The prevalence and related factors of maternal anxiety and depression in Shanghai: a multicenter study based on health ecology model

ZHU Tingyu; WANG Ziwen; XIONG Chenhan; SHEN Ye; GU Tingting; JIN Longmei; GU Chunyi; WANG Liping; HUANG Ling; SHI Yunmei; WU Jianfeng; XIE Zhenyu; JIANG Hong

doi:10.16462/j.cnki.zhjbkz.2024.01.008

Volume 28 Issue 1

Jan. 2024

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2024 > 28(1): 46-55

ZHU Tingyu, WANG Ziwen, XIONG Chenhan, SHEN Ye, GU Tingting, JIN Longmei, GU Chunyi, WANG Liping, HUANG Ling, SHI Yunmei, WU Jianfeng, XIE Zhenyu, JIANG Hong. The prevalence and related factors of maternal anxiety and depression in Shanghai: a multicenter study based on health ecology model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 46-55. doi: 10.16462/j.cnki.zhjbkz.2024.01.008

Citation:

ZHU Tingyu, WANG Ziwen, XIONG Chenhan, SHEN Ye, GU Tingting, JIN Longmei, GU Chunyi, WANG Liping, HUANG Ling, SHI Yunmei, WU Jianfeng, XIE Zhenyu, JIANG Hong. The prevalence and related factors of maternal anxiety and depression in Shanghai: a multicenter study based on health ecology model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 46-55. doi: 10.16462/j.cnki.zhjbkz.2024.01.008

Citation:

ZHU Tingyu, WANG Ziwen, XIONG Chenhan, SHEN Ye, GU Tingting, JIN Longmei, GU Chunyi, WANG Liping, HUANG Ling, SHI Yunmei, WU Jianfeng, XIE Zhenyu, JIANG Hong. The prevalence and related factors of maternal anxiety and depression in Shanghai: a multicenter study based on health ecology model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 46-55. doi: 10.16462/j.cnki.zhjbkz.2024.01.008

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The prevalence and related factors of maternal anxiety and depression in Shanghai: a multicenter study based on health ecology model

doi: 10.16462/j.cnki.zhjbkz.2024.01.008

1.
Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Key Laboratory of Health Technology Evaluation (National Health Commission), Shanghai 200032, China
2.
Department of Maternal Care, Shanghai Jiading District Maternal and Child Health Care Hospital, Shanghai 201821, China
3.
Maternal Mental Health Clinic, Maternal and Child Health Care Hospital of Shanghai Pudong New Area, Shanghai 201206, China
4.
Department of Maternal Health, Maternal and Child Health Care Center of Pudong New Area in Shanghai, Shanghai 201399, China
5.
Department of Maternal Health, Minhang District Maternal and Child Health Hospital, Shanghai 201102, China
6.
Department of Nursing, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China
7.
Department of Health Education, International Peace Maternal and Child Health Hospital, Shanghai 200030, China
8.
Department of Obstetrics and Gynecology, Shanghai Sixth People′s Hospital, Shanghai 200233, China
9.
Maternal and Child Health Centre, Changning Maternity and Infant Health Hospital, Shanghai 200050, China
10.
Department of Obstetrics and Gynecology, Fengxian District, Fengcheng Hospital, Shanghai 201411, China
11.
Department of Prevention and Health Care, Maternal and Child Health Care Hospital of Shanghai Pudong New Area, Shanghai 201206, China

Funds:

The Key Discipline and Project of High-Quality Development of Public Health of School of Public Health, Fudan University-Jiading District Health Commission GWGZLXK-2023-04

Shanghai Women′s Federation Year 2022

The Key Discipline Program of Three-Year Strengthening Public Health Action Plan (2023-2025) of Shanghai GWVI-11.1-32

Discipline Leader Program of Three-Year Public Health Action Plan of Shanghai GWV-10.2-XD10

More Information

Corresponding author: JIANG Hong, E-mail: h_jiang@fudan.edu.cn
Received Date: 2023-08-08
Rev Recd Date: 2023-10-24

Available Online: 2024-02-05

Publish Date: 2024-01-10

Abstract

Abstract

Objective To understand the prevalence of maternal anxiety and depression in Shanghai and to explore the factors associated with them based on the Health ecology model. Methods Multistage stratified sampling method was used. A multicenter, cross-sectional survey was conducted from November 2022 to April 2023 in Shanghai. Generalized anxiety disorder-7 (GAD-7) and patient health questionnaire-9 (PHQ-9) were used to evaluate anxiety and depression symptoms of pregnant women. Related factors and their effect size were analyzed based on the health ecology model. Results A total of 1 941 valid questionnaires were collected. Among these subjects, 891 were during pregnancy and 1 050 were during postpartum. The detection rate of anxiety and depression during pregnancy were 19.5% (95% CI: 0.169-0.221) and 30.4% (95% CI: 0.274-0.334), respectively. The detection rate of postpartum anxiety and depression symptoms were 18.2% (95% CI: 0.159-0.205) and 23.2% (95% CI: 0.207-0.258), respectively. The binary logistic regression model analysis showed that being in the first trimester, gravidity≥2, with history of mental illness, negative events during and after pregnancy, inactive physical activity, worse sleep quality, introversion, lower life satisfaction, less social support, poorer pregnancy related knowledge, unfavorite baby gender, and dissatisfaction with postpartum rest conditions were significantly associated with anxiety or depression symptoms during pregnancy or postpartum (all P < 0.05). Conclusions The detection rate of anxiety and depression in pregnant and postpartum women in Shanghai are relatively high. The factors associated with anxiety and depression are multidimensional. During prenatal and postpartum examinations, close attention should be paid to women with these risk factors and targeted mental health care services should be provided.
- Maternal,
- Anxiety,
- Depression,
- Health ecology model,
- Related factors

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References(13)

References

[1]	Field T. Prenatal depression effects on early development: a review[J]. Infant Behav Dev, 2011, 34(1): 1-14. DOI: 10.1016/j.infbeh.2010.09.008.
[2]	Nisar A, Yin J, Waqas A, et al. Prevalence of perinatal depression and its determinants in Mainland China: a systematic review and meta-analysis[J]. J Affect Disord, 2020, 277: 1022-1037. DOI: 10.1016/j.jad.2020.07.046.
[3]	Dennis CL, Falah-Hassani K, Shiri R. Prevalence of antenatal and postnatal anxiety: systematic review and meta-analysis[J]. Br J Psychiatry, 2017, 210(5): 315-323. DOI: 10.1192/bjp.bp.116.187179.
[4]	Peñacoba-Puente C, Marín-Morales D, Carmona-Monge FJ, et al. Post-partum depression, personality, and cognitive-emotional factors: a longitudinal study on Spanish pregnant women[J]. Health Care Women Int, 2016, 37(1): 97-117. DOI: 10.1080/07399332.2015.1066788.
[5]	潘秋予, 李印龙, 麦陈耀, 等. 健康生态学研究进展[J]. 济宁医学院学报, 2022, 45(4): 229-233. DOI: 10.3969/j.issn.1000-9760.2022.04.001. Pan QY, Li YL, Mai CY, et al. Research progress in health ecology[J]. J Jining Med Univ, 2022, 45(4): 229-233. DOI: 10.3969/j.issn.1000-9760.2022.04.001.
[6]	Spitzer RL, Kroenke K, Williams JBW, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7[J]. Arch Intern Med, 2006, 166(10): 1092-1097. DOI: 10.1001/archinte.166.10.1092.
[7]	Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure[J]. J Gen Intern Med, 2001, 16(9): 606-613. DOI: 10.1046/j.1525-1497.2001.016009606.x.
[8]	肖水源. 《社会支持评定量表》的理论基础与研究应用[J]. 临床精神医学杂志, 1994, 4(2): 98-100. Xiao SY. Theoretical basis and research application of the social support rating scale[J]. J Clin Psychol Med, 1994, 4(2): 98-100.
[9]	Logsdon MC, Usui WM. The Postpartum Support Questionnaire: psychometric properties in adolescents[J]. J Child Adolesc Psychiatr Nurs, 2006, 19(3): 145-156. DOI: 10.1111/j.1744-6171.2006.00062.x.
[10]	Corrigan JD, Kolakowsky-Hayner S, Wright J, et al. The satisfaction with life scale[J]. J Head Trauma Rehabil, 2013, 28(6): 489-491. DOI: 10.1097/HTR.0000000000000004.
[11]	钱铭怡, 武国城, 朱荣春, 等. 艾森克人格问卷简式量表中国版(EPQ-RSC)的修订[J]. 心理学报, 2000, 32(3): 317-323. Qian MY, Wu GC, Zhu RC, et al. Development of the revised eysenck personality questionnaire short scale for Chinese (epq-rsc)[J]. Acta Psychol Sin, 2000, 32(3): 317-323.
[12]	Gerdesmeyer L, Klueter T, Rahlfs VW, et al. Randomized placebo-controlled placebo trial to determine the placebo effect size[J]. Pain Physician, 2017, 20(5): 387-396.
[13]	沈光辉, 范涌峰, 陈婷. 教育研究中的P值使用: 问题及对策——兼谈效应量的使用[J]. 数学教育学报, 2019, 28(4): 92-98. Shen GH, Fan YF, Chen T. Using P value in educational research: problems and countermeasures——concurrently discussing about the use of effect quantity[J]. J Math Educ, 2019, 28(4): 92-98.