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Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling

BACKGROUND: Current research on perinatal depression rarely pays attention to the continuity and volatility of depression symptoms over time, which is very important for the early prediction and prognostic evaluation of perinatal depression. This study investigated the trajectories of perinatal depr...

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Autores principales: Hong, Lan, Le, Tao, Lu, Yinping, Shi, Xiang, Xiang, Ludan, Liu, Meng, Zhang, Wenmiao, Zhou, Meixi, Wang, Jiangling, Xu, Dongwu, Yu, Xin, Zhao, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751241/
https://www.ncbi.nlm.nih.gov/pubmed/35012496
http://dx.doi.org/10.1186/s12884-021-04316-0
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author Hong, Lan
Le, Tao
Lu, Yinping
Shi, Xiang
Xiang, Ludan
Liu, Meng
Zhang, Wenmiao
Zhou, Meixi
Wang, Jiangling
Xu, Dongwu
Yu, Xin
Zhao, Ke
author_facet Hong, Lan
Le, Tao
Lu, Yinping
Shi, Xiang
Xiang, Ludan
Liu, Meng
Zhang, Wenmiao
Zhou, Meixi
Wang, Jiangling
Xu, Dongwu
Yu, Xin
Zhao, Ke
author_sort Hong, Lan
collection PubMed
description BACKGROUND: Current research on perinatal depression rarely pays attention to the continuity and volatility of depression symptoms over time, which is very important for the early prediction and prognostic evaluation of perinatal depression. This study investigated the trajectories of perinatal depression symptoms and aimed to explore the factors related to these trajectories. METHODS: The study recruited 550 women during late pregnancy (32 ± 4 weeks of gestation) and followed them up 1 and 6 weeks postpartum. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS). Latent growth mixture modelling (LGMM) was used to identify trajectories of depressive symptoms during pregnancy. RESULTS: Two trajectories of perinatal depressive symptoms were identified: “decreasing” (n = 524, 95.3%) and “increasing” (n = 26, 4.7%). History of smoking, alcohol use and gestational hypertension increased the chance of belonging to the increasing trajectories, and a high level of social support was a protective factor for maintaining a decreasing trajectory. CONCLUSIONS: This study identified two trajectories of perinatal depression and the factors associated with each trajectory. Paying attention to these factors and providing necessary psychological support services during pregnancy would effectively reduce the incidence of perinatal depression and improve patient prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-04316-0.
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spelling pubmed-87512412022-01-11 Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling Hong, Lan Le, Tao Lu, Yinping Shi, Xiang Xiang, Ludan Liu, Meng Zhang, Wenmiao Zhou, Meixi Wang, Jiangling Xu, Dongwu Yu, Xin Zhao, Ke BMC Pregnancy Childbirth Research BACKGROUND: Current research on perinatal depression rarely pays attention to the continuity and volatility of depression symptoms over time, which is very important for the early prediction and prognostic evaluation of perinatal depression. This study investigated the trajectories of perinatal depression symptoms and aimed to explore the factors related to these trajectories. METHODS: The study recruited 550 women during late pregnancy (32 ± 4 weeks of gestation) and followed them up 1 and 6 weeks postpartum. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS). Latent growth mixture modelling (LGMM) was used to identify trajectories of depressive symptoms during pregnancy. RESULTS: Two trajectories of perinatal depressive symptoms were identified: “decreasing” (n = 524, 95.3%) and “increasing” (n = 26, 4.7%). History of smoking, alcohol use and gestational hypertension increased the chance of belonging to the increasing trajectories, and a high level of social support was a protective factor for maintaining a decreasing trajectory. CONCLUSIONS: This study identified two trajectories of perinatal depression and the factors associated with each trajectory. Paying attention to these factors and providing necessary psychological support services during pregnancy would effectively reduce the incidence of perinatal depression and improve patient prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-04316-0. BioMed Central 2022-01-10 /pmc/articles/PMC8751241/ /pubmed/35012496 http://dx.doi.org/10.1186/s12884-021-04316-0 Text en © The Author(s) 2021 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
Hong, Lan
Le, Tao
Lu, Yinping
Shi, Xiang
Xiang, Ludan
Liu, Meng
Zhang, Wenmiao
Zhou, Meixi
Wang, Jiangling
Xu, Dongwu
Yu, Xin
Zhao, Ke
Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
title Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
title_full Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
title_fullStr Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
title_full_unstemmed Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
title_short Distinct trajectories of perinatal depression in Chinese women: application of latent growth mixture modelling
title_sort distinct trajectories of perinatal depression in chinese women: application of latent growth mixture modelling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751241/
https://www.ncbi.nlm.nih.gov/pubmed/35012496
http://dx.doi.org/10.1186/s12884-021-04316-0
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