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Does gender inequity increase men's mortality risk in the United States? A multilevel analysis of data from the National Longitudinal Mortality Study.

ABSTRACT: A number of theoretical approaches suggest that gender inequity may give rise to health risks for men. This study undertook a multilevel analysis to ascertain if state-level measures of gender inequity are predictors of men's mortality in the United States. Data for the analysis were taken primarily from the National Longitudinal Mortality Study, which is based on a random sample of the non-institutionalised population. The full data set included 174,703 individuals nested within 50 states and had a six-year follow-up for mortality. Gender inequity was measured by nine variables: higher education, reproductive rights, abortion provider access, elected office, management, business ownership, labour force participation, earnings and relative poverty. Covariates at the individual level were age, income, education, race/ethnicity, marital status and employment status. Covariates at the state level were income inequality and per capita gross domestic product. The results of logistic multilevel modelling showed a number of measures of state-level gender inequity were significantly associated with men's mortality. In all of these cases greater gender inequity was associated with an increased mortality risk. In fully adjusted models for all-age adult men the elected office (OR 1.05 95% CI 1.01-1.09), business ownership (OR 1.04 95% CI 1.01-1.08), earnings (OR 1.04 95% CI 1.01-1.08) and relative poverty (OR 1.07 95% CI 1.03-1.10) measures all showed statistically significant effects for each 1 standard deviation increase in the gender inequity z-score. Similar effects were seen for working-age men. In older men (65+ years) only the earnings and relative poverty measures were statistically significant. This study provides evidence that gender inequity may increase men's health risks. The effect sizes while small are large enough across the range of gender inequity identified to have important population health implications.

SUBMITTER: Kavanagh SA

PROVIDER: S-EPMC5769061 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Does gender inequity increase men's mortality risk in the United States? A multilevel analysis of data from the National Longitudinal Mortality Study.

Kavanagh Shane A SA Shelley Julia M JM Stevenson Christopher C

SSM - population health 20170324

A number of theoretical approaches suggest that gender inequity may give rise to health risks for men. This study undertook a multilevel analysis to ascertain if state-level measures of gender inequity are predictors of men's mortality in the United States. Data for the analysis were taken primarily from the National Longitudinal Mortality Study, which is based on a random sample of the non-institutionalised population. The full data set included 174,703 individuals nested within 50 states and h ...[more]

PMID: 29349229

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Project description:Background: Chronic obstructive pulmonary disease (COPD) remains a leading cause of disability and death in the United States. The "COPD in the United States" project gathered data about the impact of COPD to highlight variability across states and provide a single point of access to data for state decision makers, the public health community and advocates. This report provides a summary of COPD-related morbidity and mortality in the United States and individual states during 2014-2015 (some metrics contain data from other years). Methods: We used data from multiple sources ( the Behavioral Risk Factor Surveillance System [BRFSS], the Centers for Disease Control and Prevention (CDC) Wide-ranging ONline Data for Epidemiologic Research online database, the CDC's chronic disease indicators data, Centers from Medicare and Medicaid Services Chronic Conditions Data Warehouse, Medical Expenditures Panel Survey and the American Association of Cardiovascular and Pulmonary Rehabilitation Pulmonary Rehabilitation Directory) to estimate 10 national and state-specific COPD metrics (prevalence, hospitalizations and emergency department visits, 30-day hospital readmissions, mortality, vaccinations, smoking prevalence, per capita medical cost, and the number of COPD patients per a pulmonary rehabilitation program) and to calculate average score across the 10 metrics. Additionally, we used BRFSS data to calculate the prevalence of common comorbid diseases among people who also report having a diagnosis of COPD. Results: During 2014-2015, 5.9% of adults (more than 15.9 million) reported having been told by their health care professional that they had COPD. The age-adjusted prevalence ranged from 3.7% for Puerto Rico and Hawaii, to 12% for West Virginia. The average score, 1 being best and 5 being worst, of the overall COPD burden based on the 10 key metrics ranged from 1.5 for Puerto Rico and Utah to 4.6 for West Virginia. Conclusion: The level of COPD morbidity and mortality is severe throughout the United States. There is considerable variability in COPD metrics by state. These differences may be useful in identifying and addressing policy gaps in the public health approach to COPD and in implementing the COPD National Action Plan.

Dataset Information

Does gender inequity increase men's mortality risk in the United States? A multilevel analysis of data from the National Longitudinal Mortality Study.

Publications

Does gender inequity increase men's mortality risk in the United States? A multilevel analysis of data from the National Longitudinal Mortality Study.

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