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Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana.

ABSTRACT: BACKGROUND:Under-five malnutrition is a major public health issue contributing to mortality and morbidity, especially in developing countries like Ghana where the rates remain unacceptably high. Identification of critical risk factors of under-five malnutrition using appropriate and advanced statistical methods can help formulate appropriate health programmes and policies aimed at achieving the United Nations SDG Goal 2 target 2. This study attempts to develop a simultaneous quantile regression, an in-depth statistical model to identify critical risk factors of under-five severe chronic malnutrition (severe stunting). METHODS:Based on the nationally representative data from the 2014 Ghana Demographic and Health Survey, height-for-age z-score (HAZ) was estimated. Multivariable simultaneous quantile regression modelling was employed to identify critical risk factors for severe stunting based on HAZ (a measure of chronic malnutrition in populations). Quantiles of HAZ with focus on severe stunting were modelled and the impact of the risk factors determined. Significant test of the difference between slopes at different selected quantiles of severe stunting and other quantiles were performed. A quantile regression plots of slopes were developed to visually examine the impact of the risk factors across these quantiles. RESULTS:Data on a total of 2716 children were analysed out of which 144 (5.3%) were severely stunted. The models identified child level factors such as type of birth, sex, age, place of delivery and size at birth as significant risk factors of under-five severe stunting. Maternal and household level factors identified as significant predictors of under-five severe stunting were maternal age and education, maternal national health insurance status, household wealth status, and number of children under-five in households. Highly significant differences exist in the slopes between 0.1 and 0.9 quantiles. The quantile regression plots for the selected quantiles from 0.1 to 0.9 showed substantial differences in the impact of the covariates across the quantiles of HAZ considered. CONCLUSION:Critical risk factors that can aid formulation of child nutrition and health policies and interventions that will improve child nutritional outcomes and survival were identified. Modelling under-five severe stunting using multivariable simultaneous quantile regression models could be beneficial to addressing the under-five severe stunting.

SUBMITTER: Aheto JMK

PROVIDER: S-EPMC7206751 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana.

Aheto Justice Moses K JMK

BMC public health 20200507 1

<h4>Background</h4>Under-five malnutrition is a major public health issue contributing to mortality and morbidity, especially in developing countries like Ghana where the rates remain unacceptably high. Identification of critical risk factors of under-five malnutrition using appropriate and advanced statistical methods can help formulate appropriate health programmes and policies aimed at achieving the United Nations SDG Goal 2 target 2. This study attempts to develop a simultaneous quantile reg ...[more]

PMID: 32380990

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Project description:Background:Severe acute malnutrition is one of the major public health problems in developing countries having a devastating effect on the lives of many children under 5 years of age. In Ethiopia, there has been isolated studies conducted on malnutrition with no study attempting to identify the determinants of severe acute malnutrition in the rural district of Enebsie Sarmidr.This study intends to identify the determinants of severe acute malnutrition in rural district located in North West Ethiopia. Methods:A Community based un matched case -control study was carried on 311 (64 cases and 247 controls) children aged between birth-59 months with their respective mothers or care takers from March 1-30/ 2016. Odds Ratio along with 95% confidence interval was estimated to identify determinants of severe acute malnutrition using the multivariable logistic regression. Results:The response rate was 97.8%. Severe acute malnutrition was significantly associated with age groups birth-24 months (AOR?=?2.64, 95% CI 1.17-5.95), late initiation of breast feeding greater than an hour after birth (AOR?=?4.26, 95% CI 1.74-10.42), nonexclusive breast feeding (AOR =5.81, 95% CI 1.80-18.79), diarrheal disease in the preceding 2 weeks before SAM (AOR?=?7.98, 95% CI 2.57-24.74), febrile illnesses preceding 2 weeks before SAM (AOR?=?2.87 95% CI 1.13-7.63), decreased or maintained mealing of the mother compared to the regular during pregnancy or lactation (AOR?=?8.15, 95% CI 3.70-17.98) and birth interval less than 2 years (AOR?=?3.34, 95% CI 1.55-7.20) after controlling other variables effect. Conclusion:A child's age, late initiation of breast feeding, nonexclusive breast feeding, diarrheal diseases and febrile illnesses preceding 2 weeks before SAM, decreased or maintained mealing compared to the regular during pregnancy and lactating of the mother and narrow birth interval were identified as determinants of SAM. Therefore, collaborative efforts are needed to improve promotion of better child caring practices specifically, child and maternal feeding practices and prevention and treatment of acute illnesses.

Project description:BackgroundUnderstanding the burden and contextual risk factors is critical for developing appropriate interventions to control undernutrition.MethodsThis study used data from the 2014 Ghana Demographic and Health Survey to estimate the prevalence of underweight, stunting, and wasting. Single multiple logistic regressions were used to identify the factors associated with underweight, wasting and stunting. The study involved 2720 children aged 0-59 months old and mother pairs. All analyses were done in STATA/IC version 15.0. Statistical significance was set at p<0.05.ResultsThe prevalence of underweight, wasting and stunting were 10.4%, 5.3%, and 18.4% respectively. The age of the child was associated with underweight, wasting and stunting, whereas the sex was associated with wasting and stunting. Normal or overweight/obese maternal body mass index category, high woman's autonomy and middle-class wealth index were associated with a lower odds of undernutrition. The factors that were associated with a higher odds of child undernutrition included: low birth weight (<2.5 kg), minimum dietary diversity score (MDDS), a higher (≥4th) birth order number of child, primary educational level of husband/partner and domicile in the northern region of Ghana.ConclusionThere is still a high burden of child undernutrition in Ghana. The age, sex, birth weight, birth order and the MDDS of the child were the immediate factors associated with child undernutrition. The intermediate factors that were associated with child undernutrition were mainly maternal related factors and included maternal nutritional status and autonomy. Distal level factors which were associated with a higher odds of child undernutrition were the wealth index of the household, paternal educational status and region of residence. We recommend that interventions and policies for undernutrition should address socioeconomic inequalities at the community level while factoring in women empowerment programmes.

Project description:BackgroundSevere acute malnutrition (SAM) affects about 13 million under-five children (U5), with an estimated one million dying every year. In this study we aimed at determining the in hospital mortality and its associated factors among U5s admitted with SAM.MethodsThis was a prospective cohort study of children 6 months to 5 years with SAM admitted at Mbarara Regional Referral Hospital (MRRH) between June and August 2015. Care-takers were interviewed to collect socio-demographic and clinical information. Children under-went physical examination and had blood drawn for HIV, serum glucose, malaria, full blood count, culture and serum electrolytes investigation. Children were managed according to WHO treatment guidelines for SAM. All participants were followed up for a maximum period of 30 days. The proportion of U5 deaths within the first 48 hours and during the entire admission period was calculated. Using Poisson regression analysis, predictors of in-hospital mortality were analyzed with STATA/IC 11.0.ResultsWe enrolled 122 children, median age of 15 months [IQR:11-24], 58.2% males, 90% immunized, 81% ill for more than 2 weeks before admission, 71% from lower health facilities and majority with unknown HIV status(76%). Overall, 13 (10.7%) children died in hospital. Seven (5.7%) died within the first 48 hours. Intravenous (IV) fluid administration significantly predicted in-hospital mortality (adjusted IRR: 7.2, 95%CI: 2.14-24.08, p = 0.001).ConclusionThe in-hospital mortality in U5s with SAM was lower than that previously reported in central Uganda. Intravenous fluid administration significantly predicted overall in-hospital mortality. While Administration of intravenous fluids is still the main stay of managing severely malnourished children with shock, more research needs to be conducted in order to review the parameters presently used to assess children for shock with a view of diagnosing and managing shock in these children when it is still early. Adequate guidance on use of IV fluids in management of severely malnourished children should be prioritized during continuous medical education for healthcare workers and in the treatment guidelines.

Project description:BackgroundGlobally, millions of children aged below 5 years die every year and some of these deaths could have been prevented. Though a global problem, under-five mortality is also a major public health problem in Ghana with a rate of 60 deaths per 1000 live births. Identification of drivers of mortality among children aged below 5 years is an important problem that needs to be addressed because it could help inform health policy and intervention strategies aimed at achieving the United Nations SDG Goal 3 target 2. The aim of this study is to develop a predictive model and to identify determinants of under-five mortality.MethodThe 2014 Ghana Demographic and Health Survey data was used in this study. Analyses were conducted on 5884 children. The outcome variable is child survival status (alive or dead). Single level binary logistic and multilevel logistic regression models were employed to investigate determinants of under-five mortality. The fit of the model was checked using Variance Inflation Factor and Likelihood Ratio tests. The Receiver Operating Characteristic curve was used to assess the predictive ability of the models. A p-value< 0.05 was used to declare statistical significance.ResultsThe study observed 289 (4.91%) deaths among children aged below 5 years. The study produced a good predictive model and identified increase in number of total children ever born, number of births in last 5 years, and mothers who did not intend to use contraceptive as critical risk factors that increase the odds of under-five mortality. Also, children who were born multiple and residing in certain geographical regions of Ghana is associated with increased odds of under-five mortality. Maternal education and being a female child decreased the odds of under-five mortality. No significant unobserved household-level variations in under-five mortality were found. The spatial map revealed regional differences in crude under-five mortality rate in the country.ConclusionThis study identified critical risk factors for under-five mortality and strongly highlights the need for family planning, improvement in maternal education and addressing regional disparities in child health which could help inform health policy and intervention strategies aimed at improving child survival.

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Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana.

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Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana.

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