Demystifying the factors associated with rural-urban gaps in severe acute malnutrition among under-five children in low- and middle-income countries: a decomposition analysis

Working From Within: The Rural Community Participatory Design Framework

OBJECTIVE

This article describes the development of the rural community-based participatory design framework to guide healthcare design teams in their integration of rural community and clinical voice during the planning, design, and construction of a healthcare facility.

BACKGROUND

Rural communities are facing an alarming rate of healthcare facility closures, provider shortages, and dwindling resources, which are negatively impacting population health outcomes. A prioritized focus on rural care access and delivery requires design teams to have a deeper understanding of the contextual considerations necessary for a successful healthcare facility project, made possible through engagement and partnership with rural dwelling community members and healthcare teams.

METHOD

The rural community participatory design framework is adapted from the rural participatory research model, selected due to its capture of key concepts and characteristics of rural communities. Underpinning theories included rural nursing theory and theory of the built environment.

RESULTS

The framework encompasses healthcare facility project phases, key translational concepts, and common traits across rural communities and cultures. As a middle-range theoretical framework, it is being tested in a current healthcare project with a Critical Access Hospital in Montana to facilitate design team and stakeholder collaboration.

CONCLUSION

The rural community participatory design framework may be utilized by design teams as a means of familiarization with rural cultures, norms, values, and critical needs, which relate to meaningful design. The framework further enables design teams to critically appraise best practices of stakeholder engagement throughout the project lifecycle.

Nutrition policy or price stabilisation policy: which policy is more effective for nutrition outcomes?

BACKGROUND

Malnutrition remains a global problem and is increasing with the emergence of the COVID-19 pandemic. In Madagascar, half of the children under five years of age suffer from stunting. However, since 2006, vitamin A supplementation campaigns, deworming and free vaccinations have been implemented within the framework of the Mother and Child Health Week (MCHW) to strengthen the fight against micronutrient deficiencies and reduce mortality. On the other hand, rice, the staple food of the Malagasy population, can provide some of the micronutrients necessary for good nutrition. However, the country's rice production is still insufficient, and the price has been rising steadily in recent years. This has led the government to resort to the policy of stabilizing rice prices through imported rice in 2017 and 2018. The aim of this paper is therefore to analyse the effects of these policies on the prevalence of malnutrition among children under five years of age in Madagascar. Which policy would be more effective: the nutrition policy or the price stabilisation policy?

METHODS

Data from the Multiple Indicator Cluster Survey conducted by the National Institute of Statistics in 2018 are used, and logistic regressions for the analysis of the effects of nutrition policies on nutrition outcomes are performed. For the effect of price stabilisation policy, panel data on 22 regions of Madagascar from 2016 to 2019 are considered, and a fixed effect model is used.

RESULTS

We found that the effects of the nutrition policy are not immediately visible. Only participation in the 2016 MCHW contributes to a lower probability of malnutrition occurrence. The odds ratios of the effects of this participation on stunting are 0.69 (p-value: 0.05); on underweight: 0.70 (p-value < 0.01); and on wasting: 0.57 (p-value < 0.01). However, the participation rate remains very low. Then, there is no effect of the rice price stabilization policy on nutrition outcomes (0.00; p-value = 0.11).

CONCLUSIONS

Price stabilisation policy is not sufficient to fight against malnutrition, due to a lack of food diversification. These results suggest the need for a policy to ensure nutritional intake and to sensitize the population to participate in the MCHW.

TRIAL REGISTRATION

Not applicable.

An evolution of inequality of opportunity in the nutritional outcomes of under-five children in Malawi

Background

Malnutrition among children is a significant public health and development issue, especially in low- and middle-income countries, Malawi inclusive, which contributes to preventable diseases and deaths. Significant socioeconomic disparities persist, which affect access to and equal distribution of basic nutrition. This study analyzed the extent and trends of Inequality of Opportunity (IOP) in the nutritional outcomes of children aged 0-59 months.

Methods

The study used nationally representative data from the 2006, 2013-14, and 2019-20 Malawi Multiple Indicator Cluster Survey. In terms of method, we examined IOP in stunting, wasting, and underweight indicators, using the Human Opportunity Index and the Dissimilarity Index in 55,723 children. The Shapley-value technique decomposed the relative IOP.

Results

We find the largest share of circumstance-driven inequality in stunting (8.96 percent), followed by underweight (1.91 percent), and then wasting (0.90 percent). The Shapley-value decomposition results indicate the child's age (29.15 percent for stunting, 12.42 percent for underweight, and 52.36 percent for wasting) and gender (8.28 percent, 18.36 percent and 8.87 percent), wealth (6.36 percent, 22.87 percent and 8.54 percent), and mother's education (6.28 percent, 11.29 percent and 5.51 percent) as the dominant contributors to IOP for all three nutritional outcome indicators; stunting, underweight and wasting, respectively.

Conclusion

The findings suggest that policies aimed at narrowing the wealth and education inequality gap could help equalize nutrition opportunities for children in Malawi.

Trends in social determinants of inequality in child undernutrition from the Ethiopian Demographic and Health Surveys, 2005-2016

BACKGROUND

While child undernutrition has been eliminated in some middle-income countries, it remains highly prevalent in sub-Sahara African (SSA) and South Asian regions, and is disproportionately concentrated among the poor. In this study, we estimated trends in child undernutrition by social determinants and related risks from wealth inequality in Ethiopia, from 2005 to 2016.

METHOD

We analyzed data from three consecutive surveys (2005, 2011, and 2016) from the Ethiopian Demographic and Health Survey. First, we estimated trends in the prevalence of childhood undernutrition variables (stunting, underweight, and wasting) and social determinants (household wealth status, education level, place of residence, and administrative regions). Then we assessed evidence of undernutrition by wealth-related inequality with concentration curves (visual) and concentration indeces (quantitative). A multilevel mixed-effect Poisson regression model was used to identify predictors of undernutrition variables expressed as covariate-adjusted rate ratios, with 95% confidence intervals (RRs, 95%CI).

RESULT

A total of 23,934 mother-child pairs were obtained from the three surveys. The average prevalence decreased by 12.4 percentage points for stunting (from 50.8 to 38.4%, P<0.01), 9.5 percentage points for underweight (33.2% to23.7%, P<0.01), and 2.1 percentage points for wasting (12.2% to10.1%, P<0.01). There was persistent and statistically evidence of wealth inequality in stunting, underweight, and wasting (concentration indeces of -0.2 to -0.04, all P values <0.05). Stunting, underweight, and wasting variables were associated with male sex of the child (RR 0.94, 0.95, 0.85, all P-values <0.01) recent diarrhea (RR 1.18, 1.27, 1.37, all P-values <0.01), secondary education status of the mother (RR 0.66, 0.57, 0.61, all P-values < 0.057), increasing wealth index (richest) (RR 0.73, 0.70, 0.50, all P-values < 0.05), and having no toilet facility (RR 1.16, 1.22, 1.18, all P-values < 0.05).

CONCLUSION

Despite the decreased burden of stunting and underweight, the prevalence of wasting remained relatively unchanged in Ethiopia from 2005 to 2016. Moreover, wealth-related inequality in child undernutrition increased for most of the child undernutrition indicators during this period. Social determinants of child undernutrition warrant urgent implementation of strategies to reduce their health impacts in SSA.

Characterisation of populations at risk of sub-optimal dosing of artemisinin-based combination therapy in Africa

Selection of resistant malaria strains occurs when parasites are exposed to inadequate antimalarial drug concentrations. The proportion of uncomplicated falciparum malaria patients at risk of being sub-optimally dosed with the current World Health Organization (WHO) recommended artemisinin-based combination therapies (ACTs) is unknown. This study aims to estimate this proportion and the excess number of treatment failures (recrudescences) associated with sub-optimal dosing in Sub-Saharan Africa. Sub-populations at risk of sub-optimal dosing include wasted children <5 years of age, patients with hyperparasitaemia, pregnant women, people living with HIV, and overweight adults. Country-level data on population structure were extracted from openly accessible data sources. Pooled adjusted Hazard Ratios for PCR-confirmed recrudescence were estimated for each risk group from published meta-analyses using fixed-effect meta-analysis. In 2020, of the estimated 153.1 million uncomplicated P. falciparum malaria patients in Africa, the largest risk groups were the hyperparasitaemic patients (13.2 million, 8.6% of uncomplicated malaria cases) and overweight adults (10.3 million, 6.7% of uncomplicated cases). The estimated excess total number of treatment failures ranged from 0.338 million for a 98% baseline ACT efficacy to 1.352 million for a 92% baseline ACT efficacy. Our study shows that an estimated nearly 1 in 4 people with uncomplicated confirmed P. falciparum malaria in Africa are at risk of receiving a sub-optimal antimalarial drug dosing. This increases the risk of antimalarial drug resistance and poses a serious threat to malaria control and elimination efforts. Changes in antimalarial dosing or treatment duration of current antimalarials may be needed and new antimalarials development should ensure sufficient drug concentration levels in these sub-populations that carry a high malaria burden.

Status and correlates of non-communicable diseases among children and adolescents in slum and non-slum areas of India's four metropolitan cities

The emergence of non-communicable diseases (NCDs) in childhood poses a serious risk to a healthy adult life. The present study aimed to estimate the prevalence of NCDs among children and adolescents in slums and non-slums areas of four metropolitan cities of India, and in rural areas of the respective states The study further, investigated the effect of the place residence as slum vs. non-slum and other risk factors of the NCDs. Nationally representative data from the Comprehensive National Nutrition Survey (CNNS) was used.. Estimates were based on children (5-9 years) and adolescents (10-19 years) for whom biomarkers predicting diabetes, high total cholesterol, high triglycerides and hypertension were determined. Weight, height and age data were used to calculate z-scores of the body mass index. Overweight and obesity was higher in urban areas than in rural areas among children and adolescents. Regional differences in the prevalence of diseases were observed; children in Delhi and Chennai had a higher likelihood of being diabetic while children in Kolkata were at a greater risk of high total cholesterol and high triglycerides. The risk of hypertension was strikingly high among non-slum children in Delhi. Children from slums were at a higher risk of diabetes compared to the children from non-slums, while children and adolecents from non-slums were at a greater risk of high triglycerides and hypertension respectively than their counterparts from slums. Male children and adolecents had a higher risk of diabetes and high cholesterol. Screening of children for early detection of NCDs should be integrated with the already existing child and adolescent development schemes in schools and the community can help in prevention and control of NCDs in childhood.

Comparison of Malnutrition Indicators and Associated Socio-Demographic Factors among Children in Rural and Urban Public Primary Schools in South Africa

Most children in South Africa attending public schools are predisposed to malnutrition due to poor infrastructure and social inequality. This is despite the implementation of the National School Nutrition Programme to address barriers to learning associated with hunger and malnutrition and the National Development Plan to reduce child malnutrition through provision of social grants. In view of this, we compared malnutrition indicators and associated socio-demographic factors among children in rural Mpumalanga and urban Gauteng in South African public primary schools selected using a multistage cluster random sampling. A validated researcher-administered questionnaire was used to collect socio-demographic data of caregivers, along with primary school children data collected on age, sex, learning grade, and anthropometric measures. Malnutrition indicators, which are stunting (low height-for-age z-scores), underweight (low weight-for-age z-scores), thinness (low body-mass-index-for-age z-scores), and overweight/obesity (high body mass index) were computed using WHO Anthro Plus 1.0.4 and data were analyzed using Stata 18. A total of 903 children (rural = 390 and urban = 513) with a mean age of 10 ± 2 years in the foundation phase (learning grades one to three) and the intermediate learning phase (learning grades four to seven) participated with their caregivers (mean age: 39 ± 8 years). Significant levels of poor socio-demographic status were observed among caregivers living in the rural setting compared to in the urban setting. Overall, thinness (18%), stunting (12%), underweight (10%), and overweight/obesity (24%) were observed among school children. Children in the rural schools had a significantly higher prevalence of stunting (20% vs. 3%; p < 0.0001), underweight (17% vs. 2%; p < 0.0001) and thinness (28% vs. 7%; p < 0.001) than their urban counterparts. In the urban, the odds of stunting, underweight and thinness were less among school children, while overweight/obesity was twice as likely in the urban setting. The multivariate final model showed lower odds of underweight [adjusted odds ratio (AOR) = 0.16; 95% confidence interval (CI): 0.06-0.42] and stunting [AOR = 0.33; 95% CI: 0.13-0.87] in the urban compared to the rural schools. The association of stunting with sex [AOR =0.53; 95% CI: 0.30-0.94] and the intermediate learning phase [AOR = 7.87; 95% CI: 4.48-13.82] was observed in the rural setting, while thinness was associated with living in households with an income of USD 52.51 to USD 262.60/month [AOR = 2.89; 95% CI: 1.01-8.24] and receiving the child social grant [AOR = 2.49; 0.90-6.86] in the urban setting. Overweight/obesity was associated with living in a household with an income of USD 52.51 to USD 262.60/month [AOR = 1.80; 95% CI: 1.02-3.10]. The findings suggest nutritional intervention approaches that are accustomed to the context of settings to effectively tackle malnutrition.

Decomposition analysis of the decline in binary and triad undernutrition among preschool children in India

BACKGROUND

To examine the socio-demographic factors associated with the decline in undernutrition among preschool children in India from National Family Health Survey (NFHS)-3, 2005-06 to NFHS- 5, 2019-21.

METHODS

For this study data were obtained from India's nationally representative datasets such as NFHS-3 and NFHS-5. The outcome variables for this study were Binary undernutrition which were defined as the coexistence of anemia and either stunting or wasting and Undernutrition triad which were defined as the presence of Iron deficiency anemia, stunting and wasting, respectively. Decomposition analysis was used to study the factors responsible for a decline in undernutrition. This method was employed to understand how these factors contributed to the decline in undernutrition whether due to change in the composition (change in the composition of the population) or propensity (change in the health-related behaviour of the population) of the population over a period of 16 years.

RESULTS

Results showed that rate, which contributes 85.26% and 65.64%, respectively, to total change, was primarily responsible for a decline in both binary undernutrition and undernutrition triad. Reduction in Binary undernutrition was mainly explained by the change in the rate of education level of the mothers and media exposer during the inter-survey period. On the other hand, the decline in the Undernutrition triad can be explained by household wealth index, mother's education, birth order and a change in people's knowledge or practice about the preceding birth interval.

CONCLUSION

Identifying important factors and understanding their relationship with the decline of undernutrition can be beneficial for reorienting nutrition-specific policies to achieve the targets of the Sustainable Development Goals by 2030.

Exploring the impact of water, sanitation and hygiene (WASH), early adequate feeding and access to health care on urban-rural disparities of child malnutrition in China

To explore the effects of UNICEF-suggested modifiable factors, that is, water, sanitation and hygiene (WASH), early adequate feeding and health care on child malnutrition, and to examine the extent to which each factor contributes to urban-rural disparities of child malnutrition in China. Pooling two waves of regionally representative survey data from Jilin, China, in 2013 and 2018, we report on urban-rural relative risks (RRs) in the prevalence of child stunting, wasting and overweight. We employ Poisson regression to examine the effects of urban-rural setting and the three modifiable factors on the prevalence of each malnutrition outcome, that is, stunting, wasting and overweight. We perform mediation analyses to estimate the extent to which each modifiable factor could explain the urban-rural disparities in each malnutrition outcome. The prevalence of stunting, wasting and overweight were 10.9%, 6.3% and 24.7% in urban, and 27.9%, 8.2% and 35.9% in rural Jilin, respectively. The rural to urban crude RR was 2.55 (95% confidence interval [CI]: 1.92-3.39) for stunting, while the corresponding RRs for wasting and overweight were 1.31 (95% CI: 0.84-2.03) and 1.45 (95% CI: 1.20-1.76), respectively. The rural to urban RR for stunting reduced to 2.01 (95% CI: 1.44-2.79) after adjusting for WASH. The mediation analyses show that WASH could mediate 23.96% (95% CI: 4.34-43.58%) of the urban-rural disparities for stunting, while early adequate feeding and health care had no effects. To close the persistent urban-rural gap in child malnutrition, the specific context of rural China suggests that a multi-sectoral approach is warranted that focuses on the sanitation environment and other wider social determinants of health.

Greater Reduction in Stunting Than Underweight and Wasting in Indian Under-Five Children: A Comparison of Growth Indicators from 4 National Family Health Surveys

OBJECTIVE

To assess change in nutritional status in Indian under-five children from four rounds of national surveys (round 1 to 4).

METHODS

National Family Health Survey data from 4 rounds (1992-2016) were analyzed. Height and weight for age (HAZ, WAZ), and weight for height (WHZ) z scores were calculated. Children under -2 z score were classified as malnourished by HAZ, WAZ and WHZ.

RESULTS

A greater reduction in stunting (from 54 to 38%, p < 0.05) than in underweight (from 44 to 34%, p < 0.05) and wasting (from 19 to 20%, p > 0.1) status over the period of 4 NFHS rounds was observed from 1992 to 2016. In line with this, combination of improved height for age (-2.1 ± 1.8 to -1.5 ± 1.7) but relatively less improved weight for age (-1.8 ± 1.4 to -1.5 ± 1.2), the change in wasting status was either nil or meagre (-0.8 ± 1.4 to -0.9 ± 1.4), (p < 0.05 for all). The percentage of children malnourished by all 3 indicators together reduced from 9 to 6% (p < 0.05). At the 4th NFHS round, higher percentage of boys (8%) than girls (6%) and rural (7%) than urban (5%) children were malnourished by all 3 indicators (p < 0.05).

CONCLUSION

Greater reduction in stunting than underweight and wasting was observed over the period of 4 rounds. There is a need for more focused efforts to combat malnutrition in rural children and boys.

There is an urgent need for a global rural health research agenda

People living in rural areas generally experience adverse health outcomes compared to their urban counterparts. They experience a greater burden of non-communicable diseases including: diabetes, hypertension, stroke, kidney disease, and chronic obstructive pulmonary disease (COPD), have limited access to healthcare services, and experience scarcity in specialized healthcare services. The disproportionately high all-cause mortality experienced by rural residents has been termed "the rural mortality penalty". With over 90% of the world's rural population living in Africa and Asia, we argue that the lack of an authoritative and respected global rural health research agenda contributes to increasing health inequalities, given that many of these people are receiving substandard care. There are differences in how rural and urban resident's experience healthcare. Living in rural settings might not be systematically connected to adverse health outcomes. It is important to clearly articulate the positive health outcomes associated with living in rural settings (e.g., the positive relationship between mental health and strong social ties/green spaces). Indeed, health policies stand the chance of unconsciously excluding the positive outcomes associated with rurality, as well as the rural experiences of health. Defining rural health remains an issue of controversy with a persistent reality regarding the lack of consensus as to what it means for a region or area to be considered as "rural". We outline the most common definitions of "rural areas" in the literature, as well as the shortcomings of these definitions. By unpacking the meaning of "rural health", we aim to foster communication among rural health professionals and researchers locally and internationally, as well as highlight the key research and policy implications that could emanate from a "good" definition of rural health. We agree that context remains key when it comes conceptualizing complex subjects like rurality. However, developing minimum criteria to foster communication among rural health researchers is needed. Systematically providing operational definitions of what authors describe as "rural" in the rural health research and policy literature is of utmost relevance.

Determinants affecting utilisation of health services and treatment for children under-5 in rural Nepali health centres: a cross-sectional study

Background

Large inequalities in child health remain in Nepal, with caste, ethnicity and sex being major determinants of deprivation and negative outcomes. The purpose of this study was to explore whether key demographics of under 5s were associated with health seeking behaviours, utilisation of health care, and treatment received.

Methods

Data came from Integrated Management of Neonatal & Childhood Illness (IMNCI) records of 23 health centres across five districts. After digitising the paper records, the data was analysed by district, caste/ethnicity, sex, and age to investigate differences in the time taken to present at a health facility after the onset of symptoms of ARI, diarrhoea and fever; accuracy of diagnosis for pneumonia; and whether the correct treatment was prescribed for pneumonia as per IMNCI guidelines.

Results

From 116 register books spanning 23 health centres, 30,730 child patient records were considered for analysis. The median age of attendance was 18 months (Inter-Quartile Range = 10, 32), while were more male children that attended (55.7% vs. 44.3% for females). There were statistically significant differences for the time taken to attend a health centre between different districts for ARI, diarrhoea and fever, with children in the remote Humla and Mugu districts taking significantly longer to present at a health facility after the onset of symptoms (all p < 0.001, except Mugu for ARI days). Children from underprivileged ethnic groups, Madhesi and Dalit, were less likely to be given a correct diagnosis of pneumonia (p = 0.014), while males were more likely to receive a correct diagnosis than females (73% vs. 67%, p = 0.001). This sex difference remained in the adjusted regression models for diagnosis of pneumonia (p < 0.001) but not for treatment of pneumonia (p = 0.628). All districts, in comparison to Gorkha, had increased odds of correct diagnosis and treatment of pneumonia, but only significant in children from Mugu after adjustment (p ≤ 0.001).

Conclusion

Significant demographic differences were found based on ethnicity, sex, and district when examining health seeking behaviours for ARI, diarrhoea, and fever. Significant associations were seen for these same factors when exploring accuracy of diagnoses of pneumonia, but not for treatment. This study has emphasised the importance of a digitalised healthcare system, where inequalities can be identified without the reliance on anecdotal evidence.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14318-y.

Impact of Sociodemographic Features and Lifestyle on Cognitive Performance of Peruvian Adults

Background: Cognitive impairment and dementia may result from a combination of modifiable and nonmodifiable risk and protective factors, such as the environment, educational attainment, time devoted to cognitively stimulating activities, and physical activity. Objective: This study aimed to investigate the mediating role of sociodemographic characteristics and lifestyle factors in the years of education and cognitive performance in Peruvian adults. Methods: This cross-sectional study included 1,478 subjects assessed by Addenbrooke’s Cognitive Examination Revised (ACE-R). Using mediation models, we evaluated the mediation role of parents’ educational level, reading time (RT), and physical activity time (PAT) in the years of education (IYE) and cognitive performance. Results: People who reported having lived in an urban area during their childhood are estimated to have, on average, 2.085 years more formal education than those who lived in rural areas. In addition, 49% of cognitive performance scores are explained by the mediation effect of reading and physical activity time in the IYE. This implies that higher levels of education, mediated by RT and PAT per week, are 1.596 units associated with higher scores on the ACE-R. Conclusion: Despite the fact that nonmodifiable factors (i.e., childhood residence area, parents’ educational level) seem to exert an effect on older adults’ cognition, their influence is mediated by other factors that are indeed modifiable (i.e., reading time, physical activity engagement). In this sense, lifestyle changes could help prevent or decrease the risk of cognitive impairment and reduce the disease’s impact on vulnerable environments in Latin American and Caribbean countries.

Prevalence of malnutrition and associated factors among children aged 6–24 months under poverty alleviation policy in Shanxi province, China: A cross-sectional study

Introduction

Child malnutrition continues to be a major public health issue, accounting for 54% of all child mortality globally. This study aimed to determine the prevalence of childhood malnutrition and its associated risk factors as well as to explore the best developmental strategy among infants and young children (IYC).

Methodology

This cross-sectional study was conducted six months after the distribution of nutritious YingYangBao (YYB). It involved children aged 6–24 months in Shaanxi Province, China. Data were collected via interviews with parents of IYC, followed by measurements of the children's height and weight. Data were analyzed using EpiInfo software and SPSSv.26, which encompassed descriptive statistics, Pearson Chi-square, and multivariate logistic regression analysis. Ethics approval and parents' informed consent were attained prior to the study.

Result

A total of 3431 data were analyzed in the study. The prevalence of stunting was highest among IYC between 12 and 18 months (3.9%). Prevalence of underweight (0.5%) and wasting (1.5%) were highest among IYC aged 18–24 months while the prevalence of overweight was highest among IYC aged 6–12months (9.0%). Significant associating risk factors of malnutrition were IYC from Northern Shaanxi (aOR = 2.24; 95%CI:1.68–2.98) and mothers with parity ≥3 (aOR = 1.52; 95%CI:1.10–2.10). IYC with a higher educated father (aOR = 0.79; 95%CI:0.66–0.95), YYB intervention (aOR = 0.77; 95%CI:0.65–0.90), correct supplementary food time (aOR = 0.84; 95%CI:0.71–1.00) and separate supplementary food preparation (aOR = 0.79; 95%CI:0.66–0.95) were significantly associated with lower risk of malnutrition.

Conclusion

Even though the prevalence of stunting, underweight, and wasting were relatively low (<5%), there is still a need to strengthen existing policies on child nutrition.

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Child malnutrition remains a public health issue.

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Child malnutrition accounts for 54% of all child mortality globally.

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It is vital to identify the prevalence and risk factors of child malnutrition.

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Implementation of targeted guidance and comprehensive interventions are necessary.

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Enhancing existing nutrition policies to improve children's growth and development.

Reporting of health equity considerations in equity-relevant observational studies: Protocol for a systematic assessment

Background: The mitigation of unfair and avoidable differences in health is an increasing global priority. Observational studies including cohort, cross-sectional and case-control studies tend to report social determinants of health which could inform evidence syntheses on health equity and social justice. However, the extent of reporting and analysis of equity in equity-relevant observational studies is unknown. Methods: We define studies which report outcomes for populations at risk of experiencing inequities as “equity-relevant”. Using a random sampling technique we will identify 320 equity-relevant observational studies published between 1 January 2020 to 27 April 2022 by searching the MEDLINE database. We will stratify sampling by 1) studies in high-income countries (HIC) and low- and middle-income countries (LMIC) according to the World Bank classification, 2) studies focused on COVID and those which are not, 3) studies focused on populations at risk of experiencing inequities and those on general populations that stratify their analyses. We will use the PROGRESS framework which stands for place of residence, race or ethnicity, occupation, gender or sex, religion, education, socioeconomic status, social capital, to identify dimensions where inequities may exist. Using a previously developed data extraction form we will pilot-test on eligible studies and revise as applicable. Conclusions: The proposed methodological assessment of reporting will allow us to systematically understand the current reporting and analysis practices for health equity in observational studies. The findings of this study will help inform the development of the equity extension for the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) reporting guidelines.

Factors contributing to household wealth inequality in under-five deaths in low- and middle-income countries: decomposition analysis

BACKGROUND

The burden of under-5 deaths is disproportionately high among poor households relative to economically viable ones in developing countries. Despite this, the factors driving this inequality has not been well explored. This study decomposed the contributions of the factors associated with wealth inequalities in under-5 deaths in low- and middle-income countries (LMICs).

METHODS

We analysed data of 856,987 children from 66,495 neighbourhoods across 59 LMICs spanning recent Demographic and Health Surveys (2010-2018). Under-5 mortality was described as deaths among live births within 0 to 59 months of birth and it was treated as a dichotomous variable (dead or alive). The prevalence of under-five deaths was stratified using household wealth status. A Fairlie decomposition analysis was utilized to investigate the relative contribution of the factors associated with household wealth inequality in under-5 deaths at p<0.05. The WHO health equity assessment toolkit Plus was used to assess the differences (D) ratios (R), population attributable risk (PAR), and population attributable fraction (PAF) in household wealth inequalities across the countries.

RESULTS

The proportion of children from poor households was 45%. The prevalence of under-5 deaths in all samples was 51 per 1000 children, with 60 per 1000 and 44 per 1000 among children from poor and non-poor households (p<0.001). The prevalence of under-5 deaths was higher among children from poor households than those from non-poor households in all countries except in Ethiopia, Tanzania, Zambia, Lesotho, Gambia and Sierra Leone, and in the Maldives. Thirty-four of the 59 countries showed significantly higher under-5 deaths in poor households than in non-poor households (pro-non-poor inequality) and no significant pro-poor inequality. Rural-urban contexts, maternal education, neighborhood socioeconomic status, sex of the child, toilet kinds, birth weight and preceding birth intervals, and sources of drinking water are the most significant drivers of pro-poor inequities in under-5 deaths in these countries.

CONCLUSIONS

Individual-level and neighbourhood-level factors were associated with a high prevalence of under-5 deaths among poor households in LMICs. Interventions in countries should focus on reducing the gap between the poor and the rich as well as improve the education and livelihood of disadvantaged people.

Interplay of Water–Energy Security and Food Consumption Patterns towards Achieving Nutrition Security in Katsina State, North-Western Nigeria

Everyone has the right to secure water, energy, and food supplies. These essential resources are stressed in many countries. With the current population growth rate and urbanisation, especially in sub-Saharan Africa, there is a need for more food, water, and energy to sustain the increasing population. The aim of this study was to assess the inter-relationship among water and energy in various urban and rural households to support food and nutrition security. Considering the social-economic peculiarities of the region, a specific framework and questionnaire were developed for the study. A survey involving 1785 questionnaires was conducted. Urban and rural stratification methods were used in selecting settlements across the regions. The household’s nutritional status was measured in relation to protein-rich foods as well as vegetable and fruit consumption. In addition to the Person’s correlation coefficient, which was applied to measure the association between two categories of food consumption, the chi-squared test of interdependence to determine the effect of the urban–rural dichotomy on resource utilisation was calculated. The findings indicate a high risk of undernourishment associated with insufficient sources of water and energy, as well as inappropriate sanitation facilities, especially in rural communities.

Clean water, sanitation and under-five children diarrhea incidence: Empirical evidence from the South Africa's General Household Survey

Sufficient supply of potable water, hygiene facilities, and sanitation are major factors enhancing healthy living. Using the dataset from the 2018 South Africa General Household Survey, this study employed the logistic regression model to examine the effects of accessibility to potable water and sanitation on the incidence of diarrhea among under-five children. The findings from the research reveal that the majority of children have access to safe drinking water, although a substantial percentage (32%) of the households had to pay for access. The results of the logistic regression model show that households with access to clean water, to improved toilet facilities, and to water within their residence are less likely to record incidence of diarrhea among under-five children. Moreso, the likelihood of reporting diarrhea among the children decreases with the age of children and the age of household heads. Therefore, to contribute to the designing policies targeted at reducing the incidence of diarrhea among children, this study emphasized that the availability and accessibility of clean water, water-storage facilities, and improved fecal discharge facilities among the South African households are key.

Rural and Urban Correlates of Stunting Among Under-Five Children in Sierra Leone: A 2019 Nationwide Cross-Sectional Survey

Background

Undernutrition accounts for at least 50% of the annual global under-five mortality burden. Although disparities in the childhood stunting between urban and rural areas in Sierra Leone have been documented, information on factors associated with these differences is lacking. We aimed to determine rural-urban correlates of stunting among children under the age of 5 in Sierra Leone.

Methods

We analyzed data from 2019 Sierra Leone demographic and health survey (SLDHS) focusing on under-five children. We conducted multivariable logistic regression to examine rural-urban factors associated with childhood stunting.

Results

Prevalence of stunting was 31.6% (95% CI 29.8-33.2) in rural areas and 24.0% (95% CI 21.6-26.1) in urban areas. Within the rural areas, children of stunted mothers (aOR = 2.37; 95% CI 1.07-5.24, P < .05), younger mothers aged 15 to 19 years (aOR = 2.08; 95% CI 1.17-3.69, P < .05), uneducated mothers (aOR = 1.87; 95% CI 1.28-2.71, P < .01), as well as older children (24-59 months) (aOR = 1.83; 95% CI 1.48-2.27, P < .001), and boys (aOR = 1.37; 95% CI 1.12-1.66, P < .01) were more likely to be stunted compared to those of non-stunted, older, post-primary education mothers and those who were less than 24 months and girls respectively. While urban children whose fathers had lower education (aOR = 1.94; 95% CI 1.10-3.42, P < .05), whose mothers were more parous (para 2-4) (aOR = 1.74; 95% CI 1.03-2.95, P < .05), and boys (aOR = 1.48; 95% CI 1.06-2.08, P < .05) were more likely to be stunted compared to their counterparts with fathers that had tertiary education, mothers of low parity and girls, respectively.

Conclusions

Stunting is more prevalent in the rural areas compared to the urban areas. Sex of the child was the only significant factor in both rural and urban areas. Our study findings suggest that programs designed to reduce stunting should aim for integrated yet context specific interventions in rural and urban areas.

Hierarchical disentanglement of contextual from compositional risk factors of diarrhoea among under-five children in low- and middle-income countries

Several studies have documented the burden and risk factors associated with diarrhoea in low and middle-income countries (LMIC). To the best of our knowledge, the contextual and compositional factors associated with diarrhoea across LMIC were poorly operationalized, explored and understood in these studies. We investigated multilevel risk factors associated with diarrhoea among under-five children in LMIC. We analysed diarrhoea-related information of 796,150 under-five children (Level 1) nested within 63,378 neighbourhoods (Level 2) from 57 LMIC (Level 3) using the latest data from cross-sectional and nationally representative Demographic Health Survey conducted between 2010 and 2018. We used multivariable hierarchical Bayesian logistic regression models for data analysis. The overall prevalence of diarrhoea was 14.4% (95% confidence interval 14.2–14.7) ranging from 3.8% in Armenia to 31.4% in Yemen. The odds of diarrhoea was highest among male children, infants, having small birth weights, households in poorer wealth quintiles, children whose mothers had only primary education, and children who had no access to media. Children from neighbourhoods with high illiteracy [adjusted odds ratio (aOR) = 1.07, 95% credible interval (CrI) 1.04–1.10] rates were more likely to have diarrhoea. At the country-level, the odds of diarrhoea nearly doubled (aOR = 1.88, 95% CrI 1.23–2.83) and tripled (aOR = 2.66, 95% CrI 1.65–3.89) among children from countries with middle and lowest human development index respectively. Diarrhoea remains a major health challenge among under-five children in most LMIC. We identified diverse individual-level, community-level and national-level factors associated with the development of diarrhoea among under-five children in these countries and disentangled the associated contextual risk factors from the compositional risk factors. Our findings underscore the need to revitalize existing policies on child and maternal health and implement interventions to prevent diarrhoea at the individual-, community- and societal-levels. The current study showed how the drive to the attainment of SDGs 1, 2, 4, 6 and 10 will enhance the attainment of SDG 3.

Global, regional and national epidemiology and prevalence of child stunting, wasting and underweight in low- and middle-income countries, 2006-2018

In 2016, undernutrition, as manifested in childhood stunting, wasting, and underweight were estimated to cause over 1.0 million deaths, 3.9% of years of life lost, and 3.8% of disability-adjusted life years globally. The objective of this study is to estimate the prevalence of undernutrition in low- and middle-income countries (LMICs) using the 2006-2018 cross-sectional nationally representative demographic and health surveys (DHS) data and to explore the sources of regional variations. Anthropometric measurements of children 0-59 months of age from DHS in 62 LMICs worldwide were used. Complete information was available for height-for-age (n = 624,734), weight-for-height (n = 625,230) and weight-for-age (n = 626,130). Random-effects models were fit to estimate the pooled prevalence of stunting, wasting, and underweight. Sources of heterogeneity in the prevalence estimates were explored through subgroup meta-analyses and meta-regression using generalized linear mixed-effects models. Human development index (a country-specific composite index based on life expectancy, literacy, access to education and per capita gross domestic product) and the United Nations region were explored as potential sources of variation in undernutrition. The overall prevalence was 29.1% (95% CI 26.7%, 31.6%) for stunting, 6.3% (95% CI 4.6%, 8.2%) for wasting, and 13.7% (95% CI 10.9%, 16.9%) for underweight. Subgroup analyses suggested that Western Africa, Southern Asia, and Southeastern Asia had a substantially higher estimated prevalence of undernutrition than global average estimates. In multivariable meta-regression, a combination of human development index and United Nations region (a proxy for geographical variation) explained 54%, 56%, and 66% of the variation in stunting, wasting, and underweight prevalence, respectively. Our findings demonstrate that regional, subregional, and country disparities in undernutrition remain, and the residual gaps to close towards achieving the second sustainable development goal-ending undernutrition by 2030.

Mind the gap: What explains the poor-non-poor inequalities in severe wasting among under-five children in low- and middle-income countries? Compositional and structural characteristics

A good understanding of the poor-non-poor gap in childhood development of severe wasting (SW) is a must in tackling the age-long critical challenge to health outcomes of vulnerable children in low- and middle-income countries (LMICs). There is a dearth of information about the factors explaining differentials in wealth inequalities in the distribution of SW in LMICs. This study is aimed at quantifying the contributions of demographic, contextual and proximate factors in explaining the poor-non-poor gap in SW in LMICs. We pooled successive secondary data from the Demographic and Health Survey conducted between 2010 and 2018 in LMICs. The final data consist of 532,680 under-five children nested within 55,823 neighbourhoods from 51 LMICs. Our outcome variable is having SW or not among under-five children. Oaxaca-Blinder decomposition was used to decipher poor-non-poor gap in the determinants of SW. Children from poor households ranged from 37.5% in Egypt to 52.1% in Myanmar. The overall prevalence of SW among children from poor households was 5.3% compared with 4.2% among those from non-poor households. Twenty-one countries had statistically significant pro-poor inequality (i.e. SW concentrated among children from poor households) while only three countries showed statistically significant pro-non-poor inequality. There were variations in the important factors responsible for the wealth inequalities across the countries. The major contributors to wealth inequalities in SW include neighbourhood socioeconomic status, media access, as well as maternal age and education. Socio-economic factors created the widest gaps in the inequalities between the children from poor and non-poor households in developing SW. A potential strategy to alleviate the burden of SW is to reduce wealth inequalities among mothers in the low- and middle-income countries through multi-sectoral and country-specific interventions with considerations for the factors identified in this study.

Understanding the Improvement in Full Childhood Vaccination Coverage in Ethiopia Using Oaxaca-Blinder Decomposition Analysis

In Ethiopia, full vaccination coverage among children aged 12–23 months has improved in recent decades. This study aimed to investigate drivers of the improvement in the vaccination coverage. The Oaxaca–Blinder decomposition technique was applied to identify the drivers using data from Ethiopian Demographic and Health Survey conducted in 2000 and 2016. The vaccination coverage rose from 14.3% in 2000 to 38.5% in 2016. The decomposition analysis showed that most of the rise in vaccination coverage (73.7%) resulted from the change in the effect of explanatory variables over time and other unmeasured characteristics. Muslim religion had a counteracting effect on the observed increase in vaccination coverage. The remaining 26.3% of the increase was attributed to the change in the composition of the explanatory variables between 2000 and 2016, with maternal educational level and maternal health care utilization as significant contributors. The findings highlight the need for further improvements in maternal health care utilization and educational status to maintain the momentum towards universal coverage of childhood vaccination. Targeted intervention among Muslim-dominated communities is also needed to improve the current situation. Besides which, future studies need to be conducted to identify additional potential modifiable factors.