IntroductionStress in numerous contexts may affect the risk for obesity through biobehavioral processes. Acute stress has been associated with diet and physical activity in some studies; the relationship between everyday stress and such behavior is not clear. The objective of this study was to examine associations between perceived stress, dietary behavior, physical activity, eating awareness, self-efficacy, and body mass index (BMI) among healthy working adults. Secondary objectives were to explore whether eating awareness modified the relationship between perceived stress and dietary behavior and perceived stress and BMI.MethodsPromoting Activity and Changes in Eating (PACE) was a group-randomized worksite intervention to prevent weight gain in the Seattle metropolitan area from 2005 through 2007. A subset of 621 participants at 33 worksites provided complete information on perceived stress at baseline. Linear mixed models evaluated cross-sectional associations.ResultsThe mean (standard deviation [SD]) Perceived Stress Scale-10 score among all participants was 12.7 (6.4), and the mean (SD) BMI was 29.2 kg/m2 (6.3 kg/m2). Higher levels of perceived stress were associated with lower levels of eating awareness, physical activity, and walking. Among participants who had low levels of eating awareness, higher levels of perceived stress were associated with fewer servings of fruit and vegetables and greater consumption of fast food meals. ConclusionDietary and physical activity behaviors of workers may be associated with average levels of perceived stress. Longitudinal studies are needed, however, to support inclusion of stress management or mindfulness techniques in workplace obesity prevention efforts.
Objective Social support may be associated with improved diet and physical activity—determinants of overweight and obesity. Wellness programs increasingly target worksites. The aim was to evaluate the relationship between worksite social support and dietary behaviors, physical activity, and body mass index (BMI). Method Baseline data were obtained on 2,878 employees from 2005 to 2007 from 34 worksites through Promoting Activity and Changes in Eating, a group-randomized weight reduction intervention in Greater Seattle. Worksite social support, diet, physical activity, and BMI were assessed via self-reported questionnaire. Principal components analysis was applied to workgroup questions. To adjust for design effects, random effects models were employed. Results No associations were found with worksite social support and BMI, or with many obesogenic behaviors. However, individuals with higher worksite social support had 14.3% higher (95% CI: 5.6%-23.7%) mean physical activity score and 4% higher (95% CI: 1%–7%) mean fruit and vegetable intake compared to individuals with one-unit lower support. Conclusion Our findings do not support a conclusive relationship between higher worksite social support and obesogenic behaviors, with the exception of physical activity and fruit and vegetable intake. Future studies are needed to confirm these relationships and evaluate how worksite social support impacts trial outcomes.
study promoting activity and changes in eating (PACE): design and baseline results. Obesity. 2007;15(Suppl 1):4S-15S.Objective: Based on previous worksite-wide intervention studies and an ecological framework, we created a behavioral intervention program to maintain or reduce weight through healthy eating and physical activity. The design and evaluation plan of the group-randomized trial and the recruitment of worksites are described. Preliminary results regarding the dietary and physical activity behaviors associated with BMI are discussed. Research Methods and Procedures:The intervention used an ecological framework modified by qualitative methods that identified salient barriers and facilitators of behavioral change. Approximately 30 transportation, manufacturing, utilities, personal, household, and miscellaneous service companies in the greater Seattle area are being recruited to the trial. The study population for the present analysis consists of 18 worksites from the first two randomization waves. Dietary behavior was assessed, not by calories, but by behavioral measures related to BMI. Physical activity behaviors were surveyed. BMI is derived from reported height and weight at baseline. Results: The intervention has been developed with a specified minimum suite of strategies within the defined framework. Response rates to the baseline survey among the 18 worksites are 81% on average. After adjusting for age, gender, race, and education, BMI was associated with frequency of intensity-adjusted physical activity, sweat-inducing exercise, fast food meals, soft drinks, eating while doing another activity, and fruit and vegetable intake. Discussion: Worksite-wide intervention strategies can be adapted to target obesity prevention. Employees are willing to participate in surveys at high rates. Several measures of physical activity and eating choices are associated with baseline BMI.
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