Evidence map›Paper›PMID 41272520›Full record

ArticleBMC public health2025

Trends and determinants of adverse working conditions among employed women in Australia: a 20-year analysis.

Haimanot Abebe Adane, Ross Iles, Jacqueline A Boyle, Luke R Sheehan, Alex Collie

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haimanot Abebe AdaneHealthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia. haimanot.adane@monash.edu.
Ross IlesHealthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
Jacqueline A BoyleEastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
Luke R SheehanHealthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
Alex CollieHealthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelatively little is known about changes in women's working conditions despite increases in labour force participation in recent decades. This study examines trends in adverse working conditions among Australian women in paid employment and identifies the factors associated with adverse working conditions.

methodsLongitudinal population-based data from the Australian Longitudinal Study on Women's Health, following a cohort of women aged 18-23 years at baseline (1996) through to ages 40-45 years (2018). Mixed-effect regression examined the factors associated with long working hours and shift work.

resultsThe proportion of women working long hours increased from 23.7% in 1996 to 36.1% in 2018. By 2018, women had 1.77 times higher odds of working long hours compared to 1996 (95% CI: 1.58-1.97). Factors associated with long working hours included a degree/higher degree [AOR 1.91, 95%CI, 1.76-2.07]and being non-partnered [AOR 1.45, 95%CI, 1.37-1.53]. The proportion of women engaged in shift work declined from 24.9% in 1996 to 10.1% in 2018. By 2018, the adjusted odds of working shifts were significantly lower than in 1996 [AOR: 0.20 (95% CI: 0.16-0.24)]. Factors associated with a higher likelihood of shift work included blue-collar occupation [AOR 1.41, 95%CI, 1.06-1.33], and holding a degree/higher degree [AOR 1.27, 95%CI, 1.10-1.45].

conclusionBetween 1996 and 2018, working conditions for a cohort of Australian women of reproductive age changed significantly. There was a notable decline in shift and night work, alongside a significant increase in long working hours. The results likely reflect a combination of modified working conditions, women's career transitions and changes in personal/caring responsibilities. The potential health implications of long working hours require careful monitoring.

Indexed as

EmploymentWomen, WorkingAdolescentAdultAustraliaFemaleHumansLongitudinal StudiesMiddle AgedWomen's HealthWorking ConditionsWork Schedule ToleranceYoung AdultAdverse working conditionsAustraliaOccupational healthWomenWork

Identifiers

PMID41272520
PMCPMC12639661

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LicenceCC BY-NC-ND
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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.