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Volume 37, Issue 4, Pages 330-339 (October 2009)


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Meta-Analysis of Workplace Physical Activity Interventions

Vicki S. Conn, PhD, RN, FAANaCorresponding Author Informationemail address, Adam R. Hafdahl, PhDb, Pamela S. Cooper, PhDa, Lori M. Brown, MSa, Sally L. Lusk, PhD, RN, FAAN, FAAOHNc

Context

Most adults do not achieve adequate physical activity levels. Despite the potential benefits of worksite health promotion, no previous comprehensive meta-analysis has summarized health and physical activity behavior outcomes from such programs. This comprehensive meta-analysis integrated the extant wide range of worksite physical activity intervention research.

Evidence acquisition

Extensive searching located published and unpublished intervention studies reported from 1969 through 2007. Results were coded from primary studies. Random-effects meta-analytic procedures, including moderator analyses, were completed in 2008.

Evidence synthesis

Effects on most variables were substantially heterogeneous because diverse studies were included. Standardized mean difference (d) effect sizes were synthesized across approximately 38,231 subjects. Significantly positive effects were observed for physical activity behavior (0.21); fitness (0.57); lipids (0.13); anthropometric measures (0.08); work attendance (0.19); and job stress (0.33). The significant effect size for diabetes risk (0.98) is less robust given small sample sizes. The mean effect size for fitness corresponds to a difference between treatment minus control subjects' means on VO2max of 3.5 mL/kg/min; for lipids, −0.2 on the ratio of total cholesterol to high-density lipoprotein; and for diabetes risk, −12.6 mg/dL on fasting glucose.

Conclusions

These findings document that some workplace physical activity interventions can improve both health and important worksite outcomes. Effects were variable for most outcomes, reflecting the diversity of primary studies. Future primary research should compare interventions to confirm causal relationships and further explore heterogeneity.

a School of Nursing, University of Missouri, Columbia, Missouri

b Department of Mathematics, Washington University, St. Louis, Missouri

c School of Nursing, University of Michigan, Ann Arbor, Michigan

Corresponding Author InformationAddress correspondence and reprint requests to: Vicki S. Conn, PhD, RN, FAAN, S317 Sinclair School of Nursing, University of Missouri, Columbia MO 65211

PII: S0749-3797(09)00413-9

doi:10.1016/j.amepre.2009.06.008


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