The Dynamics of Income and Neighborhood Context for Population Health: Do Long Term Measures of Socioeconomic Status Explain More of the Black/White Health Disparity than Single-Point-In-Time Measures?

Socioeconomic status, though a robust and strong predictor of health, has generally been unable to fully explain the health gap between blacks and whites in the Untied States. However, at both the individual and neighborhood levels, socioeconomic status is often treated as a static factor with only single-point-in-time measurements. These cross-sectional measures fail to account for possible heterogeneous histories within groups who may share similar characteristics at a given point in time. As such, ignoring the dynamic nature of socioeconomic status may lead to the underestimation of its importance in explaining health and racial health disparities. In this study, I use national longitudinal data to investigate the relationship between neighborhood poverty and respondent-rated health, focusing on whether the addition of a temporal dimension reveals a stronger relationship between neighborhood poverty and health, and a greater explanatory power for the health gap between blacks and whites. Results indicated that long-term neighborhood measures are stronger predictors of health outcomes and explain a greater amount of the black/white health gap than single-point measures

Toward a Population Health Model of Segmented Assimilation: The Case of Low Birth Weight in Los Angeles

The authors adapt the segmented assimilation theory to a model population health, which posits that assimilation is actually harmful to migrants\u27 health. The authors also specify models of individual and contextual factors to indirectly test the theory of segmented assimilation - a theory that posits interactions between individual and residential circumstances. Using Year 2000 vital statistics data merged with 2000 U.S. census data from Los Angeles County, the authors model the probability of being born low birth weight among the native and foreign born. Results confirm an immigrant advantage at the individual level and protective effects of immigrant coresidence at the neighborhood level

Using race- and age-specific COVID-19 case data to investigate the determinants of the excess COVID-19 mortality burden among Hispanic Americans

Background: Age-adjusted COVID-19 mortality estimates have exposed a previously hidden excess mortality burden for the US Hispanic population. Multiple explanations have been put forth, including unequal quality/access to health care, higher proportion of pre-existing health conditions, multigenerational household composition, and disproportionate representation in telecommute-unfriendly occupations. However, these hypotheses have been rarely tested. Objective: We examine age-stratified patterns of Hispanic COVID-19 mortality vis-à-vis patterns of exposure to evaluate the multiple posited hypotheses. Methods: We use a combination of public and restricted data from the Centers of Disease Control and Prevention and leverage national and subnational race- and age-stratified COVID-19 mortality and case burdens/advantages to evaluate the workplace vulnerability hypothesis. We also use individual-level information on prior health conditions and mortality from the case data to assess whether observed patterns are consistent with the other hypotheses. Results: Our results indicate that the disproportionate burdens for both COVID-19 case and mortality for the Hispanic population are largest among the working-age groups, supporting the hypothesis that workplace exposure plays a critical role in heightening vulnerability to COVID-19 mortality. We find little evidence to support the hypotheses regarding multigenerational household composition, pre-existing health conditions, or unequal quality/access to health care. Conclusions: Our findings point to the key roles played by age structure and differential exposure in contributing to the disproportionately severe impact of COVID-19 on the Hispanic population. Contribution: We contribute evidence to explain the driving factors in the observed excess COVID-19 mortality burden among Hispanics. Our findings underscore the importance of focusing on more robust workplace protections, particularly for working-age minority populations

Neighborhood Effects on Health: Concentrated Advantage and Disadvantage

We investigate an alternative conceptualization of neighborhood context and its association with health. Using an index that measures a continuum of concentrated advantage and disadvantage, we examine whether the relationship between neighborhood conditions and health varies by socio-economic status. Using NHANES III data geo-coded to census tracts, we find that while largely uneducated neighborhoods are universally deleterious, individuals with more education benefit from living in highly educated neighborhoods to a greater degree than individuals with lower levels of education

Education and Levels of Salivary Cortisol Over the Day in US Adults

Background - Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis is hypothesized to be an important pathway linking socioeconomic position and chronic disease. Purpose - This paper tests the association between education and the diurnal rhythm of salivary control. Methods - Up to 8 measures of cortisol (mean of 5.38 per respondent) over two days were obtained from 311 respondents aged 18-70, drawn from 2001-2002 Chicago Community Adult Health Study. Multi-level models with linear splines were used to estimate waking level, rates of cortisol decline, and area-under-the-curve over the day, by categories of education. Results - Lower education (0-11 years) was associated with lower waking levels of cortisol, but not the rate of decline of cortisol, resulting in a higher area-under-the-curve for more educated respondents throughout the day. Conclusions - This study found evidence of lower cortisol exposure among individuals with less education and thus does not support the hypothesis that less education is associated with chronic over-exposure to cortisol

Education and Levels of Salivary Cortisol Over the Day in US Adults

Background - Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis is hypothesized to be an important pathway linking socioeconomic position and chronic disease. Purpose - This paper tests the association between education and the diurnal rhythm of salivary control. Methods - Up to 8 measures of cortisol (mean of 5.38 per respondent) over two days were obtained from 311 respondents aged 18-70, drawn from 2001-2002 Chicago Community Adult Health Study. Multi-level models with linear splines were used to estimate waking level, rates of cortisol decline, and area-under-the-curve over the day, by categories of education. Results - Lower education (0-11 years) was associated with lower waking levels of cortisol, but not the rate of decline of cortisol, resulting in a higher area-under-the-curve for more educated respondents throughout the day. Conclusions - This study found evidence of lower cortisol exposure among individuals with less education and thus does not support the hypothesis that less education is associated with chronic over-exposure to cortisol

Circadian rhythm of cortisol and neighborhood characteristics in a population-based sample: The Multi-Ethnic Study of Atherosclerosis

Although stress is often hypothesized to contribute to the effects of neighborhoods on health, very few studies have investigated associations of neighborhood characteristics with stress biomarkers. This study helps address the gap in the literature by examining whether neighborhood characteristics are associated with cortisol profiles. Analyses were based on data from the Multi-Ethnic Study of Atherosclerosis Stress study which collected multiple measures of salivary cortisol over three days on a population based sample of approximately 800 adults. Multilevel models with splines were used to examine associations of cortisol with neighborhood poverty, violence, disorder, and social cohesion. Neighborhood violence was significantly associated with lower cortisol values at wakeup and with a slower decline in cortisol over the earlier part of the day, after sociodemographic controls. Associations were weaker and less consistent for neighborhood poverty, social cohesion, and disorder. Results revealed suggestive, though limited, evidence linking neighborhood contexts to cortisol circadian rhythms

Sample designs for measuring the health of small racial/ethnic subgroups

Most national health surveys do not permit precise measurement of the health of racial/ethnic subgroups that comprise <1 per cent of the U.S. population. We identify three potentially promising sample design strategies for increasing the accuracy of national health estimates for a small target subgroup when used to supplement a small probability sample of that group and apply these strategies to American Indians/Alaska Natives (AI/AN) and Chinese using National Health Interview Survey data. These sample design strategies include (1) complete sampling of targets within households, (2) oversampling selected macrogeographic units, and (3) oversampling from an incomplete list frame. Stage (1) is promising for Chinese and AI/AN; (2) works for both groups, but it would be more cost-effective for AI/AN because of their greater residential concentration; (3) is somewhat effective for groups like Chinese with viable surname lists, but not for AI/AN. Both (2) and (3) efficiently improve measurement precision when the supplement is the same size as the existing core sample, with diminishing additional returns as the supplement grows relative to the core sample, especially for (3). To avoid large design effects, the oversampled geographic areas or lists must have good coverage of the target population. To reduce costs, oversampled geographic tracts and lists must consist primarily of targets. These techniques can be used simultaneously to substantially increase effective sample sizes (ESSs). For example, (1) and (2) in combination can be used to multiply the nominal sample size of AI/AN or Chinese by 8 and the ESS by 4. Copyright © 2008 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/60911/1/3244_ftp.pd

Hopelessness, Depression, and Early Markers of Endothelial Dysfunction in US Adults

To examine whether the psychological traits of hopelessness and depressive symptoms are related to endothelial dysfunction. Methods: Data are derived from a subsample of 434 respondents in the 2001 to 2003 Chicago Community Adult Health Study, a population-based survey designed to study the impact of psychological attributes, neighborhood environment, and socioeconomic circumstances on adults aged 18 years. Circulating biomarkers of endothelial dysfunction, including e-selectin, p-selectin, and soluble intercellular adhesion molecule-1 (s-ICAM1) were obtained from serum samples. Hopelessness was measured by responses to two questions, and depressive symptoms were measured by an 11-item version of the Center for Epidemiological Studies Depression scale. Multivariate regression models tested whether continuous levels of the biomarkers (natural log transformed) were associated with levels of hopelessness and depressive symptoms separately and concurrently. Results: In age- and sex-adjusted models, hopelessness showed significant positive linear associations with s-ICAM1. In contrast, there was no significant linear association between hopelessness and e-selectin and p-selectin. Adjustment for clinical risk factors, including systolic pressure, chronic health conditions, smoking, and body mass index, did not substantively alter these associations. Results from similar models for depressive symptoms did not reveal any association with the three biomarkers of endothelial dysfunction. The associations between hopelessness and e-selectin and s-ICAM1 were robust to the inclusion of adjustments for depressive symptoms. Conclusions: Negative psychosocial traits may influence cardiovascular outcomes partially through their impact on the early stages of atherosclerosis, and specific psychosocial traits, such as hopelessness, may play a more direct role in this process than overall depressive symptoms.NIHPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79036/1/Do_et_al..pd

Neighborhood context and ethnicity differences in body mass index: A multilevel analysis using the NHANES III (1988-1994)

A growing body of literature has documented a link between neighborhood context and health outcomes. However, little is known about the relationship between neighborhood context and body mass index (BMI) or whether the association between neighborhood context and BMI differs by ethnicity. This paper investigates several neighborhood characteristics as potential explanatory factors for the variation of BMI across the United States; further, this paper explores to what extent segregation and the concentration of disadvantage across neighborhoods help explain ethnic disparities in BMI. Using data geo-coded at the census tract-level and linked with individual-level data from the Third National Health and Examination Survey in the United States (U.S.), we find significant variation in BMI across U.S. neighborhoods. In addition, neighborhood characteristics have a significant association with body mass and partially explain ethnic disparities in BMI, net of individual-level adjustments. These data also reveal evidence that ethnic enclaves are not in fact advantageous for the body mass index of Hispanics - a relationship counter to what has been documented for other health outcomes