title: Prevalence and influencing factors of depressive symptoms among women of reproductive age in the rural areas of Hubei, China.
abstract: OBJECTIVE
  Depression is one of the most common mental disorders and a major public health problem in the Chinese population, especially among women. The current study aims to understand prevalence of depression symptoms and provide detailed epidemiological factors associated with depression among reproductive women in rural areas which was paid less attention in previous surveys.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  Face-to-face household interviews were conducted on 1058 women (age: 15-49 years) in rural areas from July 2012 to August 2012. Questionnaires were used to investigate the influencing factors of depression among women. Pearson's χ(2), logistic regression analysis and structural equation modelling (SEM) were applied to analyze the related factors.
  
  
  RESULTS
  The prevalence of depression among women was 30.7% [95% confidence interval (CI): 27.9%-33.5%]. Compared with non-depressed individuals, those with depression were more likely to be short of social support [odd ratio (OR): 0.940, P < 0.001) and have no one to talk with (OR: 0.366, P < 0.001), to be dissatisfied with the house (OR: 2.673, P < 0.001) and economy (OR: 2.268, P < 0.01) of their family, and to have great pressure (OR: 2.099, P < 0.01), negative life events (OR: 1.485, P < 0.05) and physical diseases (OR: 1.364, P < 0.05). Pressure status, social support assessment, and socio-economic status were negatively related to depression (correlation coefficient: -0.57, -0.27 and 0.17).
  
  
  CONCLUSIONS
  The high prevalence of depression among reproductive women in rural areas is of particular concern. Factors associated with depression may assist health care administrations to identify and assess high-risk women and target strategies accordingly.
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: B
authors.initials: B
authors.lastname: Cao
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: H
authors.initials: H
authors.lastname: Jiang
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
authors.forename: H
authors.initials: H
authors.lastname: Xiang
authors.affiliation: Futian District Shenzhen City Center for Disease Control and Prevention, Shenzhen, Guangdong, China.
authors.forename: B
authors.initials: B
authors.lastname: Lin
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: Q
authors.initials: Q
authors.lastname: Qin
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: F
authors.initials: F
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: W
authors.initials: W
authors.lastname: Kong
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: S
authors.initials: S
authors.lastname: Wei
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: L
authors.initials: L
authors.lastname: Liu
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: weirongy@gmail.com.
authors.forename: W
authors.initials: W
authors.lastname: Yan
authors.affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: sf_nie@mails.tjmu.edu.cn.
authors.forename: S
authors.initials: S
authors.lastname: Nie
mesh_terms: D000293:Adolescent; D000328:Adult; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003863:Depression / Q000453:epidemiology*; D005260:Female; D006801:Humans; D008016:Life Change Events; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012423:Rural Health / Q000706:statistics & numerical data*; D012944:Social Support; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D055815:Young Adult
keywords: Depression; Reproductive age; Risk factors; Rural areas; Social support