Depression and Diabetes in Workers Across the Life Span: Addressing the Health of America’s Workforce – Behavioral Risk Factor Surveillance System, 2014–2018
Public Domain
-
2022/04/01
-
Details
-
Personal Author:
-
Description:OBJECTIVE Diabetes affects nearly 12.2% of U.S. adults. Comorbid depressive symptoms among U.S. workers with diabetes are associated with increased unemployment and reduced work performance. This study examined the age-group-specific prevalence of depression among U.S. workers with self-reported diabetes and identified factors associated with depression. METHODS Data from the 2014-2018 Behavioral Risk Factor Surveillance System were used to examine the prevalence of depression among adult workers with diabetes in the United States. Relationships between depression prevalence and diabetes and demographic, physical, and behavioral risk factors were examined through bivariate and multivariable analyses. Age was categorized into four groups: 18-34, 35-54, 55-64, and ≥65 years. RESULTS The overall prevalence of self-reported depression among U.S. workers with diabetes was 17.4%-30% higher than among those without diabetes. Workers with diabetes aged 18-34 years had the highest depression prevalence (28.7%) compared with other age-groups. Female workers with diabetes were significantly more likely than male workers to report depression in all age-groups. Young adult workers with diabetes who had another chronic disease were nearly three times more likely to report depression than those without another chronic condition. There were no overlapping patterns of prevalence of diabetes and depression by state. CONCLUSION Workers with diabetes are at an increased risk of depression, which can affect their overall health and productivity. These findings indicate that, among those with diabetes, young adult workers and women are most likely to have depression. Employee wellness programs may address the specific needs of individuals with diabetes and depression. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:1040-9165
-
Document Type:
-
Genre:
-
Place as Subject:
-
CIO:
-
Division:
-
Topic:
-
Location:
-
Pages in Document:198-206
-
Volume:35
-
Issue:2
-
NIOSHTIC Number:nn:20063428
-
Citation:Diabetes Spectr 2022 Spring; 35(2):198-206
-
Contact Point Address:Harpriya Kaur, Division of Science Integration, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH
-
Email:hkaur@cdc.gov
-
Federal Fiscal Year:2022
-
NORA Priority Area:
-
Peer Reviewed:True
-
Source Full Name:Diabetes Spectrum
-
Collection(s):
-
Main Document Checksum:urn:sha-512:62682f959e3084dea67989ae125c0031a5e35ac3a099255421c3327421e35e3f74305ae626c4cf3bec578aeb6bd497946ce2a23f5f33537a553debfa976b3fa2
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like