Past drivers of and priorities for child undernutrition in South Asia: a mixed methods systematic review protocol

In-utero exposure to multiple air pollutants and childhood undernutrition in India

BACKGROUND

Several studies have been conducted to understand the impact of socioeconomic and maternal factors on child undernutrition. However, the past literature has not directly examined the joint impacts of fuel use and ambient pollution and have primarily focused on PM2.5.

OBJECTIVE

This study explored the individual and community-level associations of both indoor (cooking fuel type) and ambient air pollution (PM2.5, NO2 and SO2) during maternal gestation on child undernutrition.

METHODS

This study analysed stunting, being underweight, and anaemia of children aged 0-59 months (n = 259,627) using the National Family Health Survey. In-utero exposures to ambient PM2.5, NO2, and SO2 were measured using satellite data and self-reported fuel type was a marker of indoor pollution exposure. The study used univariate and bivariate Moran's I, spatial lag model and multivariable logistic regression models after adjusting for other covariates to understand the effect of pollution on in-utero exposure and child health status at the individual and community-levels.

RESULTS

Higher concentration of indoor and ambient air pollution was found in the Northern and parts of Central regions of India. Estimates of spatial modelling show that each 1 μg/m-3 increase in maternal exposure to ambient PM2.5 across the clusters of India was associated with a 0.11, 9 and 19 percentage points increase in the prevalence of stunting, underweight and anaemia, respectively. The results of multi-pollutant model show that a higher ambient PM2.5 exposure during pregnancy was linked to higher odds of stunting (AOR:1.38; 95% CI:1.32-1.44), underweight (AOR:1.59; 95% CI:1.51-1.67) and anaemia (AOR:1.61; 95% CI:1.52-1.69) in children. Weaker but similar associations were observed for NO2, but not with SO2. Indoor pollution exposure during in-utero periods was also significantly associated with childhood undernutrition and this association was modified by ambient PM2.5 levels, where exposure to both indoor and ambient air pollution had even greater odds of being undernourished.

IMPACT STATEMENT

Our research on multi-pollutant models has revealed the initial proof of the individual impacts of indoor and outdoor pollution (PM2.5, NO2, and SO2) exposure during fetal development on children's nutrition.

Association among Household Wealth, Maternal Employment, and Undernutrition in Children under Three Years of Age in Pakistan

BACKGROUND

There is an abundance of studies explaining the separate impact of female employment and household wealth status in reducing malnutrition. However, our study has unraveled the combined impact of maternal employment and household wealth on undernutrition among children under three in Pakistan.

METHODS

Using a sample of 1093 children under three years of age from the Pakistan Demographic and Health Survey 2017-2018, a binary logistic model was employed to gauge factors influencing the children's undernutrition.

RESULTS

Our results indicated that children up to a certain age (three years old) with residence in certain regions (Pakistan) and recent episodes of diarrhea had an increased risk of undernutrition. Conversely, secondary and higher maternal education, access to improved water sources, and sanitation facilities lowered the chances of undernutrition in children under three in Pakistan. The interaction between maternal employment and household wealth showed that maternal employment significantly lowered the risk of stunting, being underweight, and wasting among the average, rich, and richest households; however, it did not contribute to child nutrition among the poorer and poor households. Notably, regardless of whether the mother was employed, the wealth status of being rich and richest reduced the risk of stunting, being underweight, and wasting.

CONCLUSIONS

In overcoming undernutrition, maternal employment significantly contributed to middle-income households. However, in the richer and richest households, the wealth status played a more crucial role compared to the maternal employment. This indicates that while employment plays a supportive role in household resources, the wealth status is overall more influential in reducing undernutrition.

Association of Child Growth Failure Indicators With Household Sanitation Practices in India (1998-2021): Spatiotemporal Observational Study

BACKGROUND

Undernutrition among children younger than 5 years is a subtle indicator of a country's health and economic status. Despite substantial macroeconomic progress in India, undernutrition remains a significant burden with geographical variations, compounded by poor access to water, sanitation, and hygiene services.

OBJECTIVE

This study aimed to explore the spatial trends of child growth failure (CGF) indicators and their association with household sanitation practices in India.

METHODS

We used data from the Indian Demographic and Health Surveys spanning 1998-2021. District-level CGF indicators (stunting, wasting, and underweight) were cross-referenced with sanitation and sociodemographic characteristics. Global Moran I and Local Indicator of Spatial Association were used to detect spatial clustering of the indicators. Spatial regression models were used to evaluate the significant determinants of CGF indicators.

RESULTS

Our study showed a decreasing trend in stunting (44.9%-38.4%) and underweight (46.7%-35.7%) but an increasing prevalence of wasting (15.7%-21.0%) over 15 years. The positive values of Moran I between 1998 and 2021 indicate the presence of spatial autocorrelation. Geographic clustering was consistently observed in the states of Madhya Pradesh, Jharkhand, Odisha, Uttar Pradesh, Chhattisgarh, West Bengal, Rajasthan, Bihar, and Gujarat. Improved sanitation facilities, a higher wealth index, and advanced maternal education status showed a significant association in reducing stunting. Relative risk maps identified hotspots of CGF health outcomes, which could be targeted for future interventions.

CONCLUSIONS

Despite numerous policies and programs, malnutrition remains a concern. Its multifaceted causes demand coordinated and sustained interventions that go above and beyond the usual. Identifying hotspot locations will aid in developing control methods for achieving objectives in target areas.

Cross-cultural adaptation and validation of the medical outcome study social support survey among mothers of children aged 6-23 months in Indonesia

BACKGROUND

Social support significantly influences a mother's adherence to complementary feeding guidelines, with family support fostering a positive attitude towards this practice. The Medical Outcome Study Social Support Survey (MOS-SSS) is a multidimensional scale designed to evaluate functional aspects of social support, but no instrument has been validated for Indonesia.

PURPOSE

The study aims to validate the MOS-SSS instrument for measuring mothers' social support in providing complementary food to infants and young children aged 6-23 months in Indonesia.

METHODS

A cross-sectional survey was conducted on 196 mothers with children aged 6-23 months in West Sumatera, Indonesia. The MOS-SSS's internal consistency was assessed using Cronbach alpha, composite reliability, and split-half analysis, while its construct validity was evaluated using convergent and discriminant validity.

RESULTS

The Indonesian version of the MOS-SSS among mothers with children aged 6-23 months has been found to be satisfactory in content validity through translation and expert review. The questionnaire exhibits strong convergent and discriminant validity, reliable construct reliability, and internal consistency.

CONCLUSIONS AND IMPLICATIONS

The MOS-SSS questionnaire was found to be reliable and valid in measuring the social support mothers perceive in providing complementary feeding to their infants and young children. Future research should explore the psychometric properties of the Indonesian version of the MOS-SSS in various populations, including pregnant women, lactating mothers, and women with special conditions.

Multilevel Bayesian network to model child morbidity using Gibbs sampling

Bayesian networks (BNs) are suitable models for studying complex interdependencies between multiple health outcomes, simultaneously. However, these models fail the assumption of independent observation in the case of hierarchical data. Therefore, this study proposes a two and three-level random intercept multilevel Bayesian network (MBN) models to study the conditional dependencies between multiple outcomes. The structure of MBN was learned using the connected three parent set block Gibbs sampler, where each local network was included based on Bayesian information criteria (BIC) score of multilevel regression. These models were examined using simulated data assuming features of both multilevel models and BNs. The estimated area under the receiver operating characteristics for both models were above 0.8, indicating good fit. The MBN was then applied to real child morbidity data from the 2016 Ethiopian Demographic Health Survey (EDHS). The result shows a complex causal dependencies between malnutrition indicators and child morbidities such as anemia, acute respiratory infection (ARI) and diarrhea. According to this result, families and health professionals should give special attention to children who suffer from malnutrition and also have one of these illnesses, as the co-occurrence of both can worsen the health of a child.

Prevalence and factors associated with undernutrition among children under the age of five years in Benin

BACKGROUND

Benin ranks as one of the countries in the world with an alarmingly high prevalence of stunting, wasting, and underweight in children under five years. However, limited studies have examined the factors associated with the prevalence of these undernutrition indicators among children under five years in the country. This study aimed to fill this research gap by examining the prevalence rates and factors associated with stunting, wasting, and underweight among this specific population of interest.

METHODS

This quantitative study utilised data from the most recent Benin Demographic and Health Survey (BDHS) conducted in 2017-18. The survey employed a nationally representative cross-sectional design and utilised a two-stage stratified cluster sampling technique to select participants. The study included a sample of 13,589 children under the age of five years. The main analytical approach employed was binary logistic regression, which was used to explore the associations between undernutrition (the combined outcome variable representing stunting, wasting, and underweight) and various socio-demographic factors.

RESULTS

The combined prevalence of stunting, wasting, and underweight among children under five years in Benin during the 2017-18 survey period was 14.95%. Several factors were significantly associated with these indicators of undernutrition, including female gender (AOR = 0.71, 95% CI = 0.59-0.85), birth weight of 4.1 kg and over (AOR = 0.26, 95% CI = 0.14-0.48), multiple births (AOR = 3.22, 95% CI = 2.11-4.91), and a child's experience of diarrhoea (AOR = 1.76, 95% CI = 1.40-2.20). Furthermore, the prevalence of these undernutrition indicators was higher among children whose mothers had lower levels of education (AOR = 0.82, 95% CI = 0.01-0.42) and were unmarried (AOR = 0.67, 95% CI = 0.49-0.93).

CONCLUSIONS

This present study confirms that undernutrition rates are elevated in Benin and are closely linked to perinatal factors such as birth weights and multiple births, postnatal health conditions including diarrheal episodes, and socio-demographic determinants such as a child's gender, maternal education level, and marital status. Therefore, there is the need to consider specific modifiable factors, such as low birth weight, episodes of child diarrhoea, and maternal education as priority targets for child nutrition interventions in Benin.

Factors associated with appropriate complementary feeding: A scoping review

PROBLEM

Childhood stunting becomes a vital point of an underlying problem in early life. Appropriate and adequate complementary feeding is necessary for children to prevent malnutrition and introduce healthy eating habits. Knowledge of factors related to complementary feeding practices is needed to design strategies that improve optimal complementary feeding and avoid malnutrition in children. However, factors related to appropriate complementary feeding practices have not been systematically examined; hence, the present study aims to synthesize the available evidence on factors associated with proper complementary feeding practices.

METHODS

A scoping review was conducted. Five databases were searched for relevant studies, including Medline, Embase, Cochrane, CINAHL, and Web of Science. The studies selected for review were those published in English from 2009 to 2022 on complementary feeding practices and related factors, measuring at least three complementary feeding indicators, and available in full text. The criteria resulted in 30 eligible articles that were selected, extracted, and then analyzed using descriptive and content analysis.

FINDING

Factors associated with complementary feeding practice include maternal factors (knowledge, attitude, self-efficacy, parity, antenatal care visit, place of delivery, and postnatal check-up), socio-environmental factors (age, educational level, income, employment status, residence, household size, mother's ethnicity, and support) and informational factors (exposure to media, source of information and intervention).

CONCLUSION AND IMPLICATION

Maternal, socio-environmental, and informational factors are associated with appropriate complementary feeding in infants and young children. Further research is necessary to identify causal relationships between the three groups of factors and complementary feeding practices.

Text messages to improve child diets: Formative research findings and protocol of a randomised controlled trial in Nepal

Given the role of malnutrition in childhood morbidity and mortality, the prioritisation of maternal and child nutrition programmes has grown significantly in the 21st century. Policies and programmes aim to improve infant and young child feeding, but questions persist about the most effective combination of interventions to achieve desired behaviour change. There is increasing interest in mobile-based interventions globally, but scant evidence exists to guide donors, policymakers and programme implementers on their effectiveness. Formative research was conducted to assess the feasibility and acceptance of text message-based interventions and to guide the final design of the text message intervention. This protocol is for a cluster-randomised controlled trial to test the effectiveness of adding text messaging to other ongoing SBC interventions to promote egg consumption, dietary diversity and other ideal dietary practices, particularly among children 12-23 months of age in Kanchanpur, Nepal. The trial findings will contribute to the emerging body of evidence on the effectiveness of using text messages for behaviour change, specifically for young child dietary outcomes in South Asia. Recent studies have suggested that mobile-based interventions alone may be insufficient but valuable when added to other social and behavioural interventions; this trial will help to provide evidence for or against this emerging theory. This trial was registered at ClinicalTrials.gov on 11 March 2019 (ID: NCT03926689) and has been updated twice.

Distance to Healthcare Facility and Lady Health Workers’ Visits Reduce Malnutrition in under Five Children: A Case Study of a Disadvantaged Rural District in Pakistan

This study accesses the impact of lady health worker (LHWs) visits in the community and distance to a healthcare facility on the nutritional status of under-five children. Additionally, it explores the perceptions and attitudes of the community about the performance of LHWs. A self-administered instrument was applied to gather data on different parameters, such as children’s height, age, weight, and socioeconomic status from 384 rural households in a marginalized district of Punjab province with the help of a purposive random sampling technique. The binary logistic regression model was employed for the computation of the probability of malnutrition. The prevalences of stunting, underweight children, and wasting in the district were 34.8%, 46.1%, and 15.5%, respectively. The logistic results illustrate that those households in which LHW visits occur regularly within 15 days (OR = 0.28 with 95% CI: 0.09–0.82) have a lower probability of malnutrition prevalence among their children. The distance to the health facility shows that the odds of malnutrition were higher from 3–4 Kilometers (Km) (OR = 2.61, 95% CI: 0.85–8.14), and odds were also higher for the ≥5 km category (OR = 2.88, 95% CI: 0.94–8.82). Children from richer families had lower chances of being malnourished (OR = 0.28, 95% CI: 0.07–1.14). Furthermore, the respondents show a positive attitude towards LHWs. They have given the first rank to their performance being beneficial to mothers and childcare, especially on checkups and safe deliveries, while they have shown negative responses and given lower ranks to their performance due to irregular visits (6th rank) and poor community awareness (7th rank). We conclude that LHWs’ regular visits to targeted households and less distance to healthcare facilities reduce the malnutrition risk in under-five children.

Socio-Economic and Environmental Determinants of Malnutrition in under Three Children: Evidence from PDHS-2018

OBJECTIVES

This research investigates the association of malnutrition with social and economic factors in general and environmental factors in specific such as sanitation facilities and drinking water sources for Pakistan.

METHODS

Authors used the latest data of 1010 Under-Three children from Pakistan Demographic and Health Survey (PDHS) 2017-2018. Cumulative Index of Anthropometric Failure (CIAF) was developed to measure the malnutrition status among children based on z-scores of WHZ, WAZ, and HAZ, respectively. The study has applied the discrete-choice logistic methodology to find the relationship of malnutrition with socio-economic characteristics. The interaction terms of drinking water source and sanitation facility have been measured to see the impact of environmental factors on child malnutrition.

RESULTS

The study results depict that the likelihood of malnutrition increases when the child had diarrhea recently and the child belongs to the deprived region such as KPK, Sind, and Baluchistan. However, the chances of child malnutrition drop with (1) an escalation of mothers' education, (2) a rise in wealth status of the household, and (3) the improved water source and sanitation facility in the household. The only water-improved sanitation category of the interaction term is significant in the model which depicts that households having both improved water and improved sanitation facilities had very fewer chances of malnutrition among their children.

CONCLUSION

Authors conclude that malnutrition in younger children is associated with improved water as well as sanitation facilities, maternal education, and household wealth in Pakistan.

Prevalence, Trends, and Socioeconomic Determinants of Coexisting Forms of Malnutrition Amongst Children under Five Years of Age in Pakistan

In Pakistan, malnutrition is a chronic issue. Concerns regarding coexisting forms of malnutrition (CFM) in an individual child are emerging, as children suffering from CFM have a 4 to 12-fold higher risk of death compared with healthy children. This study assessed the prevalence, trends, and socioeconomic determinants of various types of CFM using Pakistan Demographic and Health Survey (PDHS) datasets. Data from children aged 0-5 years old, with complete height and weight information, and valid anthropometry, from all regions of Pakistan (except residents of Azad Jammu Kashmir (AJK) and Federally Administered Tribal Areas (FATA), and non-de jure residents), were included. The prevalence of CFM was 30.6% in 2012-2013 and 21.5% in 2017-2018 PDHS. Both PDHSs reported a significantly higher prevalence of CFM in Sindh and Baluchistan compared with other regions of Pakistan. Improved socioeconomic status significantly reduced the odds of various types of CFM, except the coexistence of underweight with wasting. The high prevalence of CFM in Pakistan can be averted by multisectoral collaboration and by integrating nutrition-sensitive and nutrition-specific interventions.

Malnutrition in children under the age of 5 years in a primary health care setting

In this study, we outlined the types of malnutrition amongst children, the causes of malnutrition intervention at the primary health care level and some recommendations to alleviate childhood malnutrition in South Africa.

Elucidating the Macroeconomic Determinants of Undernourishment in South Asian Countries: Building the Framework for Action

Undernourishment is a big challenge for humanity across the world. Considering the significance of reducing undernourishment, the current study focuses on exploring the macroeconomic determinants of undernourishment in the South Asian panel. The study employed econometric models that are more robust to underpin cross-sectional dependency and heterogeneity in a panel data set. The overall findings reveal that an increase in food production increases undernourishment and infer that food availability at the national level is insufficient to reduce undernourishment unless poor people also had economic and physical access to food. In the case of economic growth and governance, the results are negatively significant in some countries. The results infer that GDP and quality of governance are nuanced in declining the rate of undernourishment in some countries, while in other countries where the results are found insignificant, the government should seek other interventions to curtail the prevalence of undernourishment. Unexpectedly, an increase in food prices lessens the undernourishment in developing countries that reflect that food prices might transform the dietary patterns of poor people from nutrient-rich foods to nutrient-poor staples, thus lead to undernourishment reduction but trigger overweight and obesity alongside. In conclusion, the results depict that policymakers should devise strategies keeping in view fundamental aspects of the country to reduce undernourishment.