ArticleAmerican journal of epidemiology2012
A structural equation modeling approach to fatigue-related risk factors for occupational injury.
Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- The Impact of Electroconvulsive Therapy on Negative Symptoms in Schizophrenia and Their Association with Clinical Outcomes.Brain sciences · 2022Article
- The Impact of Adverse Employment and Working Conditions on the Risk of Workplace Injury in Canada.Safety and health at work · 2021Article
- Is burnout a mediating factor between sharps injury and work-related factors or musculoskeletal pain?World journal of clinical cases · 2021Article
- A Generalized Structural Equation Model Approach to Long Working Hours and Near-Misses among Healthcare Professionals in Japan.International journal of environmental research and public health · 2021Article
- Parallel Assessment Challenges in Nutritional and Sleep Epidemiology.American journal of epidemiology · 2021Article
- Changes in the levels of IL-1β, cortisol and chromogranin A in saliva of subjects with occupational fatigue.Experimental and therapeutic medicine · 2020Article
- Reoccurring Injury, Chronic Health Conditions, and Behavioral Health: Gender Differences in the Causes of Workers' Compensation Claims.Journal of occupational and environmental medicine · 2018Article
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- Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015Article
- Does tinnitus, hearing asymmetry, or hearing loss predispose to occupational injury risk?International journal of audiology · 2015Article
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- Modeling contextual effects using individual-level data and without aggregation: an illustration of multilevel factor analysis (MLFA) with collective efficacy.Population health metrics · 2015Article
- Psychological distress and pain reporting in Australian coal miners.Safety and health at work · 2014Article
- Body mass index and the risk of injury in adults: a cross-sectional study.International journal of obesity (2005) · 2014Article
- Work in multiple jobs and the risk of injury in the US working population.American journal of public health · 2014Article
- Association between In Utero arsenic exposure, placental gene expression, and infant birth weight: a US birth cohort study.Environmental health : a global access science source · 2013Article
- Invited commentary: structural equation models and epidemiologic analysis.American journal of epidemiology · 2012Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Occupational injury is associated with numerous individual and work-related risk factors, including long working hours and short sleep duration; however, the complex mechanisms causing such injuries are not yet fully understood. The authors used structural equation modeling (SEM) as a novel approach to examine fatigue-related direct and indirect potential risk factors for occupational injury. The study sample contained 89,366 employed workers from the National Health Interview Survey (pooled across 6 years, 2004-2009), an annual survey of a representative cross-sectional sample of the US population. Direct and indirect effects of weekly hours worked and usual sleep duration on occupational injuries were modeled using SEM procedures for dichotomous outcomes and a complex sampling design. Confounding and mediating effects of gender, age, race/ethnicity, occupation, industry, type of pay, body mass index (BMI), and psychological distress were simultaneously examined. Long working hours and short sleep duration independently increased the risk of injury. Additional direct risk factors were gender, occupation, type of pay, and BMI. At the same time, sleep duration mediated the adverse relations of long working hours, high psychological distress, and high BMI with injury. These findings indicate that SEM is a useful approach with which to examine dichotomous outcomes and indirect effects in complex samples, and it offers a comprehensive new model of injury prediction.
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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.