Risk factors for unintentional occupational injury among urban transit bus drivers: a cohort longitudinal study

Wei, Chia; Gerberich, Susan Goodwin; Ryan, Andrew D.; Alexander, Bruce H.; Manser, Michael

doi:10.1016/j.annepidem.2017.09.011

Cited by 12 publications

(12 citation statements)

References 37 publications

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“…However, in the United States ( ), most job exposure matrices have been developed for chemical and physical hazards [ [8] , [9] , [10] , [11] , [12] , [13] , [14] ], not for work organization hazards [ 15 ] (e.g., job control, job demands, social support at work, low rewards, long work hours, safety climate, and work and family conflicts). Work organization hazards increase the risk of cardiovascular disease (CVD) [ [16] , [17] , [18] ], common mental disorders [ [19] , [20] , [21] , [22] ], dementia [ [23] , [24] , [25] ], musculoskeletal disorders [ [26] , [27] , [28] , [29] ], injuries [ 30 , 31 ], absenteeism [ 32 , 33 ], and presenteeism [ 34 , 35 ]. In addition, in contrast to chemical and physical workplace hazards restricted to some occupational groups, work organization hazards exist in all occupations [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol

Choi

2020

Safety and Health at Work

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Background Most job exposure matrices (JEMs) have been developed for chemical and physical hazards in the United States (US). In addition, the overall validity of most JEMs of work organization hazards using self-reported data in the literature remains to be further tested due to several methodological weaknesses. Methods This paper aims to review important methodological issues with regard to a JEM of work organization hazards using self-report data and to present a research protocol for developing a four-axis (job titles, hazards, sex, and time) JEM of major work organization hazards using the US General Social Survey-Quality of Work-Life (GSS-QWL) data (2002–2018; N = 7,100 workers). Results Five methodological weaknesses in existing JEMs of work organization hazards using self-report data were identified: having only two axes (hazard and occupation), using psychometrically weak items and scales, including scales having little interoccupational variability, unresolved optimal minimum numbers of subjects per occupation, and low accessibility. The methodological weaknesses were successfully addressed in the proposed research protocol. Conclusion The work organization JEM to be developed will significantly facilitate and strengthen occupational epidemiological studies on work organization hazards and major health outcomes, improve national and occupational surveillance of work organization hazards, and promote interventions for a healthy work environment in the US.

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Section: Introductionmentioning

confidence: 99%

Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol

Choi

2020

Safety and Health at Work

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“…Prolonged exposure to stress conditions causes them to experience musculoskeletal disorders and occupational diseases (11,12) . In this context, there are several studies that address different perspectives such as: violence against drivers (6) , health and work conditions (7,8) , cardiovascular risk taking into account race (10) or workday (13) , prevalence of musculoskeletal pain (11) , food and anthropometric profile (14) , physiological aspects such as heart rate variability (15) , risk associated with work-related injuries (16) , metabolic and urinary profile (17) or stress (18) .…”

Section: Introductionmentioning

confidence: 99%

Lifestyle of public transport bus drivers and fare collectors

Lunardi

Schilling

Sousa

et al. 2019

RBPS

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“…Common biases include information bias related to self-reported information, recall and misclassification. Other sources include those associated with confounding and loss to follow-up 6–10. With the exception of randomised controlled trials, causal associations between relevant exposures and outcomes may be difficult to establish as the associations may be affected by existing biases 11 12…”

Section: Introductionmentioning

confidence: 99%

“…A directed acyclic graph (DAG)11 was developed a priori to facilitate the process (figure 1). DAGs have previously been used for occupational safety and health research8 32 and also in the case of time-varying covariates 18…”

Section: Introductionmentioning

confidence: 99%

A marginal structural model approach to analyse work-related injuries: an example using data from the health and retirement study

et al. 2019

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BackgroundBiases may exist in the limited longitudinal data focusing on work-related injuries among the ageing workforce. Standard statistical techniques may not provide valid estimates when the data are time-varying and when prior exposures and outcomes may influence future outcomes. This research effort uses marginal structural models (MSMs), a class of causal models rarely applied for injury epidemiology research to analyse work-related injuries.Methods7212 working US adults aged ≥50 years, obtained from the Health and Retirement Study sample in the year 2004 formed the study cohort that was followed until 2014. The analyses compared estimates measuring the associations between physical work requirements and work-related injuries using MSMs and a traditional regression model. The weights used in the MSMs, besides accounting for time-varying exposures, also accounted for the recurrent nature of injuries.ResultsThe results were consistent with regard to directionality between the two models. However, the effect estimate was greater when the same data were analysed using MSMs, built without the restriction for complete case analyses.ConclusionsMSMs can be particularly useful for observational data, especially with the inclusion of recurrent outcomes as these can be incorporated in the weights themselves.

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Risk factors for unintentional occupational injury among urban transit bus drivers: a cohort longitudinal study

Cited by 12 publications

References 37 publications

Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol

Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol

Lifestyle of public transport bus drivers and fare collectors

A marginal structural model approach to analyse work-related injuries: an example using data from the health and retirement study

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