Associations between lifestyle and comorbid anxiety and depression in pregnant women

BackgroundAnxiety and depression are common perinatal mental health issues that often occur together and can have serious negative effects on both maternal and infant health. ObjectiveTo examine the relationships between lifestyle factors and comorbid anxiety and depression (CAD) among pregnant wome...

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Main Authors: Jiaqi ZHENG, Liyao HUANG, Yan ZHANG, Mengbi SHEN, Xiaojin WANG, Hong LI, Zhiwei LIU, Ying TIAN, Xiaoning LEI, Yu GAO
Format: Article
Language:English
Published: Editorial Committee of Journal of Environmental and Occupational Medicine 2024-03-01
Series:环境与职业医学
Subjects:
Online Access:http://www.jeom.org/article/cn/10.11836/JEOM23305
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author Jiaqi ZHENG
Liyao HUANG
Yan ZHANG
Mengbi SHEN
Xiaojin WANG
Hong LI
Zhiwei LIU
Ying TIAN
Xiaoning LEI
Yu GAO
author_facet Jiaqi ZHENG
Liyao HUANG
Yan ZHANG
Mengbi SHEN
Xiaojin WANG
Hong LI
Zhiwei LIU
Ying TIAN
Xiaoning LEI
Yu GAO
author_sort Jiaqi ZHENG
collection DOAJ
description BackgroundAnxiety and depression are common perinatal mental health issues that often occur together and can have serious negative effects on both maternal and infant health. ObjectiveTo examine the relationships between lifestyle factors and comorbid anxiety and depression (CAD) among pregnant women in Shanghai. MethodsThe study estimated the prevalence of CAD during the first, second, and third trimesters of pregnancy using the Self-rating Anxiety Scale (SAS) and Center for Epidemiological Studies-Depression (CES-D) based on data from the China National Birth Cohort (CNBC) embryonic-derived diseases with assisted reproductive technology (ART) sub-cohort. Information on demographics, sleep status, nutritional intake, and exercise during each trimester was collected through self-made questionnaires, the Pittsburgh Sleep Quality Index (PSQI), and the Food Frequency Questionnaire (FFQ). Lifestyle factors (such as sleep status, nutritional intake, and exercise during each trimester) were analyzed using logistic regression and generalized linear mixed models (GLMM) to determine their impacts on the prevalence of CAD (yes or no) among pregnant women. ResultsA total of 2876 pregnant women were included in this study. The prevalence of CAD was 10.6% (305), 3.6% (103), and 5.5% (159) in the first, second, and third trimesters of pregnancy, respectively. The logistic regression analysis revealed that poor sleep quality throughout the entire pregnancy were statistically associated with an increased prevalence of CAD, and the odds ratios (OR) with 95% confidence intervals (CI) were 2.817 (1.845, 4.301), 2.840 (1.855, 4.347), and 9.316 (5.835, 14.876) for the first, second, and third trimesters, respectively, when compared to good sleep quality. Additionally, compared to an intake frequency of 7 times per week, the frequency of egg intake ≤3 times per week in the first trimester (OR=2.025, 95%CI: 1.197, 3.425) and the frequency of egg intake of 4–6 times per week (OR=1.896, 95%CI: 1.117, 3.216) or ≤3 times per week (OR=1.906, 95%CI: 1.082, 3.357) in the third trimester were associated with an increased risk of CAD (P<0.05). Moreover, when compared to a frequency of exercise >3 times per week, never or almost never exercising in the second trimester (OR=2.218, 95%CI: 1.220, 4.035) was associated with an increased risk of CAD (P<0.05). The GLMM analysis also demonstrated a significant association between poor sleep quality, lower exercise frequency, or lower intake frequency of vegetables, eggs, or milk and an increased risk of CAD (P<0.05). ConclusionThe prevalence of CAD among pregnant women in Shanghai follows a U-shaped distribution, with the highest rate occurring in early pregnancy and the lowest rate in mid-pregnancy. Factors such as poor sleep quality, inadequate intake of vegetables, eggs, or milk, and lack of exercise during pregnancy may increase the risk of CAD. Implementing lifestyle interventions during pregnancy could potentially reduce the risk of mental health problems and improve the overall health of both mothers and babies.
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spelling doaj.art-cdf1e38fffa846cabcf766126b9b63d72024-04-07T06:51:56ZengEditorial Committee of Journal of Environmental and Occupational Medicine环境与职业医学2095-99822024-03-0141323524210.11836/JEOM2330523305Associations between lifestyle and comorbid anxiety and depression in pregnant womenJiaqi ZHENG0Liyao HUANG1Yan ZHANG2Mengbi SHEN3Xiaojin WANG4Hong LI5Zhiwei LIU6Ying TIAN7Xiaoning LEI8Yu GAO9Shanghai Jiao Tong University School of Medicine Department of Environment and Health, School of Public HealthDepartment of Mathematics and Applied Mathematics, College of Science, Shanghai University, Shanghai 200444, ChinaShanghai Jiao Tong University School of Medicine Department of Environment and Health, School of Public HealthDepartment of Mathematics and Applied Mathematics, College of Science, Shanghai University, Shanghai 200444, ChinaShanghai Jiao Tong University School of Medicine Clinical Research Center Biostatistics Teaching and Research Office, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaShanghai Jiao Tong University School of Medicine International Peace Maternity and Child Health HospitalShanghai Jiao Tong University School of Medicine International Peace Maternity and Child Health HospitalShanghai Jiao Tong University School of Medicine Department of Environment and Health, School of Public HealthShanghai Jiao Tong University School of Medicine Department of Environment and Health, School of Public HealthShanghai Jiao Tong University School of Medicine Department of Environment and Health, School of Public HealthBackgroundAnxiety and depression are common perinatal mental health issues that often occur together and can have serious negative effects on both maternal and infant health. ObjectiveTo examine the relationships between lifestyle factors and comorbid anxiety and depression (CAD) among pregnant women in Shanghai. MethodsThe study estimated the prevalence of CAD during the first, second, and third trimesters of pregnancy using the Self-rating Anxiety Scale (SAS) and Center for Epidemiological Studies-Depression (CES-D) based on data from the China National Birth Cohort (CNBC) embryonic-derived diseases with assisted reproductive technology (ART) sub-cohort. Information on demographics, sleep status, nutritional intake, and exercise during each trimester was collected through self-made questionnaires, the Pittsburgh Sleep Quality Index (PSQI), and the Food Frequency Questionnaire (FFQ). Lifestyle factors (such as sleep status, nutritional intake, and exercise during each trimester) were analyzed using logistic regression and generalized linear mixed models (GLMM) to determine their impacts on the prevalence of CAD (yes or no) among pregnant women. ResultsA total of 2876 pregnant women were included in this study. The prevalence of CAD was 10.6% (305), 3.6% (103), and 5.5% (159) in the first, second, and third trimesters of pregnancy, respectively. The logistic regression analysis revealed that poor sleep quality throughout the entire pregnancy were statistically associated with an increased prevalence of CAD, and the odds ratios (OR) with 95% confidence intervals (CI) were 2.817 (1.845, 4.301), 2.840 (1.855, 4.347), and 9.316 (5.835, 14.876) for the first, second, and third trimesters, respectively, when compared to good sleep quality. Additionally, compared to an intake frequency of 7 times per week, the frequency of egg intake ≤3 times per week in the first trimester (OR=2.025, 95%CI: 1.197, 3.425) and the frequency of egg intake of 4–6 times per week (OR=1.896, 95%CI: 1.117, 3.216) or ≤3 times per week (OR=1.906, 95%CI: 1.082, 3.357) in the third trimester were associated with an increased risk of CAD (P<0.05). Moreover, when compared to a frequency of exercise >3 times per week, never or almost never exercising in the second trimester (OR=2.218, 95%CI: 1.220, 4.035) was associated with an increased risk of CAD (P<0.05). The GLMM analysis also demonstrated a significant association between poor sleep quality, lower exercise frequency, or lower intake frequency of vegetables, eggs, or milk and an increased risk of CAD (P<0.05). ConclusionThe prevalence of CAD among pregnant women in Shanghai follows a U-shaped distribution, with the highest rate occurring in early pregnancy and the lowest rate in mid-pregnancy. Factors such as poor sleep quality, inadequate intake of vegetables, eggs, or milk, and lack of exercise during pregnancy may increase the risk of CAD. Implementing lifestyle interventions during pregnancy could potentially reduce the risk of mental health problems and improve the overall health of both mothers and babies.http://www.jeom.org/article/cn/10.11836/JEOM23305comorbid anxiety and depressionmental healthlifestylepregnant womanthe first trimesterthe second trimesterthe third trimester
spellingShingle Jiaqi ZHENG
Liyao HUANG
Yan ZHANG
Mengbi SHEN
Xiaojin WANG
Hong LI
Zhiwei LIU
Ying TIAN
Xiaoning LEI
Yu GAO
Associations between lifestyle and comorbid anxiety and depression in pregnant women
环境与职业医学
comorbid anxiety and depression
mental health
lifestyle
pregnant woman
the first trimester
the second trimester
the third trimester
title Associations between lifestyle and comorbid anxiety and depression in pregnant women
title_full Associations between lifestyle and comorbid anxiety and depression in pregnant women
title_fullStr Associations between lifestyle and comorbid anxiety and depression in pregnant women
title_full_unstemmed Associations between lifestyle and comorbid anxiety and depression in pregnant women
title_short Associations between lifestyle and comorbid anxiety and depression in pregnant women
title_sort associations between lifestyle and comorbid anxiety and depression in pregnant women
topic comorbid anxiety and depression
mental health
lifestyle
pregnant woman
the first trimester
the second trimester
the third trimester
url http://www.jeom.org/article/cn/10.11836/JEOM23305
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