Prevalence of Depression among Chinese University Students: A Meta-Analysis
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{"title"=>"Prevalence of Depression among Chinese University Students: A Meta-Analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Xian-Yang", "last_name"=>"Lei"}, {"first_name"=>"La-Mei", "last_name"=>"Xiao"}, {"first_name"=>"Ya-Nan", "last_name"=>"Liu"}, {"first_name"=>"Ya-Min", "last_name"=>"Li"}], "year"=>2016, "source"=>"PLOS ONE", "identifiers"=>{"pmid"=>"27070790", "doi"=>"10.1371/journal.pone.0153454", "issn"=>"1932-6203"}, "id"=>"8824939c-8f57-3325-b390-819ccb9f14ef", "abstract"=>"BACKGROUND Depression is a major mental health issue worldwide, and university students with heavy burdens of study are at a high risk for depression. While a number of studies have been conducted regarding depression among university students in China, there is a lack of information regarding the national prevalence of depression among Chinese university students. Therefore, we performed a meta-analysis to statistically pool the prevalence of depression among Chinese university students. METHODS A systematic search of scientific databases was conducted, including Chinese Web of Knowledge, Embase, PubMed, Wanfang (a Chinese database) and Weipu (a Chinese database) to find relevant publications published between 1995 and December 2015. This was supplemented by a secondary review of the reference lists of all retrieved papers to find additional relevant citations. Studies published in either English or Chinese that provided prevalence estimates of depression in Chinese university students were considered. Prevalence estimates of each eligible study were extracted and pooled in our meta-analysis using a random-effects model. RESULTS A total of 39 studies conducted between 1997 and 2015 including 32,694 university students were analyzed. Our results indicate that the overall prevalence of depression among Chinese university students is 23.8% (95% CI: 19.9%-28.5%). Substantial heterogeneity in prevalence estimates was noted. Subgroup analysis revealed that the prevalence of depression among medical students is higher than among other students. CONCLUSIONS Overall, the prevalence of depression among Chinese university students is exceedingly high. This suggests that it is imperative that more attention be given to the development of appropriate mental healthcare strategies for university students in China.", "link"=>"http://www.mendeley.com/research/prevalence-depression-among-chinese-university-students-metaanalysis-1", "reader_count"=>37, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>3, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>6, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>8, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>3, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>6, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>8, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>11, "Agricultural and Biological Sciences"=>1, "Neuroscience"=>1, "Arts and Humanities"=>1, "Sports and Recreations"=>1, "Psychology"=>10, "Social Sciences"=>5, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>11}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>5}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>10}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Colombia"=>2, "Cuba"=>1, "Argentina"=>1, "United Kingdom"=>1}, "group_count"=>2}

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  • {"files"=>["https://ndownloader.figshare.com/files/4942393", "https://ndownloader.figshare.com/files/4942399"], "description"=>"<div><p>Background</p><p>Depression is a major mental health issue worldwide, and university students with heavy burdens of study are at a high risk for depression. While a number of studies have been conducted regarding depression among university students in China, there is a lack of information regarding the national prevalence of depression among Chinese university students. Therefore, we performed a meta-analysis to statistically pool the prevalence of depression among Chinese university students.</p><p>Methods</p><p>A systematic search of scientific databases was conducted, including Chinese Web of Knowledge, Embase, PubMed, Wanfang (a Chinese database) and Weipu (a Chinese database) to find relevant publications published between 1995 and December 2015. This was supplemented by a secondary review of the reference lists of all retrieved papers to find additional relevant citations. Studies published in either English or Chinese that provided prevalence estimates of depression in Chinese university students were considered. Prevalence estimates of each eligible study were extracted and pooled in our meta-analysis using a random-effects model.</p><p>Results</p><p>A total of 39 studies conducted between 1997 and 2015 including 32,694 university students were analyzed. Our results indicate that the overall prevalence of depression among Chinese university students is 23.8% (95% CI: 19.9%–28.5%). Substantial heterogeneity in prevalence estimates was noted. Subgroup analysis revealed that the prevalence of depression among medical students is higher than among other students.</p><p>Conclusions</p><p>Overall, the prevalence of depression among Chinese university students is exceedingly high. This suggests that it is imperative that more attention be given to the development of appropriate mental healthcare strategies for university students in China.</p></div>", "links"=>[], "tags"=>["Chinese university students", "depression", "prevalence estimates", "CI", "Chinese University Students", "university students", "Chinese database"], "article_id"=>3173536, "categories"=>["Biotechnology", "Science Policy", "Mental Health"], "users"=>["Xian-Yang Lei", "La-Mei Xiao", "Ya-Nan Liu", "Ya-Min Li"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0153454.s001", "https://dx.doi.org/10.1371/journal.pone.0153454.s002"], "stats"=>{"downloads"=>2, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Prevalence_of_Depression_among_Chinese_University_Students_A_Meta_Analysis/3173536", "title"=>"Prevalence of Depression among Chinese University Students: A Meta-Analysis", "pos_in_sequence"=>1, "defined_type"=>4, "published_date"=>"2016-04-12 14:09:47"}
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  • {"files"=>["https://ndownloader.figshare.com/files/4942453"], "description"=>"<p>Characteristics of Studies on the Prevalence of Depression among Chinese College Students.</p>", "links"=>[], "tags"=>["Chinese university students", "depression", "prevalence estimates", "CI", "Chinese University Students", "university students", "Chinese database"], "article_id"=>3173587, "categories"=>["Biotechnology", "Science Policy", "Mental Health"], "users"=>["Xian-Yang Lei", "La-Mei Xiao", "Ya-Nan Liu", "Ya-Min Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153454.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Characteristics_of_Studies_on_the_Prevalence_of_Depression_among_Chinese_College_Students_/3173587", "title"=>"Characteristics of Studies on the Prevalence of Depression among Chinese College Students.", "pos_in_sequence"=>6, "defined_type"=>3, "published_date"=>"2016-04-12 14:09:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/4942420"], "description"=>"<p>Forest plot of the prevalence of depression for the total population.</p>", "links"=>[], "tags"=>["Chinese university students", "depression", "prevalence estimates", "CI", "Chinese University Students", "university students", "Chinese database"], "article_id"=>3173557, "categories"=>["Biotechnology", "Science Policy", "Mental Health"], "users"=>["Xian-Yang Lei", "La-Mei Xiao", "Ya-Nan Liu", "Ya-Min Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153454.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Forest_plot_of_the_prevalence_of_depression_for_the_total_population_/3173557", "title"=>"Forest plot of the prevalence of depression for the total population.", "pos_in_sequence"=>3, "defined_type"=>1, "published_date"=>"2016-04-12 14:09:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/4942441"], "description"=>"<p>Filled funnel plot of the included studies (log odds ratio, horizontal axis; standard error, vertical axis).</p>", "links"=>[], "tags"=>["Chinese university students", "depression", "prevalence estimates", "CI", "Chinese University Students", "university students", "Chinese database"], "article_id"=>3173575, "categories"=>["Biotechnology", "Science Policy", "Mental Health"], "users"=>["Xian-Yang Lei", "La-Mei Xiao", "Ya-Nan Liu", "Ya-Min Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153454.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Filled_funnel_plot_of_the_included_studies_log_odds_ratio_horizontal_axis_standard_error_vertical_axis_/3173575", "title"=>"Filled funnel plot of the included studies (log odds ratio, horizontal axis; standard error, vertical axis).", "pos_in_sequence"=>5, "defined_type"=>1, "published_date"=>"2016-04-12 14:09:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/4942459"], "description"=>"<p>Subgroup Analysis of Depression among Chinese College Students According to Different Categories.</p>", "links"=>[], "tags"=>["Chinese university students", "depression", "prevalence estimates", "CI", "Chinese University Students", "university students", "Chinese database"], "article_id"=>3173596, "categories"=>["Biotechnology", "Science Policy", "Mental Health"], "users"=>["Xian-Yang Lei", "La-Mei Xiao", "Ya-Nan Liu", "Ya-Min Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153454.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Subgroup_Analysis_of_Depression_among_Chinese_College_Students_According_to_Different_Categories_/3173596", "title"=>"Subgroup Analysis of Depression among Chinese College Students According to Different Categories.", "pos_in_sequence"=>7, "defined_type"=>3, "published_date"=>"2016-04-12 14:09:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/4942411"], "description"=>"<p><i>From</i>: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). <i>P</i>referred <i>R</i>eporting /terns for Systematic Reviews and <i>M</i>eta-<i>A</i>nalyses: The PRISMA Statement. PLoS Med 6(6): e1000097. doi:<a href=\"http://dx.doi.org/10.1371/journal.pmed1000097\" target=\"_blank\">10.1371/journal.pmed1000097</a></p> <p>For more information, visit <a href=\"http://www.prisma-statement.org\" target=\"_blank\">www.prisma-statement.org</a>.</p>", "links"=>[], "tags"=>["Chinese university students", "depression", "prevalence estimates", "CI", "Chinese University Students", "university students", "Chinese database"], "article_id"=>3173548, "categories"=>["Biotechnology", "Science Policy", "Mental Health"], "users"=>["Xian-Yang Lei", "La-Mei Xiao", "Ya-Nan Liu", "Ya-Min Li"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153454.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Flow_diagram_of_the_study_selection_process_/3173548", "title"=>"Flow diagram of the study selection process.", "pos_in_sequence"=>2, "defined_type"=>1, "published_date"=>"2016-04-12 14:09:47"}

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{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}
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