Psychiatric epidemiological surveys in China 1960-2010: How real is the increase of mental disorders?
Current Opinion in Psychiatry, ISSN: 0951-7367, Vol: 24, Issue: 4, Page: 324-330
2011
- 32Citations
- 36Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations32
- Citation Indexes31
- CrossRef31
- 31
- Policy Citations1
- 1
- Captures36
- Readers36
- 36
Article Description
Purpose of review: Community psychiatric epidemiological surveys over the last five decades have revealed a dramatic increase in the prevalence of mental disorders in China. This article summarizes the main surveys and attempts to interpret the increase of prevalence from a methodological perspective. Recent findings: Regional and national surveys conducted in China during 1960-1990 focused on severe mental disorders and revealed very low and stable rates of disorders. By contrast, those performed in the last decade, whether psychiatrists or lay interviewers were used, have shown much higher and more 'reliable' rates comparable to those found in high-income countries. This is especially so for depression and anxiety disorders. Summary: Given the sociopolitical turmoil that had previously plagued people in China, the dramatic rise in prevalence estimates of mental disorders in recent years cannot be simply interpreted as a substantive deterioration of mental health following rapid social change. Global and local factors that shape research methodology aimed at showing that mental disorders are common may play an important role in the dramatic increase. Future research in China should move beyond descriptive epidemiology. It should also address policy relevant issues in view of the limited resources available for mental health interventions. © 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79958694132&origin=inward; http://dx.doi.org/10.1097/yco.0b013e3283477b0e; http://www.ncbi.nlm.nih.gov/pubmed/21602685; http://journals.lww.com/00001504-201107000-00012; http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00001504-201107000-00012; https://dx.doi.org/10.1097/yco.0b013e3283477b0e; https://journals.lww.com/co-psychiatry/Abstract/2011/07000/Psychiatric_epidemiological_surveys_in_China.12.aspx
Ovid Technologies (Wolters Kluwer Health)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know