Risk factors for the development of postpartum depression in individuals who screened positive for antenatal depression

被引:9
作者
Yu, Jingjing [1 ]
Zhang, Zhiyin [2 ]
Deng, Yuanyuan [1 ]
Zhang, Lijun [1 ]
He, Chuncao [1 ]
Wu, Yinyin [3 ]
Xu, Xianrong [1 ]
Yang, Jun [1 ,4 ]
机构
[1] Hangzhou Normal Univ, Sch Publ Hlth, Dept Nutr & Toxicol, 2318 Yuhangtang Rd, Hangzhou 311121, Zhejiang, Peoples R China
[2] Hangzhou Normal Univ, Affiliated Hangzhou Womens Hosp, Dept Obstet, Hangzhou, Peoples R China
[3] Hangzhou Normal Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Hangzhou, Peoples R China
[4] Zhejiang Univ, Affiliated Womens Hosp, Zhejiang Prov Res Ctr Diag & Treatment Uterine Can, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Antenatal depression; Postpartum depression; Sleep quality; Social support; Path analysis model; POSTNATAL DEPRESSION; PREGNANCY; WOMEN; SLEEP; SYMPTOMS; MOOD;
D O I
10.1186/s12888-023-05030-1
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundWomen with antenatal depression often have a higher risk of developing postpartum depression (PPD) after delivery. A number of factors associated with the PDD in those previously reporting antenatal depression have been suggested, but further research is needed. This study aimed to investigate factors associated with developing subsequent postnatal depression in women who had screened positive for antenatal depression.MethodsThis study was carried out in Hangzhou women's Hospital. 578 women who experienced antenatal depression from this cohort were enrolled in this study. The sociodemographic and clinical characteristics of the participants were collected and tabulated against the incidence of postnatal depression. Binary logistic regression was used to estimate the effects of the principal underlying variables. The Chinese-version Edinburgh Postnatal Depression Scale (EPDS) was used to screen for PPD. Antenatal screening for depression was conducted at 28-34 weeks during pregnancy and postpartum depressive symptoms were assessed at 6 weeks after childbirth in the women. Path Analysis of Structural Equation Model (SEM) was employed to explore the direct, indirect, and total effects of risk factors of PPD.Results57.6% (n = 333) of the participants subsequently developed PPD in our study. The results of the logistic analysis indicated that ages & LE; 35 years old (OR = 1.852; 95%CI: 1.002-3.423), non-one-child families (OR = 1.518; 95%CI: 1.047-2.200), and rare care from partner during pregnancy (OR = 2.801; 95%CI: 1.038-7.562), the antenatal EPDS score (OR = 1.128; 95%CI: 1.052-1.209), pyrexia during pregnancy (OR = 2.43; 95%CI: 1.358-4.345), fairly good (OR = 1.836; 95%CI: 1.009-3.340), fairly bad (OR = 3.919; 95%CI:2.072-7.414) and very bad postpartum sleep quality (OR = 9.18; 95%CI: 2.335-36.241) were associated with increased risk of PPD (compared to very good postpartum sleep quality). In path analysis model, antenatal EPDS score (standardized total & beta; = 0.173) and pyrexia during pregnancy (standardized total & beta; = 0.132) had both direct and indirect effects (the impact on outcome variables needs to be determined through other variables) on PPD. Sleep quality after delivery (standardized & beta; = 0.226) and one-child family (standardized & beta; = 0.088) had direct effects only on PPD.ConclusionThe results from our study indicated that more than 50% of the women who experienced antepartum depression would subsequently develop PPD. Depressive symptoms and pyrexia during pregnancy increase PPD scores, and these effects were in part mediated via poor sleep quality during the postpartum period.
引用
收藏
页数:12
相关论文
共 51 条
  • [1] Associations between advanced maternal age and psychological distress in primiparous women, from early pregnancy to 18 months postpartum
    Aasheim, V.
    Waldenstrom, U.
    Hjelmstedt, A.
    Rasmussen, S.
    Pettersson, H.
    Schytt, E.
    [J]. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2012, 119 (09) : 1108 - 1116
  • [2] Sleep and Mood During Pregnancy and the Postpartum Period
    Bei, Bei
    Coo, Soledad
    Trinder, John
    [J]. SLEEP MEDICINE CLINICS, 2015, 10 (01) : 25 - +
  • [3] Identifying the women at risk of antenatal anxiety and depression: A systematic review
    Biaggi, Alessandra
    Conroy, Susan
    Pawlby, Susan
    Pariante, Carmine M.
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2016, 191 : 62 - 77
  • [4] The risk factors of antenatal depression: A cross-sectional survey
    Chen, Jiarui
    Cross, Wendy M.
    Plummer, Virginia
    Lam, Louisa
    Sun, Mei
    Qin, Chunxiang
    Tang, Siyuan
    [J]. JOURNAL OF CLINICAL NURSING, 2019, 28 (19-20) : 3599 - 3609
  • [5] Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
    Dadi, Abel Fekadu
    Miller, Emma R.
    Woodman, Richard
    Bisetegn, Telake Azale
    Mwanri, Lillian
    [J]. BMC PREGNANCY AND CHILDBIRTH, 2020, 20 (01)
  • [6] DongHoon Kang,, 2019, [Journal of Social Science, 사회과학연구], V58, P197, DOI 10.22418/JSS.2019.6.58.1.197
  • [7] PATH ANALYSIS - SOCIOLOGICAL EXAMPLES
    DUNCAN, OD
    [J]. AMERICAN JOURNAL OF SOCIOLOGY, 1966, 72 (01) : 1 - 16
  • [8] The Impact of Antenatal Depression on Perinatal Outcomes in Australian Women
    Eastwood, John
    Ogbo, Felix A.
    Hendry, Alexandra
    Noble, Justine
    Page, Andrew
    [J]. PLOS ONE, 2017, 12 (01):
  • [9] Antenatal depression strongly predicts postnatal depression in primary health care
    Faisal-Cury, Alexandre
    Menezes, Paulo Rossi
    [J]. REVISTA BRASILEIRA DE PSIQUIATRIA, 2012, 34 (04) : 446 - 450
  • [10] Finney J.M., 1972, Sociological Methods Research, V1, P175, DOI DOI 10.1177/004912417200100202