Shift Work Adaptation Among Police Officers: The BCOPS Study
-
2021/06/01
-
Details
-
Personal Author:Allison P ; Andrew, Michael E. ; Burch JB ; Fekedulegn D ; Ginsberg JP ; McLain AC ; Nevels TL ; Violanti JM ; Wirth MD
-
Description:Few studies have examined shiftwork adaptation among police officers or potential differences in disease biomarkers among adapted and maladapted shiftworkers. This study characterized shiftwork adaptation among 430 police officers from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) study. Police officers working fixed night shifts with symptoms characteristic of adaptation and maladaptation were identified using latent class analysis (n = 242). Two approaches were applied, one with police-specific symptoms and another using more general symptoms as shiftwork adaptation indicators. Biomarkers of inflammation, heart rate variability, and cardiometabolic risk were then compared between shiftwork adaptation groups, and with officers working day shifts, after adjusting for confounding. When analyses included police-specific symptoms, maladapted shiftworkers (n = 73) had more self-reported stress, sleep disturbances, fatigue, and less social support than adapted shiftworkers (n = 169). Using more general symptoms, maladapted officers (n = 56) reported more stress and depression, and less social support than adapted officers (n = 186). In police-specific models, adjusted (least-squares) means (+/- standard error) of circulating interleukin-6 (IL-6) concentrations in maladapted officers (0.8 +/- 0.1 ln[pg/ml]) were modestly elevated relative to adapted shiftworkers (0.7 +/- 0.1 ln[pg/ml], p = .09) and relative to permanent day workers (0.5 +/- 0.1 ln[pg/ml], p <= 0.01), and leptin levels in maladapted officers (9.6 +/- 0.1 ln[pg/ml]) exceeded those in the adapted (9.4 +/- 0.1 ln[pg/ml], p <= 0.01) and day shift groups (9.4 +/- 0.1 ln[pg/ml], p = .03). In the general model, adjusted mean tumor necrosis factoralpha (TNF-a) concentrations among maladapted officers (5.6 +/- 0.23 pg/ml) exceeded the adapted (4.8 +/- 0.2 pg/ml, p <= 0.01) and day workers (5.0 +/- 0.2 pg/ml, p = .04), and insulin among maladapted officers was higher (2.4 +/- 0.1 ln[uu/ml]) than the adapted group (1.8 +/- 0.1 ln[uu/ml], p = .03). No differences were observed for the other biomarkers. The results suggest that maladaptation among police officers working fixed night shifts may lead to increases in leptin, insulin, IL-6, and TNF-a; however, the cross-sectional design and possible residual confounding preclude interpretation of cause and effect. Prospective studies are planned to further characterize the relationship between shiftwork maladaptation and biomarkers of chronic disease risk in this police officer cohort. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:0742-0528
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Division:
-
Topic:
-
Location:
-
Volume:38
-
Issue:6
-
NIOSHTIC Number:nn:20062430
-
Citation:Chronobiol Int 2021 Jun; 38(6):907-923
-
Contact Point Address:Torrance L. Nevels, PhD, PA-C, Interservice-Physician Assistant Program, MEDCoE, Joint Base San Antonio-Fort Sam Houston, 3630 Stanley Rd, Bldg 2841, San Antonio, Texas 78234
-
Email:crimsonpa2009@gmail.com
-
Federal Fiscal Year:2021
-
NORA Priority Area:
-
Performing Organization:State University of New York at Buffalo
-
Peer Reviewed:True
-
Start Date:20150901
-
Source Full Name:Chronobiology International
-
End Date:20190831
-
Collection(s):
-
Main Document Checksum:urn:sha-512:89db782d881259e77dfdb7ff3345da4b31f803513340039eb51bdfbdd8249843aea7d262f9be27ca220424be4f0e58a31d08635597c04e76aa462e4d50da3a3e
-
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