverse COVID-19 outcomes have been associated with the burden of exposure and disease, linked to socioeconomic determinants, among specific ethnicities in all three countries. The prevalence of comorbidities before and the likelihood of work-related exposure in the context of COVID-19 infection puts ethnic minorities in the USA and some ethnic majorities and minorities in Brazil and South Africa at greater risk. We envisage that this work will contribute to ongoing discussions related to addressing socioeconomic determinants of health, and the need for stakeholders in various sectors to work on addressing observed health disparities for overall improvement in health and healthcare given the current pandemic.

Predicting Life Expectancy to Target Cancer Screening Using Electronic Health Record Clinical Data

BACKGROUND

Guidelines recommend breast and colorectal cancer screening for older adults with a life expectancy >10 years. Most mortality indexes require clinician data entry, presenting a barrier for routine use in care. Electronic health records (EHR) are a rich clinical data source that could be used to create individualized life expectancy predictions to identify patients for cancer screening without data entry.

OBJECTIVE

To develop and internally validate a life expectancy calculator from structured EHR data.

DESIGN

Retrospective cohort study using national Veteran's Affairs (VA) EHR databases.

PATIENTS

Veterans aged 50+ with a primary care visit during 2005.

MAIN MEASURES

We assessed demographics, diseases, medications, laboratory results, healthcare utilization, and vital signs 1 year prior to the index visit. Mortality follow-up was complete through 2017. Using the development cohort (80% sample), we used LASSO Cox regression to select ~100 predictors from 913 EHR data elements. In the validation cohort (remaining 20% sample), we calculated the integrated area under the curve (iAUC) and evaluated calibration.

KEY RESULTS

In 3,705,122 patients, the mean age was 68 years and the majority were male (97%) and white (85%); nearly half (49%) died. The life expectancy calculator included 93 predictors; age and gender most strongly contributed to discrimination; diseases also contributed significantly while vital signs were negligible. The iAUC was 0.816 (95% confidence interval, 0.815, 0.817) with good calibration.

CONCLUSIONS

We developed a life expectancy calculator using VA EHR data with excellent discrimination and calibration. Automated life expectancy prediction using EHR data may improve guideline-concordant breast and colorectal cancer screening by identifying patients with a life expectancy >10 years.

EDUCATION AND INCOME GRADIENTS IN LONGEVITY: THE ROLE OF POLICY

Education and income are strong predictors of health and longevity. In the last 20 years many efforts have been made to understand if these relationships are causal and what the possible role of policy should be as a result. The evidence from various studies is ambiguous: the effects of education and income policies on health are heterogeneous and vary over time, and across places and populations. I discuss explanations for these disparate results and suggest directions for future research.