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Luo T, Zhang Z, Li J, Li Y, Xiao W, Zhou Y, Jing Q, Zhao L. Efficacy of Nurse-led Telepsychological Intervention for Patients with Postpartum Depression: A Systematic Review and Meta-analysis. ALPHA PSYCHIATRY 2024; 25:304-311. [PMID: 39148599 PMCID: PMC11322730 DOI: 10.5152/alphapsychiatry.2024.231492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/15/2024] [Indexed: 08/17/2024]
Abstract
Objective The aim of the study was to systematically evaluate the therapeutic effect of nurse-led telepsychological intervention on patients with postpartum depression. Methods PubMed, Embase, CINAHL, Web of Science, the Cochrane Library, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Wanfang Database, and China VIP database were searched for articles on the effectiveness of remote psychological intervention in improving postpartum depression. The search time was limited from the establishment of the database to December 2023. The literature was screened, and data were extracted. The Cochrane risk of bias assessment tool was used to evaluate the quality of randomized controlled trials that met standards, and RevMan5.4 was used for meta-analysis. Results A total of 14 studies involving 1765 patients from 9 countries were included. Meta-analysis results showed that compared with routine care, telepsychological intervention can alleviate maternal depression (Standard Mean Difference [SMD] = -0.60, 95% CI [-0.91, -0.29], I 2 = 88%, P < .01). Sensitivity and subgroup analyses revealed that 3 studies using the Edinburgh Postpartum Depression Scale evaluation tool were the source of heterogeneity in the meta-analysis. Conclusion Telepsychological postpartum depression intervention can effectively improve postpartum depression, indicating that it has a certain clinical application value.
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Affiliation(s)
- Ting Luo
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Zhenyu Zhang
- Mental Health Center, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Juan Li
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - YanJun Li
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Wendan Xiao
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Yanxi Zhou
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Qian Jing
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
| | - Lihong Zhao
- Department of Radiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China
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Zhang Y, Liu X, Liu M, Li M, Chen P, Yan G, Ma Q, Li Y, You D. Multidimensional influencing factors of postpartum depression based on the perspective of the entire reproductive cycle: evidence from western province of China. Soc Psychiatry Psychiatr Epidemiol 2024:10.1007/s00127-024-02686-2. [PMID: 38789557 DOI: 10.1007/s00127-024-02686-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 05/03/2024] [Indexed: 05/26/2024]
Abstract
OBJECTIVE China has a serious burden of Postpartum depression (PPD). In order to improve the current situation of high burden of PPD, this study explores the factors affecting PPD from the multidimensional perspectives with physiology, family support and social support covering the full-time chain of pre-pregnancy-pregnancy-postpartum. METHODS A follow-up survey was conducted in the Qujing First People's Hospital of Yunnan Province from 2020 to 2022, and a total of 4838 pregnant women who underwent antenatal checkups in the hospital were enrolled as study subjects. Mothers were assessed for PPD using the Edinburgh Postnatal Depression Scale (EPDS), and logistic regression was used to analyse the level of mothers' postnatal depression and identify vulnerability characteristics. RESULTS The prevalence of mothers' PPD was 46.05%, with a higher prevalence among those who had poor pre-pregnancy health, had sleep problems during pregnancy, and only had a single female fetus. In the family support dimension, only family care (OR = 0.52, 95% CI 0.42-0.64) and only other people care(OR = 0.78, 95% CI 0.64-0.96) were the protective factors of PPD. The experience risk of PPD was higher among mothers who did not work or use internet. CONCLUSION The PPD level in Yunnan Province was significantly higher than the global and Chinese average levels. Factors affecting mothers' PPD exist in all time stages throughout pregnancy, and the influence of family support and social support on PPD shouldn't be ignored. There is an urgent need to extend the time chain of PPD, move its prevention and treatment forward and broaden the dimensions of its intervention.
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Affiliation(s)
- Yiyun Zhang
- School of Ethnology and Sociology, Yunnan University, Kunming, 650091, Yunnan, China
| | - Xinwei Liu
- Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China
| | - Mengmei Liu
- School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China
| | - Min Li
- School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China
| | - Ping Chen
- School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China
| | - Guanghong Yan
- School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China
| | - Qingyan Ma
- School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China
| | - Ye Li
- School of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
| | - Dingyun You
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, Kunming, 650500, Yunnan, China.
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Fang L, Ye S, Sun G, Liu L, Xie S, Hu Y, Yang Y, Fang M, Hu Z. Husband-wife Relationship, Neonatal Health, Breast Milk Volume and Postpartum Depression: A Prospective Cohort Study. PSYCHOL HEALTH MED 2023; 28:2462-2473. [PMID: 37126569 DOI: 10.1080/13548506.2023.2208366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 04/21/2023] [Indexed: 05/03/2023]
Abstract
Postpartum depression (PPD) is a major public health problem that has negative effects on mothers, infants, and society. This study was aimed at investigating the prevalence of PPD and elucidating the delivery factors implicated in PPD so as take more targeted measures for reducing the potential risk factors. A prospective cohort study was conducted. Following the criterion, 151 pregnant women were included in the study. The Edinburgh Postpartum Depression Scale (EPDS) and the general questionnaire were filled out 2-3 days after delivery. At weeks 2 and 6 postpartum, the EPDS was reassessed either online or via telephone. Also, electronic medical records based on relevant information during the delivery period were collected. Statistical significance was defined as p < 0.05. A high rate of PPD (31.13%) was reported. Univariate correlation analysis showed statistically significant differences in the husband-wife relationship (χ2 = 18.497, p < 0.001), neonatal health (χ2 = 14.710, p < 0.001), and breast milk volume (χ2 = 5.712, p = 0.017) between PPD and normal control groups. Adjusting for other covariates, multivariate logistic regression analysis showed that satisfactory conjugal relation could reduce the risk of PPD (OR, 0.053; p = 0.022); Neonatal health problems significantly increase the risk of PPD (OR, 6.497; p = 0.001); Adequate breast milk could alleviate the risk of PPD (OR, 0.351; P = 0.045). Data analysis suggests that marital discord and unhealthy new-born are independent risk factors; nevertheless, sufficient breast milk is a protective factor against PPD. Healthcare workers such as hospital and community doctors and social workers should pay attention to PPD. Furthermore, perinatal emotional support, health education, and EPDS assessment need to be incorporated into maternity care. Screening and personalized psychological counselling should be carried out for high-risk pregnant women with PPD.
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Affiliation(s)
- Li Fang
- Department of Obstetrics and Gynecology, Zhejiang University of Traditional Chinese Medicine Affiliated Integrated Chinese and Western Medicine Hospital, Hangzhou, China
| | - Shan Ye
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Guoquan Sun
- Department of Obstetrics and Gynecology, Zhejiang University of Traditional Chinese Medicine Affiliated Integrated Chinese and Western Medicine Hospital, Hangzhou, China
| | - Ling Liu
- Department of Obstetrics and Gynecology, Zhejiang University of Traditional Chinese Medicine Affiliated Integrated Chinese and Western Medicine Hospital, Hangzhou, China
| | - Shiyi Xie
- Department of Obstetrics and Gynecology, First people's Hospital of Linping District, Hangzhou, China
| | - Yan Hu
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Yang Yang
- School of Medicine, The Chinese University of HongKong, Shenzhen, China
| | - Marong Fang
- Institute of Neuroscience, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhiying Hu
- Department of Obstetrics and Gynecology, Zhejiang University of Traditional Chinese Medicine Affiliated Integrated Chinese and Western Medicine Hospital, Hangzhou, China
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Wu Y, Ye R, Wang Q, Sun C, Ji Y, Zhou H, Chang W. Association of COVID-19 Lockdown during the Perinatal Period with Postpartum Depression: Evidence from Rural Areas of Western China. HEALTH COMMUNICATION 2022; 37:1488-1495. [PMID: 35172658 DOI: 10.1080/10410236.2022.2036425] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
COVID-19 lockdown has posed unique challenges to postpartum women, but its association with postpartum depression is not well understood in the Global South. This study aims to evaluate the association between COVID-19 lockdown and postpartum depression in rural areas of western China. A multi-stage random cluster sampling method was used to select a cohort of pregnant and postpartum women with infants aged 0-6 months. We conducted an in-person survey before the COVID-19 lockdown and a phone survey right after the lockdown ended. We used multivariate regression models to evaluate the association between lockdown and postpartum depression. Subgroup analysis was performed to explore the role of social support. The overall prevalence of postpartum depression was 13.3%. Postpartum women who experienced the lockdown were less likely to be depressed than those who did not (adjusted odds ratio (aOR) = .43, 95% confidence interval (CI) = [.27, .70]). Lockdown was negatively associated with postpartum depression among postpartum women with low level of social support (aOR = .30, 95% CI = [.18, .51]). COVID-19 lockdown was associated with lower likelihood of postpartum depression, potentially due to increased support from family. Future research is needed to explore targeted interventions to prevent postpartum depression among women from migrant worker families in rural China.
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Affiliation(s)
- Yuju Wu
- West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Ruixue Ye
- West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Qinagzhi Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Chang Sun
- West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Yadong Ji
- Communication Studies, North Central College
| | - Huan Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Wei Chang
- Harvard Chan School of Public Health, Harvard University
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Zakeri MA, Khoram S, Bazmandegan G, Ghaedi-Heidari F, Talebi B, Ramezani N, Ahmadi F, Kamiab Z, Dehghan M. Postpartum depression and its correlates: a cross-sectional study in southeast Iran. BMC Womens Health 2022; 22:387. [PMID: 36138378 PMCID: PMC9494808 DOI: 10.1186/s12905-022-01978-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/15/2022] [Indexed: 11/30/2022] Open
Abstract
Background Postpartum depression has a negative impact on both infants and women. This study aimed to determine the correlates of postpartum depression in women in southern Iran.
Methods This cross-sectional study was performed on 186 mothers who had recently given birth to a baby. Data were collected using the demographic form, Quality of Prenatal Care Questionnaire, Edinburgh Postnatal Depression Scale (EPDS), Depression, Anxiety and Stress Scale—21 items (DASS-21) 3 days after delivery and EPDS and DASS-21 6 months after childbirth. Results Postpartum depression (PPD) was 24.2% and 3.2% 3 days and 6 months after delivery, respectively. Anxiety, Prenatal Care Quality and educational level predicted 34.0% of the variance of PPD 3 days after delivery (R2 = 34.0%). Anxiety, type of delivery, and stress predicted 24% of the variance of PPD 6 months after delivery (R2 = 24.0%).
Conclusions With an increase in stress and anxiety and a reduction in the quality of prenatal care, the risk of postpartum depression increases. Therefore, attention to the quality of prenatal care and postpartum stress and anxiety should be carefully evaluated to prevent PPD. Psychological support and interventions are recommended to promote the mental health of women before and after childbirth.
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