Proximal and contextual correlates of childhood stunting in India: A geo-spatial analysis

Effects of short birth interval on child malnutrition in the Asia-Pacific region: Evidence from a systematic review and meta-analysis

Child malnutrition remains a significant concern in the Asia-Pacific region, with short birth intervals recognised as a potential risk factor. However, evidence of this association is inconclusive. This study aimed to systematically review the existing evidence and assess the summary effects of short birth interval on child malnutrition in the Asia-Pacific region. Five electronic databases were searched in May 2023 to identify relevant studies reporting the association between short birth interval and child malnutrition, including stunting, wasting, underweight, anaemia and overall malnutrition, in Asia-Pacific region between September 2000 and May 2023. Fixed-effects or random-effects meta-analysis was performed to estimate the summary effects of short birth interval on child malnutrition. Out of 56 studies meeting the inclusion criteria, 48 were included in quantitative synthesis through meta-analysis. We found a slightly higher likelihood of stunting (n = 25, odds ratio [OR] = 1.13; 95% confidence interval [CI]: 0.97-1.32) and overall malnutrition (n = 3, OR = 2.42; 95% CI: 0.88-6.65) among children born in short birth intervals compared to those with nonshort intervals, although the effect was not statistically significant. However, caution is warranted due to identified heterogeneity across studies. Subgroup analysis demonstrated significant effects of short birth intervals on child malnutrition in national-level studies and studies with larger sample sizes. These findings underscore short birth intervals as a significant contributor to child malnutrition in the Asia-Pacific region. Implementing effective policies and programs is vital to alleviate this burden, ultimately reducing child malnutrition and associated adverse outcomes, including child mortality.

Maternal Complications during Pregnancy and Risk Factors for Stunting

Background

Stunting can be prevented by early detection when the mother is pregnant. Early detection can be carried out by looking for risk factors of stunting during pregnancy so that interventions can be early detected. This study aims to assess complications during pregnancy (disease and infection) and risk factors associated with stunting.

Materials and Methods

The type of research was observational analytic with a case-control design on 450 mothers who were selected with simple random sampling (150 mothers who have stunting babies aged 0-2 months and 300 mothers who have not stunting babies aged 0-2 months in Malang Regency, Indonesia. This study used secondary data by looking at medical records, namely, laboratory examinations in the mother's book and cohort records at the public health center. This study was conducted from December 2021 to August 2022. Bivariate analysis with Chi-square and multivariate logistic regression was carried out to determine the variables that most influenced the incidence of stunting.

Results

The results of multivariate analysis with logistic regression of maternal complications during pregnancy, which are a risk as a factor causing stunting, are Sexually Transmitted Infections (STIs) (Odds Ratio [OR]: 6.36; 95% Confidence Interval [CI]: 2.97-13.62), coronavirus disease 2019 (COVID-19) accompanied by pneumonia (OR: 5.12; 95% CI: 1.87-14.052), human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) (OR: 4.63; 95% CI: 1.10-19.59), hepatitis B (OR: 3.97; 95% CI: 1.253-12.565), pre-eclampsia (OR: 3.88; 95% CI: 1.81-8.30), and heart disease (OR: 3.373; 95% CI: 0.99-11.40).

Conclusions

After recognizing the maternal factors that cause stunting, intervention should immediately be carried out on pregnant women with diseases (pre-eclampsia and heart disease) and infections (STI, COVID-19 + pneumonia, HIV/AIDS, and hepatitis B) to prevent stunting early.

Prevalence and risk predictors of childhood stunting in Bangladesh

BACKGROUND

The child nutritional status of a country is a potential indicator of socioeconomic development. Child malnutrition is still the leading cause of severe health and welfare problems across Bangladesh. The most prevalent form of child malnutrition, stunting, is a serious public health issue in many low and middle-income countries. This study aimed to investigate the heterogeneous effect of some child, maternal, household, and health-related predictors, along with the quantiles of the conditional distribution of Z-score for height-for-age (HAZ) of under five children in Bangladesh.

METHODS AND MATERIALS

In this study, a sample of 8,321 children under five years of age was studied from BDHS-2017-18. The chi-square test was mainly used to identify the significant predictors of the HAZ score and sequential quantile regression was used to estimate the heterogeneous effect of the significant predictors at different quantiles of the conditional HAZ distribution.

RESULTS

The findings revealed that female children were significantly shorter than their male counterparts except at the 75th quantile. It was also discovered that children aged 7-47 months were disadvantaged, but children aged 48-59 months were advantaged in terms of height over children aged 6 months or younger. Moreover, children with a higher birth order had significantly lower HAZ scores than 1st birth order children. In addition, home delivery, the duration of breastfeeding, and the BCG vaccine and vitamin A received status were found to have varied significant negative associations with the HAZ score. As well, seven or fewer antenatal care visits was negatively associated with the HAZ score, but more than seven antenatal care visits was positively associated with the HAZ score. Additionally, children who lived in urban areas and whose mothers were over 18 years and either normal weight or overweight had a significant height advantage. Furthermore, parental secondary or higher education had a significant positive but varied effect across the conditional HAZ distribution, except for the mother's education, at the 50th quantile. Children from wealthier families were also around 0.30 standard deviations (SD) taller than those from the poorest families. Religion also had a significant relationship with the conditional HAZ distribution in favor of non-Muslim children.

CONCLUSIONS

To enhance children's nutritional levels, intervention measures should be designed considering the estimated heterogeneous effect of the risk factors. This would accelerate the progress towards achieving the targets of Sustainable Development Goals (SDGs) related to child and maternal health in Bangladesh by 2030.

Eco-geographic patterns of child malnutrition in India and its association with cereal cultivation: An analysis using demographic health survey and agriculture datasets

Background: High prevalence of maternal malnutrition, low birth-weight and child malnutrition in India contribute substantially to the global malnutrition burden. Rural India has disproportionately higher levels of child malnutrition. Stunting and wasting are the primary determinants of child malnutrition and their district-level distribution shows clustering in different geographies and regions. Cereals, particularly millets, constitute the bulk of protein intake among the poor, especially in rural areas in India where high prevalence of wasting persists.

Methods: The previous round of National Family Health Survey (NFHS4) has disaggregated data by district, enabling a more fine-scale characterisation of the prevalence of markers of malnutrition. We used data from NFHS4 and agricultural statistics datasets to analyse relationship of prevalence of malnutrition at the district level and area under cereal cultivation. We analysed malnutrition through data on under-5 stunting and wasting by district. 

Results: Stunting and wasting patterns across districts show a distinct geographical and age distribution; districts with higher wasting showed relatively higher prevalence at six months of age. Wasting prevalence at district level was associated with higher cultivation of millets, with a stronger association seen for jowar and other millets (Kodo millet, little millet, proso millet, barnyard millet and foxtail millet). District level stunting was associated with higher district level cultivation of wheat. In multivariable analysis, wasting was positively associated with women’s body mass index and stunting with women’s short stature.

Conclusions: Well-designed intervention studies will be required to confirm causal pathways contributing to ecogeographic patterns of child malnutrition. The cultivation of other millets has a strong association with prevalence of wasting. State-of-the-art studies that improve our understanding of bio-availability of amino acids and other nutrients from the prevalent dietary matrices of rural poor communities will be needed to confirm causal pathways contributing to potential eco-geographic patterns.

Association of Dietary Diversity With Growth Outcomes in Infants and Children Aged Under 5 Years: A Systematic Review

OBJECTIVE

This study aimed to present an overview of the association between dietary diversity (DDiv) and growth outcomes (stunting, wasting, and underweight) in children aged < 5 years.

DESIGN

This systematic review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines.

SETTING AND PARTICIPANTS

PubMed, Scopus, Embase, Cochrane library, and Google Scholar databases were searched up to February, 2021, using relevant keywords as follows: "Dietary diversity or diet diversity or food diversity or diet variety or dietary variety or food variety," "under-nutrition or stunting or wasting or underweight or nutritional status," and "children or infants." Original articles published in English were eligible for this review. Newcastle-Ottawa scales and the Cochrane Collaboration's tool were used to assess the quality and risk of bias of the articles.

MAIN OUTCOME MEASURES, ANALYSIS, AND RESULTS

Totally, 81 articles (70 cross-sectional, 4 longitudinal cohort, 5 case-control, and 2 randomized controlled trials) were included in this review. Of the studies, 45 focused on infants and 36 on children aged < 5 years. The reviewed articles had good quality and low risk of bias (scores > 6). In infants, low DDiv was associated with stunting, wasting, and being underweight (79%, 57%, and 68% of the studies, respectively). Among children aged < 5 years, the association was observed in 75%, 56%, and 57% of the studies, respectively, for stunting, wasting, and underweight.

CONCLUSIONS AND IMPLICATIONS

The findings indicate a possible association between low DDiv of infants and children aged < 5 years with stunting. However, this association remained uncertain with wasting and being underweight.

Understanding the Change in the Prevalence and Factors Influencing the Childhood Stunting Using District-Level Data from NFHS-4 and NFHS-5 in India

To compare the district level prevalence of childhood stunting between NFHS-4 and NFHS-5 and to explore the correlates of it at the district level. Although malnutrition rates in India have decreased over a period, country is still a home for the highest number of stunted and wasted children in the world. Among the South Asian countries, India has the second highest number of stunted children. An ecological study conducted by using the data from fourth and fifth round of National Family Health Survey. Study concentrated on percentage of children who were stunted across 692 Indian districts during 2 survey periods and its correlates from NFHS-5. District level change in childhood stunting was calculated by differencing the NFHS-5 estimates from NFHS-4. Descriptive statistics were used to understand the nature of the variables and Moran’s I statistic was calculated to check for the spatial autocorrelation in the childhood stunting. Spatial error regression model was used to identify the correlates of childhood stunting. Among the Indian districts considered, 243 districts showed the increase in childhood stunting between the time periods considered. Currently, about 33.56% of children in India are stunted and there is high spatial disparity in the prevalence of childhood stunting among the districts of it. Major hotspots of childhood stunting were found in the parts of UP, Bihar, Jharkhand, and West Bengal. Households access to improved sanitation facility, iodized salt, clean fuel, women 10 plus years of schooling, post-natal care of mother were found to be the significant protective factors. Closed spacing of births, teenage pregnancy, low BMI of women, childhood diarrhea, and anemia were found to be the significant risk factors of childhood stunting. Stunting depends on several other factors apart from poverty, working on these factors will help in reducing childhood stunting in India.

Evaluating Changes in Determinants of Stunting among Children Under 2 Years and Assessing Their Contribution to Socioeconomic Disparity in Child Nutritional Status across India

Background

Despite concentrated global efforts to bring about reduction in malnutrition among children, it continues to remain a public health concern, especially in developing countries such as India. While substantial reduction in the levels of stunting has taken place over the years, high levels of variation exist in distribution of stunting across the country.

Objective

The study aimed to identify the determinants of stunting in early childhood and their contribution to change in levels of stunting across India. It also compared the socioeconomic disparity in the levels of stunting and changes therein over the last decade.

Methods

The study utilizes data from the National Family Health Survey (NFHS-3 and NFHS-4) on children aged under-2 years. Bivariate and multivariate logistic regression identified determinants of early childhood stunting followed by Oaxaca decomposition model to assess the contribution of each of the factors to reduction in levels of stunting over the years. Concentration index was used to study the socioeconomic disparity in early childhood stunting.

Results

Nearly 19% decrease in early childhood stunting can be attributed to increase in institutional deliveries, 14% to increase in maternal schooling, and 10% to improvement in maternal body mass index. In spite of an overall decrease, very little change is seen in socioeconomic disparity of childhood stunting.

Conclusions

The study identifies institutional deliveries, maternal schooling, and maternal health as major contributors of decrease in early childhood stunting. It identifies persisting socioeconomic disparity in childhood stunting over the last decade.

Do children in India grow well into adolescents? Longitudinal analysis of growth transitions from Young Lives panel survey in India

OBJECTIVES

Studies that examined the growth during late childhood and early adolescence beyond 8 years of age are very limited. Further, most studies have used dichotomized classification of stunting, thereby limiting the understanding of moderate stunting in childhood growth trajectory. We aimed to examine the course of stunting from childhood to adolescence by undertaking robust analyses of the Young Lives Survey (YLS) longitudinal data from India using multilevel categorization of stunting.

STUDY DESIGN

Retrospective cohort analysis was undertaken from YLS in India among 1827 children from the younger cohort born in 2001-02 with complete follow-up data in all five rounds of YLS collected in 2002, 2006, 2009, 2013, and 2016.

METHODS

A three-state multistate Markov model (not stunted, moderate, severe) was performed to estimate annual transition probabilities, mean sojourn-time, and transition-specific risk factors.

RESULTS

Between Round-one and Round-five, cross-sectional prevalence of severe stunting decreased from 10.4% (95% confidence interval [CI]: 7.8%, 13.7%) to 5.3% (95% CI: 3.8%, 7.3%), while moderate stunting increased from 19.9% (95% CI: 16.3%,23.9%) to 21.7% (95% CI: 18.4%, 24.9%). Mean Sojourn time estimation indicated a relatively concise state for moderate stunting. The stunting trajectory had shown gender differential where more faltering to severe stunting and lower recovery to the normal state was observed among girls between 8 and 12 years and among boys between 12 and 15 years. Compared with boys, girls had 40% excess likelihood (Hazard Ratio: 1.40; 95% CI 1.00 to 1.95) for moderate-to-severe stunting transition and also had 19% excess likelihood (Hazard Ratio: 1.19; 95% CI 1.01 to 1.40) of favorable transition (moderate-to-non-stunted).

CONCLUSIONS

The transition trajectory highlights preadolescence, especially among girls, as an additional window of opportunity to ensure better nutrition in adolescent life. With a fifth of adolescents living in India, study findings call for coordinated, multisectoral, age-appropriate, and gender-responsive approach to take India closer to meeting SDG-2.

Mapping Geographical Differences and Examining the Determinants of Childhood Stunting in Ethiopia: A Bayesian Geostatistical Analysis

Understanding the specific geographical distribution of stunting is essential for planning and implementing targeted public health interventions in high-burdened countries. This study investigated geographical variations in the prevalence of stunting sub-nationally, and the determinants of stunting among children under 5 years of age in Ethiopia. We used the 2016 Ethiopia Demographic and Health Survey (EDHS) dataset for children aged 0–59 months with valid anthropometric measurements and geographic coordinates (n = 9089). We modelled the prevalence of stunting and its determinants using Bayesian geospatially explicit regression models. The prevalence of stunting among children under five years was 36.3% (95% credible interval (CrI); 22.6%, 51.4%) in Ethiopia, with wide variations sub-nationally and by age group. The prevalence of childhood stunting ranged from 56.6% (37.4–74.6%) in the Mekelle Special zone of the Tigray region to 25.5% (10.5–48.9%) in the Sheka zone of the Southern Nations, Nationalities and Peoples region. Factors associated with a reduced likelihood of stunting in Ethiopia included non-receipt of breastmilk, mother’s BMI (overweight/obese), employment status (employed), and higher household wealth, while the enablers were residence in the “arid” geographic areas, small birth size of the child, and mother’s BMI (underweight). The prevalence and determinants of stunting varied across Ethiopia. Efforts to reduce the burden of childhood stunting should consider geographical heterogeneity and modifiable risk factors.

Using geographically weighted regression analysis to cluster under-nutrition and its predictors among under-five children in Ethiopia: Evidence from demographic and health survey

BACKGROUND

Malnutrition among under-five children is a common public health problem and it is one of the main cause for the mortality of under-five children in developing countries, including Ethiopia. Therefore, lack of evidence about geographic heterogeneity and predictors of under-nutrition hinders for evidence-based decision-making process for the prevention and control programs of under-nutrition in Ethiopia. Thus, this study aimed to address this gap.

METHODS

The data were obtained from the Ethiopian Demographic and Health Survey (EDHS) 2016. A total of 9,384 under-five children nested in 645 clusters were included with a stratified two-stage cluster sampling. ArcGIS version 10.5 software was used for global, local and ordinary least square analysis and mapping. The spatial autocorrelation (Global Moran's I) statistic was held in order to assess the pattern of wasting, stunting, and underweight whether it was dispersed, clustered, or randomly distributed. In addition, a Bernoulli model was used to analyze the purely spatial cluster detection of under-nutrition indicators through SaTScan version 9.6 software. Geographically weighted regression (GWR) version 4.0 software was used to model spatial relationships in the GWR analysis. Finally, a statistical decision was made at p-value<0.05 with 95%CI for ordinary least square analysis and geographically weighted regression.

MAIN FINDINGS

Childhood under-nutrition showed geographical variations at zonal levels in Ethiopia. Accordingly, Somali region (Afder, Gode, Korahe, Warder Zones), Afar region (Zone 2), Tigray region (Southern Zone), and Amhara region (Waghmira Zones) for wasting, Amhara region (West Gojam, Awi, South Gondar, and Waghmira Zones) for stunting and Amhara region (South Wollo, North Wollo, Awi, South Gondar, and Waghmira zones), Afar region (Zone 2), Tigray region (Eastern Zone, North Western Zone, Central Zone, Southern Zone, and Mekele Special Zones), and Benshangul region (Metekel and Assosa Zones) for underweight were detected as hot spot (high risk) regions. In GWR analysis, had unimproved toilet facility for stunting, wasting and underweight, father had primary education for stunting and wasting, father had secondary education for stunting and underweight, mothers age 35-49 years for wasting and underweight, having female children for stunting, having children eight and above for wasting, and mother had primary education for underweight were significant predictors at (p<0.001).

CONCLUSIONS

Our study showed that the spatial distribution of under-nutrition was clustered and high-risk areas were identified in all forms of under-nutrition indicators. Predictors of under-nutrition were identified in all forms of under-nutrition indicators. Thus, geographic-based nutritional interventions mainly mobilizing additional resources could be held to reduce the burden of childhood under-nutrition in hot spot areas. In addition, improving sanitation and hygiene practice, improving the life style of the community, and promotion of parent education in the identified hot spot zones for under-nutrition should be more emphasized.

Correction: Proximal and contextual correlates of childhood stunting in India: A geo-spatial analysis

[This corrects the article DOI: 10.1371/journal.pone.0237661.].