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Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China
BACKGROUND: Antenatal depression (AD) is a major depressive disorder during pregnancy, which may lead to devastating sequelae for the expectant mothers and infants. This study aimed to investigate the prevalence, to analyze trajectory model based on EPDS score, and to explore the influence factors o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189961/ https://www.ncbi.nlm.nih.gov/pubmed/37198553 http://dx.doi.org/10.1186/s12884-023-05672-9 |
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author | Huang, Xiuhua Wang, Ying Wang, Yuqiong Guo, Xiujing Zhang, Ling Wang, Wenxia Shen, Jing |
author_facet | Huang, Xiuhua Wang, Ying Wang, Yuqiong Guo, Xiujing Zhang, Ling Wang, Wenxia Shen, Jing |
author_sort | Huang, Xiuhua |
collection | PubMed |
description | BACKGROUND: Antenatal depression (AD) is a major depressive disorder during pregnancy, which may lead to devastating sequelae for the expectant mothers and infants. This study aimed to investigate the prevalence, to analyze trajectory model based on EPDS score, and to explore the influence factors of AD among pregnant women in Chengdu, China. METHODS: Participants from four maternity hospitals in Chengdu, China were recruited when they had their first pregnancy medical check-up during March 2019 to May 2020. All participants were required to fill in Edinburgh Postnatal Depression Scale Chinese version (EPDS) once during three trimesters and provided information about their health status, social-demographic etc. The trajectory model, chi-square test and multivariate binary logistic regression were used to analyze all collected data. RESULTS: A total of 4560 pregnant women were recruited, while 1051 women completed the study. The prevalence of depression symptoms during the first, second and third trimesters were 32.92% (346/1051), 19.79% (208/1051) and 20.46% (215/1051) respectively. According to the results of the latent growth mixture modeling, the trajectory model of three categories based on EPDS score were identified in this study: low-risk group (38.2%, 401/1051), medium-risk group (54.8%, 576/1051) and high-risk group (7%, 74/1051). Good marital relationship (P = 0.007, OR = 0.33, 95% CI 0.147 ~ 0.74), good relationship with parents-in-law (P = 0.011, OR = 0.561, 95% CI 0.36 ~ 0.874), planned pregnancy (P = 0.018, OR = 0.681, 95% CI 0.496 ~ 0.936) were the protective factors while lower education level (P = 0.036, OR = 1.355, 95% CI 1.02 ~ 1.799), fear about dystocia (P = 0.0, OR = 1.729, 95% CI 1.31 ~ 2.283), recent major negative life events (P = 0.033, OR = 2.147, 95% CI 1.065 ~ 4.329) were the risk factors of medium-risk group. Good marital relationship (P = 0.005, OR = 0.2, 95% CI 0.065 ~ 0.615), good relationship with parents-in-law (P = 0.003, OR = 0.319, 95% CI 0.15 ~ 0.679) were also protective factors of high-risk group, but the risk factors for high-risk group were medical history (P = 0.046, OR = 1.836, 95% CI 1.011 ~ 3.334), pregnancy complications (P = 0.022, OR = 2.015, 95% CI 1.109 ~ 3.662), worry about dystocia (P = 0.003, OR = 2.365, 95% CI 1.347 ~ 4.153), recent major negative life events (P = 0.011, OR = 3.661, 95% CI 1.341 ~ 9.993). No protective or risk factors were identified for low-risk group. CONCLUSION: Even the incidence and levels of depression in the first trimester of pregnancy were the highest, the probability of pregnancy women get depression during gestation period were higher than other population. Therefore, it’s important to monitor the psychological status of pregnant women during the whole pregnancy, especially in the first trimester. The study suggested a good partner relationship and good relations with parents-in-law both protected pregnant women from depression and promoted the well-being of mothers and children. |
format | Online Article Text |
id | pubmed-10189961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101899612023-05-18 Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China Huang, Xiuhua Wang, Ying Wang, Yuqiong Guo, Xiujing Zhang, Ling Wang, Wenxia Shen, Jing BMC Pregnancy Childbirth Research BACKGROUND: Antenatal depression (AD) is a major depressive disorder during pregnancy, which may lead to devastating sequelae for the expectant mothers and infants. This study aimed to investigate the prevalence, to analyze trajectory model based on EPDS score, and to explore the influence factors of AD among pregnant women in Chengdu, China. METHODS: Participants from four maternity hospitals in Chengdu, China were recruited when they had their first pregnancy medical check-up during March 2019 to May 2020. All participants were required to fill in Edinburgh Postnatal Depression Scale Chinese version (EPDS) once during three trimesters and provided information about their health status, social-demographic etc. The trajectory model, chi-square test and multivariate binary logistic regression were used to analyze all collected data. RESULTS: A total of 4560 pregnant women were recruited, while 1051 women completed the study. The prevalence of depression symptoms during the first, second and third trimesters were 32.92% (346/1051), 19.79% (208/1051) and 20.46% (215/1051) respectively. According to the results of the latent growth mixture modeling, the trajectory model of three categories based on EPDS score were identified in this study: low-risk group (38.2%, 401/1051), medium-risk group (54.8%, 576/1051) and high-risk group (7%, 74/1051). Good marital relationship (P = 0.007, OR = 0.33, 95% CI 0.147 ~ 0.74), good relationship with parents-in-law (P = 0.011, OR = 0.561, 95% CI 0.36 ~ 0.874), planned pregnancy (P = 0.018, OR = 0.681, 95% CI 0.496 ~ 0.936) were the protective factors while lower education level (P = 0.036, OR = 1.355, 95% CI 1.02 ~ 1.799), fear about dystocia (P = 0.0, OR = 1.729, 95% CI 1.31 ~ 2.283), recent major negative life events (P = 0.033, OR = 2.147, 95% CI 1.065 ~ 4.329) were the risk factors of medium-risk group. Good marital relationship (P = 0.005, OR = 0.2, 95% CI 0.065 ~ 0.615), good relationship with parents-in-law (P = 0.003, OR = 0.319, 95% CI 0.15 ~ 0.679) were also protective factors of high-risk group, but the risk factors for high-risk group were medical history (P = 0.046, OR = 1.836, 95% CI 1.011 ~ 3.334), pregnancy complications (P = 0.022, OR = 2.015, 95% CI 1.109 ~ 3.662), worry about dystocia (P = 0.003, OR = 2.365, 95% CI 1.347 ~ 4.153), recent major negative life events (P = 0.011, OR = 3.661, 95% CI 1.341 ~ 9.993). No protective or risk factors were identified for low-risk group. CONCLUSION: Even the incidence and levels of depression in the first trimester of pregnancy were the highest, the probability of pregnancy women get depression during gestation period were higher than other population. Therefore, it’s important to monitor the psychological status of pregnant women during the whole pregnancy, especially in the first trimester. The study suggested a good partner relationship and good relations with parents-in-law both protected pregnant women from depression and promoted the well-being of mothers and children. BioMed Central 2023-05-17 /pmc/articles/PMC10189961/ /pubmed/37198553 http://dx.doi.org/10.1186/s12884-023-05672-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Xiuhua Wang, Ying Wang, Yuqiong Guo, Xiujing Zhang, Ling Wang, Wenxia Shen, Jing Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China |
title | Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China |
title_full | Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China |
title_fullStr | Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China |
title_full_unstemmed | Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China |
title_short | Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China |
title_sort | prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in chengdu, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189961/ https://www.ncbi.nlm.nih.gov/pubmed/37198553 http://dx.doi.org/10.1186/s12884-023-05672-9 |
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