The Association Between Worksite Social Support, Diet, Physical Activity and Body Mass Index

Overview

Journal Prev Med

Specialty Public Health

Date 2011 May 17

PMID 21570422

Citations 27

Authors

Sara L Tamers

Shirley A A Beresford

Allen D Cheadle

Yingye Zheng

Sonia K Bishop

Beti Thompson

Affiliations

Soon will be listed here.

Abstract

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 2878 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 component 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.

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References

Liebman M, Pelican S, Moore S, Holmes B, Wardlaw M, Melcher L . Dietary intake, eating behavior, and physical activity-related determinants of high body mass index in rural communities in Wyoming, Montana, and Idaho. Int J Obes Relat Metab Disord. 2003; 27(6):684-92. DOI: 10.1038/sj.ijo.0802277. View

Jacobson N, Truax P . Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol. 1991; 59(1):12-9. DOI: 10.1037//0022-006x.59.1.12. View

Godin G, Shephard R . A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985; 10(3):141-6. View

Cheadle A, Samuels S, Rauzon S, Yoshida S, Schwartz P, Boyle M . Approaches to measuring the extent and impact of environmental change in three California community-level obesity prevention initiatives. Am J Public Health. 2010; 100(11):2129-36. PMC: 2951934. DOI: 10.2105/AJPH.2010.300002. View

Langenberg P, Ballesteros M, Feldman R, Damron D, Anliker J, Havas S . Psychosocial factors and intervention-associated changes in those factors as correlates of change in fruit and vegetable consumption in the Maryland WIC 5 A Day Promotion Program. Ann Behav Med. 2001; 22(4):307-15. DOI: 10.1007/BF02895667. View

Pereira M, Kartashov A, Ebbeling C, Van Horn L, Slattery M, Jacobs Jr D . Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005; 365(9453):36-42. DOI: 10.1016/S0140-6736(04)17663-0. View

Fuemmeler B, Masse L, Yaroch A, Resnicow K, Campbell M, Carr C . Psychosocial mediation of fruit and vegetable consumption in the body and soul effectiveness trial. Health Psychol. 2006; 25(4):474-83. DOI: 10.1037/0278-6133.25.4.474. View

Untas A, Thumma J, Rascle N, Rayner H, Mapes D, Lopes A . The associations of social support and other psychosocial factors with mortality and quality of life in the dialysis outcomes and practice patterns study. Clin J Am Soc Nephrol. 2010; 6(1):142-52. PMC: 3022236. DOI: 10.2215/CJN.02340310. View

Hill J, Wyatt H, Reed G, Peters J . Obesity and the environment: where do we go from here?. Science. 2003; 299(5608):853-5. DOI: 10.1126/science.1079857. View

10.

Thompson F, Byers T . Dietary assessment resource manual. J Nutr. 1994; 124(11 Suppl):2245S-2317S. DOI: 10.1093/jn/124.suppl_11.2245s. View

11.

Yancey A, Lewis L, Guinyard J, Sloane D, Nascimento L, Galloway-Gilliam L . Putting promotion into practice: the African Americans building a legacy of health organizational wellness program. Health Promot Pract. 2006; 7(3 Suppl):233S-46S. DOI: 10.1177/1524839906288696. View

12.

Elliot D, Goldberg L, Duncan T, Kuehl K, Moe E, Breger R . The PHLAME firefighters' study: feasibility and findings. Am J Health Behav. 2004; 28(1):13-23. DOI: 10.5993/ajhb.28.1.2. View

13.

Bodor J, Rose D, Farley T, Swalm C, Scott S . Neighbourhood fruit and vegetable availability and consumption: the role of small food stores in an urban environment. Public Health Nutr. 2007; 11(4):413-20. DOI: 10.1017/S1368980007000493. View

14.

Hemmingsson E, Hellenius M, Ekelund U, Bergstrom J, Rossner S . Impact of social support intensity on walking in the severely obese: a randomized clinical trial. Obesity (Silver Spring). 2008; 16(6):1308-13. DOI: 10.1038/oby.2008.204. View

15.

Stables G, Young E, Howerton M, Yaroch A, Kuester S, Solera M . Small school-based effectiveness trials increase vegetable and fruit consumption among youth. J Am Diet Assoc. 2005; 105(2):252-6. DOI: 10.1016/j.jada.2004.11.031. View

16.

Sorensen G, Stoddard A, Dubowitz T, Barbeau E, Bigby J, Emmons K . The influence of social context on changes in fruit and vegetable consumption: results of the healthy directions studies. Am J Public Health. 2007; 97(7):1216-27. PMC: 1913084. DOI: 10.2105/AJPH.2006.088120. View

17.

Sorensen G, Linnan L, Hunt M . Worksite-based research and initiatives to increase fruit and vegetable consumption. Prev Med. 2004; 39 Suppl 2:S94-100. DOI: 10.1016/j.ypmed.2003.12.020. View

18.

French S, Harnack L, Jeffery R . Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. Int J Obes Relat Metab Disord. 2000; 24(10):1353-9. DOI: 10.1038/sj.ijo.0801429. View

19.

Beresford S, Locke E, Bishop S, West B, McGregor B, Bruemmer B . Worksite study promoting activity and changes in eating (PACE): design and baseline results. Obesity (Silver Spring). 2008; 15 Suppl 1:4S-15S. DOI: 10.1038/oby.2007.383. View