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Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study

OBJECTIVES: The objective was to assess the prevalence of perinatal depressive symptoms and determine the trajectories of marital adjustment and depressive symptoms and their reciprocal relationships among Chinese perinatal women. DESIGN: This was a prospective, longitudinal cross-lagged study. SETT...

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Autores principales: Yang, Yuqiong, Luo, Biru, Ren, Jianhua, Deng, Xue, Guo, Xiujing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619017/
https://www.ncbi.nlm.nih.gov/pubmed/37899151
http://dx.doi.org/10.1136/bmjopen-2022-070234
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author Yang, Yuqiong
Luo, Biru
Ren, Jianhua
Deng, Xue
Guo, Xiujing
author_facet Yang, Yuqiong
Luo, Biru
Ren, Jianhua
Deng, Xue
Guo, Xiujing
author_sort Yang, Yuqiong
collection PubMed
description OBJECTIVES: The objective was to assess the prevalence of perinatal depressive symptoms and determine the trajectories of marital adjustment and depressive symptoms and their reciprocal relationships among Chinese perinatal women. DESIGN: This was a prospective, longitudinal cross-lagged study. SETTING: The study was conducted at the outpatient department of the largest women’s and children’s hospital in China, which is located in Chengdu, Sichuan Province. PARTICIPANTS: Four hundred and sixty-three mothers were conveniently sampled. MAIN OUTCOME MEASURES: The Dyadic Adjustment Scale and the Chinese version of the Edinburgh Postnatal Depression Scale were used to evaluate marital adjustment and depressive symptoms, respectively, at three time points: the first trimester of pregnancy (T1), the third trimester of pregnancy (T2) and 6 weeks after childbirth (T3). Descriptive statistics were used to assess the prevalence of perinatal depressive symptoms, and repeated-measures analysis of variance (ANOVA) was used to determine the trajectories of marital adjustment and depressive symptoms among the participants. A cross-lagged model was used to explore the reciprocal relationship between marital adjustment and depressive symptoms. RESULTS: The prevalence of perinatal depressive symptoms among our participants ranged from 21.2% to 24.0%. Repeated-measures ANOVA showed that during the perinatal period there was a significant tendency towards worse marital adjustment (F=33.031, p=0.000) and a slight but not significant reduction in depressive symptoms (F=1.883, p=0.153) among the participants. The cross-lagged model showed that maternal marital adjustment at T1 significantly and negatively predicted depressive symptoms at T2 (β=−0.165, p<0.001), and that depressive symptoms at T2 significantly and negatively predicted marital adjustment at T3 (β=−0.135, p<0.001). However, the predictive effects of depressive symptoms at T1 on marital adjustment at T2 and that of marital adjustment at T2 on depressive symptoms at T3 were not significant. CONCLUSION: The prevalence of perinatal depressive symptoms ranged from 21.2% to 24.0% among the participants. During the perinatal period, the marital adjustment of women tended to be worse; however, there was no significant change in depressive symptoms. This study showed that better marital adjustment at T1 was a protective factor against maternal depressive symptoms at T2, and a higher level of depressive symptoms at T2 was a risk factor for worse marital adjustment at T3.
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spelling pubmed-106190172023-11-02 Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study Yang, Yuqiong Luo, Biru Ren, Jianhua Deng, Xue Guo, Xiujing BMJ Open Mental Health OBJECTIVES: The objective was to assess the prevalence of perinatal depressive symptoms and determine the trajectories of marital adjustment and depressive symptoms and their reciprocal relationships among Chinese perinatal women. DESIGN: This was a prospective, longitudinal cross-lagged study. SETTING: The study was conducted at the outpatient department of the largest women’s and children’s hospital in China, which is located in Chengdu, Sichuan Province. PARTICIPANTS: Four hundred and sixty-three mothers were conveniently sampled. MAIN OUTCOME MEASURES: The Dyadic Adjustment Scale and the Chinese version of the Edinburgh Postnatal Depression Scale were used to evaluate marital adjustment and depressive symptoms, respectively, at three time points: the first trimester of pregnancy (T1), the third trimester of pregnancy (T2) and 6 weeks after childbirth (T3). Descriptive statistics were used to assess the prevalence of perinatal depressive symptoms, and repeated-measures analysis of variance (ANOVA) was used to determine the trajectories of marital adjustment and depressive symptoms among the participants. A cross-lagged model was used to explore the reciprocal relationship between marital adjustment and depressive symptoms. RESULTS: The prevalence of perinatal depressive symptoms among our participants ranged from 21.2% to 24.0%. Repeated-measures ANOVA showed that during the perinatal period there was a significant tendency towards worse marital adjustment (F=33.031, p=0.000) and a slight but not significant reduction in depressive symptoms (F=1.883, p=0.153) among the participants. The cross-lagged model showed that maternal marital adjustment at T1 significantly and negatively predicted depressive symptoms at T2 (β=−0.165, p<0.001), and that depressive symptoms at T2 significantly and negatively predicted marital adjustment at T3 (β=−0.135, p<0.001). However, the predictive effects of depressive symptoms at T1 on marital adjustment at T2 and that of marital adjustment at T2 on depressive symptoms at T3 were not significant. CONCLUSION: The prevalence of perinatal depressive symptoms ranged from 21.2% to 24.0% among the participants. During the perinatal period, the marital adjustment of women tended to be worse; however, there was no significant change in depressive symptoms. This study showed that better marital adjustment at T1 was a protective factor against maternal depressive symptoms at T2, and a higher level of depressive symptoms at T2 was a risk factor for worse marital adjustment at T3. BMJ Publishing Group 2023-10-29 /pmc/articles/PMC10619017/ /pubmed/37899151 http://dx.doi.org/10.1136/bmjopen-2022-070234 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Mental Health
Yang, Yuqiong
Luo, Biru
Ren, Jianhua
Deng, Xue
Guo, Xiujing
Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study
title Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study
title_full Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study
title_fullStr Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study
title_full_unstemmed Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study
title_short Marital adjustment and depressive symptoms among Chinese perinatal women: a prospective, longitudinal cross-lagged study
title_sort marital adjustment and depressive symptoms among chinese perinatal women: a prospective, longitudinal cross-lagged study
topic Mental Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619017/
https://www.ncbi.nlm.nih.gov/pubmed/37899151
http://dx.doi.org/10.1136/bmjopen-2022-070234
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