scholarly journals The association between socioeconomic status and pandemic influenza: Systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0244346
Author(s):  
Svenn-Erik Mamelund ◽  
Clare Shelley-Egan ◽  
Ole Rogeberg
Keyword(s):  
Risk Factors ◽  
Socioeconomic Status ◽  
Pandemic Influenza ◽  
Seasonal Influenza ◽  
Hospital Admissions ◽  
Meta Analysis ◽  
Random Effect ◽  
Low Ses ◽  
Social Risk ◽  
Social Risk Factors

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).

scholarly journals The association between socioeconomic status and pandemic influenza: systematic review and meta-analysis

2020 ◽  
Author(s):  
Svenn-Erik Mamelund ◽  
Clare Shelley-Egan ◽  
Ole Rogeberg
Keyword(s):  
Risk Factors ◽  
Socioeconomic Status ◽  
Seasonal Influenza ◽  
Hospital Admissions ◽  
Association Studies ◽  
Low Ses ◽  
Social Risk ◽  
Social Risk Factors ◽  
Medical Risk ◽  
Medical Risk Factors

AbstractBackgroundThe objective was to document whether and to what extent there was an association between socioeconomic status (SES) and disease outcomes in the last five influenza pandemics.Methods/Principle FindingsThe review included studies published in English, Danish, Norwegian and Swedish. Records were identified through systematic literature searches in six databases. Results are summarized narratively and using meta-analytic strategies. We found studies only for the 1918 and 2009 pandemics. 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. A random effect analysis of 46 estimates from 35 studies found a pooled mean odds ratio of 1.4 (95% CI: 1.2 – 1.7), 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) indicate no differences along these dimensions. Studies using healthy controls tend to find low SES associated with worse influenza outcome, and studies using infected controls find low SES associated with more severe outcomes. Studies comparing severe outcomes (ICU or death) to hospital admissions are few but indicate no clear association. Studies with more unusual comparisons (e.g., pandemic vs seasonal influenza, seasonal influenza vs other patient groups) report no or negative associations.Conclusions/SignificanceResults show that social risk factors help to explain pandemic outcomes in 1918 and in 2009 although the mechanisms and types of social vulnerabilities leading to disparities in outcomes may differ over time. Studies of the 2009 pandemic also showed that social vulnerability could not always be explained by medical risk factors. To prepare for future pandemics, we must consider social along with medical vulnerability.The protocol for this study has been registered in PROSPERO (ref. no 87922) and has been published (1).

scholarly journals Traumatic Events, Social Adversity and Discrimination as Risk Factors for Psychosis - An Umbrella Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Leonie Varchmin ◽  
Christiane Montag ◽  
Yvonne Treusch ◽  
Jakob Kaminski ◽  
Andreas Heinz
Keyword(s):  
Risk Factors ◽  
Childhood Trauma ◽  
Random Effect ◽  
Random Effect Model ◽  
Adult Life ◽  
Social Risk ◽  
Social Risk Factors ◽  
Umbrella Review ◽  
Social Adversity ◽  
Meta Analyses

Exposure to childhood trauma is a well-known risk factor for severe mental disorders including schizophrenia and other non-affective psychoses. Beyond childhood trauma, there is increasing evidence that bullying, social exclusion, and discrimination during adolescence and adulthood may increase the risk of developing a psychotic disorder, and that such forms of traumatization may also underlie the elevated psychosis risk among migrants or persons with a visible minority status. In this umbrella review, we systematically assess meta-analyses regarding trauma and social adversity. A systematic literature review yielded 11 meta-analyses that met inclusion criteria and could be summarized quantitatively with a random effect model. Furthermore, six meta-analyses were evaluated qualitatively. Heterogeneity and publication bias were apparent in several meta-analyses. We observed that most significant social risk factors for psychosis were vulnerability for racist discrimination [OR = 3.90 (3.25–4.70)], migration [OR = 2.22 (1.75–2.80)], and childhood adversities [OR = 2.81 (2.03–3.83)]. Furthermore, social factors increasing the risk for psychosis were variation/impairment of parental communication, aversive adult life events, bullying, and factors associated with social isolation and discrimination. In spite of these environmental risk factors, there is a lack of evidence regarding treatment of trauma and psychosis, although some psychotherapeutic and art therapy approaches appear to be promising. Beyond individual interventions, stigmatization, racism, and other forms of discrimination need to be targeted to increase solidarity and communal support.

scholarly journals Social isolation and loneliness as risk factors for hospital admissions for respiratory disease among older adults

Thorax ◽  
2020 ◽  
Vol 75 (7) ◽  
pp. 597-599 ◽  
Author(s):  
Feifei Bu ◽  
Keir Philip ◽  
Daisy Fancourt
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Respiratory Disease ◽  
Hospital Admissions ◽  
Social Contact ◽  
Living Alone ◽  
Social Risk ◽  
Social Risk Factors ◽  
Increased Risk

Rising hospital admissions due to respiratory disease (RD) are a major challenge to hospitals. This study explored modifiable social risk factors among 4478 older adults from the English Longitudinal Study of Ageing. Data were linked with administrative hospital records and mortality registry data (follow-up 9.6 years) and analysed using survival analysis accounting for competing risks. Living alone and social disengagement but not social contact or loneliness were associated with an increased risk of RD admissions, independent of socio-demographic, health and behaviour factors. Providing support for disengaged adults living alone who are at risk of RD admissions should be explored.

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
Keyword(s):  
Risk Factors ◽  
Postpartum Depression ◽  
Chinese Women ◽  
Meta Analysis ◽  
Prenatal Depression ◽  
Social Risk ◽  
Social Risk Factors ◽  
Moderate Risk ◽  
Economic Foundation ◽  
Poor Relationship

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.

scholarly journals Psychosocial Risk Factors for Postpartum Depression in Chinese Women: A Meta-Analysis

2020 ◽  
Author(s):  
Qi Weijing ◽  
Zhao Fuqing ◽  
Liu Yutong ◽  
LI Qing ◽  
Hu Jie
Keyword(s):  
Risk Factors ◽  
Postpartum Depression ◽  
Chinese Women ◽  
Meta Analysis ◽  
Prenatal Depression ◽  
Social Risk ◽  
Social Risk Factors ◽  
Moderate Risk ◽  
Economic Foundation ◽  
Poor Relationship

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.

Risk Factors for Domestic Violence During Pregnancy: A Meta-Analytic Review

2013 ◽  
Vol 28 (3) ◽  
pp. 359-380 ◽  
Author(s):  
Lois James ◽  
David Brody ◽  
Zachary Hamilton
Keyword(s):  
Risk Factors ◽  
Domestic Violence ◽  
Emotional Abuse ◽  
Meta Analysis ◽  
Research Literature ◽  
Social Risk ◽  
Social Risk Factors ◽  
Lower Education Level ◽  
Analytic Review ◽  
Abuse During Pregnancy

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.

scholarly journals Prevalence and risk factors for antibiotic utilization in Chinese children

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shasha Guo ◽  
Qiang Sun ◽  
Xinyang Zhao ◽  
Liyan Shen ◽  
Xuemei Zhen
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Healthcare Research ◽  
Chinese Children ◽  
Rural Setting ◽  
Antibiotic Prescribing ◽  
Antibiotic Utilization ◽  
At Home

Abstract Background Antibiotic resistance poses a significant threat to public health globally. Irrational utilization of antibiotics being one of the main reasons of antibiotic resistant. Children as a special group, there's more chance of getting infected. Although most of the infection is viral in etiology, antibiotics still are the most frequently prescribed medications for children. Therefore, high use of antibiotics among children raises concern about the appropriateness of antibiotic prescribing. This systematic review aims to measuring prevalence and risk factors for antibiotic utilization in children in China. Methods English and Chinese databases were searched to identify relevant studies evaluating the prevalence and risk factors for antibiotic utilization in Chinese children (0-18 years), which were published between 2010 and July 2020. A Meta-analysis of prevalence was performed using random effect model. The Agency for Healthcare Research and Quality (AHRQ) and modified Jadad score was used to assess risk of bias of studies. In addition, we explored the risk factors of antibiotic utilization in Chinese children using qualitative analysis. Results Of 10,075 studies identified, 98 eligible studies were included after excluded duplicated studies. A total of 79 studies reported prevalence and 42 studies reported risk factors for antibiotic utilization in children. The overall prevalence of antibiotic utilization among outpatients and inpatients were 63.8% (35 studies, 95% confidence interval (CI): 55.1-72.4%), and 81.3% (41 studies, 95% CI: 77.3-85.2%), respectively. In addition, the overall prevalence of caregiver’s self-medicating of antibiotics for children at home was 37.8% (4 studies, 95% CI: 7.9-67.6%). The high prevalence of antibiotics was associated with multiple factors, while lacking of skills and knowledge in both physicians and caregivers was the most recognized risk factor, caregivers put pressure on physicians to get antibiotics and self-medicating with antibiotics at home for children also were the main factors attributed to this issue. Conclusion The prevalence of antibiotic utilization in Chinese children is heavy both in hospitals and home. It is important for government to develop more effective strategies to improve the irrational use of antibiotic, especially in rural setting.

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