Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults

Sleep is a crucial determinant of physical and mental health outcomes, and insufficient sleep is highly prevalent among United States adults. Although some risk factors of poor sleep have been extensively studied, including substance use, age, health behaviors, and others, the associations between s...

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Bibliographic Details
Published in:BMC public health 2024-12, Vol.24 (1), p.3410-9
Main Authors: Wetzel, Sarah, Bilal, Usama
Format: Article
Language:English
Subjects:
Adult
Adults
Aged
Analysis
Cross-Sectional Studies
Female
Food supply
Health aspects
Health surveys
Humans
Male
Mental health
Middle Aged
Nutrition Surveys
Poverty
Poverty - statistics & numerical data
Risk factors
Self Report
Sleep
Sleep deprivation
Sleep Duration
Sleep health
Social aspects
Social Class
Social classes
Socioeconomic status
Substance abuse
Surveys
Time Factors
United States
United States - epidemiology
Young Adult
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Summary:Sleep is a crucial determinant of physical and mental health outcomes, and insufficient sleep is highly prevalent among United States adults. Although some risk factors of poor sleep have been extensively studied, including substance use, age, health behaviors, and others, the associations between socioeconomic status (SES) and sleep remain inconclusive. There is limited evidence on SES and sleep duration among the US adult population. This study analyzed the relationships between three SES indicators (poverty, education, and food security), and sleep duration. We used responses from the 2017-March 2020 National Health and Nutrition Examination Survey (NHANES). Respondents younger than 25 years old were excluded. Sleep duration was classified using self-reported sleep time and stratified by work vs. non-workdays. SES was operationalized using three indicators: poverty-income ratio, educational attainment, and food security status. We imputed missing data for socioeconomic status and outcome variables using multiple imputation. Weighted Poisson regression models with robust standard errors were used to calculate the crude and adjusted prevalence ratios for insufficient sleep duration (
ISSN:1471-2458
1471-2458
DOI:10.1186/s12889-024-20977-w