scholarly journals Fertility Determinan in Sudan: Analysis of Multiple Indicator Cluster Survey, 2014

Populasi ◽  
2019 ◽  
Vol 26 (2) ◽  
pp. 1
Author(s):  
Mustafa Elnagi Elsamani Hassan ◽  
Sukamdi Sukamdi ◽  
Agus Joko Pitoyo
Keyword(s):  
Urban Areas ◽  
Post Partum ◽  
Great Influence ◽  
High Fertility ◽  
Wealth Status ◽  
Targeted Interventions ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Nationally Representative

Sudan has continuously reported high fertility rates. While the influence of both underlying and proximate determinants is well documented in various studies worldwide, there’s a lack of recent information on their influence on fertility in Sudan. Therefore, the objective of this study to examine the levels, patterns and determinants of fertility in Sudan. The analyses were based on 2014 Sudan Multiple Indicators Cluster Survey (SMICS) data. The SMICS data is nationally representative data. The survey sampled 18,302 women across the country, collecting information on females aged 15-49 years. The analysis was based on the Bongaarts Model. Results show that post-partum infecundability has the largest effect in reducing fertility in Sudan (30.7 per cent or 4.7 birth) followed by marriage (27.5 per cent or 4.3 birth) and contraceptive (7.8 per cent or 1.2 birth). The findings of study shown also that significant differences between education, wealth, and place of residence. This means that the increase in education, especially higher education, improve the wealth status and living in urban areas seem to have a great influence toward fertility education in Sudan. Also, it agreed that there is a regional fertility differential associated with social and economic development in the different region and states. Therefore, in order to manage fertility in Sudan, policies and programmes should consider the effects of marriage, postpartum infecundity, contraception, education, and wealth on fertility. Lack of such targeted interventions, population growth will remain a challenge in Sudan.  

scholarly journals Predictors of health insurance enrolment and wealth-related inequality in Nepal: evidence from Multiple Indicator Cluster Survey (MICS) 2019

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e050922
Author(s):  
Umesh Prasad Bhusal ◽  
Vishnu Prasad Sapkota
Keyword(s):  
Health Insurance ◽  
Mass Media ◽  
Household Head ◽  
Health Coverage ◽  
Wealth Status ◽  
Cluster Survey ◽  
Related Inequality ◽  
Multiple Indicator Cluster Survey ◽  
Inequality In Health ◽  
Multiple Indicator

ObjectivesWe analysed predictors of health insurance enrolment in Nepal, measured wealth-related inequality and decomposed inequality into its contributing factors.DesignCross-sectional study.SettingWe used nationally representative data based on Nepal Multiple Indicator Cluster Survey 2019. Out of 10 958 households included in this study, 6.95% households were enroled in at least one health insurance scheme.Primary outcomemeasures health insurance (of any type) enrolment.ResultsHouseholds were more likely to have health insurance membership when household head have higher secondary education or above compared with households without formal education (adjusted OR 1.87; 95% CI: 1.32 to 2.64)). Households with mass media exposure were nearly three times more likely to get enroled into the schemes compared with their counterparts (adjusted OR 2.96; 95% CI 2.03 to 4.31). Hindus had greater odds of being enroled (adjusted OR 1.82; 95% CI 1.20 to 2.77) compared with non-Hindus. Dalits were less likely to get enroled compared with Brahmin, Chhetri and Madhesi (adjusted OR 0.66; 95% CI 0.47 to 0.94). Households from province 2, Bagmati and Sudurpaschim were less likely to have membership compared with households from province 1. Households from Richer and Richest wealth quintiles were more than two times more likely to have health insurance membership compared with households from the poorest wealth quintile. A positive concentration index 0.25 (95% CI 0.21 to 0.30; p<0.001) indicated disproportionately higher health insurance enrolment among wealthy households.ConclusionsEducation of household head, exposure to mass media, religious and ethnic background, geographical location (province) and wealth status were key predictors of health insurance enrolment in Nepal. There was a significant wealth-related inequality in health insurance affiliation. The study recommends regular monitoring of inequality in health insurance enrolment across demographic and socioeconomic groups to ensure progress towards Universal Health Coverage.

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 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 The Role of Sociodemographic and Psychosocial Variables in Early Childhood Development: A Secondary Data Analysis of the 2014 Multiple Indicator Cluster Survey in the Dominican Republic

2021 ◽  
Author(s):  
Laura V. Sánchez-Vincitore ◽  
Arachu Castro
Keyword(s):  
Early Childhood ◽  
Dominican Republic ◽  
Early Childhood Development ◽  
Childhood Development ◽  
Developmental Potential ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Psychosocial Model ◽  
Multiple Indicator ◽  
At Home

AbstractIntroductionThe association between sociodemographic factors, such as poverty, lack of maternal schooling, and being male at birth, and childhood developmental delay and poor educational outcomes has been established in the Dominican Republic. However, moderating factors present or introduced in families to buffer the effects of such factors on childhood development are still unknown.MethodsWe conducted a secondary analysis of the 2014 Multiple Indicator Cluster Survey for the Dominican Republic, a national household survey focused on maternal and child health and development. The first aim of our study was to determine if a sociodemographic model predicted early childhood development. The second aim was to determine if a psychosocial model (including family childrearing practices, discipline, and early childhood stimulation) predicted early childhood development above and beyond the sociodemographic model.ResultsWe found that both models predicted childhood development significantly, but that the psychosocial model explained 5% more variance than the sociodemographic model. The most relevant sociodemographic predictors were socioeconomic position and mother’s education, which uniquely explained 21% and 17% of the early childhood development variance, respectively. The most salient psychosocial predictors of early childhood development were: 1) attendance to an early childhood education program, which uniquely explained 15.0% of the variance; 2) negative discipline, which uniquely explained 12.4% (negative impact); 3) the number of children’s books at home, which uniquely explained 12.0%; and 4) stimulating activities at home, which uniquely explained 5%.ConclusionThese results have multiple implications for social programs that aim to improve children’s developmental potential in contexts of poverty. Although the results show a protective effect of psychosocial factors, sustainable and large-scale intervention should not be limited to just buffering effects, but to actually solve the underlying problem which is that poverty prevents children from reaching their developmental potential.

PATTERN OF SCHOOL ABSENTEEISM IN SOME SELECTED COUNTRIES

2021 ◽  
pp. 1-12
Keyword(s):  
Conditional Cash Transfer ◽  
Rural Students ◽  
Cash Transfer ◽  
School Absenteeism ◽  
Wealth Status ◽  
Middle Income ◽  
Primary Level ◽  
Middle Income Countries ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

School absenteeism is treated as a barrier towards quality education. It is related to school dropout, depression, anxiety and academic performance. This study uses Multiple Indicator Cluster Survey dataset to analyze the pattern of school absenteeism in five lower middle-income countries: Bangladesh, Djibouti, Nigeria, Ukraine and Vietnam. Primary and secondary level students are considered in this study. Authors accomplish descriptive analyses to trace out the pattern of school absenteeism. This study finds that nearly one-third students in Bangladesh, about half of the students in Djibouti and more than half students in Vietnam missed at least one instructional day in a week. Additionally, more than 80 percent students in Nigeria and Ukraine missed one instructional day in a week. This study reveals that age and wealth status are negatively related to school absenteeism. Furthermore, it is evident that tendency of school absenteeism is higher among rural and primary level students. Thus, this study suggests for providing conditional cash transfer among primary level students and specific incentive for rural students to address the problem of absenteeism.

scholarly journals What has poverty got to do with it? Analysis of household access to improved sanitation in Ghana

2017 ◽  
Vol 7 (1) ◽  
pp. 129-139
Author(s):  
Simon Mariwah ◽  
Joshua Amo-Adjei ◽  
Prisca Anima
Keyword(s):  
Urban Areas ◽  
Qualitative Data ◽  
Household Wealth ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Multiple Indicator Cluster Survey ◽  
Household Assets ◽  
Improved Sanitation ◽  
Multiple Indicator ◽  
Group Interviews

This paper investigates antecedents to demand for household sanitation in Ghana. We employed a sequential, mixed-method approach, relying on the 2011 Ghana Multiple Indicator Cluster Survey (MICS) and primary qualitative data generated from individual and group interviews. The aim was to ascertain the role of household assets (measured by household wealth) in access to improved sanitation in Ghana. The study found that although wealth positively influenced household ownership of improved sanitation, the effect is strongly noticed only at the pinnacle of wealth quintiles (the richest households). From the qualitative data, we find that, beyond poverty, a mix of cultural, social, political and economic nuances influenced and somehow perpetuate low access to improved sanitation in Ghanaian households. We therefore surmise that means targeting of the poor and application of social marketing of sanitation in both rural and urban areas can help trigger awareness and demand for improved sanitation in Ghana.

Sign in / Sign up

Export Citation Format

Share Document