Literature DB >> 29053974

Depression as seen through the eyes of rural Chinese women: Implications for help-seeking and the future of mental health care in China.

Peiyuan Qiu1, Eric D Caine2, Fengsu Hou3, Catherine Cerulli2, Marsha N Wittink2.   

Abstract

BACKGROUND: As part of a larger epidemiological study of depression among rural Chinese women, we sought to understand their explanatory models of depression. We explored how participants describe depression, to what cause they attribute depression, and what sources of treatment they would recommend.
METHODS: Participants first were assessed with the Center for Epidemiological-Depression scale (CES-D), with a cut-point of 16 or greater indicative of depression. The Short Explanatory Model Interview (SEMI), a semi-structured questionnaire, was our primary tool for exploring participants' explanatory models relating to a vignette describing a rural Chinese woman with depression.
RESULTS: Among the 416 women who consented and completed the SEMI, 277(66.6%) reported that the woman in the vignette had something wrong with her health. Among these, only 8(2.9%) women provided a specific psychiatric name for the condition, while 150(54.2%) provided non-specific psychiatric disease names or affective symptoms, and 78(28.2%)of the sample provided physical disease names. Participants attributed causes largely to internal factors (41.5%) or external factors (36.8%). In terms of help-seeking, 101(36.4%) said the woman in the vignette should see a doctor, 70(25.3%) indicated that she should solve the problem herself, and 42(15.2%) recommended seeking support from family members and friends. We did not find any differences in recognition, causal attribution, and help-seeking suggestions between women with a CES-D ≥ 16 and those with CES-D < 16. LIMITATIONS: The use of a vignette to prompt discussion was not the same as talking about real-life personal situations.
CONCLUSION: Our results point to potential challenges and opportunities that lay ahead as China develops mental health services in its vast rural areas among women who may be at risk for developing depression. We found that our participants often attributed their symptoms to internal or external social causes, and preferred not speaking with family members and friends. Our findings suggest that rural Chinese women may be reticent to recognize or describe categorical concepts such as "depression" as a health problem, and they invite further consideration about how best to develop new health services in China's rural regions.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Help-seeking; Rural China; SEMI; Short Explanatory Model Interview; Women

Mesh:

Year:  2017        PMID: 29053974      PMCID: PMC5805647          DOI: 10.1016/j.jad.2017.10.016

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  51 in total

1.  The stigma of mental illness in Asian cultures.

Authors:  C H Ng
Journal:  Aust N Z J Psychiatry       Date:  1997-06       Impact factor: 5.744

2.  Mental health knowledge, attitude and help-seeking tendency: a Malaysian context.

Authors:  R Yeap; W Y Low
Journal:  Singapore Med J       Date:  2009-12       Impact factor: 1.858

3.  "Mental health literacy": a survey of the public's ability to recognise mental disorders and their beliefs about the effectiveness of treatment.

Authors:  A F Jorm; A E Korten; P A Jacomb; H Christensen; B Rodgers; P Pollitt
Journal:  Med J Aust       Date:  1997-02-17       Impact factor: 7.738

4.  Reliability and validity of the Center for Epidemiological Studies Depression Scale in 2 special adult samples from rural China.

Authors:  Jie Zhang; Weiwei Sun; Yuanyuan Kong; Cuntong Wang
Journal:  Compr Psychiatry       Date:  2012-04-18       Impact factor: 3.735

5.  Shame, perceived knowledge and satisfaction associated with mental health as predictors of attitude patterns towards help-seeking.

Authors:  N Rüsch; M Müller; V Ajdacic-Gross; S Rodgers; P W Corrigan; W Rössler
Journal:  Epidemiol Psychiatr Sci       Date:  2013-07-18       Impact factor: 6.892

6.  Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey.

Authors:  Michael R Phillips; Jingxuan Zhang; Qichang Shi; Zhiqiang Song; Zhijie Ding; Shutao Pang; Xianyun Li; Yali Zhang; Zhiqing Wang
Journal:  Lancet       Date:  2009-06-13       Impact factor: 79.321

7.  Help-seeking intentions and subsequent 12-month mental health service use in Chinese primary care patients with depressive symptoms.

Authors:  Weng Yee Chin; Kit T Y Chan; Cindy L K Lam; T P Lam; Eric Y F Wan
Journal:  BMJ Open       Date:  2015-01-28       Impact factor: 2.692

8.  Number and characteristics of medical professionals working in Chinese mental health facilities.

Authors:  Caiping Liu; Lijin Chen; Bin Xie; Jun Yan; Tongling Jin; Zhiguo Wu
Journal:  Shanghai Arch Psychiatry       Date:  2013-10

9.  Mental health literacy among residents in Shanghai.

Authors:  Jingyi Wang; Yanling He; Qing Jiang; Jun Cai; Weiling Wang; Qingzhi Zeng; Juming Miao; Xuejun Qi; Jianxin Chen; Qian Bian; Chun Cai; Ning Ma; Ziqing Zhu; Mingyuan Zhang
Journal:  Shanghai Arch Psychiatry       Date:  2013-08

10.  The Prevalence of Distress and Depression among Women in Rural Sichuan Province.

Authors:  Peiyuan Qiu; Eric D Caine; Fengsu Hou; Catherine Cerulli; Marsha N Wittink; Jin Li
Journal:  PLoS One       Date:  2016-08-15       Impact factor: 3.240

View more
  10 in total

1.  Factors associated with sleep quality among "left-behind women" in rural China: a cross-sectional study.

Authors:  Yu Wang; Chunying Cui; Ying Zhang; Lie Wang
Journal:  Sleep Breath       Date:  2020-10-12       Impact factor: 2.816

2.  Age, sex, residence, and region-specific differences in prevalence and patterns of multimorbidity among older Chinese: evidence from Chinese Longitudinal Healthy Longevity Survey.

Authors:  Siyue Han; Guangju Mo; Tianjing Gao; Qing Sun; Huaqing Liu; Min Zhang
Journal:  BMC Public Health       Date:  2022-06-04       Impact factor: 4.135

3.  Factor Structures of General Health Questionnaire-12 Within the Number of Kins Among the Rural Residents in China.

Authors:  Ming Guan; Bingxue Han
Journal:  Front Psychol       Date:  2019-08-02

4.  Barriers to Professional Mental Health Help-Seeking Among Chinese Adults: A Systematic Review.

Authors:  Wei Shi; Zhuozhuo Shen; Siyuan Wang; Brian J Hall
Journal:  Front Psychiatry       Date:  2020-05-20       Impact factor: 4.157

Review 5.  Further Reduction in Help-Seeking Behaviors Amidst Additional Barriers to Mental Health Treatment in Asian Populations: A Contemporary Review.

Authors:  Tatsuhiko Naito; Justin Chin; Tae Un Kim; Simrat Veera; Michael Jeannette; Christine M Lomiguen
Journal:  Cureus       Date:  2020-11-12

6.  Association between mental health and community support in lockdown communities during the COVID-19 pandemic: evidence from rural China.

Authors:  Ziyu Jia; Shijia Xu; Zican Zhang; Zhengyu Cheng; Haoqing Han; Haoxiang Xu; Mingtian Wang; Hong Zhang; Yi Zhou; Zhengxu Zhou
Journal:  J Rural Stud       Date:  2021-01-08

7.  Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey.

Authors:  Sameeksha Hegde; Ravichandra Karkal
Journal:  Indian J Psychol Med       Date:  2021-12-01

8.  Depression and its correlation with social support and health-promoting lifestyles among Chinese university students: a cross-sectional study.

Authors:  Zaili Tang; Shuidong Feng; Jing Lin
Journal:  BMJ Open       Date:  2021-07-05       Impact factor: 2.692

9.  Understanding the public's profile of mental health literacy in China: a nationwide study.

Authors:  Debbie Huang; Lawrence H Yang; Bernice A Pescosolido
Journal:  BMC Psychiatry       Date:  2019-01-14       Impact factor: 3.630

10.  Urban-rural disparity in prevalence of multimorbidity in China: a cross-sectional nationally representative study.

Authors:  Xiaochen Ma; Yu He; Jin Xu
Journal:  BMJ Open       Date:  2020-11-16       Impact factor: 2.692

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.