Metabolic syndrome and sleep duration in police officers.

Work

Biostatistics and Epidemiology Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV 26505, USA.

Published: December 2012

AI Article Synopsis

  • The study explored the relationship between sleep quality and quantity and metabolic syndrome (MS) among 98 randomly selected police officers, revealing a notable prevalence of MS, especially among men.
  • Results indicated that female officers with shorter sleep durations had a higher average number of MS components compared to those with longer sleep, highlighting a significant link.
  • The findings suggest that sleep affects metabolic health, particularly in women, and recommend further research to investigate these associations in larger and more diverse groups.

Article Abstract

Objectives: To examine associations for sleep quality and quantity with metabolic syndrome (MS) and its five components in police officers.

Patients Or Participants: The study population consisted of 98 randomly selected officers (39 women and 59 men) for whom MS and sleep data were available.

Methods: Sleep duration (categorized as short < 6 hours, long ≥ 6 hours) for the past week and quality of sleep were collected by interviewer-administered questionnaires. MS was assessed using standard criteria. Generalized linear models were used to assess associations between sleep duration or sleep quality and MS, and the mean number of MS components.

Results: Metabolic syndrome was present in 22.0% and 2.6% of the male and female officers, respectively. Women with short sleep had a significantly higher mean number of MS components (mean=1.43) than those with longer sleep (mean=0.81, p=0.0316). Officers who stopped breathing during the night had more MS components (mean=2.43) compared to those who did not (mean =1.13, p=0.0206).

Conclusions: Sleep duration and quality were associated with the mean number of MS components, particularly in women. Future research should examine these associations prospectively, in a larger cohort, exploring possible gender differences.

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Source
http://dx.doi.org/10.3233/WOR-2012-1399DOI Listing

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