Worksite environment intervention to prevent obesity among metropolitan transit workers.

OBJECTIVE The results of an 18-month worksite intervention to prevent obesity among metropolitan transit workers are reported. METHODS Four garages in a major metropolitan area were randomized to intervention or control groups. Data were collected during the fall of 2005 prior to the start of the intervention and during the fall of 2007, after the intervention ended. Intervention program components at the garage included enhancement of the physical activity facilities, increased availability of and lower prices on healthy vending machine choices, and group behavioral programs. Mixed model estimates from cross-sectional and cohort samples were pooled with weights inverse to the variance of their respective estimates of the intervention effects. RESULTS Measurement participation rates were 78% at baseline and 74% at follow-up. The intervention effect on garage mean BMI change was not significant (-0.14 kg/m(2)). Energy intake decreased significantly, and fruit and vegetable intake increased significantly in intervention garages compared to control garages. Physical activity change was not significant. CONCLUSION Worksite environmental interventions for nutrition and physical activity behavior change may have limited impact on BMI among transit workers who spend most of their workday outside the worksite.

[1]  Peter J. Hannan,et al.  Pricing and Availability Intervention in Vending Machines at Four Bus Garages , 2010, Journal of occupational and environmental medicine.

[2]  J. Seidell,et al.  The public health impact of obesity. , 2001, Annual review of public health.

[3]  G. Beaton,et al.  Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals. , 1983, The American journal of clinical nutrition.

[4]  C Probart,et al.  Work site-based cancer prevention: primary results from the Working Well Trial. , 1996, American journal of public health.

[5]  David R Bassett,et al.  Sources of variance in daily physical activity levels as measured by an accelerometer. , 2002, Medicine and science in sports and exercise.

[6]  R. Heaney,et al.  Effect of yogurt on a urinary marker of bone resorption in postmenopausal women. , 2002, Journal of the American Dietetic Association.

[7]  D McLerran,et al.  Seattle 5 a Day worksite program to increase fruit and vegetable consumption. , 2001, Preventive medicine.

[8]  D R Jacobs,et al.  The Healthy Worker Project: a work-site intervention for weight control and smoking cessation. , 1993, American journal of public health.

[9]  D. Matthews,et al.  In-person vs telephone-administered multiple-pass 24-hour recalls in women: validation with doubly labeled water. , 2000, Journal of the American Dietetic Association.

[10]  D Feskanich,et al.  Comparison of a computerized and a manual method of food coding for nutrient intake studies. , 1988, Journal of the American Dietetic Association.

[11]  S. Lemon,et al.  Design Characteristics of Worksite Environmental Interventions for Obesity Prevention , 2007, Obesity.

[12]  David R. Ragland,et al.  STUDIES OF HEALTH OUTCOMES IN TRANSIT OPERATORS: POLICY IMPLICATIONS OF THE CURRENT SCIENTIFIC DATABASE , 1998 .

[13]  P. Freedson,et al.  Using objective physical activity measures with youth: how many days of monitoring are needed? , 2000, Medicine and science in sports and exercise.

[14]  Diane J Catellier,et al.  Design of the Trial of Activity in Adolescent Girls (TAAG). , 2005, Contemporary clinical trials.

[15]  J M Fisher,et al.  Prevalence of hypertension in bus drivers. , 1987, International journal of epidemiology.

[16]  J. Jobe,et al.  Intervention-related bias in reporting of food intake by fifth-grade children participating in an obesity prevention study. , 2004, American journal of epidemiology.

[17]  K. Flegal,et al.  Prevalence of overweight and obesity in the United States, 1999-2004. , 2006, JAMA.

[18]  J. Neff,et al.  2016 Public Transportation Fact Book , 2008 .

[19]  R. Jeffery Risk behaviors and health. Contrasting individual and population perspectives. , 1989, The American psychologist.

[20]  J M Fisher,et al.  Excess risk of sickness and disease in bus drivers: a review and synthesis of epidemiological studies. , 1988, International journal of epidemiology.

[21]  Rachel K. Johnson,et al.  Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children. , 1996, Journal of the American Dietetic Association.

[22]  David M. Murray,et al.  Design and Analysis of Group- Randomized Trials , 1998 .

[23]  D. Crawford,et al.  Obesity prevention and public health , 2008 .

[24]  K. Glanz,et al.  Nutrition intervention for high-risk auto workers: results of the Next Step Trial. , 1999, Preventive medicine.

[25]  G Godin,et al.  Self-reported exercise behavior of employees: a validity study. , 1989, Journal of occupational medicine. : official publication of the Industrial Medical Association.

[26]  G Rose,et al.  Sick individuals and sick populations. , 1985, International journal of epidemiology.

[27]  D Feskanich,et al.  Computerized collection and analysis of dietary intake information. , 1989, Computer methods and programs in biomedicine.

[28]  K. Flegal,et al.  Prevalence and trends in obesity among US adults, 1999-2000. , 2002, JAMA.

[29]  B P Perloff,et al.  The use of telephone interview methodology to obtain 24-hour dietary recalls. , 1999, Journal of the American Dietetic Association.

[30]  A. Stoddard,et al.  Increasing fruit and vegetable consumption through worksites and families in the treatwell 5-a-day study. , 1999, American journal of public health.

[31]  R. Jeffery,et al.  Preventing weight gain in adults: the pound of prevention study. , 1999, American journal of public health.

[32]  R. Jeffery,et al.  Environmental influences on eating and physical activity. , 2001, Annual review of public health.

[33]  G. Godin,et al.  Assessment of leisure time exercise behavior by self-report: a concurrent validity study. , 1986, Canadian journal of public health = Revue canadienne de sante publique.

[34]  J. Weissfeld,et al.  Low energy reporting may increase in intervention participants enrolled in dietary intervention trials. , 2004, Journal of the American Dietetic Association.

[35]  P S Freedson,et al.  Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.

[36]  Kathryn Mearns,et al.  Bus driver well-being review: 50 years of research , 2006 .

[37]  R. Shephard,et al.  A simple method to assess exercise behavior in the community. , 1969, Canadian journal of applied sport sciences. Journal canadien des sciences appliquees au sport.

[38]  D. Midthune,et al.  Fruit and vegetable assessment: performance of 2 new short instruments and a food frequency questionnaire. , 2002, Journal of the American Dietetic Association.