Predictors of Obesity in Michigan Operating Engineers
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Blue collar workers are at risk for obesity. Little is known about obesity in Operating Engineers, a group of blue collar workers, who operate heavy earth-moving equipment in road building and construction. Therefore, 498 Operating Engineers in Michigan were recruited to participate in a cross-sectional survey to determine variables related to obesity in this group. Bivariate and multivariate analyses were conducted to determine personal, psychological, and behavioral factors predicting obesity. Approximately 45% of the Operating Engineers screened positive for obesity, and another 40% were overweight. Multivariate analysis revealed that younger age, male sex, higher numbers of self-reported co-morbidities, not smoking, and low physical activity levels were significantly associated with obesity among Operating Engineers. Operating Engineers are significantly at risk for obesity, and workplace interventions are needed to address this problem.
KeywordsObesity Overweight Blue collar Health behaviors Workplace
This study was supported by the Michigan Center for Health Intervention (MICHIN). The authors would like to acknowledge Karen Fowler for her assistance with project development and data collection. The authors would also like to thank the Operating Engineers that participated in this study as well as the Operating Engineers leadership staff including Bill Nelson, Willie Dubas, and Lee Graham.
- 1.Centers for Disease Control and Prevention. (2010). Obesity: Halting the epidemic by making health easier. http://www.cdc.gov/chronicdisease/resources/publications/AAG/obesity.htm.
- 2.US Department of Health and Human Services. (2001). The surgeon general’s call to action to prevent and decrease overweight and obesity. Rockville, MD: Public Health Service, Office of the Surgeon General. http://www.surgeongeneral.gov/topics/obesity.
- 13.Elder, C. R., Gullion, C. M., Funk, K. L., Debar, L. L., Lindberg, N. M., & Stevens, V. J. (2011). Impact of sleep, screen time, depression and stress on weight change in the intensive weight loss phase of the LIFE study. International Journal of Obesity (London). Epub ahead of print. http://www.nature.com.proxy.lib.umich.edu/ijo/journal/vaop/ncurrent/full/ijo201160a.html.
- 20.Kaewthummanukul, T., & Brown, K. C. (2006). Determinants of employee participation in physical activity: Critical review of the literature. American Association of Occupational Health Nurses Journal, 54, 249–261.Google Scholar
- 27.Ware, J. E. (1993). SF-36 health survey: Manual and interpretation guide. Boston: The Health Institute, New England Medical Center.Google Scholar
- 28.Saunders, J. B., Aasland, O. G., Babor, T. F., De la Fuente, J. R., & Grant, M. (1993). Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption–II. Addiction, 88, 791–804.PubMedCrossRefGoogle Scholar
- 31.Hays, R. D., Sherbourne, C. D., & Mazel, R. M. (1995). User’s manual for the medical outcomes study (MOS) core measures of health-related quality of life. Santa Monica: Rand Corp.Google Scholar
- 32.Trust for America’s Health. (2009). F as in fat: How obesity policies are failing America. http://healthyamericans.org/reports/obesity2009/Obesity2009Summary.pdf.
- 33.Michigan Department of Community Health Bureau of Epidemiology Chronic Disease Section. (2008). Health risk behaviors in the State of Michigan: 2007 Behavioral risk factor survey. http://www.michigan.gov/documents/mdch/80163_MSU_PS-BRFS_text_FINAL_259176_7.pdf.
- 35.Hasin, D. S., Stinson, F. S., Ogburn, E., & Grant, B. F. (2007). Prevalence, correlates, disability, and comorbidity of DSM-IV alcohol abuse and dependence in the United States: Results from the national epidemiologic survey on alcohol and related conditions. Archives of General Psychiatry, 64, 830–842.PubMedCrossRefGoogle Scholar
- 36.Michigan Department of Community Health. (2008). Statistics and reports. prediabetes in Michigan, the facts. http://www.michigan.gov/mdch/0,1607,7-132-2940_2955_2980_00.html.
- 37.The Henry J. Kaiser Family Foundation. (2010). Number of deaths due to disease of the Heart per 100,000 Population, 2007. http://www.statehealthfacts.org/comparemaptable.jsp?ind=77&cat=2.
- 40.Morgan, P. J., Collins, C. E., Plotnikoff, R. C., et al. (2011). Efficacy of a workplace-based weight loss program for overweight male shift workers: The Workplace POWER (Preventing Obesity Without Eating like a Rabbit) randomized controlled trial. Preventive Medicine, 52, 317–325.PubMedCrossRefGoogle Scholar