title: The association between optimal lifestyle-related health behaviors and employee productivity.
abstract: OBJECTIVE
  To investigate the association between lifestyle-related health behaviors including sleep and the cluster of physical activity, no tobacco use, fruits and vegetables intake, and alcohol consumption termed the "Optimal Lifestyle Metric" (OLM), and employee productivity.
  
  
  METHODS
  Data were obtained from employee health assessments (N = 18,079). Regression techniques were used to study the association between OLM and employee productivity, sleep and employee productivity, and the interaction of both OLM and sleep on employee productivity.
  
  
  RESULTS
  Employees who slept less or more than 7 or 8 hours per night experienced significantly more productivity loss. Employees who adhered to all four OLM behaviors simultaneously experienced less productivity loss compared with those who did not.
  
  
  CONCLUSIONS
  Adequate sleep and adherence to the OLM cluster of behaviors are associated with significantly less productivity loss.
authors.affiliation: From HealthPartners (Dr Katz, Dr Pronk, and Ms Lowry); HealthPartners Institute for Education and Research (Drs Katz and Pronk), Minneapolis, Minn; and Harvard School of Public Health (Dr Pronk), Boston, Mass.
authors.forename: Abigail S
authors.initials: AS
authors.lastname: Katz
authors.forename: Nicolaas P
authors.initials: NP
authors.lastname: Pronk
authors.forename: Marcia
authors.initials: M
authors.lastname: Lowry
mesh_terms: D000293:Adolescent; D000328:Adult; D004526:Efficiency; D005260:Female; D015438:Health Behavior; D017048:Health Care Costs / Q000706:statistics & numerical data; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D016272:Occupational Health; D012890:Sleep; D011795:Surveys and Questionnaires; D055815:Young Adult