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Published on: August 8, 2019
Disparities in sleep-wake patterns by labor force status: Population-based findings
Xiru Lyu1,2, Galit Levi Dunietz2, Louise M O'Brien2
1Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA.
Losing employment shifts sleep patterns, causing later bedtimes and increased napping. These sleep changes, particularly in wake times, are more pronounced for Hispanic individuals and those with higher education when moving from employed to unemployed status.
Area of Science:
- Sleep Science
- Sociology
- Public Health
Background:
- Sleep disturbances are linked to unemployment.
- Variations in sleep-wake patterns based on labor force status require further investigation.
- Sociodemographic factors may influence these sleep disparities.
Purpose of the Study:
- To examine sleep-wake pattern differences across employed, unemployed, and not-in-the-labor-force groups.
- To investigate how sociodemographic variables moderate the relationship between labor force status and sleep patterns.
- To predict changes in sleep-wake patterns associated with transitions in labor force status.
Main Methods:
- Analysis of a large population-based sample (130,602 adults aged 25-60) from the American Time Use Survey (2003-2019).
- Extraction of individual sleep-wake patterns from 24-hour time use logs.
- Application of functional nonparametric regression models to assess associations and predict pattern shifts.
Main Results:
- Unemployed and not-in-the-labor-force individuals exhibited later wake times, later bedtimes, and a greater tendency for midday naps compared to employed individuals.
- Transitions in labor force status resulted in more significant alterations in wake times than in bedtimes.
- Hispanic individuals and those with higher educational attainment showed greater vulnerability in sleep schedules during transitions from employment to unemployment.
Conclusions:
- Labor force status significantly impacts sleep-wake patterns, including timing and napping behavior.
- Sociodemographic factors like race/ethnicity and education level can exacerbate sleep schedule disruptions associated with unemployment.
- Understanding these dynamics is crucial for public health interventions aimed at mitigating the negative consequences of job loss on sleep and overall well-being.
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