Cargando…

Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan

Objective: To determine the prevalence and association of prenatal depression with socioeconomic, demographic and personal factors among pregnant women living in Kallar Syedan, Rawalpindi, Pakistan. Methods: Five hundred women in the second and third trimester of pregnancy, living in Kallar Syedan,...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Rukhsana, Waqas, Ahmed, Mustehsan, Zille Huma, Khan, Amna Saeed, Sikander, Siham, Ahmad, Ikhlaq, Jamil, Anam, Sharif, Maria, Bilal, Samina, Zulfiqar, Shafaq, Bibi, Amina, Rahman, Atif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461022/
https://www.ncbi.nlm.nih.gov/pubmed/34566707
http://dx.doi.org/10.3389/fpsyt.2021.584287
_version_ 1784571886908211200
author Khan, Rukhsana
Waqas, Ahmed
Mustehsan, Zille Huma
Khan, Amna Saeed
Sikander, Siham
Ahmad, Ikhlaq
Jamil, Anam
Sharif, Maria
Bilal, Samina
Zulfiqar, Shafaq
Bibi, Amina
Rahman, Atif
author_facet Khan, Rukhsana
Waqas, Ahmed
Mustehsan, Zille Huma
Khan, Amna Saeed
Sikander, Siham
Ahmad, Ikhlaq
Jamil, Anam
Sharif, Maria
Bilal, Samina
Zulfiqar, Shafaq
Bibi, Amina
Rahman, Atif
author_sort Khan, Rukhsana
collection PubMed
description Objective: To determine the prevalence and association of prenatal depression with socioeconomic, demographic and personal factors among pregnant women living in Kallar Syedan, Rawalpindi, Pakistan. Methods: Five hundred women in the second and third trimester of pregnancy, living in Kallar Syedan, a rural area of district Rawalpindi Pakistan, were included in the study. Depression was assessed using “Patient health questionnaire” (PHQ9) in Urdu, with a cut-off score of 10. Multi-dimensional scale of perceived social support (MSPSS) was used to assess perceived social support. Life Events and Difficulties Schedule (LEDS) were used to measure stressful life events in past 1 year. Tool to assess intimate partner violence (IPV) was based on WHO Multi Country Study on “Women's Health and Domestic Violence against Women.” Results: Prevalence of prenatal depression was found to be 27%. Number of pregnancies was significantly associated with prenatal depression (p < 0.01). Women living in a joint family and those who perceived themselves as moderately satisfied or not satisfied with their life in the next 4 years were found to be depressed (p < 0.01, OR 6.9, CI 1.77–26.73). Depressive symptomatology in women who experienced more than five stressful life events in last 1 year was three times higher (p < 0.001, OR 3.2, CI 1.68–5.98) than in women with 1–2 stressful events. Women who were supported by their significant others or their family members had 0.9 times (p < 0.01, OR 0.9, CI 0.85–0.96) less chance of getting depressed. Pregnant women who were psychologically abused by their partners were 1.5 times more depressed (p < 0.05 CI 1.12–2.51). Odds of having depression was also high in women who had less mean score of MSSI (p < 0.05, OR 1.1, CI 1.01–1.09). Women who had suitable accommodation had 0.5 times less chance of having depression than others (p < 0.05, OR 0.5, CI 0.27–0.92). Conclusion: Over a quarter of the women in the study population reported prenatal depression, which were predicted predominantly by psychosocial variables.
format Online
Article
Text
id pubmed-8461022
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-84610222021-09-25 Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan Khan, Rukhsana Waqas, Ahmed Mustehsan, Zille Huma Khan, Amna Saeed Sikander, Siham Ahmad, Ikhlaq Jamil, Anam Sharif, Maria Bilal, Samina Zulfiqar, Shafaq Bibi, Amina Rahman, Atif Front Psychiatry Psychiatry Objective: To determine the prevalence and association of prenatal depression with socioeconomic, demographic and personal factors among pregnant women living in Kallar Syedan, Rawalpindi, Pakistan. Methods: Five hundred women in the second and third trimester of pregnancy, living in Kallar Syedan, a rural area of district Rawalpindi Pakistan, were included in the study. Depression was assessed using “Patient health questionnaire” (PHQ9) in Urdu, with a cut-off score of 10. Multi-dimensional scale of perceived social support (MSPSS) was used to assess perceived social support. Life Events and Difficulties Schedule (LEDS) were used to measure stressful life events in past 1 year. Tool to assess intimate partner violence (IPV) was based on WHO Multi Country Study on “Women's Health and Domestic Violence against Women.” Results: Prevalence of prenatal depression was found to be 27%. Number of pregnancies was significantly associated with prenatal depression (p < 0.01). Women living in a joint family and those who perceived themselves as moderately satisfied or not satisfied with their life in the next 4 years were found to be depressed (p < 0.01, OR 6.9, CI 1.77–26.73). Depressive symptomatology in women who experienced more than five stressful life events in last 1 year was three times higher (p < 0.001, OR 3.2, CI 1.68–5.98) than in women with 1–2 stressful events. Women who were supported by their significant others or their family members had 0.9 times (p < 0.01, OR 0.9, CI 0.85–0.96) less chance of getting depressed. Pregnant women who were psychologically abused by their partners were 1.5 times more depressed (p < 0.05 CI 1.12–2.51). Odds of having depression was also high in women who had less mean score of MSSI (p < 0.05, OR 1.1, CI 1.01–1.09). Women who had suitable accommodation had 0.5 times less chance of having depression than others (p < 0.05, OR 0.5, CI 0.27–0.92). Conclusion: Over a quarter of the women in the study population reported prenatal depression, which were predicted predominantly by psychosocial variables. Frontiers Media S.A. 2021-09-10 /pmc/articles/PMC8461022/ /pubmed/34566707 http://dx.doi.org/10.3389/fpsyt.2021.584287 Text en Copyright © 2021 Khan, Waqas, Mustehsan, Khan, Sikander, Ahmad, Jamil, Sharif, Bilal, Zulfiqar, Bibi and Rahman. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Khan, Rukhsana
Waqas, Ahmed
Mustehsan, Zille Huma
Khan, Amna Saeed
Sikander, Siham
Ahmad, Ikhlaq
Jamil, Anam
Sharif, Maria
Bilal, Samina
Zulfiqar, Shafaq
Bibi, Amina
Rahman, Atif
Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan
title Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan
title_full Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan
title_fullStr Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan
title_full_unstemmed Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan
title_short Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan
title_sort predictors of prenatal depression: a cross-sectional study in rural pakistan
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461022/
https://www.ncbi.nlm.nih.gov/pubmed/34566707
http://dx.doi.org/10.3389/fpsyt.2021.584287
work_keys_str_mv AT khanrukhsana predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT waqasahmed predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT mustehsanzillehuma predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT khanamnasaeed predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT sikandersiham predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT ahmadikhlaq predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT jamilanam predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT sharifmaria predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT bilalsamina predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT zulfiqarshafaq predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT bibiamina predictorsofprenataldepressionacrosssectionalstudyinruralpakistan
AT rahmanatif predictorsofprenataldepressionacrosssectionalstudyinruralpakistan