Prevalence of depression among women with polycystic ovary syndrome in mainland China: a systematic review and meta-analysis
Polycystic ovary syndrome (PCOS), a prevalent endocrine disorder among women, is frequently comorbid with depression. This systematic review and meta-analysis aimed to estimate the prevalence of depression among women with PCOS in mainland China. A comprehensive literature search was conducted in Pu...
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| Veröffentlicht in: | BMC psychiatry 2024-12, Vol.24 (1), p.920-13, Article 920 |
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| creator | Hong, Zhenzhen Wu, Peiya Zhuang, Huihong Chen, Liying Hong, Shanshan Qin, Jiawei |
| description | Polycystic ovary syndrome (PCOS), a prevalent endocrine disorder among women, is frequently comorbid with depression. This systematic review and meta-analysis aimed to estimate the prevalence of depression among women with PCOS in mainland China.
A comprehensive literature search was conducted in PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and Chinese databases (CNKI, WanFang, and VIP) up to August 2024. Random-effects models were applied to estimate the pooled prevalence of depression with 95% confidence intervals. The methodological quality assessment was assessed using the risk of bias tool. The primary outcome was the pooled prevalence of depression in women with PCOS.
Thirty-nine studies encompassing 9796 participants were analyzed. The pooled prevalence of depression was 37% (95% CI, 29%-44%), with substantial heterogeneity (I
= 96%, p |
| doi_str_mv | 10.1186/s12888-024-06378-8 |
| format | Article |
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A comprehensive literature search was conducted in PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and Chinese databases (CNKI, WanFang, and VIP) up to August 2024. Random-effects models were applied to estimate the pooled prevalence of depression with 95% confidence intervals. The methodological quality assessment was assessed using the risk of bias tool. The primary outcome was the pooled prevalence of depression in women with PCOS.
Thirty-nine studies encompassing 9796 participants were analyzed. The pooled prevalence of depression was 37% (95% CI, 29%-44%), with substantial heterogeneity (I
= 96%, p < 0.001). In subgroup analysis, the prevalence of depression among women with PCOS in West, Central, East, and Northeast China was 37%, 37%, 38%, and 25%, respectively. The prevalence of depression among women with PCOS surveyed before and after 2015 was 40% and 35%, respectively. The prevalence of depression among women with PCOS aged < 26 and > / = 26 years were 42% and 33%, respectively. The prevalence of depression among women with PCOS that participants' BMI < 24 and > / = 24 kg/m
were 38% and 34%, respectively. The prevalence of depression among women with PCOS that used Self-rating Depression Scale (SDS), Patient Health Questionnaire-9 (PHQ-9), Beck Depression Inventory (BDI), and Hospital Anxiety and Depression Scale (HADS) were 40%, 34%, 31%, and 24%, respectively. Sensitivity analysis and meta-regression confirmed the stability of the findings. Evidence of publication bias was detected.
The high prevalence of depression among women with PCOS in China underscores the need for integrated screening and management. The results of this meta-analysis show high heterogeneity and indicate publication bias, which reduces the generalizability of the findings. Future research should address heterogeneity and enhance the applicability of results.</description><identifier>ISSN: 1471-244X</identifier><identifier>EISSN: 1471-244X</identifier><identifier>DOI: 10.1186/s12888-024-06378-8</identifier><identifier>PMID: 39696087</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Age ; Bias ; China ; China - epidemiology ; Chronic illnesses ; Clinical trials ; Comorbidity ; Complications and side effects ; Demographic aspects ; Depression ; Depression - epidemiology ; Depression - psychology ; Depression, Mental ; Distribution ; Emotional disorders ; Endocrine disorders ; Female ; Humans ; Infertility ; Medical screening ; Mental depression ; Meta-analysis ; Ovaries ; Patients ; Polycystic ovary syndrome ; Polycystic Ovary Syndrome - epidemiology ; Polycystic Ovary Syndrome - psychology ; Prevalence ; Psychological aspects ; Quality control ; Questionnaires ; Risk factors ; Sensitivity analysis ; Statistical analysis ; Stein-Leventhal syndrome ; Systematic Review ; Womens health</subject><ispartof>BMC psychiatry, 2024-12, Vol.24 (1), p.920-13, Article 920</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c445t-79ce884444f20b0059c7727df13a14946c58d300560ced7ff001a1134a45bdca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11656941/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11656941/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,313,314,725,778,782,790,862,883,2098,27905,27907,27908,53774,53776</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39696087$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hong, Zhenzhen</creatorcontrib><creatorcontrib>Wu, Peiya</creatorcontrib><creatorcontrib>Zhuang, Huihong</creatorcontrib><creatorcontrib>Chen, Liying</creatorcontrib><creatorcontrib>Hong, Shanshan</creatorcontrib><creatorcontrib>Qin, Jiawei</creatorcontrib><title>Prevalence of depression among women with polycystic ovary syndrome in mainland China: a systematic review and meta-analysis</title><title>BMC psychiatry</title><addtitle>BMC Psychiatry</addtitle><description>Polycystic ovary syndrome (PCOS), a prevalent endocrine disorder among women, is frequently comorbid with depression. This systematic review and meta-analysis aimed to estimate the prevalence of depression among women with PCOS in mainland China.
A comprehensive literature search was conducted in PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and Chinese databases (CNKI, WanFang, and VIP) up to August 2024. Random-effects models were applied to estimate the pooled prevalence of depression with 95% confidence intervals. The methodological quality assessment was assessed using the risk of bias tool. The primary outcome was the pooled prevalence of depression in women with PCOS.
Thirty-nine studies encompassing 9796 participants were analyzed. The pooled prevalence of depression was 37% (95% CI, 29%-44%), with substantial heterogeneity (I
= 96%, p < 0.001). In subgroup analysis, the prevalence of depression among women with PCOS in West, Central, East, and Northeast China was 37%, 37%, 38%, and 25%, respectively. The prevalence of depression among women with PCOS surveyed before and after 2015 was 40% and 35%, respectively. The prevalence of depression among women with PCOS aged < 26 and > / = 26 years were 42% and 33%, respectively. The prevalence of depression among women with PCOS that participants' BMI < 24 and > / = 24 kg/m
were 38% and 34%, respectively. The prevalence of depression among women with PCOS that used Self-rating Depression Scale (SDS), Patient Health Questionnaire-9 (PHQ-9), Beck Depression Inventory (BDI), and Hospital Anxiety and Depression Scale (HADS) were 40%, 34%, 31%, and 24%, respectively. Sensitivity analysis and meta-regression confirmed the stability of the findings. Evidence of publication bias was detected.
The high prevalence of depression among women with PCOS in China underscores the need for integrated screening and management. The results of this meta-analysis show high heterogeneity and indicate publication bias, which reduces the generalizability of the findings. Future research should address heterogeneity and enhance the applicability of results.</description><subject>Adult</subject><subject>Age</subject><subject>Bias</subject><subject>China</subject><subject>China - epidemiology</subject><subject>Chronic illnesses</subject><subject>Clinical trials</subject><subject>Comorbidity</subject><subject>Complications and side effects</subject><subject>Demographic aspects</subject><subject>Depression</subject><subject>Depression - epidemiology</subject><subject>Depression - psychology</subject><subject>Depression, Mental</subject><subject>Distribution</subject><subject>Emotional disorders</subject><subject>Endocrine disorders</subject><subject>Female</subject><subject>Humans</subject><subject>Infertility</subject><subject>Medical screening</subject><subject>Mental depression</subject><subject>Meta-analysis</subject><subject>Ovaries</subject><subject>Patients</subject><subject>Polycystic ovary syndrome</subject><subject>Polycystic Ovary Syndrome - epidemiology</subject><subject>Polycystic Ovary Syndrome - psychology</subject><subject>Prevalence</subject><subject>Psychological aspects</subject><subject>Quality control</subject><subject>Questionnaires</subject><subject>Risk factors</subject><subject>Sensitivity analysis</subject><subject>Statistical analysis</subject><subject>Stein-Leventhal syndrome</subject><subject>Systematic Review</subject><subject>Womens health</subject><issn>1471-244X</issn><issn>1471-244X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUsuKFDEULURxxtEfcCEBN25qzLMq5UaGxsfAgC4U3IXbeXSnqUrapLqbAj_e1PQ4TosJJOHec8995FTVS4IvCZHN20yolLLGlNe4Ya2s5aPqnPCW1JTzH48fvM-qZzlvMCatFORpdca6pmuwbM-rX1-T3UNvg7YoOmTsNtmcfQwIhhhW6BAHG9DBj2u0jf2kpzx6jeIe0oTyFEwqfuQDGsCHHoJBi7UP8A5B8ebRDjDDSwpvD2h2D3aEGgL0U_b5efXEQZ_ti7v7ovr-8cO3xef65sun68XVTa05F2PddtpKyctyFC8xFp1uW9oaRxgQ3vFGC2lYsTdYW9M6VxoFQhgHLpZGA7uoro-8JsJGbZMfSvkqgle3hphWClIptLcKiADOcUMpXXJnSYe5c4YzwQ3HTC8L1_sj13a3HKzRNowJ-hPSU0_wa7WKe0VII5qOk8Lw5o4hxZ87m0c1-KxtX8Zn4y4rNn9bOQgv0Nf_QDdxl8r0ZpSghY524i9qVT5S-eBiSaxnUnUlKRaUY8IK6vI_qLKNHbyOwTpf7CcB9BigU8w5WXffJMFqFqA6ClAVAapbASpZgl49HM99yB_Fsd8ihdZX</recordid><startdate>20241218</startdate><enddate>20241218</enddate><creator>Hong, Zhenzhen</creator><creator>Wu, Peiya</creator><creator>Zhuang, Huihong</creator><creator>Chen, Liying</creator><creator>Hong, Shanshan</creator><creator>Qin, Jiawei</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241218</creationdate><title>Prevalence of depression among women with polycystic ovary syndrome in mainland China: a systematic review and meta-analysis</title><author>Hong, Zhenzhen ; 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This systematic review and meta-analysis aimed to estimate the prevalence of depression among women with PCOS in mainland China.
A comprehensive literature search was conducted in PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and Chinese databases (CNKI, WanFang, and VIP) up to August 2024. Random-effects models were applied to estimate the pooled prevalence of depression with 95% confidence intervals. The methodological quality assessment was assessed using the risk of bias tool. The primary outcome was the pooled prevalence of depression in women with PCOS.
Thirty-nine studies encompassing 9796 participants were analyzed. The pooled prevalence of depression was 37% (95% CI, 29%-44%), with substantial heterogeneity (I
= 96%, p < 0.001). In subgroup analysis, the prevalence of depression among women with PCOS in West, Central, East, and Northeast China was 37%, 37%, 38%, and 25%, respectively. The prevalence of depression among women with PCOS surveyed before and after 2015 was 40% and 35%, respectively. The prevalence of depression among women with PCOS aged < 26 and > / = 26 years were 42% and 33%, respectively. The prevalence of depression among women with PCOS that participants' BMI < 24 and > / = 24 kg/m
were 38% and 34%, respectively. The prevalence of depression among women with PCOS that used Self-rating Depression Scale (SDS), Patient Health Questionnaire-9 (PHQ-9), Beck Depression Inventory (BDI), and Hospital Anxiety and Depression Scale (HADS) were 40%, 34%, 31%, and 24%, respectively. Sensitivity analysis and meta-regression confirmed the stability of the findings. Evidence of publication bias was detected.
The high prevalence of depression among women with PCOS in China underscores the need for integrated screening and management. The results of this meta-analysis show high heterogeneity and indicate publication bias, which reduces the generalizability of the findings. Future research should address heterogeneity and enhance the applicability of results.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39696087</pmid><doi>10.1186/s12888-024-06378-8</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Age Bias China China - epidemiology Chronic illnesses Clinical trials Comorbidity Complications and side effects Demographic aspects Depression Depression - epidemiology Depression - psychology Depression, Mental Distribution Emotional disorders Endocrine disorders Female Humans Infertility Medical screening Mental depression Meta-analysis Ovaries Patients Polycystic ovary syndrome Polycystic Ovary Syndrome - epidemiology Polycystic Ovary Syndrome - psychology Prevalence Psychological aspects Quality control Questionnaires Risk factors Sensitivity analysis Statistical analysis Stein-Leventhal syndrome Systematic Review Womens health |
| title | Prevalence of depression among women with polycystic ovary syndrome in mainland China: a systematic review and meta-analysis |
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