Father Presence, Father Engagement, and Specific Health and Developmental Outcomes of Mongolian Pre-School Children

This study explored father involvement as a social determinant of child health within the context of macro-environmental changes in Mongolia. Using data for children aged 3–4 from UNICEF’s Multiple Indicator Cluster Surveys, this cross-sectional analysis examined the association between father presence and engagement with child health and educational outcomes. Multivariate regression modeling was employed to identify associations between father presence, engagement, and child outcomes including fever, respiratory illness, diarrhea and preschool attendance. In unadjusted analyses, father engagement was associated with higher odds of preschool attendance (Odds Ratio (OR) = 1.12; 95% Confidence Interval (CI) 1.04–1.20) but not with child illness (OR = 1.04; 95% CI 0.95–1.14). Father engagement was no longer associated with preschool attendance after controlling for potentially confounding variables (ORadj = 0.95; 95% CI 0.88–1.03). Unadjusted and adjusted analyses showed that father presence was not associated with acute illness or preschool attendance. Results also suggest that a larger proportion of children were engaged in activities by their mother compared to their father or other adults. Data indicate that father presence and engagement were not associated with child illness or preschool attendance. Factors such as maternal education, household wealth, and region of residence are stronger predictors of preschool attendance and should continue to be considered for promoting child health and development in Mongolia.

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Father Presence, Father Engagement, and Child Outcomes in Mongolia

10.20944/preprints202105.0416.v1 ◽

2021 ◽

Author(s):

Lesley Pablo ◽

Ryenchindorj Erkhembayar ◽

Colleen M Davison

Keyword(s):

Child Health ◽

Maternal Education ◽

Environmental Changes ◽

School Attendance ◽

Child Outcomes ◽

Household Wealth ◽

Father Engagement ◽

Child Illness ◽

Preschool Attendance ◽

Father Presence

This study explored father involvement as a social determinant of child health within the context of macro-environmental changes in Mongolia. Using data for children aged 3-4 from UNICEF’s Multiple Indicator Cluster Surveys, this cross-sectional analysis examined the association between father presence and engagement with child health and educational outcomes. Multivariate regression modeling was employed to identify associations between father presence, engagement, and child outcomes including fever, respiratory illness, diarrhea and preschool attendance. In unadjusted analyses, father engagement was associated with higher odds of pre-school attendance (OR=1.12; 95% CI 1.04-1.20) but not with child illness (OR=1.04; 95% CI 0.95-1.14). Father engagement was no longer associated with pre-school attendance after controlling for potentially confounding variables (ORadj = 0.95; 95% CI 0.88-1.03). Unadjusted and adjusted analyses showed that father presence was not associated with acute illness or preschool attendance. Results also suggest that a larger proportion of children were engaged in activities by their mother compared to their father or other adults. Data indicate that father presence and engagement were not associated with child illness or pre-school attendance. Factors such as maternal education, household wealth, and region of residence are stronger predictors of preschool attendance and should continue to be considered for promoting child health and development in Mongolia.

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Trends in stunting and overweight in Peruvian pre-schoolers from 1991 to 2011: findings from the Demographic and Health Surveys

Public Health Nutrition ◽

10.1017/s1368980014000275 ◽

2014 ◽

Vol 17 (11) ◽

pp. 2407-2418 ◽

Cited By ~ 16

Author(s):

Helga Bjørnøy Urke ◽

Maurice B Mittelmark ◽

Martín Valdivia

Keyword(s):

Urban Areas ◽

Health Surveys ◽

Maternal Education ◽

Wealth Quintile ◽

Household Wealth ◽

Demographic And Health Surveys ◽

Sampling Weights ◽

Cross Sectional ◽

Growth Standards ◽

Low Educated

AbstractObjectiveTo examine trends in stunting and overweight in Peruvian children, using 2006 WHO Multicentre Growth Reference Study criteria.DesignTrend analyses using nationally representative cross-sectional surveys from Demographic and Health Surveys (1991–2011). We performed logistic regression analyses of stunting and overweight trends in sociodemographic groups (sex, age, urban–rural residence, region, maternal education and household wealth), adjusted for sampling design effects (strata, clusters and sampling weights).SettingPeru.SubjectsChildren aged 0–59 months surveyed in 1991–92 (n 7999), 1996 (n 14 877), 2000 (n 11 754), 2007–08 (n 8232) and 2011 (n 8186).ResultsChild stunting declined (F(1, 5149) = 174·8, P ≤ 0·00) and child overweight was stable in the period 1991–2011 (F(1, 5147) = 0·4, P ≤ 0·54). Over the study period, levels of stunting were highest in rural compared with urban areas, the Andean and Amazon regions compared with the Coast, among children of low-educated mothers and among children living in households in the poorest wealth quintile. The trend in overweight rose among males in coastal areas (F(1, 2250) = 4·779, P ≤ 0·029) and among males in the richest wealth quintile (F(1, 1730) = 5·458, P ≤ 0·020).ConclusionsThe 2011 levels of stunting and overweight were eight times and three and a half times higher, respectively, than the expected levels from the 2006 WHO growth standards. The trend over the study period in stunting declined in most sociodemographic subgroups. The trend in overweight was stable in most sociodemographic subgroups.

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Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries

BMJ Open ◽

10.1136/bmjopen-2019-034524 ◽

2020 ◽

Vol 10 (8) ◽

pp. e034524

Author(s):

Adeyinka Emmanuel Adegbosin ◽

Bela Stantic ◽

Jing Sun

Keyword(s):

Neural Network ◽

Deep Learning ◽

Low Income ◽

Maternal Education ◽

Household Wealth ◽

Secondary Outcome ◽

Cross Sectional ◽

Middle Income ◽

Under Five ◽

Middle Income Countries

ObjectivesTo explore the efficacy of machine learning (ML) techniques in predicting under-five mortality (U5M) in low-income and middle-income countries (LMICs) and to identify significant predictors of U5M.DesignThis is a cross-sectional, proof-of-concept study.Settings and participantsWe analysed data from the Demographic and Health Survey. The data were drawn from 34 LMICs, comprising a total of n=1 520 018 children drawn from 956 995 unique households.Primary and secondary outcome measuresThe primary outcome measure was U5M; secondary outcome was comparing the efficacy of deep learning algorithms: deep neural network (DNN); convolution neural network (CNN); hybrid CNN-DNN with logistic regression (LR) for the prediction of child’s survival.ResultsWe found that duration of breast feeding, number of antenatal visits, household wealth index, postnatal care and the level of maternal education are some of the most important predictors of U5M. We found that deep learning techniques are superior to LR for the classification of child survival: LR sensitivity=0.47, specificity=0.53; DNN sensitivity=0.69, specificity=0.83; CNN sensitivity=0.68, specificity=0.83; CNN-DNN sensitivity=0.71, specificity=0.83.ConclusionOur findings provide an understanding of determinants of U5M in LMICs. It also demonstrates that deep learning models are more efficacious than traditional analytical approach.

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Assessment of malnutrition by different anthropometric method and effect of poverty and maternal education as a barrier to healthy nutritional status among children under five years of age.

The Professional Medical Journal ◽

10.29309/tpmj/2020.27.10.4468 ◽

2020 ◽

Vol 27 (10) ◽

pp. 2122-2128

Author(s):

Hassan Ali ◽

Saadia Khan ◽

Ibad Ali ◽

Asad Abbas ◽

Reema Arshad ◽

...

Keyword(s):

Socioeconomic Status ◽

Child Health ◽

Nutritional Status ◽

Maternal Education ◽

Cross Sectional Study ◽

Double Burden ◽

Cross Sectional ◽

Children Under Five ◽

Under Five ◽

Nutritional Status Of Children

Objectives: Pakistan is facing double burden of malnutrition. The purpose of current study was to access the nutritional status by different anthropometric methods and common barriers that affect the nutritional status of children. Study Design: Cross Sectional study. Setting: Children Hospital & Institute of Child Health Multan, Pakistan. Period: From 1st March 2019 to 1ST January 2020. Material & Methods: The study contained of 405 children with 216 boys and 187 girls. The data was collected by trained nutritionist in OPD of Children Hospital & Institute of Child Health and data was analyzed by using SPSS version 21.0. Results: The study showed that malnutrition is caused by poor socioeconomic status and low education level of care giver. The data showed that 318 (78.51%) participants involved in this study were malnourished. Nutritional status mostly affected during first birthday (36.79%). In this study 50.12% participants belonged to poor nutritional status and 47.65% mother were uneducated. Conclusion: The mother education and good socioeconomic status can prevent children from malnutrition. Feeding practices and weaning starting time also play role in defining nutritional status of children. Children under five year of age are at very sensitive of age and more prone to diseases so well balance diet and mother feeding upto-2 years of age can prevent children from chronic diseases and improve nutritional status.

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Associated Factors of Caesarean Section in Ethiopia Using 2016 Demographic Health Survey Data; Community Based Cross Sectional Study

10.21203/rs.2.13771/v1 ◽

2019 ◽

Author(s):

Abebaw Gedef Azene ◽

Abiba Mihret Aragaw ◽

Mihretie Gedefaw

Keyword(s):

Caesarean Section ◽

Associated Factors ◽

Maternal Education ◽

Multiple Pregnancy ◽

Wealth Index ◽

Household Wealth ◽

Cross Sectional Study ◽

Community Based ◽

Cross Sectional ◽

Health Survey Data

Abstract Objective:The rate of caesarean section is increasing in Ethiopia, recently. Identifying associated demographic health factors was the aim of this study.Results:More educated mothers were more delivering by C-section compared with those illiterate. Those mother having higher body mass index were more likely to deliver with caesarean section (p = 0.0001). C-section was increased when mothers go to elder (p = 0.0001). Maternal education, birth order, preceding birth interval, multiple pregnancy, maternal age and interaction effect BMI with household wealth index statistically significantly associated factors to increase the rate of C-section. Residence and region were community level factors to increase caesarean section.Therefore; community awareness creation towards C-section with its side effect is essential in Ethiopia.

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Two decades of regional trends in vaccination completion and coverage among children aged 12-23 months: an analysis of the Uganda Demographic Health Survey data from 1995 to 2016

BMC Health Services Research ◽

10.1186/s12913-021-07443-8 ◽

2022 ◽

Vol 22 (1) ◽

Author(s):

Gerald Okello ◽

Jonathan Izudi ◽

Immaculate Ampeire ◽

Frehd Nghania ◽

Carine Dochez ◽

...

Keyword(s):

Child Health ◽

Health Survey ◽

Maternal Education ◽

Statistical Significance ◽

Public Health Intervention ◽

Household Wealth ◽

Childhood Vaccination ◽

Demographic Health Survey ◽

Health Card ◽

Vaccination Completion

Abstract Background Childhood vaccination is an important public health intervention but there is limited information on coverage, trends, and determinants of vaccination completion in Uganda at the regional level. We examined trends in regional vaccination coverage and established the determinants of vaccination completion among children aged 12-23 months in Uganda. Methods We analyzed data from the women’s questionnaire for the 1995-2016 Uganda Demographic Health Survey (UDHS). Vaccine completion was defined as having received a dose of Bacillus-Calmette Guerin (BCG) vaccine; three doses of diphtheria, pertussis, and tetanus (DPT) vaccine; three doses of oral polio vaccine (OPV) (excluding OPV given at birth); and one dose of measles vaccine. We performed Chi-square tests to compare vaccination completion by socio-demographic factors stratified by 10 sub-regions: Eastern, East Central, Central 1, Central 2, Kampala, Karamoja, North, Western, West Nile, and Southwest. We performed logistic regression analysis for each of the regions to identify factors associated with vaccination completion at 5% level of statistical significance. Results Overall vaccination completion was 48.6% (95%CI, 47.2, 50.1) and ranged from 17.3% in Central 1 to 65.9% in Southwest. Vaccination completion rates declined significantly by 10.4% (95% confidence interval (CI), − 16.1, − 4.6) between 1995 and 2000, and increased significantly by 10.0% (95% CI, 4.6, 15.4) between 2000 and 2006, and by 5.4% (95% CI, 0.2, 10.6) between 2006 and 2011. Maternal education (secondary or higher level), receipt of tetanus toxoid (TT) during pregnancy, and possession of a child health card were associated with vaccination completion across all the sub-regions. Other factors like place of residence, religious affiliation, household wealth, maternal age, childbirth order, size of child at birth, and place of delivery were associated with vaccination completion but differed between the 10 sub-regions. Conclusion Besides considerable regional variations, the vaccination completion rate among children aged 12-23 months in Uganda remains suboptimal despite the availability of vaccines. Maternal education, receipt of TT, and possession of a child health card are associated with a higher likelihood of vaccination completion among children aged 12-23 months in all the regions of Uganda. Interventions to improve the utilization of vaccination services in Uganda should consider these factors.

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The influence of economic development level, household wealth and maternal education on child health in the developing world

Social Science & Medicine ◽

10.1016/j.socscimed.2006.04.034 ◽

2006 ◽

Vol 63 (8) ◽

pp. 2242-2254 ◽

Cited By ~ 115

Author(s):

Michael H. Boyle ◽

Yvonne Racine ◽

Katholiki Georgiades ◽

Dana Snelling ◽

Sungjin Hong ◽

...

Keyword(s):

Economic Development ◽

Child Health ◽

Maternal Education ◽

Developing World ◽

Household Wealth ◽

Development Level

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SickKids Centre for Global Child Health - Chronic Child Malnutrition Project Placement

University of Toronto Journal of Public Health ◽

10.33137/utjph.v1i1.33828 ◽

2020 ◽

Vol 1 (1) ◽

Author(s):

Zahra Hussain

Keyword(s):

Child Health ◽

Motor Development ◽

Maternal Education ◽

Multivariable Analysis ◽

Household Wealth ◽

Acute Malnutrition ◽

Child Malnutrition ◽

Global Health Research ◽

Access To Health Services ◽

Mortality And Morbidity

I completed a 16-week practicum at the SickKids Centre for Global Child Health where I was a part of the stunting team led by Dr. Nadia Akseer under the research portfolio of Dr. Zulfiqar A. Bhutta. Linear growth stunting, or low height-for-age, is a visible and easily measurable physical manifestation of chronic malnutrition. Children who are stunted have higher rates of mortality and morbidity, as well as experience suboptimal cognitive and motor development. At the time of my placement, one of the team's main projects was a mixed-methods study involving an in-depth evaluation of policies, programs, and factors that have contributed to the decline of under-5 stunting in Ethiopia from 2000-2016. I worked on a variety of components of the manuscript for this study. These included narratives for country demographics, background statistics as well as migration and remittance trends. I also contributed to a literature review on factors that have contributed to a reduction in stunting in Ethiopia in relation to an adapted version of UNICEF's conceptual framework for malnutrition. In addition to the manuscript, I conducted a multivariable analysis of the 2016 determinants of under-5 wasting in Ethiopia. Wasting, or low weight for height, is a form of acute malnutrition and is also a risk factor for mortality. I applied a hierarchical analysis to wasting indicators such as disease, household wealth, maternal education and access to health services. I used Ethiopia's 2016 Demographic and Health Survey data and additional data sources provided through various Ethiopian government ministries. Overall my practicum was a rich interdisciplinary learning experience which allowed me to develop my quantitative and qualitative research skills. I also gained a deeper understanding of global health research processes and the multi-sectoral nature of combating child malnutrition.

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Factors Affecting Breastfeeding Practices in Sindh Province, Pakistan: A Secondary Analysis of Cross-Sectional Survey Data

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16101689 ◽

2019 ◽

Vol 16 (10) ◽

pp. 1689

Author(s):

Jin-Won Noh ◽

Young-mi Kim ◽

Nabeel Akram ◽

Ki-Bong Yoo ◽

Jooyoung Cheon ◽

...

Keyword(s):

Socioeconomic Status ◽

Child Health ◽

Maternal Education ◽

Information Sources ◽

Secondary Analysis ◽

Peer Counseling ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Breastfeeding Practices ◽

Sindh Province

Breastfeeding practices are critical for child health and growth. This paper investigates demographic factors, socioeconomic status, and information sources that affect breastfeeding practices in Sindh Province, Pakistan. A secondary analysis was performed of data on 10,028 women with a birth in the preceding two years who had participated in the 2013–14 Maternal and Child Health Program Indicator Survey. Multiple logistic regressions were used to test the association between breastfeeding status (ever breastfed and still breastfeeding) and age, number of living children, residence, education, wealth, information sources about breastfeeding, assistance during delivery, and place of delivery. Of the 9955 women included in the analysis, 97.9% had breastfed and 83.9% were still breastfeeding at the time of the survey. Being in the second, third, or fourth wealth quintiles and receiving breastfeeding information from relatives and friends were associated with ever breastfeeding. Women who were 35 years or older, living in a town/small city, higher maternal education, middle wealth quintile, and receiving breastfeeding information from the media were associated with still breastfeeding. The findings suggest the need to develop interventions considering maternal socioeconomic status and peer counseling interventions. Mass media campaigns to promote breastfeeding practices should be accompanied by governmental restrictions on the marketing of infant formula.

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Political Economy, Capability Development, and Fundamental Cause: Integrating Perspectives on Child Health in Developing Countries

Journal of World-Systems Research ◽

10.5195/jwsr.2017.639 ◽

2017 ◽

Vol 23 (1) ◽

pp. 62-92 ◽

Cited By ~ 1

Author(s):

Rebekah Burroway

Keyword(s):

Political Economy ◽

Developing Countries ◽

Child Health ◽

Maternal Education ◽

Well Being ◽

Household Wealth ◽

Child Malnutrition ◽

Demographic And Health Surveys ◽

Individual Level ◽

Fundamental Cause

Several dominant theoretical perspectives attempt to account for health disparities in developing countries, including political economy, the capability approach, and fundamental cause. This study combines the perspectives in a multi-level analysis of child malnutrition and diarrhea in order to gain a more comprehensive understanding of who faces increased health risks and who is shielded from them. Using the Demographic and Health Surveys and World Bank data, I estimate a series of models that predict the likelihood of child malnutrition and diarrhea, based on a set of country- and individual-level explanatory variables. Results suggest that at the individual-level, household wealth and maternal education are the most robust predictors of child health. These social factors are even more important than more proximate factors like clean water or sanitation. At the country-level, gross domestic product (GDP) per capita reduces malnutrition, but does not significantly affect incidence of diarrhea. Contrary to the predominant economic development paradigm, health care and education are more important in accounting for the prevalence of diarrhea than GDP. Finally, trade in and of itself is not harmful to well-being in developing countries. It is when countries become too dependent on one or a few commodities that trade starts to have detrimental costs. Thus, a synthesis of theoretical frameworks best illustrates the complex web of social structural factors that manifest as unequal life chances for children.

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