scholarly journals Socio-demographic determinants of neonatal mortality in Algeria according to MICS4 data (2012-2013)

2021 ◽  
Vol 21 (1) ◽  
pp. 357-61
Author(s):  
Adel Sidi-Yakhlef ◽  
Meryem Boukhelif ◽  
Amaria Aouar Metri
Keyword(s):  
Neonatal Mortality ◽  
Geographical Area ◽  
Public Health Problem ◽  
Wealth Index ◽  
Retrospective Case ◽  
Birth Rank ◽  
Multiple Indicator Cluster Survey ◽  
Risk Areas ◽  
Multiple Indicator ◽  
Mother’S Age

Background: Neonatal mortality remains a public health problem in developing countries, including Algeria. Information on this indicator makes it possible to assess government efforts to improve the living conditions of target populations. Objectives: This study aims to identify some determinants associated with this mortality from data of multiple indicator cluster survey conducted in Algeria in 2012-2013 (mics 4). Methods: A retrospective case-control study including 1047 cases and 1041 controls. From a logistic regression model, we appreciated the role of different factors, socio-demographic, economic and geographic (Mother's age, level of education, wealth index, area of residence) in newborn survival. Results: The main factors associated with neonatal mortality were rural residence (p<0.01; OR= 1.3 ; CI 1.08-1.54), South geographical area (p<0.05; OR=1.5 ; CI 1.18-1.84), low education level of mother (p<0.01; OR= 2.10 ; CI 1.35– 3.29), early age of maternal procreation (p<0.001; OR=4.34 ; CI 2.19– 14.40), the birth rank "7 and over" (<0.01; OR = 1.57; CI 1.13 – 2.44) and the two lowest wealth indices (p <0.001; OR = 2 ; 1.45- 2.62 and p <0.01; OR = 1.66; CI 1.23-2.26). Conclusion: In addition to the various reproductive health strategies already adopted by the authorities for health promo- tion and family planning, action should be taken to evaluate their implementation with sustained assistance for disadvantaged people and in risk areas. Keywords: Neonatal mortality; Algeria; MICS4 data (2012-2013).

ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

1970 ◽  
Vol 7 (2) ◽  
pp. 85-89
Author(s):  
Muhammad Irfan ◽  
Syed Mustansir Hussain Zaidi ◽  
Hira Fatima Waseem
Keyword(s):  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
Household Wealth ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Increased Risk ◽  
Multiple Indicator ◽  
Mother Education ◽  
Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

scholarly journals Bayesian Spatial Modeling of Anemia among children under 5 years in Guinea

2021 ◽  
Author(s):  
Thierno Souleymane Barry ◽  
Oscar Ngesa ◽  
Nelson Owuor Onyango ◽  
Henry Mwambi
Keyword(s):  
Public Health Problem ◽  
Major Public Health Problem ◽  
Older Children ◽  
Factors Associated ◽  
Control Programs ◽  
Number Of Children ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Household Heads ◽  
Children Under 5

Abstract Bacground: Anemia is a major public health problem in Africa with an increasing number of children under 5years getting infected. Guinea is one of the most affected countries. In 2018, the prevalence rate was 75% inchildren under 5 years. This study sought to identify the factors associated with anemia and to map spatialvariation of anemia across the eight (8) regions in Guinea for children under 5 years, which can provideguidance for control programs for the reduction of the disease.Methods: Data from the Guinea Multiple Indicator Cluster Survey (MICS5) 2016 was used for this study. Atotal of 2609 children under 5 years who had full covariate information were used in the analysis. Spatialbinomial logistic regression methodology was undertaken via Bayesian estimation based on Markov chainMonte Carlo (McMC) using WinBUGS software version 1.4. Results: Our findings revealed that 77% of children under 5 years in Guinea had anemia and the prevalence inthe regions ranged from 70.32% (Conakry) to 83.60% (N’Zerekore) across the country. After adjusting for nonspatial and spatial random effects in the model, older children (48–59 months) (OR: 0.47, CI [0.29 0.70]) were less likely to be anemic compared to those who are younger (0-11 months). Children whose mothers havecompleted secondary education or more had a reduced chance of anemia infection by 33% (OR: 0.67, CI [0.490.90]) and Children from household heads from Kissi ethnic group are less likely to have anemia than theircounterparts whose leader is from Soussou (OR: 0.48, CI [0.22 0.91]). Conclusion: The spatial analysis allowed the identification of high-risk areas as well as the identification ofsocio-economic and demographic factors associated with anemia among children under 5 years. Such ananalysis is important in helping policy makers and health practitioners in developing programs geared towardscontrol and management of anemia among children under 5 years in the country.

scholarly journals Inequities in child survival in Nigerian communities during the Sustainable Development Goal era: insights from analysis of 2016/2017 Multiple Indicator Cluster Survey

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Daniel Adedayo Adeyinka ◽  
Nazeem Muhajarine ◽  
Pammla Petrucka ◽  
Elon Warnow Isaac
Keyword(s):  
Neonatal Mortality ◽  
Perinatal Care ◽  
Child Survival ◽  
Childhood Mortality ◽  
The Sustainable Development ◽  
Under Five ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Skilled Health

Abstract Background Child survival is a major concern in Nigeria, as it contributes 13% of the global under-five mortalities. Although studies have examined the determinants of under-five mortality in Nigeria, the comparative roles of social determinants of health at the different stages of early childhood development have not been concurrently investigated. This study, therefore, aimed to identify the social determinants of age-specific childhood (0–59 months) mortalities, which are disaggregated into neonatal mortality (0–27 days), post-neonatal mortality (1–11 months) and child mortality (12–59 months), and estimate the within-and between-community variations of mortality among under-five children in Nigeria. This study provides evidence to guide stakeholders in planning for effective child survival strategies in the Nigerian communities during the Sustainable Development Goals era. Methods Using the 2016/2017 Nigeria Multiple Indicator Cluster Survey, we performed multilevel multinomial logistic regression analysis on data of a nationally representative sample of 29,786 (weighted = 30,960) live births delivered 5 years before the survey to 18,497 women aged 15–49 years and nested within 16,151 households and 2227 communities. Results Determinants of under-five mortality differ across the neonatal, post-neonatal and toddler/pre-school stages in Nigeria. Unexpectedly, attendance of skilled health providers during delivery was associated with an increased neonatal mortality risk, although its effect disappeared during post-neonatal and toddler/pre-school stages. Also, our study found maternal-level factors such as maternal education, contraceptive use, maternal wealth index, parity, death of previous children, and quality of perinatal care accounted for high variation (39%) in childhood mortalities across the communities. The inclusion of other compositional and contextual factors had no significant additional effect on childhood mortality risks across the communities. Conclusion This study reinforces the importance of maternal-level factors in reducing childhood mortality, independent of the child, household, and community-level characteristics in the Nigerian communities. To tackle childhood mortalities in the communities, government-led strategies should prioritize implementation of community-based and community-specific interventions aimed at improving socioeconomic conditions of women. Training and continuous mentoring with adequate supervision of skilled health workers must be ensured to improve the quality of perinatal care in Nigeria.

scholarly journals Bayesian Spatial Modeling of Anemia among Children under 5 Years in Guinea

2021 ◽  
Vol 18 (12) ◽  
pp. 6447
Author(s):  
Thierno Souleymane Barry ◽  
Oscar Ngesa ◽  
Nelson Owuor Onyango ◽  
Henry Mwambi
Keyword(s):  
Public Health Problem ◽  
Major Public Health Problem ◽  
Older Children ◽  
Children Under Five ◽  
Under Five ◽  
Control Programs ◽  
Number Of Children ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Household Heads

Anemia is a major public health problem in Africa, affecting an increasing number of children under five years. Guinea is one of the most affected countries. In 2018, the prevalence rate in Guinea was 75% for children under five years. This study sought to identify the factors associated with anemia and to map spatial variation of anemia across the eight (8) regions in Guinea for children under five years, which can provide guidance for control programs for the reduction of the disease. Data from the Guinea Multiple Indicator Cluster Survey (MICS5) 2016 was used for this study. A total of 2609 children under five years who had full covariate information were used in the analysis. Spatial binomial logistic regression methodology was undertaken via Bayesian estimation based on Markov chain Monte Carlo (MCMC) using WinBUGS software version 1.4. The findings in this study revealed that 77% of children under five years in Guinea had anemia, and the prevalences in the regions ranged from 70.32% (Conakry) to 83.60% (NZerekore) across the country. After adjusting for non-spatial and spatial random effects in the model, older children (48–59 months) (OR: 0.47, CI [0.29 0.70]) were less likely to be anemic compared to those who are younger (0–11 months). Children whose mothers had completed secondary school or above had a 33% reduced risk of anemia (OR: 0.67, CI [0.49 0.90]), and children from household heads from the Kissi ethnic group are less likely to have anemia than their counterparts whose leaders are from Soussou (OR: 0.48, CI [0.23 0.92]).

scholarly journals Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e07111
Author(s):  
Ahmed Abdus Saleh Saleheen ◽  
Sharmin Afrin ◽  
Samia Kabir ◽  
Md. Jakaria Habib ◽  
Maliha Afroj Zinnia ◽  
...  
Keyword(s):  
Sociodemographic Factors ◽  
Early Marriage ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals Correlates of child functional difficulties status in Ghana: A further analysis of the 2017/18 multiple indicator cluster survey

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05727
Author(s):  
Nutifafa Eugene Yaw Dey ◽  
Emmanuel Dziwornu ◽  
Kwabena Frimpong-Manso ◽  
Henry Ofori Duah ◽  
Pascal Agbadi
Keyword(s):  
Cluster Survey ◽  
Functional Difficulties ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals Factors Associated with Attrition of Girls Students from School in Bangladesh

2020 ◽  
Vol 12 (1) ◽  
pp. 29-38
Author(s):  
M. N. Hasan
Keyword(s):  
Wealth Index ◽  
Fifth Grade ◽  
Child Marriage ◽  
Multiple Logistic Regression ◽  
Factors Associated ◽  
School Based ◽  
Stepwise Method ◽  
Multiple Indicator ◽  
Girls School ◽  
Mlr Model

Many girls who enrolled in a school but didn’t complete elementary or secondary education, have become a serious problem in the last few decades in Bangladesh. Several studies have been conducted to identify the determinants of school dropout by constructing bivariate and multiple logistic regression (MLR) model. Bangladesh multiple indicator cluster surveys (MICS) 2012 data were selected in this investigation. This study was based on girls aged between 15 and 17 years since all these girls should have been in school or have completed primary education. The backward stepwise method was used for model selection and fitting to the dataset. From 4800 girls, 29.1% were out of school and 70.9% were attending school. Backward stepwise method confirmed that girl’s marital status, area, division, wealth index, religion, mothers and father’s aliveness and household education were the major reasons of girl’s dropout and these covariates are only considered in the analysis. The MLR analysis showed that married girls were significantly (OR 11.06; 95% CI 9.05–13.56) more likely to attrition compared to unmarried girls. School-based programs aimed at preventing child marriage should target girls from the fifth grade because of their escalated risk, and they need to prioritize girls from disadvantaged groups.

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