Abstract
Objectives: To document sleep duration differences between rural and nonrural adults in middle/older adulthood. Methods: Data consisted of adults aged 50-80 from the 2014, 2016, 2018, and 2020 Behavioral Risk Factor Surveillance System (n = 669,978). Hierarchical multinomial logistic regression models were fit predicting self-reported short (ie, 6 or fewer hours per 24-hour period) and long (ie, 9 or more hours per 24-hour period) compared to normal-sleep duration (ie, 7-8 hours per 24-hour period). Results: Rural adults aged 50+ had slightly but significantly lower levels of short sleep (30.0% vs. 30.8%), and slightly but significantly higher levels of long sleep (10.6% vs. 9.4%). In multinomial logistic models that accounted for demographics, rural adults had significantly higher levels of long sleep (OR 1.16, 95% CI 1.12-1.21). The long-sleep differences were explained by socioeconomic measures. Conclusions: Sleep researchers should continue to investigate and conceptualize sleeping patterns and heterogeneity among rural adults.
Original language | English (US) |
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Pages (from-to) | 237-239 |
Number of pages | 3 |
Journal | Sleep Health |
Volume | 10 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2024 |
Externally published | Yes |
Keywords
- Behavioral Risk Factor Surveillance System
- Multinomial logistic models
- Rural health
- Sleep duration
ASJC Scopus subject areas
- Health(social science)
- Neuropsychology and Physiological Psychology
- Social Sciences (miscellaneous)
- Behavioral Neuroscience