Do Long Workhours Impact Health, Safety, and Productivity at a Heavy Manufacturer?

Allen, Harris; Slavin, Thomas J.; Bunn, William B.

doi:10.1097/jom.0b013e31802f09ee

Cited by 39 publications

(37 citation statements)

References 19 publications

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“…Most earlier studies reported an increased risk of depression or poor mental health in relation to working long hours regardless of statistical significance (10-16, 19, 22, 24), while a few studies are consistent with findings of the present study (9,13,18). Two studies reported no association (17,20).…”

Section: Earlier Studiessupporting

confidence: 82%

“…Earlier studies have implied a potential relationship between long work hours and depression (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25), but several limitations preclude causal inference: (i) the application of a cross sectional study design in the majority of the studies (11)(12)(13)(14)(15)(16)(17) disguises the direction of association between long work hours and depression; (ii) the low response rates, ranging from 35-58%, (9-13, 15, 18, 19) increase the risk of selection bias; (iii) self-reporting of exposure (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) and outcome (9)(10)(11)(12)(13)…”

mentioning

confidence: 99%

“…A potential negative health effect of long work hours is the risk of depression (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25). It has been suggested that working long hours could result in sleep deprivation, lack of recovery from work, reduced time for non-work activities, injuries, and longer exposure to work demands and workplace hazards (1).…”

mentioning

confidence: 99%

See 2 more Smart Citations

With long hours of work, might depression then lurk? A nationwide prospective follow-up study among Danish senior medical consultants

Varma¹,

Marott²,

Stoltenberg³

et al. 2012

Scand J Work Environ Health

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Section: Earlier Studiessupporting

confidence: 82%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

With long hours of work, might depression then lurk? A nationwide prospective follow-up study among Danish senior medical consultants

Varma¹,

Marott²,

Stoltenberg³

et al. 2012

Scand J Work Environ Health

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“…We also excluded studies with overlapping data with selected studies (33)(34)(35)(36)(37)(38)(39)(40), those without adjustment for baseline mental health (41)(42)(43), and those prospective studies in which exposure and outcome were temporally overlapping (44,45). However, we performed a descriptive, qualitative analysis of studies which included prospective analysis with continuous outcomes rather than outcomes indicating onset of illness (46,47), a study with exposure treated as a continuous variable (48), longitudinal within-subject design with continuous outcomes (49), and broader mental health outcomes, such as antidepressant use (50, 51), all treated mental disorders (52), or disability claims due to all mental disorders (53). Results of these studies are presented in supplementary table B, www.sjweh.fi/show_abstract.php?abstract_id=3712.…”

Section: Literature Search Resultsmentioning

confidence: 99%

Long working hours and depressive symptoms: systematic review and meta-analysis of published studies and unpublished individual participant data

Virtanen¹,

Jokela²,

Madsen³

et al. 2018

Scand J Work Environ Health

165

111

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Objectives This systematic review and meta-analysis combined published study-level data and unpublished individual-participant data with the aim of quantifying the relation between long working hours and the onset of depressive symptoms. MethodsWe searched PubMed and Embase for published prospective cohort studies and included available cohorts with unpublished individual-participant data. We used a random-effects meta-analysis to calculate summary estimates across studies.Results We identified ten published cohort studies and included unpublished individual-participant data from 18 studies. In the majority of cohorts, long working hours was defined as working ≥55 hours per week. In multivariable-adjusted meta-analyses of 189 729 participants from 35 countries [96 275 men, 93 454 women, follow-up ranging from 1-5 years, 21 747 new-onset cases), there was an overall association of 1.14 (95% confidence interval (CI) 1.03-1.25] between long working hours and the onset of depressive symptoms, with significant evidence of heterogeneity (I 2 =45.1%, P=0.004). A strong association between working hours and depressive symptoms was found in Asian countries (1.50, 95% CI 1.13-2.01), a weaker association in Europe (1.11, 95% CI 1.00-1.22), and no association in North America (0.97, 95% CI 0.70-1.34) or Australia (0.95,. Differences by other characteristics were small. ConclusionsThis observational evidence suggests a moderate association between long working hours and onset of depressive symptoms in Asia and a small association in Europe.Key terms depression; mental health; overtime; psychological distress; working life; working time. Long working hours and depressive symptomsDepression is a leading cause of years lived with disability, contributing to a significant proportion of disease burden worldwide (1). Given that the burden of mental disorders peaks at working age (1), workingage populatio ns are an important target for prevention. There is growing evidence to suggest a link between work characteristics and the onset of depression, with perceived psychosocial work stress being the most often investigated work exposure (2-7).Recently, studies have also focused on long working hours as a potential risk factor for mental disorders (8). However, although several reviews of this field exist (5, 9-24), the few systematic quantifications of the evidence have been based on published cross-sectional (18,19,25) or published longitudinal studies (26). Given the potential publication bias in studies based on published data (27), an individual-participant metaanalysis of unpublished data would provide important complementary evidence to evaluate the effect of long working hours on mental health. Furthermore, long working hours are more common in Asia and North America than in Europe and the risk of mental health problems is higher among women and individuals with low socioeconomic position than men and those with high socioeconomic status. As determinants and mechanisms that harm and protect mental health may also vary by regio...

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“…The study concluded that fatigued employees cost U.S. employers $136.4 billion per year in health-related LPT-$101 billion more than workers without fatigue. The impact of long hours of work and fatigue on health related problems and injuries ranging from minor workplace incidents to severe accidents has been studied in detail by Allen et al [3]. Fatigue induced accidents are also not new or never heard of.…”

Section: Introductionmentioning

confidence: 99%

A Non Intrusive Human Fatigue Monitoring System

Ali¹,

Sarkar²,

Kumar³

et al. 2012

IJFCC

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Abstract-An algorithm for the real time detection of human fatigue has been developed by using multiple fatigue parameters. In addition to existing metrics such as Blink rate and the PERCLOS, a third metric, the variation of head position and the tilt has been used in generating a cumulative measure of fatigue with non intrusive techniques of monitoring. The initial results obtained out of the simulation studies have been discussed in this paper with a stress on fatigue monitoring using variation in head position. The system was found to be sufficiently accurate and highly robust in prediction of fatigue under test situations for fatigue monitoring.

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Do Long Workhours Impact Health, Safety, and Productivity at a Heavy Manufacturer?

Cited by 39 publications

References 19 publications

With long hours of work, might depression then lurk? A nationwide prospective follow-up study among Danish senior medical consultants

With long hours of work, might depression then lurk? A nationwide prospective follow-up study among Danish senior medical consultants

Long working hours and depressive symptoms: systematic review and meta-analysis of published studies and unpublished individual participant data

A Non Intrusive Human Fatigue Monitoring System

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