scholarly journals Mapping global prevalence of depression among postpartum women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ziyi Wang ◽  
Jiaye Liu ◽  
Huan Shuai ◽  
Zhongxiang Cai ◽  
Xia Fu ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Postpartum Depression ◽  
Life Stress ◽  
Primary Care Providers ◽  
Developed Countries ◽  
Care Providers ◽  
Comprehensive Overview ◽  
Global Epidemiology ◽  
Meta Regression ◽  
Meta Regression Analysis

AbstractPostpartum depression (PPD) is the most common psychological condition following childbirth, and may have a detrimental effect on the social and cognitive health of spouses, infants, and children. The aim of this study was to complete a comprehensive overview of the current literature on the global epidemiology of PPD. A total of 565 studies from 80 different countries or regions were included in the final analysis. Postpartum depression was found in 17.22% (95% CI 16.00–18.51) of the world’s population. Meta-regression analysis showed that study size, country or region development, and country or region income were the causes of heterogeneity. Multivariable meta-regression analysis found that study size and country or area development were the most important predictors. Varied prevalence rates were noted in geographic regions with the highest rate found in Southern Africa (39.96%). Of interested was a significantly lower rate of PPD in developed countries or high-income countries or areas. Furthermore, the findings showed that there was a substantial difference in rates of PPD when marital status, educational level, social support, spouse care, violence, gestational age, breast feeding, child mortality, pregnancy plan, financial difficulties, partnership, life stress, smoking, alcohol intake, and living conditions were considered in the pooled estimates. Our results indicated that one out of every five women experiences PPD which is linked to income and geographic development. It is triggered by a variety of causes that necessitate the attention and committed intervention of primary care providers, clinicians, health authorities, and the general population.

scholarly journals Association between Exercise-Induced Changes in Cardiorespiratory Fitness and Adiposity among Overweight and Obese Youth: A Meta-Analysis and Meta-Regression Analysis

Children ◽  
2020 ◽  
Vol 7 (9) ◽  
pp. 147
Author(s):  
Antonio García-Hermoso ◽  
Mikel Izquierdo ◽  
Alicia M. Alonso-Martínez ◽  
Avery Faigenbaum ◽  
Jordi Olloquequi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Confidence Interval ◽  
Cardiorespiratory Fitness ◽  
Body Fat ◽  
Health Care Providers ◽  
Percent Body Fat ◽  
Care Providers ◽  
Obese Youth ◽  
Meta Regression ◽  
Meta Regression Analysis

The aim of this study was to determine the minimum change in cardiorespiratory fitness (CRF) required to reduce adiposity (percent body fat) in exercise programs for overweight and obese youth. Studies were identified through a systematic search of five databases. Studies were limited to randomized controlled trials (RCTs) of exercise training (e.g., aerobic, strength, concurrent) that assessed percent body fat and CRF for both exercise and control groups in overweight and obese children and adolescents. A series of meta-regressions were conducted to explore links between change in CRF (maximum oxygen consumption, ml/kg/min) and change in percent body fat. Twenty-three RCTs were included (n = 1790, 59% females). Meta-regression analysis suggested that increases of at least 0.38 mL/kg/min in CRF (p < 0.001) were considered to be a clinically important reduction of percent body fat (−2.30%, 95% confidence interval −3.02 to −1.58; p < 0.001; I2 = 92.2%). Subgroup analysis showed that increases of at least 0.17 mL/kg/min in CRF favored a reduction of percent body fat of −1.62% (95% confidence interval −2.04 to −1.20; p < 0.001; I2 = 69.9%). In conclusion, this change in CRF could be considered by pediatric researchers, youth fitness specialists, and health care providers to determine the effectiveness in body fat reductions through exercise.

The global epidemiology of anabolic-androgenic steroid use: a meta-analysis and meta-regression analysis

2014 ◽  
Vol 24 (5) ◽  
pp. 383-398 ◽  
Author(s):  
Dominic Sagoe ◽  
Helge Molde ◽  
Cecilie S. Andreassen ◽  
Torbjørn Torsheim ◽  
Ståle Pallesen
Keyword(s):  
Regression Analysis ◽  
Meta Analysis ◽  
Anabolic Androgenic Steroid ◽  
Steroid Use ◽  
Androgenic Steroid ◽  
Global Epidemiology ◽  
Meta Regression ◽  
Meta Regression Analysis

scholarly journals Meta-regression Analysis of Technical (In)Efficiency in Agriculture: a Regional Approach

2021 ◽  
Vol 17 (3) ◽  
pp. 917-928
Author(s):  
Micael Queiroga dos Santos ◽  
Ana Alexandra Marta-Costa ◽  
Xosé Antón Rodríguez
Keyword(s):  
Regression Analysis ◽  
Low Income ◽  
Developed Countries ◽  
Productive Efficiency ◽  
Low Income Countries ◽  
Future Research ◽  
Technical Inefficiency ◽  
The Mean ◽  
Meta Regression ◽  
Meta Regression Analysis

While scientific studies have not reached a consensus on the methodology for examining Technical Efficiency (or Inefficiency), the influence of regions appears to be important for efficiency scores. Therefore, this research aims to investigate the empirical procedures for the achievement of more robust results in the analysis of productive efficiency, as well as to evaluate the effect of the location of farms on such efficiency. The goal was to check whether the most developed regions are the most efficient. Meta-regression analysis provides an adequate method for an accurate assessment of both situations. This technique was applied based on a database of 166 observations on the agricultural sector from countries around the world, published in the period 2010–2017. The criteria used for the database collection and for the conceived model were not previously used and, thereby, enrich the discussion on the topic. The procedure aims to check the variation in the Mean of Technical Inefficiency and conduct an analysis using Quasi-Maximum Likelihood Estimation. The regressions showed that the Mean of Technical Inefficiency could be mainly explained by data, variables, employed empirical models and the region of study. The studies that focus on farms of developed countries present the lowest Mean of Technical Inefficiency, while studies for developing or low-income countries exhibit the opposite. Therefore, for future research on productive analysis, we suggest empirical procedures aimed at achieving robust results that take into account specific regional characteristics of farms.

Carbon Tariffs’ Impacts on China’s Economy and Carbon Emission: A Study Based on META-Regression Analysis

2019 ◽  
Vol 07 (03) ◽  
pp. 1950012
Author(s):  
Ying ZHANG ◽  
Wenmei KANG ◽  
Mou WANG ◽  
Li ZHUANG
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Regression Analysis ◽  
Carbon Emissions ◽  
Developed Countries ◽  
Export Trade ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
China’S Economy ◽  
Carbon Tariff

During the implementation of the measures for reducing carbon emissions, to protect the international competitiveness of their carbon-intensive products, some developed countries in the name of preventing carbon leakage have deliberately avoided the principle of “common but differentiated responsibilities (CBDR)” prescribed in the United Nations Framework Convention on Climate Change and worked actively to propose the collection of carbon tariffs to make developing countries share the responsibilities of reducing global emissions. The existing studies tend to confirm that carbon tariffs, once put into practice, will directly affect the export trade of developing countries represented by China, and particularly exert a significant negative impact on the export trade of those countries’ carbon-intensive industries. This paper used META-regression analysis to summarize and quantitatively analyze the results of an empirical research that uses computable general equilibrium (CGE) models to research on the impacts brought by carbon tariff policy to China’s economy and carbon emissions, finding that the sample characteristics, model specification and the assumption about carbon tariff rates in the research exert direct impacts on the final conclusions of empirical stimulation. Although carbon tariffs are still in the proposal stage, due to the vaccum of international governace in this area, the developed countries have a room to carry out the policies related to carbon tariffs or invisible carbon tariffs. Studies show that carbon tariff policy will deal a blow to China’s export trade and further undermine China’s overall economic output and welfare level, while producing very limited effects on carbon emissions reduction. Therefore, the Chinese Government should stick to its basic position as resolving carbon tariffs-related issues under the United Nations Framework Convention on Climate Change, actively promote relevant international governance mechanisms, formulate targeted countermeasures, improve the export structure of industrial products, optimize industrial structure and also stay alert to some developed countries’ attempt to avoid the disputes over carbon tariffs and use some invisible carbon tariffs to set up new trade barriers.

scholarly journals Government education expenditures and economic growth: a meta-analysis

2017 ◽  
Vol 17 (2) ◽  
Author(s):  
Sefa Awaworyi Churchill ◽  
Mehmet Ugur ◽  
Siew Ling Yew
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Meta Analysis ◽  
Government Expenditure ◽  
Developed Countries ◽  
Education Expenditure ◽  
Empirical Results ◽  
Government Education ◽  
Meta Regression ◽  
Meta Regression Analysis

AbstractUsing a sample of 237 estimates drawn from 29 primary studies, we conduct a hierarchical meta-regression analysis that examines the association between economic growth and government expenditure on education. We find that the effect of government education expenditure on growth is positive for developed countries. However, when the evidence pertains to less developed countries (LDCs), we find a statistically insignificant association. We also examine the heterogeneity in empirical results and found that factors such as econometric specifications, publication characteristics as well as data characteristics explain the heterogeneity in the literature. We find no evidence of publication selectivity.

scholarly journals The Elasticity of Taxable Income: A Meta-Regression Analysis*

2021 ◽  
Author(s):  
Carina Neisser
Keyword(s):  
Regression Analysis ◽  
Policy Analysis ◽  
Selective Reporting ◽  
Tax Base ◽  
Taxable Income ◽  
Income Elasticities ◽  
Elasticity Of Taxable Income ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Key Parameter

Abstract The elasticity of taxable income (ETI) is a key parameter in tax policy analysis. To examine the large variation found in the literature of taxable and broad income elasticities, I conduct a comprehensive meta-regression analysis using information from 61 studies containing 1,720 estimates. My findings reveal that estimated elasticities are not immutable parameters. They are correlated with contextual factors and the choice of the empirical specification influences the estimated elasticities. Finally, selective reporting bias is prevalent, and the direction of bias depends on whether deductions are included in the tax base.

Sign in / Sign up

Export Citation Format

Share Document