Should health studies measure wealth? A systematic review

Building Financial Capability and Assets to Reduce Poverty and Health Disparities: Race/Ethnicity Matters

BACKGROUND

Evidence has documented racial wealth inequity as one of the key pathways linking structural racism and racial health inequity. Most prior studies on the wealth-health relationship use net worth as the measure of wealth. This approach provides little evidence on the most effective interventions as various types of assets and debt affect health differently. This paper examines how U.S. young adults' wealth components (e.g., financial assets, nonfinancial assets, secured debt, and unsecured debt) are associated with physical and mental health, and if the associations differ by race/ethnicity.

METHODS

Data were drawn from the National Longitudinal Survey of Youth 1997. Health outcomes were measured by mental health inventory and self-rated health. Logistic regressions and ordinary least square regressions were used to assess the association between wealth components and physical and mental health.

RESULTS

I found that financial assets and secured debt were positively associated with self-rated health and mental health. Unsecured debt was negatively associated with mental health only. The positive associations between financial assets and health outcomes were significantly weaker for non-Hispanic Black respondents. Unsecured debt was protective of self-rated health for non-Hispanic Whites only. For Black young adults, unsecured debt had more severe negative health consequences compared to other racial/ethnic groups.

CONCLUSION

This study provides a nuanced understanding of the complex relationship among race/ethnicity, wealth components, and health. Findings could inform asset building and financial capability policies and programs to effectively reduce racialized poverty and health disparities.

Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study

BACKGROUND

Previous research has shown that socioeconomic status (SES) is a strong predictor of chronic disease. However, to the best of our knowledge, there has been no studies of how SES affects the risk of Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) that has not been based upon self-reporting or retrospectively screening of symptoms. As far as we know, this is therefore the first study that isolate and describe socioeconomic determinants of ME/CFS and calculate how these factors relate to the risk of ME/CFS diagnosis by utilizing individual level registry data. This allows for objective operationalization of the ME/CFS population, and makes it possible to model SES affect the risk of ME/CFS diagnosis, relative to control groups.

DATA AND METHODS

We conduct a pooled cross-sectional analysis of registry data from all adult patients diagnosed with ME/CFS from 2016 to 2018 in Norway, coupled with socioeconomic data from statistics Norway from 2011 to 2018. We operationalize SES as household income and educational attainment fixed at the beginning of the study period. We compare the effects of SES on the risk of ME/CFS diagnosis to a population of chronically ill patients with hospital diagnoses that share clinical characteristics of ME/CFS and a healthy random sample of the Norwegian population. Our models are estimated by logistic regression analyses.

RESULTS

When comparing the risk of ME/CFS diagnosis with a population consisting of people with four specific chronic diseases, we find that high educational attainment is associated with a 19% increase (OR: 1.19) in the risk of ME/CFS and that high household income is associated with a 17% decrease (OR:0.83) in risk of ME/CFS. In our second model we compare with a healthy population sample, and found that low educational attainment is associated with 69% decrease (OR:0.31) in the risk of ME/CFS and that low household income is associated with a 53% increase (OR: 1.53).

CONCLUSION

We find statistically significant associations between SES and the risk of ME/CFS. However, our more detailed analyses shows that our findings vary according to which population we compare the ME/CFS patients with, and that the effect of SES is larger when comparing with a healthy population sample, as opposed to controls with selected hospital diagnoses.

Association of Historical Housing Discrimination and Colon Cancer Treatment and Outcomes in the United States

PURPOSE

In the 1930s, the federally sponsored Home Owners' Loan Corporation (HOLC) used racial composition in its assessment of areas worthy of receiving loans. Neighborhoods with large proportions of Black residents were mapped in red (ie, redlining) and flagged as hazardous for mortgage financing. Redlining created a platform for systemic disinvestment in these neighborhoods, leading to barriers in access to resources that persist today. We investigated the association between residing in areas with different HOLC ratings and receipt of quality cancer care and outcomes among individuals diagnosed with colon cancer-a leading cause of cancer deaths amenable to early detection and treatment.

METHODS

Individuals who resided in zip code tabulation areas in 196 cities with HOLC rating and were diagnosed with colon cancer from 2007 to 2017 were identified from the National Cancer Database and assigned a HOLC grade (A, best; B, still desirable; C, definitely declining; and D, hazardous and mapped in red). Multivariable logistic regression models investigated association of area-level HOLC grade and late stage at diagnosis and receipt of guideline-concordant care. The product-limit method evaluated differences in time to adjuvant chemotherapy. Multivariable Cox proportional hazard models investigated differences in overall survival (OS).

RESULTS

There were 149,917 patients newly diagnosed with colon cancer with a median age of 68 years. Compared with people living in HOLC A areas, people living in HOLC D areas were more likely to be diagnosed with late-stage disease (adjusted odds ratio, 1.06 [95% CI, 1.00 to 1.12]). In addition, people living in HOLC B, C, and D areas had 8%, 16%, and 24% higher odds of not receiving guideline-concordant care, including lower receipt of surgery, evaluation of ≥12 lymph nodes, and chemotherapy. People residing in HOLC B, C, or D areas also experienced delays in initiation of adjuvant chemotherapy after surgery. People residing in HOLC C (adjusted hazard ratio [aHR], 1.09 [95% CI, 1.05 to 1.13]) and D (aHR, 1.13 [95% CI, 1.09 to 1.18]) areas had worse OS, including 13% and 20% excess risk of death for individuals diagnosed with early- and 6% and 8% for late-stage disease for HOLC C and D, respectively.

CONCLUSION

Historical housing discrimination is associated with worse contemporary access to colon cancer care and outcomes.

The association between allostatic load and guaranteed annual income using the Canadian Longitudinal Study on Aging: A cross-sectional analysis of the benefits of guaranteed public pensions

BACKGROUND

Old Age Security (OAS) represents an public policy through which income-related inequalities in health may be improved. The goal of this cross-sectional study was to investigate the health benefits of receiving OAS in financially insecure older Canadians.

METHODS

Using data from the Canadian Longitudinal Study on Aging (CLSA) (n=15,691), ordered logistic regression was used to measure associations between financial insecurity and allostatic load.

RESULTS

Receiving OAS as highest personal income source appeared to remove the health penalty of being financially insecure. While financial insecurity was associated with worse allostatic load in both males and females not receiving OAS, those receiving OAS as highest personal income source had better allostatic load compared to other financially insecure older adults (ORM: 0.398, 95 % CI: 0.227, 0.696; ORF: 0.677, 95 % CI: 0.483, 0.949).

DISCUSSION

While longitudinal data would be needed to draw causal inferences, these results suggest OAS may play a role improving health outcomes and narrowing income-related health inequalities. Such findings may have important implications on older adults, other vulnerable populations, and future directions of Canadian health and public policy.

Disability Among Older Immigrants in the United States: Exploring Differences by Region of Origin and Gender

Rapid aging in American society will be disproportionately concentrated among the foreign-born. Immigrants in the United States (U.S.) are a heterogeneous population, yet little is known regarding their differences in disability later in life by region of origin. We use data from the National Health Interview Survey on respondents ages 60+ (n = 313,072) and employ gender-specific logistic models to predict reports of any activity of daily living (ADL) disability. After accounting for socioeconomic factors, compared to their U.S.-born non-Hispanic (NH) White counterparts, the odds of reporting ADL disability were higher among U.S.-born respondents that are Hispanic, NH Black, and NH Multiracial as well as respondents with Mexican, Puerto Rican, Cuban, Russian/former Soviet, Middle Eastern, East Asian, and South Asian origins. Also, Dominican, African, and Southeast Asian women-and European men-reported high odds of ADL disability. Our results highlight heterogeneity in the disability profiles of foreign-born older adults in the U.S..

Assets and depression in U.S. adults during the COVID-19 pandemic: a systematic review

PURPOSE

Mental health is shaped by social and economic contexts, which were altered during the COVID-19 pandemic. No study has systematically reviewed the literature on the relation between different assets and depression during the COVID-19 pandemic.

METHODS

We conducted a systematic review of the literature on financial (e.g. income/savings), physical (e.g., home ownership), and social (e.g., marital status, educational attainment) assets and depression in U.S. adults. For each asset type, we created binary comparisons to report on the direction of the relationship and described if each study reported insignificant, positive, negative, or mixed associations.

RESULTS

Among the 41 articles identified, we found that income was the most studied asset (n=34), followed by education (n=25), marital status (n=18), home ownership (n=5), and savings (n=4). 88%, 100%, and 100% of articles reported a significant association of higher income, home ownership, and higher savings, respectively, with less depression. The association between marital status and education with depression was more nuanced: 72% (13 of 18) studies showed that unmarried persons had greater risk of depression than married or cohabitating persons and 52% (13 of 25) of studies reported no significant difference in depression across educational groups.

CONCLUSION

This work adds to the literature a deeper understanding of how different assets relate to depression. In the context of largescale traumatic events, policies that maintain and protect access to social, physical, and financial assets may help to protect mental health.

Education, Income, Wealth, and Discrimination in Black-White Allostatic Load Disparities

INTRODUCTION

Allostatic load (AL) is a significant marker of aging, associated with disease and mortality. Research has elucidated the impact of education and income on AL. However, the roles of wealth and discrimination in contributing to AL and shaping AL disparities remain underexplored. This study aimed to investigate the association between wealth and AL, while also examining the independent contributions of education, income, wealth, and everyday discrimination in shaping AL disparities.

METHODS

Using 2016 data from the nationally representative Health and Retirement Study (N=3,866), this study employed multilinear regression analysis to quantify the association between education and income, wealth (calculated as assets minus debts), and everyday discrimination with AL. Oaxaca-Blinder decomposition analysis was conducted to determine the proportion of AL disparities between Black and White participants attributed to education and income, wealth, and everyday discrimination. Analyses were performed in 2023.

RESULTS

Having a college degree or more (b = -0.32; 95% CI: -0.46, -0.17), higher income (b = -0.06; 95% CI: -0.11, -0.01), and greater wealth (b = -0.11; 95% CI: -0.16, -0.07) were linked to reduced AL. Conversely, increased experiences of everyday discrimination were associated with heightened AL (b = 0.07; 95% CI: 0.01, 0.16). Collectively, differences in possessing a college degree or more, wealth, and exposure to discrimination accounted for about 18% of the observed Black-White AL disparities.

CONCLUSIONS

Education, income, wealth, and experiences of discrimination may independently contribute to AL and partially explain Black-White disparities in AL. There is a need to elucidate the underlying mechanisms governing these relationships, particularly wealth, and extend the research to additional social determinants of racial health disparities.

Wealth Redistribution to Extend Longevity in the US

Importance

The US is unique among wealthy countries in its degree of wealth inequality and its poor health outcomes. Wealth is known to be positively associated with longevity, but little is known about whether wealth redistribution might extend longevity.

Objective

To examine the association between wealth and longevity and estimate the changes in longevity that could occur with simulated wealth distributions that were perfectly equal, similar to that observed in Japan (among the most equitable of Organisation for Economic Co-operation and Development [OECD] countries), generated by minimum inheritance proposals, and produced by baby bonds proposals.

Design, Setting, and Participants

This longitudinal cohort study analyzed the association between wealth and survival among participants in the Health and Retirement Study (1992-2018), a nationally representative panel study of middle-aged and older (≥50 years) community-dwelling, noninstitutionalized US adults. The data analysis was performed between November 15, 2022, and September 24, 2023.

Exposure

Household wealth on study entry, calculated as the sum of all assets minus the value of debts and classified into deciles.

Main Outcomes and Measures

Weibull survival models were used to estimate the association between per-person wealth decile and survival, adjusting for age, sex, marital status, household size, and race and ethnicity. Changes in longevity that might occur under alternative wealth distributions were then estimated.

Results

The sample included 35 164 participants (mean [SE] age at study entry, 59.1 [0.1] years; 50.1% female and 49.9% male [weighted]). The hazard of death generally decreased with increasing wealth, wherein participants in the highest wealth decile had a hazard ratio of 0.59 for death (95% CI, 0.53-0.66) compared with those in the lowest decile, corresponding to a 13.5-year difference in survival. A simulated wealth distribution of perfect equality would increase populationwide median longevity by 2.2 years (95% CI, 2.2-2.3 years), fully closing the mortality gap between the US and the OECD average. A simulated minimum inheritance proposal would increase populationwide median longevity by 1.7 years; a simulated wealth distribution similar to Japan's would increase populationwide median longevity by 1.2 years; and a simulated baby bonds proposal would increase populationwide median longevity by 1.0 year.

Conclusions and Relevance

These findings suggest that wealth inequality in the US is associated with significant inequities in survival. Wealth redistribution policies may substantially reduce those inequities and increase population longevity.

Socioeconomic status and incident depressive symptoms among older adults: A 3-year longitudinal study from the Japan Gerontological Evaluation Study

OBJECTIVES

The association between socioeconomic status (SES) and the onset of depressive symptoms has attracted considerable attention. However, few studies have simultaneously examined the association of multiple SES indicators, including "assets," with the onset of depressive symptoms. Therefore, this study examined the association of four SES indicators in old age ('years of education' 'equivalent income,' 'equivalent assets,' and 'the longest-held job') with new-onset depressive symptoms in a large Japanese dataset.

METHODS

This longitudinal study used panel data of cognitively and physically independent older adults from the Japan Gerontological Evaluation Study (JAGES) conducted in 2013 and 2016. Multivariate logistic regression analysis was conducted to examine the association of each SES indicator with new-onset depressive symptoms, and odds ratios and 95% confidence intervals (CIs) were calculated.

RESULTS

We analyzed the data of 40,257 older adults, with a mean age (± standard deviation) of 72.9 (±5.5) years. In the follow-up survey, 4292 older adults had new-onset depression symptoms (10.7%). 39.3% had 10-12 years of education. 36.9% had an equivalent income of up to JPY 1.99 million. 24.4% had equivalent assets of JPY 4-17.99 million. Most had a clerical job for the long time. Furthermore, fewer years of education (males: OR = 1.42, 95% CI = 1.22-1.64, p-value <0.001/females: 1.26, [1.09-1.47], p = 0.002), lower income (males: 1.64, [1.34-2.01], p < 0.001/females: 1.82, [1.49-2.22], p < 0.001), and fewer assets (males: 1.40, [1.16-1.68], p < 0.001/females: 1.21, [1.02-1.42], p = 0.025) resulted in higher odds of having new-onset depressive symptoms, even when other SES indicators were entered simultaneously.

CONCLUSIONS

All four SES indicators have an independent association with the development of new-onset depressive symptoms among older adults, reflecting different aspects of SES. The association between the "longest-held job" and new-onset depressive symptoms can be largely explained by other SES indicators. A multifaceted and lifetime approach is required to prevent the onset of depressive symptoms in old age.

Does local income and wealth inequality affect mortality? A register-based fixed effects study of 58 million person-years

Aim: The Income Inequality Hypothesis asserts that income inequality causes negative health burdens within wealthy nations. We aimed to test the hypothesis in Norway, examining the relationship between both income and wealth inequality, net of individual economic resources, and individual all-cause mortality. To this day, little is known about the association between wealth inequality and mortality. In Norway, wealth is far more unequally distributed than income and can be a more prevalent indicator of long-term financial security. Methods: We estimated discrete-time event history models from Norwegian register data, covering all Norwegian-born men and women aged 25-84 years during the period 1993-2013. We include fixed effects at the municipal level, adjusting for time-invariant characteristics in the local area. Our data contain approximately 58.5 million person-year observations after sample restrictions. Results: Overall, increased income and wealth inequality (measured using Gini coefficients of individuals' pensionable income and net worth) is not associated with higher mortality risk in Norway. With a one percentage point increase in income inequality, odds ratio (OR) for mortality was estimated at 0.998 (95% confidence interval (CI) 0.996-1.001) for men and 1.002 (95% CI 0.999-1.006) for women. Corresponding OR from increased wealth inequality was 0.998 (95% CI 0.997-1.000) for men and 0.999 (95% CI 0.998-1.001) for women. Conclusions: Our results raise further doubts about the existence of a contextual effect of economic inequality on health, at least in a Nordic setting. Extensive health policies, relatively generous benefits and high levels of trust could potentially function as a buffer against negative health consequences of increased economic inequality in Norway.

Housing tenure and disability in the UK: trends and projections 2004-2030

Introduction

Housing is a major influence on health. Housing tenure is associated with housing conditions, affordability, and security and is an important dimension of housing. In the UK there have been profound changes in both housing conditions and the distribution of households by tenure over the past century, that is during the lifetimes of the current population.

Methods

We firstly reviewed and summarise changes in housing conditions, housing policy and tenure distribution as they provide a context to possible explanations for health variations by housing tenure, including health related selection into different tenure types. We then use 2015-2021 data from a large nationally representative UK survey to analyse associations between housing tenure and self-reported disability among those aged 40-69 controlling for other socio-demographic factors also associated with health. We additionally examine changes in the association between housing tenure and self-reported disability in the population aged 25 and over in the first two decades of the 21st century and project trends forward to 2030.

Results

Results show that associations between housing tenure and disability by tenure were stronger than for any other indicator of socio-economic position considered with owner-occupiers having the best, and social renters the worst, health. Differences were particularly marked in reported mental health conditions and in economic activity, with 28% of social renters being economically inactive due to health problems, compared with 4% of owner-occupiers. Rates of disability have increased over time, and become increasingly polarised by tenure. By 2020 the age standardised disability rate among tenants of social housing was over twice as high as that for owner occupiers, with projections indicating further increases in both levels, and differentials in, disability by 2030.

Discussion

These results have substantial implications for housing providers, local authorities and for public health.

The association between wealth and sleep medication use in a nationally-representative sample of older Medicare beneficiaries

BACKGROUND

Sleep disorders are common among older adults, leading to high prevalence of over-the-counter and prescription sleep medication use. Socioeconomically disadvantaged individuals have higher prevalence of sleep disorders. Frequent use of sleep medications can increase the risk of falls. Little is known about the association between wealth and sleep medication use in older adults.

METHODS

We conducted a cross-sectional analysis using a nationwide sample of 7603 Medicare beneficiaries (65+ years) from Round 1 (2011) of the National Health and Aging Trends Study. We measured self-reported wealth as the sum of assets (retirement savings, stocks/bonds, checking/savings accounts, business assets, and home value) minus liabilities (mortgage, credit card, and medical debt). Self-reported sleep medication use in the past month was categorized as frequent (5-7 nights/week), sometimes (1-4 nights/week), or never (0 night/week). We estimated differences in the prevalence of sleep medication use by quintiles of wealth using crude and adjusted binomial regression models. Individuals missing sleep medication information were excluded.

RESULTS

Median wealth was $152 582 (IQR: $24 023-412 992). Sixteen percent reported frequent sleep medication use, 15% reported some use, and 70% reported no use. Frequent sleep medication use was more common in lower wealth quintiles (lowest: 20%, highest: 12%). Alternatively, some use was more common in higher wealth quintiles (lowest: 11%, highest: 18%). Results were similar after adjustment for demographic factors, anxiety, depression, and sleep disorders.

CONCLUSIONS

In this study, less wealthy older adults had higher prevalence of frequent sleep medication use. This may lead to dependency or increased fall risk in this vulnerable population.

Racial/Ethnic Heterogeneity in Parental Wealth and Substance Use from Adolescence to Young Adulthood

BACKGROUND

Substance use has a negative impact on health outcomes, at the individual and population levels. Little consensus exists regarding the relationship between socioeconomic position and substance use across race/ethnicity. This study examines how race/ethnicity and socioeconomic factors, especially parental wealth, are associated with substance use across an 18-year span from adolescence to young adulthood.

METHOD

Data were drawn from the National Longitudinal Survey of Youth 1997. Substance use behaviors were measured by self-reported heavy episodic drinking, daily cigarette smoking, and use of cannabis. Parental wealth and parental education were measured at baseline. Other socioeconomic factors included education, employment status, and household income. Two-level logistic regression was performed.

RESULTS

White respondents were more likely to drink, smoke cigarettes, and use cannabis compared to other racial/ethnic groups. More parental wealth was associated with greater odds of heavy episodic drinking, but lower odds of cigarette and cannabis usage. Race/ethnicity modifies the relationships between parental wealth and substance use. Whereas Black respondents from wealthier families had lower odds of heavy episodic drinking, the direction was opposite among white respondents. Wealth functioned as a protective factor against smoking for all groups, although to a lesser extent among respondents of color than for white respondents. Finally, wealthier Hispanics were more likely to smoke daily and use cannabis compared to other racial/ethnic groups.

CONCLUSION

These findings highlight a nuanced patterning of racial/ethnic heterogeneity in the relationship between parental wealth and substance use behaviors. Implications for policy and programming are discussed.

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.

The PhenX Toolkit: Measurement Protocols for Assessment of Social Determinants of Health

INTRODUCTION

Social determinants are structures and conditions in the biological, physical, built, and social environments that affect health, social and physical functioning, health risk, quality of life, and health outcomes. The adoption of recommended, standard measurement protocols for social determinants of health will advance the science of minority health and health disparities research and provide standard social determinants of health protocols for inclusion in all studies with human participants.

METHODS

A PhenX (consensus measures for Phenotypes and eXposures) Working Group of social determinants of health experts was convened from October 2018 to May 2020 and followed a well-established consensus process to identify and recommend social determinants of health measurement protocols. The PhenX Toolkit contains data collection protocols suitable for inclusion in a wide range of research studies. The recommended social determinants of health protocols were shared with the broader scientific community to invite review and feedback before being added to the Toolkit.

RESULTS

Nineteen social determinants of health protocols were released in the PhenX Toolkit (https://www.phenxtoolkit.org) in May 2020 to provide measures at the individual and structural levels for built and natural environments, structural racism, economic resources, employment status, occupational health and safety, education, environmental exposures, food environment, health and health care, and sociocultural community context.

CONCLUSIONS

Promoting the adoption of well-established social determinants of health protocols can enable consistent data collection and facilitate comparing and combining studies, with the potential to increase their scientific impact.

Changing a Community: A Holistic View of the Fundamental Human Needs and Their Public Health Impacts

There are many approaches to changing a community to ensure it serves the people's fundamental needs. For example, enabling equitable access to critical aspects of the community, such as quality healthcare, high-quality education, and job training, is vital for promoting community safety through enhancing tolerance and respect for diversity. However, creating a community that serves the fundamental needs of the people demands a substantive investment of effort. Understanding the nature of these efforts requires discussion of community engagement, examining community networks and their role in fostering cooperative action, enhancing public safety, and identifying the structures of involvement and pertinent routes for developing community land. Understanding such efforts entails knowing the issues related to gentrification and disbandment. These hands-on possibilities can help avert the possibility of people being pushed out of their community settings. These insights further shed light on how the family unit and larger community are able to create collective unity and foster each member's responsibility in community service provision that promotes community integration. Examining how violence and other factors affect a community's collective power is necessary to determine how a community can avoid such violence and encourage positive changes at the individual and family levels to promote community cooperation and safety. Essentially, changing a community can yield significant improvements in public health. Addressing factors such as access to nutritious food, healthcare, physical activity, and social amenities and fostering social cohesion through community engagement can collectively contribute to reducing the burden of chronic diseases and promoting overall well-being. This review provides insight into crucial issues that have long plagued the societal disconnect between the local community and the leadership, policymakers, or other authoritative institutions that govern them, thus affecting the implementation of strategic social and public health initiatives. We will also explore strategies to mitigate these potential pitfalls.

Wealth index association with self-reported oral health between white and non-white older Brazilians

This cross-sectional study aimed to identify the association between self-reported oral health status and a wealth index among white and non-white older adults in Brazil. Data from individual assessments of 9,365 Brazilians aged 50 years or older were analyzed. Poisson regression models were performed to estimate the prevalence ratio between wealth index and self-reported oral health among whites and non-whites adjusted for intermediate and proximal determinants. The total prevalence of poor self-reported oral health on white and non-white individuals was 41.6% (95%CI: 40.0-43.4) and 48% (95%CI: 47.1-49.8) respectively. The adjusted analysis showed that, for whites, the wealth index is associated with self-reported oral health since individuals in the 3rd, 4th, and 5th quintiles have 25% (PR = 0.75; 95%CI: 0.65-0.88), 20% (PR = 0.80; 95%CI: 0.67-0.95), and 39% (PR = 0.61; 95%CI: 0.50-0.75) lower prevalence of poor self-reported oral health than those in the poorest quintile. For non-white individuals, the wealth index is associated with self-reported oral health only for those in the 5th quintile, with 25% (PR = 0.85; 95%CI: 0.72-0.99) lower prevalence of poor self-reported oral health than those in the poorest quintile. The wealth index showed different effects on self-reported oral health among whites and non-whites. Socioeconomic status indicators may reflect racial inequalities due to the historical legacy of institutional discrimination. This study highlights the importance of developing policies to combat racial inequities and how these can contribute to better oral health conditions for the older Brazilian population.

Financial strain and depression in the U.S.: a scoping review

While the association between assets and depression has been established, less is known about the link between financial strain and depression. Given rising financial strain and economic inequity due to the COVID-19 pandemic, understanding the role that financial strain plays in shaping population depression in the United States is particularly salient. We conducted a scoping review of the peer-reviewed literature on financial strain and depression published from inception through January 19, 2023, in Embase, Medline via PubMed, and PsycINFO, PsycArticles, SocINDEX, and EconLit via Ebsco. We searched, reviewed, and synthesized the literature on longitudinal studies on financial strain and depression conducted in the United States. Four thousand and four unique citations were screened for eligibility. Fifty-eight longitudinal, quantitative articles on adults in the United States were included in the review. Eighty-three percent of articles (n = 48) reported a significant, positive association between financial strain and depression. Eight articles reported mixed results, featuring non-significant associations for some sub-groups and significant associations for others, one article was unclear, and one article reported no significant association between financial strain and depression. Five articles featured interventions to reduce depressive symptoms. Effective interventions included coping mechanisms to improve one's financial situation (e.g., mechanisms to assist in finding employment), to modify cognitive behavior (e.g., reframing mindset), and to engage support (e.g., engaging social and community support). Successful interventions were tailored to participants, were group-based (e.g., they included family members or other job seekers), and occurred over multiple sessions. While depression was defined consistently, financial strain was defined variably. Gaps in the literature included studies featuring Asian populations in the United States and interventions to reduce financial strain. There is a consistent, positive association between financial strain and depression in the United States. More research is needed to identify and test interventions that mitigate the ill effects of financial strain on population's mental health.

Spatiotemporal analysis of the effect of global development indicators on child mortality

BACKGROUND

Child mortality continue to be a major public health issue in most developing countries; albeit there has been a decline in global under-five deaths. The differences in child mortality can best be explained by socioeconomic and environmental inequalities among countries. In this study, we explore the effect of country-level development indicators on under-five mortality rates. Specifically, we examine potential spatio-temporal heterogeneity in the association between major world development indicators on under-five mortality, as well as, visualize the global differential time trend of under-five mortality rates.

METHODS

The data from 195 countries were curated from the World Bank's World Development Indicators (WDI) spanning from 2000 to 2017 and national estimates for under-five mortality from the UN Inter-agency Group for Child Mortality Estimation (UN IGME).We built parametric and non-parametric Bayesian space-time interaction models to examine the effect of development indicators on under-five mortality rates. We also used employed Bayesian spatio-temporal varying coefficient models to assess the spatial and temporal variations in the effect of development indicators on under-five mortality rates.

RESULTS

In both parametric and non-parametric models, the results show indicators of good socioeconomic development were associated with a reduction in under-five mortality rates while poor indicators were associated with an increase in under-five mortality rates. For instance, the parametric model shows that gross domestic product (GDP) (β = - 1.26, [CI - 1.51; - 1.01]), current healthcare expenditure (β = - 0.40, [CI - 0.55; - 0.26]) and access to basic sanitation (β = - 0.03, [CI - 0.05; - 0.01]) were associated with a reduction under-five mortality. An increase in the proportion practising open defecation (β = 0.14, [CI 0.08; 0.20]) an increase under-five mortality rate. The result of the spatial components spatial variation in the effect of the development indicators on under-five mortality rates. The spatial patterns of the effect also change over time for some indicators, such as PM2.5.

CONCLUSION

The findings show that the burden of under-five mortality rates was considerably higher among sub-Saharan African countries and some southern Asian countries. The findings also reveal the trend in reduction in the sub-Saharan African region has been slower than the global trend.

The Black-White Disparity in Preterm Birth: Race or Racism?

Policy Points Racism is an upstream determinant of health that influences health through many midstream and downstream factors. This Perspective traces multiple plausible causal pathways from racism to preterm birth. Although the article focuses on the Black-White disparity in preterm birth, a key population health indicator, it has implications for many other health outcomes. It is erroneous to assume by default that underlying biological differences explain racial disparities in health. Appropriate science-based policies are needed to address racial disparities in health; this will require addressing racism.

Cross-national differences in wealth inequality in health services and caregiving used near the end of life

Background

Socioeconomic inequality in access to and use of health services and social care provided near the end of life, or end-of-life care (EOLC), is not well understood in many countries. We examined wealth inequality in EOLC-hospital, nursing home, and hospice use and receipt of formal and informal caregiving-in 22 countries in Europe, Asia (South Korea), and North America (United States, Mexico).

Methods

We used harmonized data from nationally representative studies of people aged 50 and older that collected information on healthcare utilisation and caregiving receipt in the time preceding death. We categorized countries according to their level of public long-term care (LTC) spending and examined EOLC prevalence across countries. We used logistic regression models to estimate wealth inequality in each type of EOLC.

Findings

In the USA the least wealthy had more hospital (OR 1.30, p = 0.008) and nursing home/care use (OR 1.88, p < 0.001). In South Korea the least wealthy had more nursing home/care use (OR 2.24, p = 0.003). The least wealthy in high LTC Europe had less hospice use (OR 0.56, p = 0.003). The least wealthy were also less likely to be hospitalized in European countries with low LTC spending (OR 0.81, p = 0.04), but more likely to receive informal caregiving (OR 1.25, p = 0.033). Formal care was more common among the least wealthy in high LTC Europe (OR 1.57, p = 0.002), the USA (OR 1.42, p < 0.001) and South Korea (OR 1.69, p = 0.028), but less common among the least wealthy in Mexico (OR 0.17, p < 0.001).

Interpretation

Wealth inequality in EOLC exists across countries and reflects differences in the organization, financing, and delivery of care in different countries. The findings highlight the need to consider equity in current and future plans to improve EOLC access.

Funding

United States National Institute on Aging Grant R01AG030153.

Postpartum Depression and Health: Role of Perceived Social Support among Pakistani Women

Postpartum depression (PPD) can predispose to physical and mental health problems in Pakistani women. However, PPD is associated with health and perceived social support, yet their causal relationship is unclear. Therefore, this study intended to evaluate the association of PPD with insomnia, mental health, and physical health. The convenience sampling technique was used to collect data from 320 (52.8%) young and middle-aged postpartum women, at the outpatient departments of obstetrics and gynecology of the Government Maula Bakhsh Hospital, District Head Quarter in Sargodha, Pakistan. The Edinburgh Postnatal Depression Scale, Pittsburgh Sleep Quality Index, Warwick–Edinburgh Mental Well-being Scale, patient health questionnaire, and Multidimensional Scale of Perceived Social Support were used to measure study variables. The results revealed a significant positive relationship between PPD and physical health (r = 0.45, p = 0.001), negative relationships with insomnia (r = −0.24, p < 0.001), and perceived social support (r = −0.38, p = 0.001). Results further confirmed that perceived social support played a moderating role (β = 0.97, p = 0.01) in the relationship between PPD and mental health among Pakistani women. This study concluded that perceived social support has an important role in PPD and the health of Pakistani women. The study also concluded that poor health is a risk indicator for the identification of aid in the early stages of postpartum among Pakistani women.

Gendered late working life trajectories, family history and welfare regimes: evidence from SHARELIFE

Earlier employment choices based on family events in earlier life have an impact up until late working life, especially in welfare regimes that encourage the breadwinner-caretaker division. We investigate types of late employment patterns and how these are associated with earlier family events. We also test whether the association between early family history and late working life varies across five welfare regimes. Using retrospective life history data from SHARELIFE, our sample consists of 10,913 women and 10,614 men aged 65 years and older. Late working life trajectories are analyzed using gender-separate sequence analyses, which are summarized into eight groups applying cluster analyses. Using average marginal and interaction effects, we explain how the association between types of late working life, coresidential partnership history and parenthood history differs by welfare states. For instance, women's late employment is either shaped by unpaid care or paid (full- or part-time) work but not both, whereas men's late working life is mainly shaped by full-time work. Family history in earlier life is linked to unpaid care and part-time work-an association strongest in liberal and southern welfare regimes. However, among men earlier family events are linked to full-time work. Policymakers need gender-specific strategies to integrate workers into late working life. The implementation of new policies should aim to prevent these social inequalities in early life, as employment decisions caused by family history in earlier life stages-especially for women-tend to cumulate over the life course.

Racial/ethnic differences in the relationship between wealth and health across young adulthood

•Wealth attenuated racial differences in self-rated health during young adulthood.•Wealth had consistent incremental effect on health among White & Hispanic Americans.•For Black Americans, wealth was protective of health in the highest wealth quartile.•Individual wealth, not parental wealth was associated with health among Hispanics.

Mechanisms to Improve Health Through Community Land Trusts

Community land trusts (CLTs) provide long-term affordable housing and offer a range of mechanisms that may improve the health and well-being of low-income households. We sought to elucidate these mechanisms through thematic analysis of semi-structured interviews with a diverse sample of CLT staff and residents across the USA. Stakeholders most frequently identified improvements in mental health that come through increased housing stability and affordability. Other factors-including the ways that CLTs promote wealth generation, improvements in housing quality and neighborhood amenities, services and partnerships with healthcare organizations, and democratic governance-were raised by respondents though less frequently tied to health benefits. CLTs represent a promising area for future research on housing's impact on health.

History of Incarceration and Its Association With Geriatric and Chronic Health Outcomes in Older Adulthood

Importance

Although incarcerated older adults experience higher rates of chronic disease and geriatric syndromes, it is unknown whether community-dwelling older adults with a history of incarceration are also at risk for worse health outcomes.

Objective

To evaluate the association between a history of incarceration and health outcomes, including chronic health conditions and geriatric syndromes, in older age.

Design, Setting, and Participants

This cross-sectional study using population-based data from the nationally representative Health and Retirement Study included US community-dwelling adults aged 50 years or older who completed the 2012 or 2014 survey waves assessing self-reported history of incarceration. Statistical analysis was completed from December 2021 to July 2022.

Exposures

Self-reported history of incarceration.

Main Outcomes and Measures

Geriatric health outcomes included cognitive impairment, mobility impairment, vision impairment, hearing impairment, urinary incontinence, and impairment of activities of daily living (ADLs). Chronic health outcomes included high blood pressure, diabetes, chronic lung disease, heart disease, stroke, mental health conditions, heavy alcohol use, and self-reported health. Survey weights were applied to adjust for the survey design.

Results

Among 13 462 participants, 946 (7.6%) had experienced incarceration (mean [SD] age, 62.4 [7.8] years); compared with 12 516 people with no prior incarceration (mean [SD] age, 66.7 [10.0] years), previously incarcerated adults were more likely to be male (83.0% vs 42.8%; P < .001) and in the lowest quartile of wealth (44.1% vs 21.4%; overall P < .001). After adjusting for age, sex, race and ethnicity, wealth, educational attainment, and uninsured status, a history of incarceration was associated with a 20% to 80% increased risk of all geriatric syndromes evaluated, including impairment of ADLs (relative risk [RR], 1.62; 95% CI, 1.40-1.88) and hearing impairment (RR, 1.22; 95% CI, 1.04-1.44). Incarceration was also associated with increased risk of some chronic diseases, including chronic lung disease (RR, 1.56; 95% CI, 1.27-1.91), mental health conditions (RR, 1.80; 95% CI, 1.55-2.08), and heavy alcohol use (RR, 2.13; 95% CI, 1.59-2.84). Prior incarceration was not associated with diabetes or cardiovascular conditions.

Conclusions and Relevance

In this study, at least 1 in 15 older US adults reported a history of incarceration in their lifetime. Past incarceration was associated with many chronic diseases and geriatric syndromes even after accounting for socioeconomic status. These findings suggest that attention to incarceration history may be an important consideration in understanding and mitigating health risks in older age.

Relationship Between Educational Level and Attitudes Towards Alcohol Conversations in Healthcare: A Cross-Sectional Survey Conducted in Four European Countries

Objectives: To examine the association between educational level and attitudes towards alcohol conversations in healthcare using population-based surveys of adults in England, the Netherlands, Norway, and Sweden; and to compare attitudes towards alcohol conversations in healthcare between these four countries. Methods: Cross-sectional surveys were conducted amongst adults in the general population in England (n = 3,499), the Netherlands (n = 2,173), Norway (n = 1,208), and Sweden (n = 3,000). Logistic regression analysis was used to examine associations between attitudes towards alcohol conversations in healthcare and educational level, key demographic variables, alcohol consumption, and country of residence. Results: In all four countries, low educational level (p < 0.001) and male gender (p < 0.001) were associated with holding negative attitudes towards discussing alcohol in healthcare. Risky drinkers had more negative attitudes than low risky drinkers towards discussing alcohol in healthcare (p < 0.001) in all countries except England (p = 0.48), and also reported low levels of perceived honesty and confidence in healthcare (p < 0.001). Conclusion: These findings highlight the importance of considering patients' socio-economic status when developing and implementing alcohol prevention interventions in healthcare.

Trajectories of Intrinsic Capacity: Determinants and Associations with Disability

OBJECTIVES

Intrinsic capacity (IC) declines progressively with age, thereby increasing the risk of disability. However, it is less known whether IC trajectories are associated with disability. This study aims to identify the different patterns of IC trajectories in older people, and examine their determinants and associations with Instrumental Activities of Daily Living (IADL).

DESIGN

Cohort study.

SETTING

Community centres in different regions in Hong Kong.

PARTICIPANTS AND MEASUREMENTS

Longitudinal data from community-dwelling older people aged 60 years or above (n = 1371) collected between 2016 and 2021 was analysed. Their mean age was 74.5 years, and 78.7% of them were female. Repeated measurements of a set of 14 self-reported items were used to generate IC scores at four time points using a bi-factor model. Latent class growth analysis was performed to identify classes with distinct IC trajectories. The association between class membership and IADL disability was then examined using logistic regression.

RESULTS

Three distinct IC trajectories were identified. The 1st class included those with the highest level of baseline IC and the least declining trajectory, whereas the 3rd class was composed by those with the lowest level of baseline IC and the most declining trajectory. Older age, female gender, lower perceived financial adequacy, living in public or subsidized housing, and chronic diseases were associated with the 3rd class. After adjusting for demographic factors, socioeconomic status, and the number of chronic diseases, the 1st class was more likely to preserve IADL when compared against the 2nd class, with OR being 3.179 (95% CI: 2.152-4.793), whereas for the 3rd class, the OR was 0.253 (95% CI: 0.178-0.359).

CONCLUSION

Monitoring IC trajectories is of relevance to clinical practice, as it helps shift the focus from treating acute episodes of illness to preserving the functional ability of older people.

Association of socioeconomic position and childhood obesity in Finland: a registry-based study

OBJECTIVE

To identify what dimensions of socioeconomic position (SEP) are most closely associated with childhood obesity in Finland, leveraging population-wide data among the whole child population aged 2-17 years in Finland.

DESIGN

Registry-based study.

SETTING

Data from several administrative registries linked on individual level covering the whole of Finland were used. Data on height and weight measurements in 2018 were obtained from the Register of Primary Health Care visits and data on sociodemographic and socioeconomic indicators (2014-2018) from Statistics Finland.

PARTICIPANTS

Children aged 2-17 years with valid height and weight measurements performed at the child health clinic or school healthcare in 2018 (final n=194 423).

MAIN OUTCOME MEASURES

Obesity was defined according to WHO Growth Reference curves. Sociodemographic and socioeconomic indicators were linked on individual level for adults (both parents) who lived in the same household (42 predictors). Boosted regression model was used to analyse the contribution of SEP to obesity.

RESULTS

From socioeconomic indicators, annual household income (12.6%) and mother and father's educational level (12.6% and 8.1%, respectively) had the highest relative influence on obesity risk. The relative influence of a child's sex was 7.7%.

CONCLUSIONS

The parents' SEP was inversely associated with obesity among the offspring. A remarkable number of objective SEP indicators were analysed with parents' education and household income finally being the indicators most strongly associated with obesity among children. In future research, more attention should be paid to reliable and objective ways of measuring educational status and income rather than on developing new SEP indicators. Administrative registries with information on both healthcare and socioeconomic indicators can in future provide better opportunities to assess the influence of SEP on various health risks.

Association Between Racial Wealth Inequities and Racial Disparities in Longevity Among US Adults and Role of Reparations Payments, 1992 to 2018

IMPORTANCE

In the US, Black individuals die younger than White individuals and have less household wealth, a legacy of slavery, ongoing discrimination, and discriminatory public policies. The role of wealth inequality in mediating racial health inequities is unclear.

OBJECTIVE

To assess the contribution of wealth inequities to the longevity gap that exists between Black and White individuals in the US and to model the potential effects of reparations payments on this gap.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study analyzed the association between wealth and survival among participants in the Health and Retirement Study, a nationally representative panel study of community-dwelling noninstitutionalized US adults 50 years or older that assessed data collected from April 1992 to July 2019. Participants included 7339 non-Hispanic Black (hereinafter Black) and 26 162 non-Hispanic White (hereinafter White) respondents. Data were analyzed from January 1 to September 17, 2022.

EXPOSURES

Household wealth, the sum of all assets (including real estate, vehicles, and investments), minus the value of debts.

MAIN OUTCOMES AND MEASURES

The primary outcome was all-cause mortality by the end of survey follow-up in 2018. Using parametric survival models, the associations among household wealth, race, and survival were evaluated, adjusting for age, sex, number of household members, and marital status. Additional models controlled for educational level and income. The survival effects of eliminating the current mean wealth gap with reparations payments ($828 055 per household) were simulated.

RESULTS

Of the 33 501 individuals in the sample, a weighted 50.1% were women, and weighted mean (SD) age at study entry was 59.3 (11.1) years. Black participants' median life expectancy was 77.5 (95% CI, 77.0-78.2) years, 4 years shorter than the median life expectancy for White participants (81.5 [95% CI, 81.2-81.8] years). Adjusting for demographic variables, Black participants had a hazard ratio for death of 1.26 (95% CI, 1.18-1.34) compared with White participants. After adjusting for differences in wealth, survival did not differ significantly by race (hazard ratio, 1.00 [95% CI, 0.92-1.08]). In simulations, reparations to close the mean racial wealth gap were associated with reductions in the longevity gap by 65.0% to 102.5%.

CONCLUSIONS AND RELEVANCE

The findings of this cohort study suggest that differences in wealth are associated with the longevity gap that exists between Black and White individuals in the US. Reparations payments to eliminate the racial wealth gap might substantially narrow racial inequities in mortality.

Household Wealth and Individuals' Mental Health: Evidence from the 2012-2018 China Family Panel Survey

Based on the data from the 2012-2018 China Family Panel Survey, this study examines the impact of household wealth on individuals' mental health using a two-way fixed effects model. The findings indicate that household wealth exerts a significant positive effect on individuals' mental health. Furthermore, this study shows that the impact of household wealth on individuals' mental health is nonlinear but inverted U-shaped. Considering the possible endogeneity problem, this study further examines the effect of household wealth on residents' mental health using two-stage least squares, and the conclusions remain robust. The results of the heterogeneity analysis indicate that household wealth has a greater impact on the mental health of residents in the low-education group and western region. Furthermore, the results of the mechanisms reveal that household wealth affects mental health by influencing insurance investment and individuals' labor supply. Moreover, this study finds that household wealth affects individuals' mental health not only in the short term but also in the medium and long terms. This study provides policy implications for the government toward improving individuals' mental health.

Examining the relationship between household wealth and colorectal cancer screening behaviors among U.S. men aged 45-75

Colorectal cancer (CRC) is the third leading cause of cancer-related death among men in the United States (U.S.), particularly among men aged 45 years and older. Early-detection screening remains a key method of decreasing CRC-related deaths, yet socioeconomic barriers exist to planning and completing CRC screening. While accumulating evidence shows income disparities in CRC screening prevalence, a dearth of research has investigated wealth disparities. This study aimed to determine whether household wealth was associated with CRC screening uptake and future screening intent. In February 2022, we sent an online survey to potential participants; U.S. men aged 45–75 years were eligible to participate. We examined four CRC screening behaviors as outcomes: ever completing a stool-based or exam-based screening test, current screening status, and future screening intent. Household net wealth, determined by self-reported household wealth and debt, was the primary predictor. We used logistic regression to estimate odds ratios (ORs) and their 95% confidence interval (CI). Of the study participants (N = 499), most self-identified as Non-Hispanic White, were aged 50–64 years, and had previously completed a CRC screening test. Results revealed that, among men aged 45–49 years, higher net wealth decreased the odds of ever completing a stool- or exam-based test (OR = 0.58, 95% CI: 0.33, 0.98; OR = 0.55, 95% CI: 0.31, 0.94, respectively). By contrast, among men aged 50–75 years, higher net wealth increased the odds of being current with CRC screening (OR = 1.40, 95% CI: 1.03, 1.92). Net wealth was unassociated with CRC screening intent. These findings suggest that household net wealth, rather than income, is an important socioeconomic factor to consider in relation to uptake of CRC early-detection screening. The financial and social cognitive mechanisms linking household wealth to CRC screening behaviors merit future research and intervention.

•

Wealth was associated with U.S men's adherence to screening for colorectal cancer.

•

Age modified the association between wealth and colorectal cancer screening uptake.

•

Wealth reduced the odds of past colorectal screening completion for men 45–49 years.

The Global Network Socioeconomic Status Index as a predictor of stillbirths, perinatal mortality, and neonatal mortality in rural communities in low and lower middle income country sites of the Global Network for Women's and Children's Health Research

BACKGROUND

Globally, socioeconomic status (SES) is an important health determinant across a range of health conditions and diseases. However, measuring SES within low- and middle-income countries (LMICs) can be particularly challenging given the variation and diversity of LMIC populations.

OBJECTIVE

The current study investigates whether maternal SES as assessed by the newly developed Global Network-SES Index is associated with pregnancy outcomes (stillbirths, perinatal mortality, and neonatal mortality) in six LMICs: Democratic Republic of the Congo, Guatemala, India, Kenya, Pakistan, and Zambia.

METHODS

The analysis included data from 87,923 women enrolled in the Maternal and Newborn Health Registry of the NICHD-funded Global Network for Women's and Children's Health Research. Generalized estimating equations models were computed for each outcome by SES level (high, moderate, or low) and controlling for site, maternal age, parity, years of schooling, body mass index, and facility birth, including sampling cluster as a random effect.

RESULTS

Women with low SES had significantly higher risks for stillbirth (p < 0.001), perinatal mortality (p = 0.001), and neonatal mortality (p = 0.005) than women with high SES. In addition, those with moderate SES had significantly higher risks of stillbirth (p = 0.003) and perinatal mortality (p = 0.008) in comparison to those with high SES.

CONCLUSION

The SES categories were associated with pregnancy outcomes, supporting the validity of the index as a non-income-based measure of SES for use in studies of pregnancy outcomes in LMICs.

Assessing comparative asset-based measures of material wealth as predictors of physical growth and mortality

Social scientists and policymakers have increasingly relied on asset-based indices of household wealth to assess social disparities and to identify economically vulnerable populations in low- and middle-income countries. In the last decade, researchers have proposed a number of asset-based measures that permit global comparisons of household wealth across populations in different countries and over time. Each of these measures relies on different assumptions and indicators, and little is known about the relative performance of these measures in assessing disparities. In this study, we assess four comparative, asset-based measures of wealth—the Absolute Wealth Estimate (AWE), the International Wealth Index (IWI), the Comparative Wealth Index (CWI), and the “Standard of Living” portion of the Multi-Dimensional Poverty Index (MPI), along with a variable measuring television ownership—and compare how well each predicts health related variables such as women's BMI, children's height-for-age Z scores, and infant mortality at the household and survey level. Analyzing data from over 300 Demographic and Health surveys in 84 countries (n = 2,304,928 households), we found that AWE, IWI, CWI, MPI are all highly correlated (r = 0.7 to 0.9). However, IWI which is based on a common set of universally weighted indicators, typically best accounts for variation in all three health measures. We discuss the implications of these findings for choosing and interpreting these measures of wealth for different purposes.

•

Assessing four comparative, asset-based measures of wealth.

•

The four comparative asset-based measures of wealth are all highly correlated.

•

International Wealth Index best accounts for variation in adult female BMI, child height-for-age, and infant mortality.

•

Asset-based measures of wealth relying on universal indicators and weights perform better at explaining variance.

Wealth and depression: A scoping review

INTRODUCTION

The inverse relation between income and depression is well established. Less is understood about the relation between wealth and depression. We therefore conducted a scoping review to answer the question: What is known from the existing literature about the relation between wealth and depression?

METHODS

We searched for studies and articles in Medline (via PubMed), Embase, PsycINFO, PsycArticles, EconLit, and SocINDEX from inception through July 19, 2020. Ninety-six articles were included in our review. Key article characteristics were year of publication, sample size, country, study design, definition of depression, definition of wealth, and association between wealth and depression. Thirty-two longitudinal articles were included in a detailed charted review.

RESULTS

Depression was defined in a relatively standard manner across articles. In contrast, definitions and measurements of wealth varied greatly. The majority of studies in the full review (n = 56, 58%) and half of the studies in the longitudinal charted review (n = 16, 50%) reported an inverse relation between wealth and depression. The longitudinal charted review showed that (1) macro-economic events influenced depression, (2) wealth status influenced depression across the lifecourse, (3) wealth protected against depression in the face of stressors such as job loss, (4) subjective or psychosocial factors such as perception of wealth, relative comparison, and social status modified the relation between wealth and depression, and (5) savings interventions were successful in reducing depression and varied by context.

CONCLUSION

These findings suggest that wealth should be included in our consideration of the forces that shape mental health.

Racialized economic segregation and health outcomes: A systematic review of studies that use the Index of Concentration at the Extremes for race, income, and their interaction

Extensive research shows that residential segregation has severe health consequences for racial and ethnic minorities. Most research to date has operationalized segregation in terms of either poverty or race/ethnicity rather than a synergy of these factors. A novel version of the Index of Concentration at the Extremes (ICERace-Income) specifically assesses racialized economic segregation in terms of spatial concentrations of racial and economic privilege (e.g., wealthy white people) versus disadvantage (e.g., poor Black people) within a given area. This multidimensional measure advances a more comprehensive understanding of residential segregation and its consequences for racial and ethnic minorities. The aim of this paper is to critically review the evidence on the association between ICERace-Income and health outcomes. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a rigorous search of academic databases for papers linking ICERace-Income with health. Twenty articles were included in the review. Studies focused on the association of ICERace-Income with adverse birth outcomes, cancer, premature and all-cause mortality, and communicable diseases. Most of the evidence indicates a strong association between ICERace-Income and each health outcome, underscoring income as a key mechanism by which segregation produces health inequality along racial and ethnic lines. Two of the reviewed studies examined racial disparities in comorbidities and health care access as potential explanatory factors underlying this relationship. We discuss our findings in the context of the extant literature on segregation and health and propose new directions for future research and applications of the ICERace-Income measure.

Mobility status and acute care physical therapy utilization: The Moderating roles of age, significant others, and insurance type

OBJECTIVE

To investigate whether a direct measure of need for PT, mobility status, was associated with acute care PT utilization and whether this relationship differs across sociodemographic factors and insurance type.

DESIGN

In a secondary analysis of electronic health records data, we estimated logistic regression models to determine whether mobility status was associated with acute care PT utilization. Interactions between mobility and both sociodemographic factors (sex; age; significant other; minority status) and insurance type were included to investigate whether the relationship between mobility and PT utilization varied across patient characteristics.

SETTING

Five regional hospitals from one health system.

PARTICIPANTS

60,459 adults admitted between 2014 and 2018 who received a PT evaluation.

INTERVENTIONS

None.

MAIN OUTCOME MEASURE(S)

Received acute care PT; Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" measure of mobility.

RESULTS

Half of patients who received a PT evaluation received subsequent treatment. Patients with mobility limitations were more likely to receive PT. Interaction terms indicated that among patients with mobility limitations, those who 1) were younger; 2) had significant others; and 3) had private insurance (vs. public) were more likely to receive PT. Among patients with greater mobility status, older patients and those without a significant other were more likely to receive PT.

CONCLUSIONS

The relationship between acute care PT need and utilization differed across sociodemographic factors and insurance type. We offer potential explanations for these findings to guide studies targeting equitable distribution of beneficial PT services.

Activities of Daily Living Performance and Acute Care Occupational Therapy Utilization: Moderating Factors

IMPORTANCE

Hospitalized patients who have difficulty performing activities of daily living (ADLs) benefit from occupational therapy services; however, disparities in access to such services are understudied.

OBJECTIVE

To investigate whether need (i.e., limited ADL performance) predicts acute care occupational therapy utilization and whether this relationship differs across sociodemographic factors and insurance type.

DESIGN

A secondary analysis of electronic health records data. Logistic regression models were specified to determine whether ADL performance predicted use of occupational therapy treatment. Interactions were included to investigate whether the relationship between ADL performance and occupational therapy utilization varied across sociodemographic factors (e.g., age) and insurance type.

PARTICIPANTS

A total of 56,022 adults admitted to five regional hospitals between 2014 and 2018 who received an occupational therapy evaluation.

INTERVENTION

None. Outcomes and Measures: Occupational therapy service utilization, Activity Measure for Post-Acute Care "6-Clicks" measure of daily activity.

RESULTS

Forty-four percent of the patients evaluated for occupational therapy received treatment. Patients with lower ADL performance were more likely to receive occupational therapy treatment; however, interaction terms indicated that, among patients with low ADL performance, those who were younger, were White and non-Hispanic, had significant others, and had private insurance (vs. public) were more likely to receive treatment. These differences were smaller among patients with greater ADL performance.

CONCLUSIONS AND RELEVANCE

Greater need was positively associated with receiving occupational therapy services, but this relationship was moderated by age, minoritized status, significant other status, and insurance type. The findings provide direction for exploring determinants of disparities in occupational therapy utilization. What This Article Adds: Acute care occupational therapy utilization is driven partly by patient need, but potential disparities in access to beneficial services may exist across sociodemographic characteristics and insurance type. Identifying potential determinants of disparities in acute care occupational therapy utilization is the first step in developing strategies to reduce barriers for those in need.

Activities of Daily Living Performance and Acute Care Occupational Therapy Utilization: Moderating Factors

IMPORTANCE

Hospitalized patients who have difficulty performing activities of daily living (ADLs) benefit from occupational therapy services; however, disparities in access to such services are understudied.

OBJECTIVE

To investigate whether need (i.e., limited ADL performance) predicts acute care occupational therapy utilization and whether this relationship differs across sociodemographic factors and insurance type.

DESIGN

A secondary analysis of electronic health records data. Logistic regression models were specified to determine whether ADL performance predicted use of occupational therapy treatment. Interactions were included to investigate whether the relationship between ADL performance and occupational therapy utilization varied across sociodemographic factors (e.g., age) and insurance type.

PARTICIPANTS

A total of 56,022 adults admitted to five regional hospitals between 2014 and 2018 who received an occupational therapy evaluation.

INTERVENTION

None. Outcomes and Measures: Occupational therapy service utilization, Activity Measure for Post-Acute Care "6-Clicks" measure of daily activity.

RESULTS

Forty-four percent of the patients evaluated for occupational therapy received treatment. Patients with lower ADL performance were more likely to receive occupational therapy treatment; however, interaction terms indicated that, among patients with low ADL performance, those who were younger, were White and non-Hispanic, had significant others, and had private insurance (vs. public) were more likely to receive treatment. These differences were smaller among patients with greater ADL performance.

CONCLUSIONS AND RELEVANCE

Greater need was positively associated with receiving occupational therapy services, but this relationship was moderated by age, minoritized status, significant other status, and insurance type. The findings provide direction for exploring determinants of disparities in occupational therapy utilization. What This Article Adds: Acute care occupational therapy utilization is driven partly by patient need, but potential disparities in access to beneficial services may exist across sociodemographic characteristics and insurance type. Identifying potential determinants of disparities in acute care occupational therapy utilization is the first step in developing strategies to reduce barriers for those in need.

Associations between indicators of socioeconomic position and DNA methylation: a scoping review

BACKGROUND

Socioeconomic position (SEP) is a major determinant of health across the life course. Yet, little is known about the biological mechanisms explaining this relationship. One possibility widely pursued in the scientific literature is that SEP becomes biologically embedded through epigenetic processes such as DNA methylation (DNAm), wherein the socioeconomic environment causes no alteration in the DNA sequence but modifies gene activity in ways that shape health.

METHODS

To understand the evidence supporting a potential SEP-DNAm link, we performed a scoping review of published empirical findings on the association between SEP assessed from prenatal development to adulthood and DNAm measured across the life course, with an emphasis on exploring how the developmental timing, duration, and type of SEP exposure influenced DNAm.

RESULTS

Across the 37 identified studies, we found that: (1) SEP-related DNAm signatures varied across the timing, duration, and type of SEP indicator; (2) however, longitudinal studies examining repeated SEP and DNAm measures are generally lacking; and (3) prior studies are conceptually and methodologically diverse, limiting the interpretability of findings across studies with respect to these three SEP features.

CONCLUSIONS

Given the complex relationship between SEP and DNAm across the lifespan, these findings underscore the importance of analyzing SEP features, including timing, duration, and type. To guide future research, we highlight additional research gaps and propose four recommendations to further unravel the relationship between SEP and DNAm.

Essentialism and Exclusion: Racism in Cancer Risk Prediction Models

Cancer risk prediction models have the potential to revolutionize the science and practice of cancer prevention and control by identifying the likelihood that a patient will develop cancer at some point in the future, likely experience more benefit than harm from a given intervention, and survive their cancer for a certain number of years. The ability of risk prediction models to produce estimates that are valid and reliable for people from diverse socio-demographic backgrounds-and consequently their utility for broadening the reach of precision medicine to marginalized populations-depends on ensuring that the risk factors included in the model are represented as thoroughly and as accurately as possible. However, cancer risk prediction models created in the United States have a critical limitation, the origins of which stem from the country's earliest days: they either erroneously treat the social construct of race as an immutable biological factor (ie, they "essentialize" race), or they exclude from the model those socio-contextual factors that are associated with both race and health outcomes. Models that essentialize race and/or exclude socio-contextual factors sometimes incorporate "race corrections" that adjust a patient's risk estimate up or down based on their race. This commentary discusses the origins of race corrections, potential flaws with such corrections, and strategies for developing cohorts for developing risk prediction models that do not essentialize race or exclude key socio-contextual factors. Such models will help move the science of cancer prevention and control towards its goal of eliminating cancer disparities and achieving health equity.

Impact of socio-economic factors on Tuberculosis treatment outcomes in north-eastern Uganda: a mixed methods study

BACKGROUND

Tuberculosis (TB) is a major public health problem and at 48%, Karamoja in North-Eastern Uganda has the lowest treatment success rate nationally. Addressing the social determinants of TB is crucial to ending TB. This study sought to understand the extent and ways in which socio-economic factors affect TB treatment outcomes in Karamoja.

METHODS

We conducted a convergent parallel mixed methods study in 10 TB Diagnostic and Treatment Units. The study enrolled former TB patients diagnosed with drug-susceptible TB between April 2018 and March 2019. Unit TB and laboratory registers were reviewed to identify pre-treatment losses to follow-up. Four focus group discussions with former TB patients and 18 key informant interviews with healthcare workers were conducted. Principle component analysis was used to generate wealth quintiles that were compared to treatment outcomes using the proportion test. The association between sociodemographic characteristics and TB treatment outcomes was evaluated using the chi-square test and multiple logistic regression.

RESULTS

A total of 313 participants were randomly selected from 1184 former TB patients recorded in the unit TB registers. Of these, 264 were contacted in the community and consented to join the study: 57% were male and 156 (59.1%) participants had unsuccessful treatment outcomes. The wealthiest quintile had a 58% reduction in the risk of having an unsuccessful treatment outcome (adj OR = 0.42, 95% CI 0.18-0.99, p = 0.047). People who were employed in the informal sector (adj OR = 4.71, 95% CI 1.18-18.89, p = 0.029) and children under the age of 15 years who were not in school or employed (adj OR = 2.71, 95% CI 1.11-6.62, p = 0.029) had significantly higher odds of unsuccessful treatment outcome. Analysis of the pre-treatment loss to follow-up showed that 17.2% of patients with pulmonary bacteriologically confirmed TB did not initiate treatment with a higher proportion among females (21.7%) than males (13.5%). Inadequate food, belonging to migratory communities, stigma, lack of social protection, drug stock-outs and transport challenges affected TB treatment outcomes.

CONCLUSIONS

This study confirmed that low socio-economic status is associated with poor TB treatment outcomes emphasizing the need for multi- and cross-sectoral approaches and socio-economic enablers to optimise TB care.

Determinants of long-term care insurance applications in South Korea

BACKGROUND

South Korea established universal long-term care insurance (LTCI) in 2008. However, actual requests for LTCI remain lower than government estimates because some eligible candidates never apply despite their strong care needs. This study aimed to examine factors affecting LTCI applications for older, community-dwelling Koreans.

METHODS

Both individual- and community-level data were obtained from a national dataset from the Korea Health Panel Survey and the Korea National Statistical Office (N = 523). Data were analyzed using multilevel modeling.

RESULTS

Only 16.4% of older adults in need of care applied for LTCI. Those who applied were more likely to be older, report poor self-rated health, receive care from non-family caregivers, and have caregivers experiencing high levels of caregiving burden. Regional differences in LTCI applications existed concerning the financial condition of one's community.

CONCLUSIONS

Our study findings emphasize that Korean LTCI should implement both individual and community strategies to better assist older adults in properly acquiring LTCI. The government should make comprehensive efforts to increase access to LTCI in terms of availability, quality, cost, and information by collaborating with local centers.

Intersectionality of Net Worth and Race Relative to Utilization of Total Hip and Knee Arthroplasty

BACKGROUND

Although the number of total hip arthroplasty and total knee arthroplasty (THA and TKA) increases, individuals of color continue to be less likely to undergo these procedures. Socioeconomic status may be a key influencer of THA and TKA utilization and outcomes. We explore the influence of net worth and race on THA and TKA utilization and outcomes of length of stay and readmissions using a large patient database.

METHODS

The StrataSphere data set, an aggregation of 49 health systems representing 209 hospitals, was used for primary THA and TKA procedures performed in the calendar year 2019. Net worth was determined from Market Vue Partners' data sources. Statistical analyses were performed to investigate relationships between net worth and patients undergoing THA or TKA.

RESULTS

When comparing our overall patient cohorts with the US population using Census data, we found differences in the utilization pattern indicated by index ratios most clearly in the lowest net worth categories. In the <$10K net worth category, THA and TKA index ratios were 0.51 and 0.54, respectively. In addition, we found that patients in the $100-250 and $250-500K net worth categories had increased utilization of both THA (index ratios of 1.39, 1.53) and TKA (index ratios of 1.45, 1.47) surgeries.

CONCLUSION

Net worth is a strong driver of disparities in utilization of THA and TKA with lower utilization of these surgeries in patients with net worth <$10K and increased utilization in patients with net worth from $100-250 and $250-500K.

Identifying Nontraditional Epidemic Disease Risk Factors Associated with Major Health Events from World Health Organization and World Bank Open Data

Health events emerge from host, community, environment, and pathogen factors-forecasting epidemics is a complex task. We describe an exploratory analysis to identify economic risk factors that could aid epidemic risk assessment. A line list was constructed using the World Health Organization Disease Outbreak News (2016-2018) and economic indicators from the World Bank. Poisson regression employing forward imputations was used to establish relationships with the frequency with which countries reported public health events. Economic indicators demonstrated strong performance appropriate for further assessment in surveillance programming. In our analysis, three economic indicators were significantly associated to event reporting: how much the country's urban population changed, its average forest area, and a novel economic indicator we developed that assessed how much the gross domestic product changed per capita. Other economic indicators performed less well: changes in total, female, urban, and rural population sizes; population density; net migration; change in per cent forest area; total forest area; and another novel indicator, change in percent of trade as a fraction of the total economy. We then undertook a further analysis of the start of the current COVID-19 pandemic that revealed similar associations, but confounding by global disease burden is likely. Continued development of forecasting approaches capturing information relevant to whole-of-society factors (e.g., economic factors as assessed in our study) could improve the risk management process through earlier hazard identification and inform strategic decision processes in multisectoral strategies to preventing, detecting, and responding to pandemic-threat events.

Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies

BACKGROUND

The association between socioeconomic position (SEP) and health is well-established. However, the association between SEP and healthy ageing as a multidimensional construct is unclear.

METHODS

We conducted a systematic review of peer-reviewed cross-sectional and longitudinal studies on the associations between SEP and multidimensional healthy ageing measures. Studies were identified from a systematic search across major electronic databases from inception to February 2021.

RESULTS

Fourthy-five articles met inclusion criteria (26 cross-sectional and 19 longitudinal studies). There was no consistency in method of operationalizing healthy ageing across studies, domains included in the healthy ageing measures, or in the definition and number of levels of SEP indicators. Overall, regardless of heterogeneity between studies, a positive association between educational level (85.0 % of studies) and income/wealth (81.4 % of studies) and healthy ageing was evident. Regarding occupational position, evidence from 11 studies was inconclusive. The number of studies including home ownership, parenteral SEP, or composite SEP scores was insufficient to be able to draw a conclusion.

CONCLUSIONS

There is evidence that socioeconomic inequalities, as assessed by educational level and income/wealth, are associated with healthy ageing. These findings, and the broader evidence base on SEP and healthy ageing, highlight the importance of addressing inequality through integrated health and social policies and strategies.

Financial toxicity, mental health, and gynecologic cancer treatment: The effect of the COVID-19 pandemic among low-income women in New York City

BACKGROUND

New York City (NYC) emerged as an epicenter of the COVID-19 pandemic, and marginalized populations were affected at disproportionate rates. The authors sought to determine the impact of COVID-19 on cancer treatment, anxiety, and financial distress among low-income patients with gynecologic cancer during the peak of the NYC pandemic.

METHODS

Medicaid-insured women who were receiving gynecologic oncology care at 2 affiliated centers were contacted by telephone interviews between March 15 and April 15, 2020. Demographics and clinical characteristics were obtained through self-report and retrospective chart review. Financial toxicity, anxiety, and cancer worry were assessed using modified, validated surveys.

RESULTS

In total, 100 patients completed the telephone interview. The median age was 60 years (range, 19-86 years), and 71% had an annual income <$40,000. A change in employment status and early stage cancer (stage I and II) were associated with an increase in financial distress (P < .001 and P = .008, respectively). Early stage cancer and telehealth participation were significantly associated with increased worry about future finances (P = .017 and P = .04, respectively). Lower annual income (<$40,000) was associated with increased cancer worry and anxiety compared with higher annual income (>$40,000; P = .036 and P = .017, respectively). When controlling for telehealth participation, income, primary language, and residence in a high COVID-19 prevalence area, a delay in medical care resulted in a 4-fold increased rate of anxiety (P = .023, 95% CI, 1.278-14.50). Race was not significantly associated with increased financial distress, cancer worry, or anxiety.

CONCLUSIONS

Low socioeconomic status was the most common risk factor for increased financial distress, cancer worry, and anxiety. Interventions aimed at improving access to timely oncology care should be implemented during this ongoing pandemic.