Do obesity and sleep problems cluster in the workplace? A multivariate, multilevel study

Scand J Work Environ Health. 2013 May 1;39(3):276-283. doi: 10.5271/sjweh.3332. Epub 2012 Nov 21.

Abstract

Objectives: The aim of this study was to examine the co-occurrence of obesity and sleep problems among employees and workplaces.

Methods: We obtained data from 39 873 men and women working in 3040 workplaces in 2000-2002 (the Finnish Public Sector Study). Individual- and workplace-level characteristics were considered as correlates of obesity and sleep problems, which were modelled simultaneously using a multivariate, multilevel approach.

Results: Of the participants, 11% were obese and 23% reported sleep problems. We found a correlation between obesity and sleep problems at both the individual [correlation coefficient 0.048, covariance 0.047, standard error (SE) 0.005) and workplace (correlation coefficient 0.619, covariance 0.068, SE 0.011) level. The latter, but not the former, correlation remained after adjustment for individual- and workplace-level confounders, such as age, sex, socioeconomic status, shift work, alcohol consumption, job strain, and proportion of temporary employees and manual workers at the workplace.

Conclusions: Obese employees and those with sleep problems tend to cluster in the same workplaces, suggesting that, in addition to targeting individuals at risk, interventions to reduce obesity and sleep problems might benefit from identifying "risky" workplaces.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Comorbidity
  • Female
  • Finland / epidemiology
  • Health Surveys
  • Humans
  • Male
  • Marital Status
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Occupational Diseases / epidemiology*
  • Prevalence
  • Sex Factors
  • Sleep Wake Disorders / epidemiology*
  • Social Class
  • Stress, Psychological / epidemiology
  • Workplace / statistics & numerical data
  • Young Adult