Evidence map›Paper›PMID 42856852›Full record

ArticleSafety and health at work2026

Associations Between Weekly Commute Time, Weekday Sleep Duration, and Driving Fatigue Among Working Adults in Israel.

Ronit Pinchas-Mizrachi, Sara Cohen, Dan Bouhnik, Raz Dekel

Abstract read
In one paragraph

Article in Safety and health at work, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ronit Pinchas-MizrachiDepartment of Nursing, Jerusalem College of Technology (JCT), Jerusalem, Israel.
Sara CohenDepartment of Nursing, Jerusalem College of Technology (JCT), Jerusalem, Israel.
Dan BouhnikDepartment of Nursing, Jerusalem College of Technology (JCT), Jerusalem, Israel.
Raz DekelAdministration for Occupational Safety and Health, Ministry of Labor, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long commutes are recognized as an occupational health risk and road safety risk. In high-traffic countries, prolonged commuting may represent a potentially significant yet underexplored public health concern, particularly with respect to gender-specific vulnerability patterns. This study thus examines the association between weekly commute time, weekday sleep duration, and driving fatigue via a gender-based analysis. Methods: Data relating to 3,387 employed adults were drawn from the 2023 Israel Social Survey. Long commuting was defined as ≥15 hours/week; 20.2% of the survey respondents were long commuters, 54.7% were women, and 45.3% were men. Outcomes measured included insufficient sleep duration (<6.5 hours) and self-reported driving fatigue. Multivariable logistic regression models were stratified by gender and adjusted for demographic and work-related variables. Results: Long commuting was linked to insufficient sleep duration [odds ratio (OR) = 1.56] and increased driving fatigue (OR = 1.71) among women and with driving fatigue (OR = 2.13) but not significantly with sleep duration among men. Health behaviors differed according to gender, with women with long commutes engaging in more physical activity (46.2% vs. 40.3%) and exhibiting lower obesity rates (18.1% vs. 19.3%) and men being less active, more obese, and smoking more frequently. Conclusion: Extended weekly commuting appears to be an independent gender-specific occupational health risk factor, exerting effects on sleep, fatigue, and health behaviors. Women report more sleep disruption, while men experience higher fatigue and adverse health behaviors. These findings highlight the need for gender-sensitive health interventions, flexible work policies, improved transportation infrastructure, and recognition of commuting as an important modifiable determinant of worker health.

Indexed as

Commutingdriving fatiguegender differencesoccupational healthsleep deprivation

Identifiers

PMID42856852
PMCPMC13650338

What OpenQuestion holds

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Registered trials

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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.