title: Impact of premature ovarian failure on mortality and morbidity among Chinese women.
abstract: OBJECTIVE
  To evaluate associations of premature ovarian failure (POF) with mortality and morbidity in Asian populations.
  
  
  METHODS
  We identified 1,003 cases of POF among 36,402 postmenopausal women who participated in the Shanghai Women's Health Study, a population-based cohort study. Cox regression and logistic regression models were applied in data analysis.
  
  
  RESULTS
  After adjustment for potential confounding factors, we found that POF increased the risk of total and cancer-specific mortality (HR (95%CIs): 1.29 (1.08-1.54) and 1.38 (1.05-1.81), respectively). POF was also associated with high prevalence of autoimmune disease (OR (95%CI): 1.56 (1.04-2.35)) but decreased incidence of breast cancer (OR (95%CI): 0.59 (0.38-0.91)). Similar results were observed when hormone replacement therapy users were excluded from the analysis. POF is associated with high waist-to-hip ratio.
  
  
  CONCLUSIONS
  Our results suggest that women with POF experience increased mortality and that these women may benefit from heightened surveillance and appropriate interventions.
authors.affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States of America; Currently at Department of Biostatistics, Public Health College, Harbin Medical University, Harbin, P. R. China.
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Wu
authors.affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States of America.
authors.forename: Hui
authors.initials: H
authors.lastname: Cai
authors.affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States of America; Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.
authors.forename: Asha
authors.initials: A
authors.lastname: Kallianpur
authors.affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, P. R. China.
authors.forename: Honglan
authors.initials: H
authors.lastname: Li
authors.affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States of America.
authors.forename: Gong
authors.initials: G
authors.lastname: Yang
authors.affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, P. R. China.
authors.forename: Jing
authors.initials: J
authors.lastname: Gao
authors.affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, P. R. China.
authors.forename: Yong-Bing
authors.initials: YB
authors.lastname: Xiang
authors.affiliation: Occupational Epidemiology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
authors.forename: Bu-Tian
authors.initials: BT
authors.lastname: Ji
authors.affiliation: Department of Epidemiology, Shanghai Cancer Institute, Shanghai, P. R. China.
authors.lastname: Yu-Tang
authors.affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States of America.
authors.forename: Wei
authors.initials: W
authors.lastname: Zheng
authors.affiliation: Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, United States of America.
authors.forename: Xiao-Ou
authors.initials: XO
authors.lastname: Shu
mesh_terms: D000328:Adult; D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data; D001327:Autoimmune Diseases / Q000208:ethnology; D001943:Breast Neoplasms / Q000208:ethnology; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D005260:Female; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008875:Middle Aged; D009017:Morbidity / Q000639:trends*; D009026:Mortality / Q000639:trends*; D015995:Prevalence; D016649:Primary Ovarian Insufficiency / Q000208:ethnology*; D016016:Proportional Hazards Models; D049629:Waist-Hip Ratio; D016387:Women's Health / Q000706:statistics & numerical data*