Socioeconomic And Maternal Determinants Of Infant Mortality: An Analysis Using The Swaziland Demographic Health Survey 2007

10.5580/2b4a ◽  
2012 ◽  
Vol 10 (2) ◽  
Keyword(s):  
Infant Mortality ◽  
Health Survey ◽  
Demographic Health Survey ◽  
Maternal Determinants

scholarly journals The socio-economic determinants of infant mortality in Nepal: analysis of Nepal Demographic Health Survey, 2011

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Khim Bahadur Khadka ◽  
Leslie Sue Lieberman ◽  
Vincentas Giedraitis ◽  
Laxmi Bhatta ◽  
Ganesh Pandey
Keyword(s):  
Infant Mortality ◽  
Health Survey ◽  
Demographic Health Survey ◽  
Economic Determinants

scholarly journals Predictors of iron consumption for at least 90 days during pregnancy: Findings from National Demographic Health Survey, Pakistan (2017–2018)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sumera Aziz Ali ◽  
Savera Aziz Ali ◽  
Shama Razzaq ◽  
Nayab Khowaja ◽  
Sarah Gutkind ◽  
...  
Keyword(s):  
Health Survey ◽  
Rural Areas ◽  
Iron Supplementation ◽  
Wealth Index ◽  
Prevalence Ratio ◽  
Deficiency Anemia ◽  
Multivariable Logistic Regression Analysis ◽  
Demographic Health Survey ◽  
Sampling Weights ◽  
The Government

Abstract Background Iron supplementation is considered an imperative strategy for anemia prevention and control during pregnancy in Pakistan. Although there is some evidence on the predictors of iron deficiency anemia among Pakistani women, there is a very limited understanding of factors associated with iron consumption among Pakistani pregnant women. Thus, this study aimed to investigate the predictors of iron consumption for at least ≥90 days during pregnancy in Pakistan. Methods We analyzed dataset from the nationally representative Pakistan Demographic Health Survey 2017–2018. The primary outcome of the current study was the consumption of iron supplementation for ≥90 days during the pregnancy of the last birth. Women who had last childbirth 5 years before the survey and who responded to the question of iron intake were included in the final analysis (n = 6370). We analyzed the data that accounted for complex sampling design by including clusters, strata, and sampling weights. Results Around 30% of the women reported consumed iron tablets for ≥90 days during their last pregnancy. In the multivariable logistic regression analysis, we found that factors such as women’s age (≥ 25 years) (adjusted prevalence ratio (aPR) = 1.52; 95% CI: 1.42–1.62)], wealth index (rich/richest) (aPR = 1.25; [95% CI: 1.18–1.33]), primary education (aPR = 1.33; [95% CI: 1.24–1.43), secondary education (aPR = 1.34; [95% CI: 1.26–1.43), higher education (aPR = 2.13; [95% CI: 1.97–2.30), women’s say in choosing husband (aPR = 1.68; [95% CI: 1.57–1.80]), ≥ five antenatal care visits (aPR =2.65; [95% CI (2.43–2.89]), history of the last Caesarian-section (aPR = 1.29; [95% CI: 1.23–1.36]) were significantly associated with iron consumption for ≥90 days. Conclusion These findings demonstrate complex predictors of iron consumption during pregnancy in Pakistan. There is a need to increase the number of ANC visits and the government should take necessary steps to improve access to iron supplements by targeting disadvantaged and vulnerable women who are younger, less educated, poor, and living in rural areas.

scholarly journals Spatial distribution and predictors of domestic violence against women: evidence from analysis of Ethiopian demographic health survey 2016

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Elias Seid ◽  
Tesfahun Melese ◽  
Kassahun Alemu
Keyword(s):  
Domestic Violence ◽  
Spatial Distribution ◽  
Regression Analysis ◽  
Violence Against Women ◽  
Health Survey ◽  
Spatial Clustering ◽  
Wife Beating ◽  
Moran’S I ◽  
Demographic Health Survey ◽  
Moran's I

Abstract Background Violence against women particularly that is committed by an intimate partner is becoming a social and public health problem across the world. Studies show that the spatial variation in the distribution of domestic violence was commonly attributed to neighborhood-level predictors. Despite the prominent benefits of spatial techniques, research findings are limited. Therefore, the current study intends to determine the spatial distribution and predictors of domestic violence among women aged 15–49 in Ethiopia. Methods Data from the Ethiopian demographic health survey 2016 were used to determine the spatial distribution of domestic violence in Ethiopia. Spatial auto-correlation statistics (both Global and Local Moran’s I) were used to assess the spatial distribution of domestic violence cases in Ethiopia. Spatial locations of significant clusters were identified by using Kuldorff’s Sat Scan version 9.4 software. Finally, binary logistic regression and a generalized linear mixed model were fitted to identify predictors of domestic violence. Result The study found that spatial clustering of domestic violence cases in Ethiopia with Moran’s I value of 0.26, Z score of 8.26, and P value < 0.01. The Sat Scan analysis identifies the primary most likely cluster in Oromia, SNNP regions, and secondary cluster in the Amhara region. The output from regression analysis identifies low economic status, partner alcohol use, witnessing family violence, marital controlling behaviors, and community acceptance of wife-beating as significant predictors of domestic violence. Conclusion There is spatial clustering of IPV cases in Ethiopia. The output from regression analysis shows that individual, relationship, and community-level predictors were strongly associated with IPV. Based upon our findings, we give the following recommendation: The government should give prior concern for controlling factors such as high alcohol consumption, improper parenting, and community norm that encourage IPV that were responsible for IPV in the identified hot spot areas.

Log-Logistic Proportional Odds Model for Analyzing Infant Mortality in Bangladesh

2016 ◽  
Vol 29 (1) ◽  
pp. 60-69
Author(s):  
Most. Fatima-Tuz-Zahura ◽  
Khandoker Akib Mohammad ◽  
Wasimul Bari
Keyword(s):  
Infant Mortality ◽  
Regression Model ◽  
Health Survey ◽  
Maternal Education ◽  
Proportional Odds Model ◽  
Demographic And Health Survey ◽  
Place Of Delivery ◽  
Product Limit ◽  
Parametric Survival ◽  
Relevant Covariates

Log-logistic parametric survival regression model has been used to find out the potential determinants of infant mortality in Bangladesh using the data extracted from Bangladesh Demographic and Health Survey, 2011. First, nonparametric product-limit approach has been used to examine the unadjusted association between infant mortality and covariate of interest. It is found that maternal education, membership of nongovernmental organizations, age of mother at birth, sex of child, size of child at birth, and place of delivery play an important role in reducing the infant mortality, adjusting relevant covariates.

scholarly journals Prevalence and factors associated with antenatal care utilization in Ethiopia: an evidence from demographic health survey 2016

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Berhan Tsegaye ◽  
Mohammed Ayalew
Keyword(s):  
Data Analysis ◽  
Antenatal Care ◽  
Health Survey ◽  
Wealth Quintile ◽  
Educational Status ◽  
Care Utilization ◽  
Demographic Health Survey ◽  
Factors Associated ◽  
Antenatal Care Utilization ◽  
Maternal Educational Status

Abstract Background Ethiopia is one of the sub-Saharan African country with high maternal mortality ratio (MMR). According to Ethiopian demographic health survey (EDHS) 2016 report, MMR is 420 among 100,000 live births. Antenatal care utilization is a key intervention to reduce these deaths through problem detection and treatment, promotion of health seeking behavior, and preparing pregnant women for birth. Therefore, this study aimed to assess prevalence and factors associated with antenatal care service utilization in Ethiopia in 2016. Methods Secondary data analysis was done on EDHS 2016. It was a stratified, two-stage, and cluster sampling design. Analysis has been restricted to antenatal care utilization among women who delivered at least one time in the past five years. Data were weighted to correct sampling bias. Moreover, complex data analysis was done. Bi-variate and multivariable logistic regression analyses were carried out. Adjusted odds ratio with 95% confidence interval was computed and P-value less than 0.05 considered as a statistically significance level for identification of association. Results Prevalence of antenatal care utilization was 62.8% [95%CI: 60.9, 64.6] in this study. Maternal educational status of primary school (AOR = 1.8,95%CI:1.2, 2.6), maternal educational status of secondary school (AOR = 4.4,95%CI: 1.1, 17.3), women who listen radio less than 1 per week (AOR = 1.9,95%CI:1.12,3.34), women who listen radio at least 1 per week (AOR = 2.6,95%CI:1.4,4.8), women in rich wealth quintile (AOR = 1.9,95%CI: 1.1, 3.2) were factors positively associated with antenatal care utilization. However, women who had traditional belief (AOR = 0.1,95%CI:0.02,0.49), and women who had five children and above (AOR = 0.6,95%CI: 0.3, 0.9) were factors associated negatively with antenatal care utilization. Conclusions Prevalence of antenatal care utilization is still low in Ethiopia in 2016. Maternal higher maternal educational status, frequent radio listening, higher wealth quintile, traditional belief, and greater number of children were found to be associated significantly with antenatal care utilization. Consequently, socio-economic status should be enhanced, information should be accessed by women about antenatal care utilization and family planning service through mass media. Furthermore, intensive community education program should be designed for traditional believers to increase uptake of antenatal care by stakeholders.

scholarly journals Determinants of road traffic injuries in Iranian children; results from a National Representative Demographic- Health Survey 2010

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Hesam Ghiasvand ◽  
Payam Roshanfekr ◽  
Delaram Ali ◽  
Hossein Malekafzali Ardakani ◽  
Amanda N. Stephens ◽  
...  
Keyword(s):  
Health Survey ◽  
Road Traffic ◽  
Demographic Health Survey ◽  
Road Traffic Injuries ◽  
Iranian Children
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