ArticleEuropean journal of public health2023
Time use, time pressure and sleep: is gender an effect modifier?
Article in European journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Gendered time use among specializing medical doctors at Makerere University, Uganda: a cross-sectional study.Global health action · 2026Article
- Chronic time pressure as a predictor of symptoms of depression, anxiety and stress.BMC psychology · 2025Article
- Intersectional sleep disparities: association between multiple social intersections, perceived neighborhood deprivation, and sleep disturbance in Europe.European journal of public health · 2025Article
- Association between sleep duration and disability in activities of daily living among Chinese older adults: a nationwide observational study.Frontiers in public health · 2025Observational
- The relationship between time anxiety and college students' sleep quality: the mediating role of irrational procrastination and the moderating effect of physical activity.Frontiers in psychology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe gendered division of labour contributes to differences in the way time is spent and experienced by women and men. Time spent in paid and unpaid labour is associated with sleep outcomes, therefore, we examined (i) the relationships between time use and time pressure, and sleep, and (ii) whether these relationships were modified by gender.
methodsAdults from the Household Income and Labour Dynamics in Australia survey were included in the analysis (N = 7611). Two measures of time use (total time commitments, ≥50% of time spent in paid work) were calculated based on estimates of time spent in different activities. One measure of time pressure was also included. Three sleep outcomes (quality, duration and difficulties) were examined. Logistic regression and effect measure modification analyses were employed.
resultsTotal time commitments were associated with sleep duration, whereby more hours of total time commitments were associated with an increase in the odds of reporting <7 h sleep. Gender was an effect modifier of the association between ≥50% of time spent in paid work and (i) sleep duration on the multiplicative scale, and (ii) sleep difficulties on the multiplicative and additive scales. Men who spent <50% of time in paid work reported more sleep difficulties than men who spent ≥50% of time spent in paid work. Feeling time pressured was associated with poor sleep quality, short sleep duration and sleep difficulties.
conclusionsTime use and time pressure were associated with sleep, with some effects experienced differently for men and women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.