title: A dose-response relationship between long working hours and unmet need for access to hospital facilities.
abstract: OBJECTIVE
  Lack of access to hospital facilities, indicating unmet healthcare need, plays an important role in health inequity in the workplace. We aimed to investigate the association between long working hours and unmet healthcare need.
  
  
  METHODS
  We used data from the Korea National Health and Nutrition Examination Surveys collected during 2007-2012, which included 8369 participants (4765 males, 3604 females) aged 20-54 years, who were paid workers. We used a logistic regression model with gender stratification to investigate the association between working hours and unmet healthcare need.
  
  
  RESULTS
  Of the 8369 participants, 855 males (17.94%) and 981 females (27.22%) experienced unmet healthcare need. After adjusting for covariates, and compared to 30-39 working hours per week, the odds ratios (OR) of unmet healthcare need were 1.07 [(95% confidence interval (95% CI) 0.76-1.51], 1.46 (95% CI 1.03-2.07), and 1.57 (95% CI 1.11-2.23) in males, and 1.13 (95% CI 0.92-1.40), 1.30 (95% CI 0.99-1.69), and 1.60 (95% CI 1.21-2.10) in females, for 40-49, 50-59, and ≥ 60 work hours per week, respectively. There was a dose-response relationship between working hours per week and unmet healthcare need in both genders.
  
  
  CONCLUSIONS
  Those who work long hours are more likely to have unmet healthcare needs, the cause of which seems to be lack of time.
authors: The Institute for Occupational Health, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea. flyinyou@gmail.com.
authors: Hongdeok
authors: H
authors: Soek
authors: Jong-Uk
authors: JU
authors: Won
authors: Tae Il
authors: TI
authors: Lee
authors: Yeong-Kwang
authors: YK
authors: Kim
authors: Wanhyung
authors: W
authors: Lee
authors: June-Hee
authors: JH
authors: Lee
authors: Jaehoon
authors: J
authors: Roh
authors: Jin-Ha
authors: JH
authors: Yoon
mesh_terms: D000328:Adult; D003430:Cross-Sectional Studies; D005260:Female; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D054625:Healthcare Disparities / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D056910:Republic of Korea; D014940:Work Schedule Tolerance; D016526:Workload