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Predictors and incidence of depression and anxiety in women undergoing infertility treatment: A cross-sectional study
The global incidence of infertility is increasing year by year, and the association between infertility and mental illness has been widely concerned. The aim of this study was to investigate the incidence of anxiety and depression in infertile women in China and explore the risk factors which might...
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Published in: | PloS one 2023-04, Vol.18 (4), p.e0284414-e0284414 |
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description | The global incidence of infertility is increasing year by year, and the association between infertility and mental illness has been widely concerned. The aim of this study was to investigate the incidence of anxiety and depression in infertile women in China and explore the risk factors which might lead to anxiety and depression. From January 2020 to December 2020, female infertile patients who received assisted reproduction technology (ART) treatment at West China Second Hospital were recruited and a total of 1712 eligible female patients were finally enrolled in this study. Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionaire-9 (PHQ-9) were used to evaluate the patients' psychological status. The reliability of all scales was evaluated by Cronbach's α and Spearman-Brown half coefficient, and Kaiser-Meyer-Olkin (KMO) value was calculated by factor analysis to evaluate validity. Univariate and multivariate logistic regression analysis were applied for assessing independent risk factors of anxiety and depression, respectively. The incidence of anxiety and depression in infertile women were 25.2% and 31.3%, respectively. Cronbach's α coefficients and Spearman-Brown half-fold coefficients of GAD-7 and PHQ-9 were 0.870, 0.825, 0.852 and 0.793, respectively. Univariate and multivariate logistic regression analysis showed that education level (junior college degree or above, OR:1. 6, 95% CI: 1.2-2.1, P = 0.003), somatic symptoms (severe somatic symptoms, OR:15.2, 95%CI: 5.6-41.3, P35) are prone to be complicated with depression symptoms. |
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The aim of this study was to investigate the incidence of anxiety and depression in infertile women in China and explore the risk factors which might lead to anxiety and depression. From January 2020 to December 2020, female infertile patients who received assisted reproduction technology (ART) treatment at West China Second Hospital were recruited and a total of 1712 eligible female patients were finally enrolled in this study. Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionaire-9 (PHQ-9) were used to evaluate the patients' psychological status. The reliability of all scales was evaluated by Cronbach's α and Spearman-Brown half coefficient, and Kaiser-Meyer-Olkin (KMO) value was calculated by factor analysis to evaluate validity. Univariate and multivariate logistic regression analysis were applied for assessing independent risk factors of anxiety and depression, respectively. The incidence of anxiety and depression in infertile women were 25.2% and 31.3%, respectively. Cronbach's α coefficients and Spearman-Brown half-fold coefficients of GAD-7 and PHQ-9 were 0.870, 0.825, 0.852 and 0.793, respectively. Univariate and multivariate logistic regression analysis showed that education level (junior college degree or above, OR:1. 6, 95% CI: 1.2-2.1, P = 0.003), somatic symptoms (severe somatic symptoms, OR:15.2, 95%CI: 5.6-41.3, P<0.001), sleep quality (poor sleep quality, OR:9.3, 95% CI:4.7-18.4, P<0.001) were independent risk factors for anxiety. And age>35 years old, moderate and severe somatic symptoms and poor sleep quality were independent risk factors for depression. Somatic symptoms and poor sleep quality are both the risk factors of anxiety and depression symptoms of infertile woman. And high educated (junior college degree or above) patients are more likely to be complicated with anxiety symptoms, while elderly patients (age>35) are prone to be complicated with depression symptoms.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0284414</identifier><identifier>PMID: 37053254</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Analysis ; Anxiety ; Anxiety - complications ; Anxiety - diagnosis ; Anxiety - epidemiology ; Anxiety disorders ; Anxiety Disorders - epidemiology ; Biology and Life Sciences ; Care and treatment ; China - epidemiology ; Coefficients ; Consultants ; Couples ; Cross-Sectional Studies ; Decision making ; Depression - complications ; Depression - diagnosis ; Depression - epidemiology ; Depression, Mental ; Diagnosis ; Evaluation ; Factor analysis ; Female ; Generalized anxiety disorder ; Glutamate decarboxylase ; Health aspects ; Health risks ; Hospitals ; Humans ; Incidence ; Infertility ; Infertility, Female - complications ; Infertility, Female - epidemiology ; Infertility, Female - therapy ; Mathematical analysis ; Medical research ; Medical treatment ; Medically Unexplained Symptoms ; Medicine and Health Sciences ; Medicine, Experimental ; Mental depression ; Mental disorders ; Mental illness ; Multivariate analysis ; Patient outcomes ; Patients ; Psychological aspects ; Quality control ; Questionnaires ; Regression analysis ; Reproducibility of Results ; Reproductive technologies ; Risk factors ; Sleep ; Sleep Initiation and Maintenance Disorders ; Social Sciences ; Software ; Statistical analysis ; Stress ; Surveys ; Validity ; Women ; Womens health</subject><ispartof>PloS one, 2023-04, Vol.18 (4), p.e0284414-e0284414</ispartof><rights>Copyright: © 2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Wang et al 2023 Wang et al</rights><rights>2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c693t-b76d1fb5677ad36a5bce325628f3c6c50dbdccf4fd0bb9a8bb94b09b5f07f3ae3</citedby><cites>FETCH-LOGICAL-c693t-b76d1fb5677ad36a5bce325628f3c6c50dbdccf4fd0bb9a8bb94b09b5f07f3ae3</cites><orcidid>0000-0001-8935-6668</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2800574352/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2800574352?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37053254$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Di Giuseppe, Jacopo</contributor><creatorcontrib>Wang, Lingyan</creatorcontrib><creatorcontrib>Tang, Youyin</creatorcontrib><creatorcontrib>Wang, Yuyang</creatorcontrib><title>Predictors and incidence of depression and anxiety in women undergoing infertility treatment: A cross-sectional study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The global incidence of infertility is increasing year by year, and the association between infertility and mental illness has been widely concerned. The aim of this study was to investigate the incidence of anxiety and depression in infertile women in China and explore the risk factors which might lead to anxiety and depression. From January 2020 to December 2020, female infertile patients who received assisted reproduction technology (ART) treatment at West China Second Hospital were recruited and a total of 1712 eligible female patients were finally enrolled in this study. Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionaire-9 (PHQ-9) were used to evaluate the patients' psychological status. The reliability of all scales was evaluated by Cronbach's α and Spearman-Brown half coefficient, and Kaiser-Meyer-Olkin (KMO) value was calculated by factor analysis to evaluate validity. Univariate and multivariate logistic regression analysis were applied for assessing independent risk factors of anxiety and depression, respectively. The incidence of anxiety and depression in infertile women were 25.2% and 31.3%, respectively. Cronbach's α coefficients and Spearman-Brown half-fold coefficients of GAD-7 and PHQ-9 were 0.870, 0.825, 0.852 and 0.793, respectively. Univariate and multivariate logistic regression analysis showed that education level (junior college degree or above, OR:1. 6, 95% CI: 1.2-2.1, P = 0.003), somatic symptoms (severe somatic symptoms, OR:15.2, 95%CI: 5.6-41.3, P<0.001), sleep quality (poor sleep quality, OR:9.3, 95% CI:4.7-18.4, P<0.001) were independent risk factors for anxiety. And age>35 years old, moderate and severe somatic symptoms and poor sleep quality were independent risk factors for depression. Somatic symptoms and poor sleep quality are both the risk factors of anxiety and depression symptoms of infertile woman. And high educated (junior college degree or above) patients are more likely to be complicated with anxiety symptoms, while elderly patients (age>35) are prone to be complicated with depression symptoms.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Anxiety</subject><subject>Anxiety - complications</subject><subject>Anxiety - diagnosis</subject><subject>Anxiety - epidemiology</subject><subject>Anxiety disorders</subject><subject>Anxiety Disorders - epidemiology</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>China - epidemiology</subject><subject>Coefficients</subject><subject>Consultants</subject><subject>Couples</subject><subject>Cross-Sectional Studies</subject><subject>Decision making</subject><subject>Depression - complications</subject><subject>Depression - diagnosis</subject><subject>Depression - epidemiology</subject><subject>Depression, Mental</subject><subject>Diagnosis</subject><subject>Evaluation</subject><subject>Factor analysis</subject><subject>Female</subject><subject>Generalized anxiety disorder</subject><subject>Glutamate decarboxylase</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infertility</subject><subject>Infertility, Female - complications</subject><subject>Infertility, Female - epidemiology</subject><subject>Infertility, Female - therapy</subject><subject>Mathematical analysis</subject><subject>Medical research</subject><subject>Medical treatment</subject><subject>Medically Unexplained Symptoms</subject><subject>Medicine and Health Sciences</subject><subject>Medicine, Experimental</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental illness</subject><subject>Multivariate analysis</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Psychological aspects</subject><subject>Quality control</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Reproducibility of Results</subject><subject>Reproductive technologies</subject><subject>Risk factors</subject><subject>Sleep</subject><subject>Sleep Initiation and Maintenance Disorders</subject><subject>Social Sciences</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Stress</subject><subject>Surveys</subject><subject>Validity</subject><subject>Women</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk22LEzEQxxdRvPP0G4guCKIvWpNNNun6Ro7Dh8LBiU9vQzaZtCnbpJdk9frtTdu9oyv3QgK7YeY3_2QmM0XxHKMpJhy_W_k-ONlNN97BFFUzSjF9UJzihlQTViHy8Gh_UjyJcYVQTWaMPS5OCM_bqqanRf81gLYq-RBL6XRpnbIanILSm1LDJkCM1ru9T7obC2mbmfKPX4Mre6chLLx1i2wzEJLtbPanADJlf3pfnpcq-BgnEVTKMrIrY-r19mnxyMguwrPhf1b8_PTxx8WXyeXV5_nF-eVEsYakScuZxqatGedSEybrVkG-NqtmhiimaqRbrZShRqO2beQsf2iLmrY2iBsigZwVLw-6m85HMVQsimqWS8EpqatMzA-E9nIlNsGuZdgKL63YG3xYCJnzUh2I2nDUKFoB45oaU0ulJQeslGo0YLrT-jCc1rdr0CpXIMhuJDr2OLsUC_9bYJRXjVlWeDMoBH_dQ0xibaOCrpMOfH-4OKsqjmlGX_2D3p_eQC1kziA_ks8Hq52oOOe0poxUDcrU9B4qLw1rq3J_GZvto4C3o4DMJLhJC9nHKObfv_0_e_VrzL4-Ypcgu7SMvut3vRPHID2A-_YKYO6qjJHYjcdtNcRuPMQwHjnsxfEL3QXdzgP5C63-DeU</recordid><startdate>20230413</startdate><enddate>20230413</enddate><creator>Wang, Lingyan</creator><creator>Tang, Youyin</creator><creator>Wang, Yuyang</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8935-6668</orcidid></search><sort><creationdate>20230413</creationdate><title>Predictors and incidence of depression and anxiety in women undergoing infertility treatment: A cross-sectional study</title><author>Wang, Lingyan ; Tang, Youyin ; Wang, Yuyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c693t-b76d1fb5677ad36a5bce325628f3c6c50dbdccf4fd0bb9a8bb94b09b5f07f3ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Anxiety</topic><topic>Anxiety - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Lingyan</au><au>Tang, Youyin</au><au>Wang, Yuyang</au><au>Di Giuseppe, Jacopo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors and incidence of depression and anxiety in women undergoing infertility treatment: A cross-sectional study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-04-13</date><risdate>2023</risdate><volume>18</volume><issue>4</issue><spage>e0284414</spage><epage>e0284414</epage><pages>e0284414-e0284414</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The global incidence of infertility is increasing year by year, and the association between infertility and mental illness has been widely concerned. The aim of this study was to investigate the incidence of anxiety and depression in infertile women in China and explore the risk factors which might lead to anxiety and depression. From January 2020 to December 2020, female infertile patients who received assisted reproduction technology (ART) treatment at West China Second Hospital were recruited and a total of 1712 eligible female patients were finally enrolled in this study. Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionaire-9 (PHQ-9) were used to evaluate the patients' psychological status. The reliability of all scales was evaluated by Cronbach's α and Spearman-Brown half coefficient, and Kaiser-Meyer-Olkin (KMO) value was calculated by factor analysis to evaluate validity. Univariate and multivariate logistic regression analysis were applied for assessing independent risk factors of anxiety and depression, respectively. The incidence of anxiety and depression in infertile women were 25.2% and 31.3%, respectively. Cronbach's α coefficients and Spearman-Brown half-fold coefficients of GAD-7 and PHQ-9 were 0.870, 0.825, 0.852 and 0.793, respectively. Univariate and multivariate logistic regression analysis showed that education level (junior college degree or above, OR:1. 6, 95% CI: 1.2-2.1, P = 0.003), somatic symptoms (severe somatic symptoms, OR:15.2, 95%CI: 5.6-41.3, P<0.001), sleep quality (poor sleep quality, OR:9.3, 95% CI:4.7-18.4, P<0.001) were independent risk factors for anxiety. And age>35 years old, moderate and severe somatic symptoms and poor sleep quality were independent risk factors for depression. Somatic symptoms and poor sleep quality are both the risk factors of anxiety and depression symptoms of infertile woman. And high educated (junior college degree or above) patients are more likely to be complicated with anxiety symptoms, while elderly patients (age>35) are prone to be complicated with depression symptoms.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37053254</pmid><doi>10.1371/journal.pone.0284414</doi><tpages>e0284414</tpages><orcidid>https://orcid.org/0000-0001-8935-6668</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2023-04, Vol.18 (4), p.e0284414-e0284414 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2800574352 |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central; Coronavirus Research Database |
subjects | Adult Aged Analysis Anxiety Anxiety - complications Anxiety - diagnosis Anxiety - epidemiology Anxiety disorders Anxiety Disorders - epidemiology Biology and Life Sciences Care and treatment China - epidemiology Coefficients Consultants Couples Cross-Sectional Studies Decision making Depression - complications Depression - diagnosis Depression - epidemiology Depression, Mental Diagnosis Evaluation Factor analysis Female Generalized anxiety disorder Glutamate decarboxylase Health aspects Health risks Hospitals Humans Incidence Infertility Infertility, Female - complications Infertility, Female - epidemiology Infertility, Female - therapy Mathematical analysis Medical research Medical treatment Medically Unexplained Symptoms Medicine and Health Sciences Medicine, Experimental Mental depression Mental disorders Mental illness Multivariate analysis Patient outcomes Patients Psychological aspects Quality control Questionnaires Regression analysis Reproducibility of Results Reproductive technologies Risk factors Sleep Sleep Initiation and Maintenance Disorders Social Sciences Software Statistical analysis Stress Surveys Validity Women Womens health |
title | Predictors and incidence of depression and anxiety in women undergoing infertility treatment: A cross-sectional study |
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