title: Health risk factors associated with presenteeism in a Chinese enterprise.
abstract: BACKGROUND
  Chronic health problems are prevalent in China and may lead to loss of work productivity through presenteeism.
  
  
  OBJECTIVE
  To investigate the prevalence of potential risk factors for presenteeism in Chinese workers and the strength of their association with reported presenteeism.
  
  
  METHODS
  A cross-sectional survey of employees in a Chinese petrochemical corporation included a medical examination report and questionnaire data on demographic characteristics, potential risk factors for presenteeism and presenteeism evaluation. Data were analysed using Pearson's chi-square tests, t-tests and logistic regression modelling.
  
  
  RESULTS
  There were 1506 responses available for analysis; response rate 92%. The prevalence of presenteeism was 15%. Univariate analysis indicated a significantly higher prevalence of presenteeism in employees who were male, age ≤35 years, single, divorced or widowed and overweight or obese. Higher presenteeism was found in participants with high blood pressure, hypertriglyceridemia, hypercholesterolemia, insufficient physical activity, cigarette smoking, alcohol use, insufficient cereal intake, life dissatisfaction and job dissatisfaction. The prevalence of presenteeism was significantly associated with the number of potential risk factors. Logistic regression disclosed six independent risk factors associated with presenteeism: hypercholesterolemia, high blood pressure, insufficient physical activity, alcohol drinking, insufficient cereal intake and life dissatisfaction.
  
  
  CONCLUSIONS
  Chronic conditions, health risk factors and presenteeism were prevalent in employees of a Chinese petrochemical corporation. Risk factors for other health conditions were associated with presenteeism. Health management programmes should be implemented to reduce risk factors and promote the health of employees in an effort to reduce presenteeism.
authors.affiliation: School of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang, China.
authors.forename: J
authors.initials: J
authors.lastname: Yu
authors.affiliation: Department of General Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning, China.
authors.forename: S
authors.initials: S
authors.lastname: Wang
authors.affiliation: School of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang, China, Department of General Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning, China. cmu1h@aliyun.com.
authors.forename: X
authors.initials: X
authors.lastname: Yu
mesh_terms: D000041:Absenteeism; D000328:Adult; D017677:Age Distribution; D002681:China / Q000453:epidemiology; D002908:Chronic Disease; D003430:Cross-Sectional Studies; D005260:Female; D006293:Health Promotion; D006801:Humans; D007221:Industry; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000453:epidemiology / Q000517:prevention & control*; D016272:Occupational Health; D000069597:Presenteeism / Q000706:statistics & numerical data; D012307:Risk Factors; D017678:Sex Distribution; D011795:Surveys and Questionnaires; D017132:Workplace
keywords: Chronic conditions; cross-sectional survey; health risk factors; occupational; presenteeism; productivity.