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Sleep quality subtypes and obesity.

Christopher A Magee1, Prasuna Reddy2, Laura Robinson1

  • 1School of Psychology.

Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association
|May 14, 2016
PubMed
Summary
This summary is machine-generated.

Poor sleep quality is linked to obesity. Distinct sleep patterns, like "Poor Sleepers," are associated with higher body mass index (BMI), partly due to lower physical activity levels in employees.

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Area of Science:

  • Occupational Health
  • Sleep Science
  • Obesity Research

Background:

  • Poor sleep quality is increasingly recognized as a potential risk factor for obesity.
  • Understanding the relationship between sleep patterns and obesity is crucial for public health initiatives.

Purpose of the Study:

  • To investigate distinct sleep quality subtypes and their association with obesity.
  • To examine the indirect role of physical activity in the relationship between sleep quality and obesity.

Main Methods:

  • Utilized a person-centered approach with latent class analysis on data from 8,932 Australian employees.
  • Assessed sleep quality, obesity (BMI, waist circumference), and physical activity via interviews and questionnaires.
  • Employed general linear modeling and mediation analyses to explore associations and indirect effects.

Main Results:

  • Identified five sleep quality subtypes: Good Sleepers (26.7%), Minor Sleep Disturbances (24.5%), Poor Sleepers (20.0%), Frequent Sleep Disturbances (19.2%), and Long Sleepers (9.6%).
  • Poor Sleepers exhibited the highest BMI and waist circumference, while Good Sleepers and Long Sleepers had the lowest.
  • Low physical activity mediated the link between Poor Sleep, Frequent Sleep Disturbance, and Long Sleep subtypes and higher BMI.

Conclusions:

  • Distinct sleep quality patterns are differentially associated with obesity measures in employees.
  • Findings highlight the need for targeted workplace interventions addressing sleep quality and physical activity.
  • Sleep quality subtypes offer valuable insights into employee health and well-being.