Employee Cardiometabolic Risk Following a Cluster-Randomized Workplace Intervention from the Work, Family and Health Network, 2009-2013.
Published In
American Journal of Public Health
Document Type
Citation
Publication Date
12-1-2023
Abstract
Objectives. To examine whether workplace interventions to increase workplace flexibility and supervisor support and decrease work–family conflict can reduce cardiometabolic risk.
Methods. We randomly assigned employees from information technology (n = 555) and long-term care (n = 973) industries in the United States to the Work, Family and Health Network intervention or usual practice (we collected the data 2009–2013). We calculated a validated cardiometabolic risk score (CRS) based on resting blood pressure, HbA1c (glycated hemoglobin), HDL (high-density lipoprotein) and total cholesterol, height and weight (body mass index), and tobacco consumption. We compared changes in baseline CRS to 12-month follow-up.
Results. There was no significant main effect on CRS associated with the intervention in either industry. However, significant interaction effects revealed that the intervention improved CRS at the 12-month follow-up among intervention participants in both industries with a higher baseline CRS. Age also moderated intervention effects: older employees had significantly larger reductions in CRS at 12 months than did younger employees.
Conclusions. The intervention benefited employee health by reducing CRS equivalent to 5 to 10 years of age-related changes for those with a higher baseline CRS and for older employees.
Rights
© 2024 American Public Health Association
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DOI
10.2105/AJPH.2023.307413
Persistent Identifier
https://archives.pdx.edu/ds/psu/41314
Citation Details
Berkman, L. F., Kelly, E. L., Hammer, L. B., Mierzwa, F., Bodner, T., McNamara, T., Koga, H. K., Lee, S., Marino, M., Klein, L. C., McDade, T. W., Hanson, G., Moen, P., & Buxton, O. M. (2023). Employee Cardiometabolic Risk Following a Cluster-Randomized Workplace Intervention From the Work, Family and Health Network, 2009–2013. American Journal of Public Health, 113(12), 1322–1331. https://doi.org/10.2105/ajph.2023.307413