scholarly journals Psychosocial risk factors for postpartum depression in Chinese women: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weijing Qi ◽  
Fuqing Zhao ◽  
Yutong Liu ◽  
Qing Li ◽  
Jie Hu

AbstractBackgroundPostpartum depression (PPD) has been identified as a recognized public health problem that may adversely affect mothers, infants, and family units. Recent studies have identified risk factors for PPD in Westerners; however, societal and cultural differences between China and the West could, potentially, lead to differences in risk factors for PPD. No comprehensive study has been conducted to collect all the evidence to provide estimates of psychological and social risk factors in China. Therefore, this study aimed to quantitatively assess all studies meeting the review’s eligibility criteria and identify the psychological and social risk factors for PPD in Chinese women.MethodsThe following databases were used in the literature search from their inception until December 2020: PubMed, Embase, Foreign Medical Literature Retrieval Service (FMRS), China Science and Technology Journal Database (VIP), China National Knowledge Infrastructure (CNKI), and China Biology Medicine disc (CBM). The quality was assessed through Newcastle-Ottawa quality assessment scale. The I2statistic was used to quantify heterogeneity. We extracted data for meta-analysis and generated pooled-effect estimates from a fixed-effects model. Pooled estimates from a random-effects model were also generated if significant heterogeneity was present. Funnel plot asymmetry tests were used to check for publication bias. Statistical analysis was conducted using Review Manager version 5.3 software.ResultsFrom a total of 1175 identified studies, 51 were included in the analysis. Prenatal depression (OR 7.70; 95% CI 6.02–9.83) and prenatal anxiety (OR 7.07; 95% CI 4.12–12.13) were major risk factors for PPD. A poor economic foundation (OR 3.67; 95% CI 3.07–4.37) and a poor relationship between husband and wife (OR 3.56; 95% CI 2.95–4.28) were moderate risk factors. Minor risk factors included a poor relationship between mother-in-law and daughter-in-law (OR 2.89; 95% CI 2.12–3.95), a lack of social support (OR 2.57; 95% CI 2.32–2.85), unplanned pregnancy (OR 2.55; 95% CI 2.08–3.14), and poor living conditions (OR 2.44; 95% CI 1.92–3.10), mother-in-law as the caregiver (1.95; 95% CI 1.54–2.48) .ConclusionsThis study demonstrated a number of psychological and social risk factors for PPD in Chinese women. The major and moderate risk factors are prenatal depression, prenatal anxiety, a poor economic foundation, and a poor relationship between husband and wife. These findings have potential implications for informing preventive efforts and modifying screening to target at-risk populations.

2020 ◽  
Author(s):  
Qi Weijing ◽  
Zhao Fuqing ◽  
Liu Yutong ◽  
LI Qing ◽  
Hu Jie

Abstract Background: Postpartum depression (PPD) has been identified as a recognized public health problem that may adversely affect mothers, infants, and family units. Recent research has identified risk factors for this disease in Westerners; however, a comprehensive study has yet to pool all evidence to provide estimates of psychological and social risk factors in China. Therefore, this study aimed to quantitatively assess all qualified studies and identify the psychological and social risk factors for postpartum depression in Chinese women.Methods: The following databases were used in the literature search from their inception until June 2019: PubMed, Embase, FMRS, China Science and Technology Journal Database (VIP), China National Knowledge Infrastructure (CNKI), and China Biology Medicine disc (CBM). Meta-analysis was conducted by RevMan software. Study heterogeneity and publication bias were estimated.Results: From a total of 887 identified studies, 48 were included in the analysis. Prenatal depression (OR 7.70; 95% CI 6.02-9.83) and prenatal anxiety (OR 7.07; 95% CI 4.12-12.13) were major risk factors for PPD. A poor economic foundation (OR 3.50; 95% CI 2.92-4.20) and a poor relationship between husband and wife (OR 3.42; 95% CI 2.82-4.13) were moderate risk factors. Minor risk factors included a poor relationship between mother-in-law and daughter-in-law (OR 2.89; 95% CI 2.12-3.95), a lack of social support (OR 2.57; 95% CI 2.32-2.85), unplanned pregnancy (OR 2.55; 95% CI 2.08-3.14), mother-in-law as the caregiver (OR 2.5; 95% CI 1.67-3.74) and poor living conditions (OR 2.44; 95% CI 1.92-3.10).Conclusions: This study demonstrated a number of psychological and social risk factors for postpartum depression in Chinese women. The major and moderate risk factors are prenatal depression, prenatal anxiety, a poor economic foundation and a poor relationship between husband and wife. These findings suggest that prenatal prevention aimed at these risk factors is important due to the presence of many of these factors during the prenatal period.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0244346
Author(s):  
Svenn-Erik Mamelund ◽  
Clare Shelley-Egan ◽  
Ole Rogeberg

Background The objective of this study is to document whether and to what extent there is an association between socioeconomic status (SES) and disease outcomes in the last five influenza pandemics. Methods/principle findings The review included studies published in English, Danish, Norwegian and Swedish. Records were identified through systematic literature searches in six databases. We summarized results narratively and through meta-analytic strategies. Only studies for the 1918 and 2009 pandemics were identified. Of 14 studies on the 2009 pandemic including data on both medical and social risk factors, after controlling for medical risk factors 8 demonstrated independent impact of SES. In the random effect analysis of 46 estimates from 35 studies we found a pooled mean odds ratio of 1.4 (95% CI: 1.2–1.7, p < 0.001), comparing the lowest to the highest SES, but with substantial effect heterogeneity across studies,–reflecting differences in outcome measures and definitions of case and control samples. Analyses by pandemic period (1918 or 2009) and by level of SES measure (individual or ecological) indicated no differences along these dimensions. Studies using healthy controls tended to document that low SES was associated with worse influenza outcome, and studies using infected controls find low SES associated with more severe outcomes. A few studies compared severe outcomes (ICU or death) to hospital admissions but these did not find significant SES associations in any direction. Studies with more unusual comparisons (e.g., pandemic vs seasonal influenza, seasonal influenza vs other patient groups) reported no or negative non-significant associations. Conclusions/significance We found that SES was significantly associated with pandemic influenza outcomes with people of lower SES having the highest disease burden in both 1918 and 2009. To prepare for future pandemics, we must consider social vulnerability. The protocol for this study has been registered in PROSPERO (ref. no 87922) and has been published Mamelund et al. (2019).


2013 ◽  
Vol 28 (3) ◽  
pp. 359-380 ◽  
Author(s):  
Lois James ◽  
David Brody ◽  
Zachary Hamilton

This article presents the results of a meta-analysis of the existing research literature, in an effort to increase our understanding of the prevalence of domestic violence (DV) among pregnant women, and of risk factors associated with DV during pregnancy. Across 92 independent studies, the average reported prevalence of emotional abuse was 28.4%, physical abuse was 13.8%, and sexual abuse was 8.0%. Composite odds ratio effect sizes were calculated for the demographic, behavioral, and social risk factors identified by 55 independent studies. Both victimization and perpetration risk factors were analyzed. Abuse before pregnancy and lower education level were found to be strong predictors of abuse during pregnancy. Pregnancy being unintended by either the victim or the perpetrator, lower socioeconomic status, and being unmarried were found to be moderate predictors of abuse during pregnancy.


Author(s):  
John F. Steiner ◽  
Glenn K. Goodrich ◽  
Kelly R. Moore ◽  
Spero M. Manson ◽  
Laura M. Gottlieb ◽  
...  

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