The project is a cluster randomized controlled trial of an occupational health intervention for newly hired bus operators. Transit authorities will be randomized to intervention and usual practice conditions and new bus operators will be recruited to participate in a two year study. Intervention participants will complete a program designed to prevent weight gain while also supporting early adjustment and job success. Control participants will experience standard or usual practice working conditions.
Epidemiological evidence indicates that bus driving is associated with increased risk for obesity and some chronic diseases, and that it is time for interventions. In this regard, the early transition into bus driving has been neglected. Not only are interventions lacking for new employees entering potentially obesogenic occupations, but workplace training and socialization programs for new hires (referred to as onboarding) rarely address potential occupational health hazards. To address research gaps, investigators will integrate an effective health intervention approach with traditional onboarding programs for new bus drivers. This intervention approach, which was originally developed with commercial truck drivers, was implemented through a mobile friendly website, and tactics included an incentivized game-like competition that was supported with behavior and body weight logging, computer-based training, and motivational interviewing. In a cluster-randomized trial with commercial truck drivers the intervention produced a mean body weight effect of -7.29 lbs (p\<.0001; Olson et al, 2016), which is among the strongest results observed globally with occupational drivers. In the proposed intervention adaptation, the "SHIFT Onboard" intervention (Success \& Health Impacts For Transit drivers during Onboarding) will be designed to prevent weight gain among new bus drivers while also supporting early adjustment and job success. The primary hypotheses are that relative to usual practice, SHIFT Onboard participants will have (1) superior energy balance behaviors (sleep, eating, exercise) and (2) less weight gain. Investigators will also evaluate impacts on new employee adjustment and economic outcomes that are critical to employers; the ultimate adopters of occupational health interventions. This project will take place over five years and will accomplish three specific aims: 1. Adapt proven tactics and pilot SHIFT Onboard with new bus drivers: Through formative research with transit partners and iterative testing with drivers investigators will adapt existing web technology, intervention tactics, and training content for newly hired mass transit bus drivers. The adapted SHIFT Onboard intervention will then be pilot tested with new drivers at a partner transit authority. 2. Determine the efficacy of SHIFT Onboard for preventing weight gain. Metropolitan transit authorities, stratified by size, will be randomly assigned to intervention or usual practice control conditions. SHIFT Onboard will be implemented with natural groups of bus operators who complete training together during the first year. Primary intervention effectiveness outcomes will be between-groups differences at 1- and 2-year follow-ups in changes in energy balance behaviors (sleep, eating, exercise) and body weight. 3. Evaluate new employee adjustment and economic impacts of SHIFT Onboard. Investigators will also evaluate intervention impacts on new bus operator adjustment (role stress, confidence, connectedness) and job attitudes (job satisfaction, intention to remain). Economic return on investment calculations will contrast intervention costs relative to savings projected from intervention effects (e.g., health care costs, absenteeism, safety). Investigators will also collect measures of work demands, stressors, and strains (responses to stressors) at all time points to characterize occupational exposures among the sample, and to explore for possible associations with workers' health outcomes.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
284
A 12-month onboarding process and social challenge supported with goal setting, computer-based training, self-monitoring, and group motivational interviewing.
Oregon Health & Science University
Portland, Oregon, United States
Change from baseline in body weight at 12 and 24 months
Directly measured body weight in kg.
Time frame: Baseline, 12, and 24 months
Body Mass Index
Calculated from directly measured weight and height (kg/m\^2).
Time frame: Baseline, 12 and 24 months
Change from baseline in percent body fat
Percent body fat measured through bioelectric impedence
Time frame: Baseline, 12 and 24 months
Change from baseline in self-reported fruit and vegetable intake at 12 and 24 months
Survey measures of fruit and vegetable intake.
Time frame: Baseline, 12, and 24 months
Change from baseline in self-reported consumption of high fat foods at 12 and 24 months.
Survey measure of high fat food consumption frequency and portion sizes.
Time frame: Baseline, 12 and 24 months.
Change from baseline in self-reported sugary food and drink consumption at 12 and 24 months
Survey measure of the frequency of sugary food and drink consumption.
Time frame: Baseline, 12 and 24 months.
Change from baseline in self-reported fast food consumption.
Survey measure of the frequency of fast food consumption.
Time frame: Baseline, 12 and 24 months.
Change from baseline in self-reported physical activity at 12 and 24 months
Survey measures of daily/weekly physical activity levels.
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Time frame: Baseline, 12, and 24 months
Change from baseline in actigraphically measured physical activity at 12 and 24 months
Actigraphy measures of daily/weekly of physical activity levels.
Time frame: Baseline, 12 and 24 months
Change from baseline in self-reported sleep quality at 12 and 24 months
Survey measures of typical sleep quality.
Time frame: Baseline, 12, and 24 months
Change from baseline in self-reported sleep quantity at 12 and 24 months
Survey measures of typical daily sleep time.
Time frame: Baseline, 12 and 24 months
Change from baseline in actigraphically measured sleep quality at 12 and 24 months
Actigraphy measures of sleep quality as indicated by minutes of Wake After Sleep Onset in main sleep periods.
Time frame: Baseline, 12 and 24 months
Change from baseline in actigraphically measured sleep quantity at 12 and 24 months
Actigraphy measures of sleep duration in minutes for the daily main sleep period and naps.
Time frame: Baseline, 12 and 24 months
Changes in job role conflict
Survey measures of job role conflict.
Time frame: Baseline, 12, and 24 months
Changes in perceived acceptance by others
Survey measures of perceived acceptance by others.
Time frame: Baseline, 12 and 24 months
Changes in job-related self-efficacy
Survey measures of job-related self-efficacy.
Time frame: Baseline, 12 and 24 months
Changes in job satisfaction
Survey measure of job satisfaction
Time frame: Baseline, 12 and 24 months
Changes in intention to remain at job
Survey measures of intention to remain.
Time frame: Baseline, 12 and 24 months
Economic cost-benefit factors
Intervention costs (e.g., participant wages, fees for group facilitators, cost of resources/tech support, intervention incentives) will be contrasted with estimated savings (e.g., estimates of health care cost savings based on weight changes, and estimates of costs/savings utilizing corporate data for study participants on absenteeism, job turnover, bus collisions, driver injuries and workers' compensation claims, and passenger/pedestrian/other driver injuries).
Time frame: 12 month intervention costs, and a target minimum of four years of corporate data for each agency (2 historical, 2 during study period)
Absenteeism
Organizational records of absenteeism for new bus operators
Time frame: Baseline, 12 and 24 months
Job turnover
Organizational records of job turnover among new bus operators
Time frame: Baseline, 12 and 24 months
Bus collisions
Organizational records of bus collisions among new bus operators
Time frame: Baseline, 12 and 24 months
Injuries
Organizational records of bus operator and passenger injuries
Time frame: Baseline, 12 and 24 months