Racial differences in functional status among elderly U.S. migrants from the South

Healthy Behavior Adherence: The National Health and Nutrition Examination Survey, 2005-2016

INTRODUCTION

Leading public health institutions recommend participation in several evidence-based behaviors, including exercise, a healthy diet, and maintenance of a normal BMI while simultaneously avoiding cigarette smoking and excessive alcohol consumption. The investigators attempted to evaluate the collective adherence to these recommendations and population trends in these behaviors by evaluating nationally representative surveys over a period of 12 years.

METHODS

In 2019, the data from 26,194 National Health and Examination Survey participants who provided answers to survey questions regarding diet, physical activity, and usage of cigarettes and alcohol were analyzed. BMI was obtained from the examination data. Adherence to each behavior and the constellation of all 5 behaviors was assessed and tracked over a 12-year timeframe.

RESULTS

The smoking rates (p=0.01) and adherence to a healthy BMI declined over time (p=0.03). The total percentage of subjects who participated in all 5 behaviors ranged from 4.4% to 6.3%, whereas subjects who performed 2 or fewer behaviors ranged from 45.4% to 48.3%. Greater education (p<0.0001), higher SES (p<0.0001), and being a female participant (p<0.0001) predicted higher behavior scores.

CONCLUSIONS

Only 1 in 5 Americans engage in 4 or more healthy behaviors, whereas almost half of them participate in fewer than 3 healthy behaviors. Increased participation in numerous healthy behaviors can decrease premature mortality, decrease the burden of chronic diseases, improve life quality, and provide substantial economic benefits. A public health practice of targeting a constellation of behaviors as opposed to individual behaviors is needed.

Interrelationships of Cadmium, Smoking, and Angina in the National Health and Nutrition Examination Survey, a Cross-Sectional Study

The interrelationships between cadmium biomarker levels, smoking, and myocardial infarction and stroke have been established. In this cross-sectional analysis, we explored the interrelationships of blood cadmium levels, smoking, and angina. We analyzed the National Health and Nutrition Examination Survey (NHANES, 2003-2014) accounting for the multi-staged complex sampling design. Participants 40-79 years of age with blood cadmium levels but without a history of myocardial infarction and/or stroke were included (n = 14,832). We examined blood cadmium levels (3 tertile groups) in relation to 3 (diagnosed, undiagnosed, and composite diagnosed and/or undiagnosed) angina outcomes. Multivariable logistic regression models adjusted for age, diabetes, smoking status, and household income were used to estimate odds ratios (ORs) and their corresponding 95% confidence intervals (CIs). Of 14,832 participants, 741 (4.2%) had positive composite angina. The crude and adjusted ORs comparing those in the lowest tertile (referent group) of blood cadmium to those in the highest tertile for the composite outcome were 1.82 (95% CI 1.42-2.34) and 1.45 (95% CI 1.12-1.88), respectively. These cross-sectional data from a nationally representative sample contribute to the hypothesis that there are interrelationships between smoking, cadmium, and angina.

Do U.S. states' socioeconomic and policy contexts shape adult disability?

Growing disparities in adult mortality across U.S. states point to the importance of assessing disparities in other domains of health. Here, we estimate state-level differences in disability, and draw on the WHO socio-ecological framework to assess the role of ecological factors in explaining these differences. Our study is based on data from 5.5 million adults aged 25-94 years in the 2010-2014 waves of the American Community Survey. Disability is defined as difficulty with mobility, independent living, self-care, vision, hearing, or cognition. We first provide estimates of age-standardized and age-specific disability prevalence by state. We then estimate multilevel models to assess how states' socioeconomic and policy contexts shape the probability of having a disability. Age-standardized disability prevalence differs markedly by state, from 12.9% in North Dakota and Minnesota to 23.5% in West Virginia. Disability was lower in states with stronger economic output, more income equality, longer histories of tax credits for low-income workers, and higher cigarette taxes (for middle-age women), net of individuals' socio-demographic characteristics. States' socioeconomic and policy contexts appear particularly important for older adults. Findings underscore the importance of socio-ecological influences on disability.

Interrelation of Cadmium, Smoking, and Cardiovascular Disease (from the National Health and Nutrition Examination Survey)

Cadmium biomarker levels are associated with both cigarette smoking and cardiovascular disease. In this cross-sectional survey, we explore whether the association between cadmium and cardiovascular disease differs between cigarette smoking states. A cross-sectional analysis using the National Health and Nutrition Examination Survey in 2003 to 2012 was performed accounting for the nationally representative complex sampling design. All participants 45 to 79 years old with blood and urinary cadmium levels were included (n = 12,511). We explored the inter-relationships of blood and urine cadmium levels with cigarette smoking and a composite cardiovascular outcome that included self-reported myocardial infarction or stroke or both. We used multivariable logistic regressing models to further adjust for age, income, gender, hypercholesterolemia, body mass index, diabetes, smoking intensity, and time period of smoking cessation. Of the 12,511 participants, 1,330 (8.5%) had previous myocardial infarction or stroke or both. The crude prevalence ratio (PR) comparing those in the lowest tertile of blood cadmium with those in the highest tertile for the composite outcome was 1.73 (95% confidence interval [CI] 1.49 to 2.01). After adjustment for age, gender, income, self-reported diabetes, self-reported hypercholesterolemia, body mass index, and smoking status, the PR was 1.54 (95% CI 1.30 to 1.84). The adjusted PRs for each smoking subgroup were 1.54 (95% CI 1.09 to 2.18) for never-smokers, 1.57 (95% CI 1.11 to 2.23) for current smokers, and 1.31 (95% CI 0.96 to 1.78) for former smokers. These descriptive data from a nationally representative sample suggest that cadmium is related to cardiovascular outcomes even after adjustment for smoking status.

A cross-sectional survey of cadmium biomarkers and cigarette smoking

Cadmium contamination of tobacco may contribute to the health hazards of cigarette smoking. The 2005-2012 United States National Health and Nutrition Examination Survey data provided a unique opportunity to conduct a cross-sectional survey of cadmium biomarkers and cigarette smoking. Among a sample of 6761 participants, we evaluated mean differences and correlations between cadmium biomarkers in the blood and urine and characteristics of never, former and current smokers. We found statistically significant differences in mean cadmium biomarker levels between never and former smokers as well as between never and current smokers. In current smokers, duration in years had a higher correlation coefficient with urinary than blood cadmium levels. In contrast, number of cigarettes smoked per day had a higher correlation coefficient with blood than urinary cadmium levels. These data suggest that blood and urine cadmium biomarker levels differ by duration and dose. These findings should be considered in evaluating any association between cadmium and smoking related diseases, especially cardiovascular disease.

Sexual orientation, internal migration, and mental health during the transition to adulthood

Previous research has suggested that sexual minorities may have higher rates of migration than heterosexuals, indicating their effort to escape stigma in the currently residing areas. However, direct evidence for the migration pattern has been lacking, and mental health implications of such coping effort have been unclear. This study seeks to fill these gaps in the literature by analyzing the Add Health data, which include longitudinal measures of residential locations, sexual orientation, and mental health. The analysis focuses on the transition to adulthood, when the rate of internal migration peaks. Among women, sexual minorities have a higher rate of migration than heterosexuals, but men do not show such a difference. Sexual minorities show better mental health when they migrate to counties with higher proportions of people living in urban areas whereas heterosexuals do not show such an association. Among sexual minority men, migration to counties with higher population density and higher proportions of college-educated residents is also linked to better mental health.

Geographical variation in health-related quality of life among older US adults, 1997-2010

Introduction

Health-related quality of life (HRQOL) is an important predictor of morbidity and mortality; however, its geographical variation in older adults in the United States has not been characterized. We compared HRQOL among older adults in the 50 US states and the District of Columbia using the Health and Activities Limitation Index (HALex). We also compared the HRQOL of 4 regions: South, West, Midwest, and Northeast.

Methods

We analyzed pooled data from 1997 through 2010 from the National Health Interview Survey for participants aged 65 or older. HALex scores (which range from 0 to 1.00, with higher values indicating better health) were calculated by combining data on participants’ perceived health and activity limitations. We ranked states by mean HALex score and performed multivariable logistic regression analyses to compare low scores (defined as scores in the lowest quintile) among US regions after adjustment for sociodemographics, health behaviors, and survey design.

Results

Older residents of Alaska, Alabama, Arkansas, Mississippi, and West Virginia had the lowest mean HALex scores (range, 0.62–0.68); residents of Arizona, Delaware, Nevada, New Hampshire, and Vermont had the highest mean scores (range, 0.78–0.79). Residents in the Northeast (odds ratio [OR], 0.66; 95% confidence interval [CI], 0.57–0.76) and the Midwest (OR, 64; 95% CI, 0.56–0.73) were less likely than residents in the South to have scores in the lowest quintile after adjustment for sociodemographics, health behaviors, and survey design.

Conclusion

Significant regional differences exist in HRQOL of older Americans. Future research could provide policy makers with information on improving HRQOL of older Americans.

Length of residence and social integration: the contingent effects of neighborhood poverty

Given the well-established benefits of social integration for physical and mental health, studies have begun to explore how access to social ties and social support may be shaped by the residential context in which people live. As a critical health exposure, social integration may be one important mechanism by which places affect health. This paper brings together research on two previously studied contextual determinants of social integration. Specifically, we use multi-level data from the Chicago Community Adult Health Survey to investigate the relationships between an individual's length of residence and measures of social integration. We then investigate the extent to which these relationships are moderated by neighborhood poverty. We find that the relationship between length of residence and some measures of social integration are stronger in poor neighborhoods than in more affluent ones.

Length of residence and social integration: the contingent effects of neighborhood poverty

Given the well-established benefits of social integration for physical and mental health, studies have begun to explore how access to social ties and social support may be shaped by the residential context in which people live. As a critical health exposure, social integration may be one important mechanism by which places affect health. This paper brings together research on two previously studied contextual determinants of social integration. Specifically, we use multi-level data from the Chicago Community Adult Health Survey to investigate the relationships between an individual's length of residence and measures of social integration. We then investigate the extent to which these relationships are moderated by neighborhood poverty. We find that the relationship between length of residence and some measures of social integration are stronger in poor neighborhoods than in more affluent ones.

Mortality by education level at late-adult ages in Turin: a survival analysis using frailty models with period and cohort approaches

OBJECTIVES

Neglecting the presence of unobserved heterogeneity in survival analysis models has been showed to potentially lead to underestimating the effect of the covariates included in the analysis. This study aimed to investigate the role of unobserved heterogeneity of frailty on the estimation of mortality differentials from age 50 on by education level.

DESIGN

Longitudinal mortality follow-up of the census-based Turin population linked with the city registry office.

SETTING

Italian North-Western city of Turin, observation window 1971-2007.

POPULATION

391 170 men and 456 216 women followed from age 50.

PRIMARY OUTCOME MEASURES

Mortality rate ratios obtained from survival analysis regression. Models were estimated with and without the component of unobserved heterogeneity of frailty and controlling for mortality improvement over time from both cohort and period perspectives.

RESULTS

In the majority of cases, the models without frailty estimated a smaller educational gradient than the models with frailty.

CONCLUSIONS

The results draw the attention of the potential underestimation of the mortality inequalities by socioeconomic levels in survival analysis models when not controlling for unobserved heterogeneity of frailty.

Geographical variations in elderly disability in Taiwan

Inequality in health has long been a topic of discussion. The purpose of this research was to provide estimates of the proportions of elderly who had difficulties in activities of daily living in each of the 23 administrative areas of Taiwan, and to assess if there was geographical disparity in disability across areas. A nationally representative sample of 303,545 subjects was selected for interview. Among the subjects selected for interview, 239,861 completed the survey, a completion rate of about 80%. For the purpose of this research, only those aged 65 years or older were included (N = 114,873) in the analyses. Non-standardized and standardized prevalences of disability were presented for each of the 23 administrative areas in Taiwan, and geographical distribution of elderly disability was plotted. Results show that significant difference in disability prevalence exists among administrative districts, even after adjusting for age and sex structure of the population. Moreover, the extent of gender disparity also varied from one area to another. The western region, in general, had lower disability prevalence than the eastern region. Findings imply that since disability prevalence varied significantly across administrative areas, funding for long-term care should not be allocated based on the number of elderly population in an administrative area. Areas with high prevalence should identify reasons for their high prevalence rates and implement proper interventions.

Declines in late-life disability: the role of early- and mid-life factors

Investigations into the reasons for declines in late-life disability have largely focused on the role of contemporaneous factors. Adopting a life-course perspective as a backdrop, in this paper we ask whether there also has been a role for selected early- and mid-life factors in the decline, and if so whether these factors have been operating through changes in the risks of disability onset or recovery. Drawing on five waves from 1995 to 2004 of the U.S. Health and Retirement Study, we found for the 75 years and older population in the United States that the prevalence of difficulty with activities of daily living (ADL) declined from 30.2% in 1995 to 26.0% in 2004, whereas the trend in difficulty with instrumental activities of daily living (IADL) was flat. Onset of ADL limitations also was reduced during this period while recovery increased. Changes in the educational composition of the older population were linked to declines in the prevalence of ADL limitations, but there were also modest contributions of changes in mother's education, self-rated childhood health, and lifetime occupation. Declines in late-life vision impairments and increases in wealth also contributed substantially to the downward trend, and had chronic conditions not increased, it would have been even larger. Reductions in the onset of ADL limitations were partly driven by changes in educational attainment of respondents and their mothers and, in late-life, better vision and wealth. In contrast, the recovery trend was not accounted for by changes in early- or mid-life factors. We conclude that early- and mid-life factors have contributed along with late-life factors to U.S. late-life disability trends mainly through their influence on the onset of, rather than recovery from, limitations.

Clarifying the relationships between health and residential mobility

Health-selective migration within countries has been implicated as one of the mechanisms by which spatial disadvantage is created and maintained. However, there is conflicting evidence on the nature of the relationship between health and mobility, caused in part by diverse definitions, and age and sex differences. This paper uses the first two waves of data for the middle-aged cohort (aged 45-50 in 1996) of the Australian Longitudinal Study on Women's Health to investigate the relationship between four sets of health variables with subsequent local moves (within the same postcode), longer distance moves (between postcodes) and inter-regional migration from rural and remote areas 'up' the urban hierarchy. After adjusting for socio-economic and marital status, short and longer distance mobility among these middle-aged Australian women was positively associated with long-term and chronic poor health and being a smoker. Moves between postcodes and rural-to-urban migration were positively associated with multiple recent visits to a medical specialist. Our findings are consistent with UK and US studies that have found mobility to be more strongly associated with poor health than good health in mature adults. As the population ages, the health of receiving areas may be adversely affected by relatively unhealthy in-migrants seeking amenities not provided in their former place of residence.

Spatial Analysis of Body Mass Index and Smoking Behavior among WISEWOMAN Participants

BACKGROUND

The WISEWOMAN program focuses on reducing cardiovascular disease (CVD) risk factors by providing screening and lifestyle interventions for many low-income and uninsured women. To provide the most effective interventions possible, it is important to understand the characteristics of WISEWOMAN participants and their communities.

METHODS

We used baseline data collected for WISEWOMAN participants from five states (Connecticut, Michigan, Nebraska, North Carolina, and South Dakota) who had enrolled in WISEWOMAN between January 2001 and December 2002 in order to examine body mass index (BMI) and smoking behavior for evidence of spatial clustering. We then examined whether neighborhood characteristics in clusters of high-risk factors differed from neighborhood characteristics in other locations.

RESULTS

Six percent of the WISEWOMAN participants lived in ZIP codes with high-BMI clusters, and 4% lived in ZIP codes with high-smoking clusters. High-BMI and high-smoking clusters occurred, however, in different locations from each other. The high-BMI-clustered ZIP codes were, on average, located in more disadvantaged areas. Most of the differences between the high-smoking-clustered ZIP codes and the remaining ZIP codes were not statistically significant.

CONCLUSIONS

Our analysis revealed spatial clustering in CVD risk factors among WISE-WOMAN participants. We also found evidence of a correlation between high-BMI clusters and low socioeconomic status of the surrounding community. A more in-depth analysis of the relationship between risk factors (e.g., BMI) and community characteristics in clustered locations will provide further information concerning the role of the community in affecting individual behavior and should allow for tailoring interventions to reduce these risk factors more effectively.

Addressing urban health in Detroit, New York City, and Seattle through community-based participatory research partnerships

OBJECTIVE

This study describes key activities integral to the development of 3 community-based participatory research (CBPR) partnerships.

METHODS

We compared findings from individual case studies conducted at 3 urban research centers (URCs) to identify crosscutting adaptations of a CBPR approach in the first 4 years of the partnerships' development.

RESULTS

Activities critical in partnership development include sharing decision-making, defining principles of collaboration, establishing research priorities, and securing funding. Intermediate outcomes were sustained CBPR partnerships, trust within the partnerships, public health research programs, and increased capacity to conduct CBPR. Challenges included the time needed for meaningful collaboration, concerns regarding sustainable funding, and issues related to institutional racism.

CONCLUSIONS

The URC experiences suggest that CBPR can be successfully implemented in diverse settings.

Regional differences in functional status among the aged

This study investigated regional differences in functional status among aged Medicare beneficiaries in the United States, and the degree to which population risk factors and certain geographic/environmental attributes of communities accounted for the regional differences. Four years of the Medicare Current Beneficiary Survey (1992-1995) were pooled together yielding 37,150 person-year observations of functional status for a sample of aged Medicare beneficiaries residing in the community or nursing homes. Multinomial logit models, estimated on a four-category functional status scale, produced strong empirical evidence of substantial regional differences in the prevalence of functional independence, functional limitations, IADL limitations, and ADL limitations, that could not be attributed to regional population composition, socio-demographic factors, lifestyle characteristics, and chronic medical conditions. Although such population risk factors accounted for much of the regional variations in functional status among older men, the notably higher prevalence of IADL and ADL limitations among older women residing in the Deep South could not be similarly attributed to such risk factors. Rather, the empirical results suggest that a significant portion of the harmful effects associated with residence in the Deep South among older women may be attributed to a higher prevalence of residence in counties characterized by lower population density and/or higher poverty concentration.