Social and obstetric risk factors of antenatal depression: A cross-sectional study in China

被引:0
作者
He, Zi-Ping [1 ,2 ]
Cheng, Jun-Zhe [2 ,3 ]
Yu, Yan [4 ]
Wang, Yu-Bo [2 ,3 ]
Wu, Chen-Kun [2 ]
Ren, Zhi-Xuan [3 ]
Peng, Yi-Lin [3 ]
Xiong, Jin-Tao [3 ]
Qin, Xue-Mei [3 ]
Peng, Zhuo [3 ]
Mao, Wei-Guo [3 ]
Chen, Ming-Fang [4 ]
Zhang, Li [3 ]
Ju, Yu-Meng [3 ]
Liu, Jin [3 ]
Liu, Bang-Shan [3 ]
Wang, Mi [1 ]
Zhang, Yan [3 ]
机构
[1] Cent South Univ, Xiangya Hosp, Dept Mental Hlth Ctr, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[2] Cent South Univ, Xiangya Sch Med, Changsha 410013, Hunan, Peoples R China
[3] Cent South Univ, Xiangya Hosp 2, Dept Psychiat, Changsha 410011, Hunan, Peoples R China
[4] Baoan Maternal & Child Hlth Care Hosp, Dept Obstet, Shenzhen 518100, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Antenatal depression; Pregnancy; Edinburgh Postnatal Depression Scale; Social risk factors; Obstetric risk factors; PERINATAL DEPRESSION; UNPLANNED PREGNANCY; PREVALENCE; WOMEN;
D O I
10.5498/wjp.v15.i4.100650
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BACKGROUND Antenatal depression is a disabling mental disorder among pregnant women and may cause adverse outcomes for both the mother and the offspring. Early identification and intervention of antenatal depression can help to prevent adverse outcomes. However, there have been few population-based studies focusing on the association of social and obstetric risk factors with antenatal depression in China. AIM To assess the sociodemographic and obstetric factors of antenatal depression and compare the network structure of depressive symptoms across different risk levels based on a large Chinese population. METHODS The cross-sectional survey was conducted in Shenzhen, China from 2020 to 2024. Antenatal depression was assessed using the Chinese version of the Edinburgh Postnatal Depression Scale (EPDS), with a score of >= 13 indicating the presence of probable antenatal depression. The chi 2 test and binary logistic regression were used to identify the factors associated with antenatal depression. Network analyses were conducted to investigate the structure of depressive symptoms across groups with different risk levels. RESULTS Among the 44220 pregnant women, the prevalence of probable antenatal depression was 4.4%. An age <= 24 years, a lower level of education (<= 12 years), low or moderate economic status, having a history of mental disorders, being in the first trimester, being a primipara, unplanned pregnancy, and pregnancy without pre-pregnancy screening were found to be associated with antenatal depression (all P < 0.05). Depressive symptom networks across groups with different risk levels revealed robust interconnections between symptoms. EPDS8 ("sad or miserable") and EPDS4 ("anxious or worried") showed the highest nodal strength across groups with different risk levels. CONCLUSION This study suggested that the prevalence of antenatal depression was 4.4%. Several social and obstetric factors were identified as risk factors for antenatal depression. EPDS8 ("sad or miserable") and EPDS4 ("anxious or worried") are pivotal targets for clinical intervention to alleviate the burden of antenatal depression. Early identification of high-risk groups is crucial for the development and implementation of intervention strategies to improve the overall quality of life for pregnant women.
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页数:13
相关论文
共 34 条
[21]   Prevalence of perinatal depression and its determinants in Mainland China: A systematic review and meta-analysis [J].
Nisar, Anum ;
Yin, Juan ;
Waqas, Ahmed ;
Bai, Xue ;
Wang, Duolao ;
Rahman, Atif ;
Li, Xiaomei .
JOURNAL OF AFFECTIVE DISORDERS, 2020, 277 :1022-1037
[22]   Social and obstetric risk factors of antenatal depression: A cross-sectional study from South-India [J].
Nisarga, Vinyas ;
Anupama, M. ;
Madhu, K. N. .
ASIAN JOURNAL OF PSYCHIATRY, 2022, 72
[23]  
Prabhu Savitha, 2022, Depress Res Treat, V2022, P9127358, DOI [10.1155/2022/9127358, 10.1155/2022/9127358]
[24]   Unplanned pregnancy and discontinuation of SSRIs in pregnant women with previously treated affective disorder [J].
Roca, A. ;
Imaz, M. L. ;
Torres, A. ;
Plaza, A. ;
Subira, S. ;
Valdes, M. ;
Martin-Santos, R. ;
Garcia-Esteve, Ll .
JOURNAL OF AFFECTIVE DISORDERS, 2013, 150 (03) :807-813
[25]   Social support and stressful life events: risk factors for antenatal depression in nulliparous and multiparous women [J].
Rodriguez-Munoz, Maria F. ;
Marcos-Najera, Rosa ;
Amezcua, Maria Dolores ;
Soto-Balbuena, Cristina ;
Le, Huynh-Nhu ;
Al-halabi, Susana .
WOMEN & HEALTH, 2024, 64 (03) :216-223
[26]   Perinatal depression and associated factors in Ethiopia: a systematic review and meta-analysis [J].
Rtbey, Gidey ;
Andualem, Fantahun ;
Nakie, Girum ;
Takelle, Girmaw Medfu ;
Mihertabe, Milen ;
Fentahun, Setegn ;
Melkam, Mamaru ;
Tadesse, Gebresilassie ;
Birhan, Belete ;
Tinsae, Techilo .
BMC PSYCHIATRY, 2024, 24 (01)
[27]   Psychosocial and Sociocultural Factors Influencing Antenatal Anxiety and Depression in Non-precarious Migrant Women [J].
Sharapova, Anna ;
Ratcliff, Betty Goguikian .
FRONTIERS IN PSYCHOLOGY, 2018, 9
[28]   Effects of perinatal mental disorders on the fetus and child [J].
Stein, Alan ;
Pearson, Rebecca M. ;
Goodman, Sherryl H. ;
Rapa, Elizabeth ;
Rahman, Atif ;
McCallum, Meaghan ;
Howard, Louise M. ;
Pariante, Carmine M. .
LANCET, 2014, 384 (9956) :1800-1819
[29]   Association of Symptom Network Structure With the Course of Longitudinal Depression [J].
van Borkulo, Claudia ;
Boschloo, Lynn ;
Borsboom, Denny ;
Penninx, Brenda W. J. H. ;
Waldorp, Lourens J. ;
Schoevers, Robert A. .
JAMA PSYCHIATRY, 2015, 72 (12) :1219-1226
[30]   Low socioeconomic status increases effects of negative life events on antenatal anxiety and depression [J].
Verbeek, Tjitte ;
Bockting, Claudi L. H. ;
Beijers, Chantal ;
Meijer, Judith L. ;
van Pampus, Marielle G. ;
Burger, Huibert .
WOMEN AND BIRTH, 2019, 32 (01) :E138-E143