Safety and Health at Work

  • 제10권1호
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  • Pages.95-102
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  • 2019
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  • 2093-7911(pISSN)
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  • 2093-7997(eISSN)
산업안전보건연구원 (Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency)
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Process Evaluation of a Mobile Weight Loss Intervention for Truck Drivers

  • Wipfli, Brad (School of Public Health, Oregon Health & Science University and Portland State University) ;
  • Hanson, Ginger (School of Nursing, John Hopkins University) ;
  • Anger, Kent (Oregon Institute of Occupational Health Sciences, Oregon Health & Science University) ;
  • Elliot, Diane L. (Division of Health Promotion & Sports Medicine, Oregon Health & Science University) ;
  • Bodner, Todd (Department of Psychology, Portland State University) ;
  • Stevens, Victor (Center for Health Research, Kaiser Permanente Northwest) ;
  • Olson, Ryan (Oregon Institute of Occupational Health Sciences, Oregon Health & Science University)
  • 투고 : 2017.11.16
  • 심사 : 2018.08.10
  • 발행 : 2019.03.30
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초록

Background: In a cluster-randomized trial, the Safety and Health Involvement For Truck drivers intervention produced statistically significant and medically meaningful weight loss at 6 months (-3.31 kg between-group difference). The current manuscript evaluates the relative impact of intervention components on study outcomes among participants in the intervention condition who reported for a post-intervention health assessment (n = 134) to encourage the adoption of effective tactics and inform future replications, tailoring, and enhancements. Methods: The Safety and Health Involvement For Truck drivers intervention was implemented in a Web-based computer and smartphone-accessible format and included a group weight loss competition and body weight and behavioral self-monitoring with feedback, computer-based training, and motivational interviewing. Indices were calculated to reflect engagement patterns for these components, and generalized linear models quantified predictive relationships between participation in intervention components and outcomes. Results: Participants who completed the full program-defined dose of the intervention had significantly greater weight loss than those who did not. Behavioral self-monitoring, computer-based training, and health coaching were significant predictors of dietary changes, whereas behavioral and body weight self-monitoring was the only significant predictor of changes in physical activity. Behavioral and body weight self-monitoring was the strongest predictor of weight loss. Conclusion: Web-based self-monitoring of body weight and health behaviors was a particularly impactful tactic in our mobile health intervention. Findings advance the science of behavior change in mobile health intervention delivery and inform the development of health programs for dispersed populations.

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피인용 문헌

  1. Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity vol.29, pp.3, 2021, https://doi.org/10.1002/oby.23088