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Prevalence and Associated Risk Factors of Antenatal Depression among Pregnant Women Attending Tertiary Care Hospitals in South India
Background. Antenatal depression (AND) is a common mood disorder that affects both the mother and the child. Objective. The current study is aimed at identifying the prevalence of antenatal depression and the risk factors associated with it in South Indian pregnant women. Materials and Methods. The...
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Published in: | Depression research and treatment 2022-11, Vol.2022, p.1-7 |
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description | Background. Antenatal depression (AND) is a common mood disorder that affects both the mother and the child. Objective. The current study is aimed at identifying the prevalence of antenatal depression and the risk factors associated with it in South Indian pregnant women. Materials and Methods. The current study was carried out in a tertiary care teaching hospital where pregnancy and postnatal care are offered. In the study, 314 pregnant women who visited the antenatal clinic for their prenatal checkups were included. To diagnose possible depression, Edinburgh Postnatal Depression Scale (EPDS) was used. The chi-square test was applied to determine the association between antenatal depression and various socioeconomic, obstetric, and medical factors. A logistic regression analysis was performed to identify significant confounding variables. Results. Of the total 314 women, 69 (21.98%) were suffering from possible depression with the mean EPDS score being 10.61±7.48. Women of younger age had greater risks for depression than older women (AOR=2.01; 95% CI: 0.56-7.20). Maternal age (χ2=0.013, p=0.009) and the presence of health issues during the current pregnancy (χ2=5.18, p=0.023) were the factors significantly associated with antenatal depression. Conclusions. Clinical efforts should focus on screening antenatal depression, early identification, and effective care, thus preventing progression to postpartum depression and its detrimental effects. |
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Antenatal depression (AND) is a common mood disorder that affects both the mother and the child. Objective. The current study is aimed at identifying the prevalence of antenatal depression and the risk factors associated with it in South Indian pregnant women. Materials and Methods. The current study was carried out in a tertiary care teaching hospital where pregnancy and postnatal care are offered. In the study, 314 pregnant women who visited the antenatal clinic for their prenatal checkups were included. To diagnose possible depression, Edinburgh Postnatal Depression Scale (EPDS) was used. The chi-square test was applied to determine the association between antenatal depression and various socioeconomic, obstetric, and medical factors. A logistic regression analysis was performed to identify significant confounding variables. Results. Of the total 314 women, 69 (21.98%) were suffering from possible depression with the mean EPDS score being 10.61±7.48. Women of younger age had greater risks for depression than older women (AOR=2.01; 95% CI: 0.56-7.20). Maternal age (χ2=0.013, p=0.009) and the presence of health issues during the current pregnancy (χ2=5.18, p=0.023) were the factors significantly associated with antenatal depression. Conclusions. Clinical efforts should focus on screening antenatal depression, early identification, and effective care, thus preventing progression to postpartum depression and its detrimental effects.</description><identifier>ISSN: 2090-1321</identifier><identifier>EISSN: 2090-133X</identifier><identifier>DOI: 10.1155/2022/9127358</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Age ; Alcoholism ; Chi-square test ; Confidentiality ; Data collection ; Family income ; Gynecology ; Health aspects ; Low income groups ; Maternal & child health ; Mental depression ; Mental disorders ; Mental health ; Miscarriage ; Mothers ; Multiple births ; Obstetrics ; Postpartum depression ; Pregnancy ; Pregnant women ; Psychological aspects ; Questionnaires ; Risk factors ; Sociodemographics ; Thyroid gland ; Womens health</subject><ispartof>Depression research and treatment, 2022-11, Vol.2022, p.1-7</ispartof><rights>Copyright © 2022 Savitha Prabhu et al.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>Copyright © 2022 Savitha Prabhu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2022 Savitha Prabhu et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5048-8894e49a994a86db275fa22b3971f3b1eba3142ec77ffc68479660a0675de9623</citedby><cites>FETCH-LOGICAL-c5048-8894e49a994a86db275fa22b3971f3b1eba3142ec77ffc68479660a0675de9623</cites><orcidid>0000-0002-8483-2968 ; 0000-0001-9659-9860 ; 0000-0001-7933-2400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2740358598/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2740358598?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><contributor>De Berardis, Domenico</contributor><contributor>Domenico De Berardis</contributor><creatorcontrib>Prabhu, Savitha</creatorcontrib><creatorcontrib>Guruvare, Shyamala</creatorcontrib><creatorcontrib>George, Linu Sara</creatorcontrib><creatorcontrib>Nayak, Baby S.</creatorcontrib><creatorcontrib>Mayya, Shreemathi</creatorcontrib><title>Prevalence and Associated Risk Factors of Antenatal Depression among Pregnant Women Attending Tertiary Care Hospitals in South India</title><title>Depression research and treatment</title><description>Background. Antenatal depression (AND) is a common mood disorder that affects both the mother and the child. Objective. The current study is aimed at identifying the prevalence of antenatal depression and the risk factors associated with it in South Indian pregnant women. Materials and Methods. The current study was carried out in a tertiary care teaching hospital where pregnancy and postnatal care are offered. In the study, 314 pregnant women who visited the antenatal clinic for their prenatal checkups were included. To diagnose possible depression, Edinburgh Postnatal Depression Scale (EPDS) was used. The chi-square test was applied to determine the association between antenatal depression and various socioeconomic, obstetric, and medical factors. A logistic regression analysis was performed to identify significant confounding variables. Results. Of the total 314 women, 69 (21.98%) were suffering from possible depression with the mean EPDS score being 10.61±7.48. Women of younger age had greater risks for depression than older women (AOR=2.01; 95% CI: 0.56-7.20). Maternal age (χ2=0.013, p=0.009) and the presence of health issues during the current pregnancy (χ2=5.18, p=0.023) were the factors significantly associated with antenatal depression. Conclusions. Clinical efforts should focus on screening antenatal depression, early identification, and effective care, thus preventing progression to postpartum depression and its detrimental effects.</description><subject>Age</subject><subject>Alcoholism</subject><subject>Chi-square test</subject><subject>Confidentiality</subject><subject>Data collection</subject><subject>Family income</subject><subject>Gynecology</subject><subject>Health aspects</subject><subject>Low income groups</subject><subject>Maternal & child health</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Miscarriage</subject><subject>Mothers</subject><subject>Multiple births</subject><subject>Obstetrics</subject><subject>Postpartum depression</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Psychological aspects</subject><subject>Questionnaires</subject><subject>Risk factors</subject><subject>Sociodemographics</subject><subject>Thyroid gland</subject><subject>Womens health</subject><issn>2090-1321</issn><issn>2090-133X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ktFqFDEUhgdRsNTe-QABQQTdNslkMpMbYVmtXSgoWtG7cCZzZjd1JtkmmYr3PrjZ7lJdETMXGU6-fAn5T1E8ZfSUsao645TzM8V4XVbNg-KIU0VnrCy_Prz_5-xxcRLjNc1DiJpKelT8_BDwFgZ0Bgm4jsxj9MZCwo58tPEbOQeTfIjE92TuEjpIMJA3uAkYo_WOwOjdimTJyoFL5Isf0ZF5ymRn88IVhmQh_CALCEgufNzYLIjEOvLJT2lNlpmDJ8WjPlfxZD8fF5_P314tLmaX798tF_PLmamoaGZNowQKBUoJaGTX8rrqgfO2VDXry5ZhCyUTHE1d972RjaiVlBSorKsOleTlcbHceTsP13oT7Jivpj1YfVfwYaUh39cMqAU3YHomuWFcSNXmQyroFPSqNo3st67XO9dmakfsDLoUYDiQHq44u9Yrf6uVVDmKKgte7AXB30wYkx5tNDgM4NBPUfNa5NikkCyjz_5Cr_0UXH6qOyoHXqnmN7XKeWrrep_PNVupnte8oQ2veJmp039Q-etwtMY77G2uH2x4_seGNcKQ1tEPU8rxx0Pw1Q40wccYsL9_DEb1tkX1tkX1vkUz_nKHr63r4Lv9P_0LCQLj3A</recordid><startdate>20221117</startdate><enddate>20221117</enddate><creator>Prabhu, Savitha</creator><creator>Guruvare, Shyamala</creator><creator>George, Linu Sara</creator><creator>Nayak, Baby S.</creator><creator>Mayya, Shreemathi</creator><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4U-</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8AO</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>KB0</scope><scope>M0S</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8483-2968</orcidid><orcidid>https://orcid.org/0000-0001-9659-9860</orcidid><orcidid>https://orcid.org/0000-0001-7933-2400</orcidid></search><sort><creationdate>20221117</creationdate><title>Prevalence and Associated Risk Factors of Antenatal Depression among Pregnant Women Attending Tertiary Care Hospitals in South India</title><author>Prabhu, Savitha ; Guruvare, Shyamala ; George, Linu Sara ; Nayak, Baby S. ; Mayya, Shreemathi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5048-8894e49a994a86db275fa22b3971f3b1eba3142ec77ffc68479660a0675de9623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Alcoholism</topic><topic>Chi-square test</topic><topic>Confidentiality</topic><topic>Data collection</topic><topic>Family income</topic><topic>Gynecology</topic><topic>Health aspects</topic><topic>Low income groups</topic><topic>Maternal & child health</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Miscarriage</topic><topic>Mothers</topic><topic>Multiple births</topic><topic>Obstetrics</topic><topic>Postpartum depression</topic><topic>Pregnancy</topic><topic>Pregnant women</topic><topic>Psychological aspects</topic><topic>Questionnaires</topic><topic>Risk factors</topic><topic>Sociodemographics</topic><topic>Thyroid gland</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prabhu, Savitha</creatorcontrib><creatorcontrib>Guruvare, Shyamala</creatorcontrib><creatorcontrib>George, Linu Sara</creatorcontrib><creatorcontrib>Nayak, Baby S.</creatorcontrib><creatorcontrib>Mayya, Shreemathi</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>University Readers</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Depression research and treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prabhu, Savitha</au><au>Guruvare, Shyamala</au><au>George, Linu Sara</au><au>Nayak, Baby S.</au><au>Mayya, Shreemathi</au><au>De Berardis, Domenico</au><au>Domenico De Berardis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and Associated Risk Factors of Antenatal Depression among Pregnant Women Attending Tertiary Care Hospitals in South India</atitle><jtitle>Depression research and treatment</jtitle><date>2022-11-17</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>2090-1321</issn><eissn>2090-133X</eissn><abstract>Background. Antenatal depression (AND) is a common mood disorder that affects both the mother and the child. Objective. The current study is aimed at identifying the prevalence of antenatal depression and the risk factors associated with it in South Indian pregnant women. Materials and Methods. The current study was carried out in a tertiary care teaching hospital where pregnancy and postnatal care are offered. In the study, 314 pregnant women who visited the antenatal clinic for their prenatal checkups were included. To diagnose possible depression, Edinburgh Postnatal Depression Scale (EPDS) was used. The chi-square test was applied to determine the association between antenatal depression and various socioeconomic, obstetric, and medical factors. A logistic regression analysis was performed to identify significant confounding variables. Results. Of the total 314 women, 69 (21.98%) were suffering from possible depression with the mean EPDS score being 10.61±7.48. Women of younger age had greater risks for depression than older women (AOR=2.01; 95% CI: 0.56-7.20). Maternal age (χ2=0.013, p=0.009) and the presence of health issues during the current pregnancy (χ2=5.18, p=0.023) were the factors significantly associated with antenatal depression. Conclusions. Clinical efforts should focus on screening antenatal depression, early identification, and effective care, thus preventing progression to postpartum depression and its detrimental effects.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2022/9127358</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-8483-2968</orcidid><orcidid>https://orcid.org/0000-0001-9659-9860</orcidid><orcidid>https://orcid.org/0000-0001-7933-2400</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Alcoholism Chi-square test Confidentiality Data collection Family income Gynecology Health aspects Low income groups Maternal & child health Mental depression Mental disorders Mental health Miscarriage Mothers Multiple births Obstetrics Postpartum depression Pregnancy Pregnant women Psychological aspects Questionnaires Risk factors Sociodemographics Thyroid gland Womens health |
title | Prevalence and Associated Risk Factors of Antenatal Depression among Pregnant Women Attending Tertiary Care Hospitals in South India |
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