Dataset Information

Profiling household double and triple burden of malnutrition in sub-Saharan Africa: prevalence and influencing household factors.

ABSTRACT:

Objective

Undernutrition and anaemia (the commonest micronutrient deficiency), continue to remain prevalent and persistent in sub-Saharan Africa (SSA) alongside a rising prevalence of overweight and obesity. However, there has been little research on the co-existence of all three conditions in the same household in recent years. The current study examines the co-existence and correlates of the different conditions of household burden of malnutrition in the same household across SSA.

Setting

The study involved twenty-three countries across SSA who conducted Demographic and Health Surveys between 2008 and 2017.

Participants

The analytical sample includes 145 020 households with valid data on the nutritional status of women and children pairs (i.e. women of reproductive age; 15-49 years and children under 5 years).

Design

Logistic regression analyses were used to determine household correlates of household burden of malnutrition.

Results

Anaemia was the most common form of household burden of malnutrition, affecting about seven out of ten households. Double and triple burden of malnutrition, though less common, was also found to be present in 8 and 5 % of the households, respectively. The age of the household head, location of the household, access to improved toilet facilities and household wealth status were found to be associated with various conditions of household burden of malnutrition.

Conclusions

The findings of the current study reveal that both double and triple burden of malnutrition is of public health concern in SSA, thus nutrition and health interventions in SSA must not be skewed towards addressing undernutrition only but also address overweight/obesity and anaemia.

SUBMITTER: Christian AK

PROVIDER: S-EPMC9991556 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Profiling household double and triple burden of malnutrition in sub-Saharan Africa: prevalence and influencing household factors.

Christian Aaron K AK Dake Fidelia Aa FA

Public health nutrition 20210426 6

<h4>Objective</h4>Undernutrition and anaemia (the commonest micronutrient deficiency), continue to remain prevalent and persistent in sub-Saharan Africa (SSA) alongside a rising prevalence of overweight and obesity. However, there has been little research on the co-existence of all three conditions in the same household in recent years. The current study examines the co-existence and correlates of the different conditions of household burden of malnutrition in the same household across SSA.<h4>S ...[more]

PMID: 33896443

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Project description:Despite concerns about the coexistence of overnutrition, undernutrition and micronutrient deficiencies, which is compositely referred to as the triple burden of malnutrition (TBM), little is known about the phenomenon in sub-Saharan Africa (SSA). We, therefore, aimed to examine the prevalence and investigate the factors associated with TBM in SSA. This study uses cross-sectional survey data collected through the Demographic and Health Surveys (DHS) Program from 2010 to 2019. Data from 32 countries in SSA were used for the analysis. The prevalence of TBM were presented in tables and maps using percentages. The predictors of TBM were examined by fitting a negative log-log regression to the data. The results were then presented using adjusted odds ratios (aORs) at 95% Confidence Intervals (CIs). Out of the 169,394 children, 734 (1%) suffered from TBM. The highest proportion of children with TBM in the four geographic regions in SSA was found in western Africa (0.75%) and the lowest in central Africa (0.21%). Children aged 1 [aOR = 1.283; 95% CI = 1.215-1.355] and those aged 2 [aOR = 1.133; 95% CI = 1.067-1.204] were more likely to experience TBM compared to those aged 0. TBM was less likely to occur among female children compared to males [aOR = 0.859; 95% CI = 0.824-0.896]. Children whose perceived size at birth was average [aOR = 1.133; 95% CI = 1.076-1.193] and smaller than average [aOR = 1.278; 95% CI = 1.204-1.356] were more likely to suffer from TBM compared to those who were larger than average at birth. Children born to mothers with primary [aOR = 0.922; 95% CI = 0.865-0.984] and secondary [aOR = 0.829; 95% CI = 0.777-0.885] education were less likely to suffer from TBM compared to those born to mothers with no formal education. Children born to mothers who attended antenatal care (ANC) had lower odds of experiencing TBM compared to those born to mothers who did not attend ANC [aOR = 0.969; 95% CI = 0.887-0.998]. Children born to mothers who use clean household cooking fuel were less likely to experience TBM compared to children born to mothers who use unclean household cooking fuel [aOR = 0.724; 95% CI = 0.612-0.857]. Essentially, higher maternal education, ANC attendance and use of clean cooking fuel were protective factors against TBM, whereas higher child age, low size at birth and being a male child increased the risk of TBM. Given the regional variations in the prevalence and risk of TBM, region-specific interventions must be initiated to ensure the likelihood of those interventions being successful at reducing the risk of TBM. Countries in Western Africa in particular would have to strengthen their current policies and programmes on malnutrition to enhance their attainment of the SDGs.

Project description:ObjectiveEnergy poverty contributes to the general well-being of households; however, there is representational paucity on its role in household nutrition across sub-Saharan Africa (SSA). This study examined the influence of different domains of energy poverty and a Multidimensional Energy Poverty Index (MEPI) on household burden of malnutrition in SSA.SettingSecondary data from the most recent Demographic and Health Survey conducted in 18 SSA countries were analysed.DesignA cross-sectional design was used to examine the relationship between household energy poverty and household burden of malnutrition.MethodsDifferent dimensions of household energy poverty and an MEPI were computed from the sources of energy used for cooking, lighting, entertainment and accessing information by households. Household burden of malnutrition was coded as a binary categorical dependent variable using indicators of undernutrition, overnutrition and anaemia among women of reproductive age (15-49 years) and children under five years in the household.ResultsMore than nine in ten households were energy poor in terms of cooking fuel and about three in four were energy poor in terms of lighting. Considering the various domains of energy poverty, lack of electricity for lighting, using biofuels, not owning a refrigerator/freezer, not owning a television/radio and not owning a mobile phone were associated with increased odds of a household experiencing undernutrition. Similarly, deprivation in these domains was associated with a lower likelihood of households experiencing overnutrition, the only exception being using biofuels. Overall, households that were most energy poor on the MEPI were more likely to be undernourished and double and triple burden malnutrition households but less likely to suffer from overnutrition.ConclusionThese results highlight the complex and multifaceted nature of the relationship between energy poverty and household burden of malnutrition and provides guidance for appropriate interventions to address energy poverty and malnutrition in SSA.

Project description:BackgroundThe ongoing nutrition transition in sub-Saharan Africa (SSA) is exhibiting spatial heterogeneity and temporal variability leading to different forms of malnutrition burden across SSA, with some regions exhibiting the double burden of malnutrition. This study aimed to develop a predictive understanding of the malnutrition burden among women of child-bearing age.MethodsData from 34 SSA countries were acquired from the Demographic and Health Survey, World Bank, and Swiss Federal Institute of Technology. The SSA countries were classified into malnutrition classes based on their national prevalence of underweight, overweight, and obesity using a 10% threshold. Next, random forest analysis was used to examine the association between country-level demographic variables and the national prevalence of underweight, overweight and obesity. Finally, random forest analysis and multinomial logistic regression models were utilized to investigate the association between individual-level social and demographic variables and Body Mass Index (BMI) categories of underweight, normal weight, and combined overweight and obesity.ResultsFour malnutrition classes were identified: Class A had 5 countries with ≥10% of the women underweight; Class B had 11 countries with ≥10% each of underweight and overweight; Class C1 had 7 countries with ≥10% overweight; and Class C2 had 11 countries with ≥10% obesity. At the country-level, fertility rate predicted underweight, overweight and obesity prevalence, but economic indicators were also important, including the gross domestic product per capita - a measure of economic opportunity that predicted both overweight and obesity prevalence, and the GINI coefficient - a measure of economic inequality that predicted both underweight and overweight prevalence. At the individual-level, parity was a risk factor for underweight in underweight burdened countries and a risk factor for overweight/obesity in overweight/obesity burdened countries, whereas age and wealth were protective factors for underweight but risk factors for overweight/obesity.ConclusionsBeyond the effect of economic indicators, this study revealed the important role of fertility rate and parity, which may represent risk factors for both underweight and combined overweight and obesity among women of child-bearing age. Health professionals should consider combining reproductive health services with nutritional programs when addressing the challenge of malnutrition in SSA.

Dataset Information

Profiling household double and triple burden of malnutrition in sub-Saharan Africa: prevalence and influencing household factors.

Objective

Setting

Participants

Design

Results

Conclusions

Publications

Profiling household double and triple burden of malnutrition in sub-Saharan Africa: prevalence and influencing household factors.

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