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Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China

OBJECTIVE: To investigate the association between pre-pregnancy body mass index (BMI) and gestational depressive phenotypes. METHODS: The pregnant women receiving the first prenatal examination (4th –13th week of gestation) in Chongqing Health Center for Women and Children were recruited between Feb...

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Autores principales: Chen, Yi, Gu, Huayan, Zhou, Niya, Zhou, Wenzheng, Cao, Jia, Chen, Qing, Zhang, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871462/
https://www.ncbi.nlm.nih.gov/pubmed/36704036
http://dx.doi.org/10.3389/fendo.2022.1058160
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author Chen, Yi
Gu, Huayan
Zhou, Niya
Zhou, Wenzheng
Cao, Jia
Chen, Qing
Zhang, Haiyan
author_facet Chen, Yi
Gu, Huayan
Zhou, Niya
Zhou, Wenzheng
Cao, Jia
Chen, Qing
Zhang, Haiyan
author_sort Chen, Yi
collection PubMed
description OBJECTIVE: To investigate the association between pre-pregnancy body mass index (BMI) and gestational depressive phenotypes. METHODS: The pregnant women receiving the first prenatal examination (4th –13th week of gestation) in Chongqing Health Center for Women and Children were recruited between February 2020 and September 2021. Depressive phenotypes was assessed by the Patient Health Questionnaire (PHQ-9) and the Symptom Checklist 90 (SCL-90) scale at recruitment. Pre-pregnancy weight and height were self-reported by the participants. Demographic and obstetric characteristics were obtained from the hospital information system. The association between pre-pregnancy BMI and the scores of PHQ-9 or SCL-90 scale was investigated by uni-variate analysis with Kruskal-Wallis test and by multi-variate analysis with linear regression model with adjustment of age, parity, smoking, alcohol consumption, and assisted reproduction. The association between pre-pregnancy BMI and PHQ-9 or SCL-90 diagnosed depressive phenotypes was analyzed by Chi-square test and logistic regression respectively. RESULTS: A total of 12,099 pregnant women were included, where 100% of them filled out the PHQ-9 scale and 99.6% filled out the SCL-90 scale, and 47.26% and 4.62% of the pregnant women had depressive phenotypes, respectively. Women with higher pre-pregnancy BMI had lower depressive phenotypes scores during pregnancy. Multivariable analysis of the PHQ-9 scale showed that overweight/obese subjects had a higher incidence of depressive phenotypes compared with subjects with normal BMI (OR=0.803, 95% CI [0.723, 0.892]). In a stratified analysis assessed by the PHQ-9, women who were overweight/obese prior to pregnancy were less likely to develop depressive phenotypes during pregnancy than women who were normal weight prior to pregnancy, regardless of whether they were nulliparous (OR=0.795, 95%CI[0.696,0.908]) or multiparous (OR=0.809, 95%CI[0.0.681,0.962]), while in the three age groups of 25-29 years, 30-34 years and ≥35 years, pre-pregnancy overweight/obesity were associated with lower risk of gestational depressive phenotypes. However, analysis of the SCL-90 scale showed no statistical association between depressive symptom and BMI. No substantial interaction was observed between BMI and parity or age. CONCLUSIONS: Increased pre-pregnancy BMI may be associated with reduced risk of gestational depressive phenotypes in Chinese women. Independent studies are warranted to validate the findings of the present study.
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spelling pubmed-98714622023-01-25 Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China Chen, Yi Gu, Huayan Zhou, Niya Zhou, Wenzheng Cao, Jia Chen, Qing Zhang, Haiyan Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: To investigate the association between pre-pregnancy body mass index (BMI) and gestational depressive phenotypes. METHODS: The pregnant women receiving the first prenatal examination (4th –13th week of gestation) in Chongqing Health Center for Women and Children were recruited between February 2020 and September 2021. Depressive phenotypes was assessed by the Patient Health Questionnaire (PHQ-9) and the Symptom Checklist 90 (SCL-90) scale at recruitment. Pre-pregnancy weight and height were self-reported by the participants. Demographic and obstetric characteristics were obtained from the hospital information system. The association between pre-pregnancy BMI and the scores of PHQ-9 or SCL-90 scale was investigated by uni-variate analysis with Kruskal-Wallis test and by multi-variate analysis with linear regression model with adjustment of age, parity, smoking, alcohol consumption, and assisted reproduction. The association between pre-pregnancy BMI and PHQ-9 or SCL-90 diagnosed depressive phenotypes was analyzed by Chi-square test and logistic regression respectively. RESULTS: A total of 12,099 pregnant women were included, where 100% of them filled out the PHQ-9 scale and 99.6% filled out the SCL-90 scale, and 47.26% and 4.62% of the pregnant women had depressive phenotypes, respectively. Women with higher pre-pregnancy BMI had lower depressive phenotypes scores during pregnancy. Multivariable analysis of the PHQ-9 scale showed that overweight/obese subjects had a higher incidence of depressive phenotypes compared with subjects with normal BMI (OR=0.803, 95% CI [0.723, 0.892]). In a stratified analysis assessed by the PHQ-9, women who were overweight/obese prior to pregnancy were less likely to develop depressive phenotypes during pregnancy than women who were normal weight prior to pregnancy, regardless of whether they were nulliparous (OR=0.795, 95%CI[0.696,0.908]) or multiparous (OR=0.809, 95%CI[0.0.681,0.962]), while in the three age groups of 25-29 years, 30-34 years and ≥35 years, pre-pregnancy overweight/obesity were associated with lower risk of gestational depressive phenotypes. However, analysis of the SCL-90 scale showed no statistical association between depressive symptom and BMI. No substantial interaction was observed between BMI and parity or age. CONCLUSIONS: Increased pre-pregnancy BMI may be associated with reduced risk of gestational depressive phenotypes in Chinese women. Independent studies are warranted to validate the findings of the present study. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9871462/ /pubmed/36704036 http://dx.doi.org/10.3389/fendo.2022.1058160 Text en Copyright © 2023 Chen, Gu, Zhou, Zhou, Cao, Chen and Zhang 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 Endocrinology
Chen, Yi
Gu, Huayan
Zhou, Niya
Zhou, Wenzheng
Cao, Jia
Chen, Qing
Zhang, Haiyan
Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China
title Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China
title_full Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China
title_fullStr Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China
title_full_unstemmed Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China
title_short Pre-pregnancy BMI was associated with gestational depressive phenotypes in a population of 12,099 women in Chongqing, China
title_sort pre-pregnancy bmi was associated with gestational depressive phenotypes in a population of 12,099 women in chongqing, china
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871462/
https://www.ncbi.nlm.nih.gov/pubmed/36704036
http://dx.doi.org/10.3389/fendo.2022.1058160
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