Understanding child stunting in India: a comprehensive analysis of socio-economic, nutritional and environmental determinants using additive quantile regression

Y, Westcott JE, Thorsten VR, Sridhar A, Das A, McClure E, Derman RJ, Goldenberg RL, Koso-Thomas M, Goudar SS, Krebs NF. Preconception nutrition intervention improved birth length and reduced stunting and wasting in newborns in South Asia: The Women First Randomized Controlled Trial

South Asia has >50% of the global burden of low birth weight (LBW). The objective was to determine the extent to which maternal nutrition interventions commenced before conception or in the 1st trimester improved fetal growth in this region. This was a secondary analysis of combined newborn anthropometric data for the South Asian sites (India and Pakistan) in the Women First Preconception Maternal Nutrition Trial. Participants were 972 newborn of mothers who were poor, rural, unselected on basis of nutritional status, and had been randomized to receive a daily lipid-based micronutrient supplement commencing ≥3 months prior to conception (Arm 1), in the 1st trimester (Arm 2), or not at all (Arm 3). An additional protein-energy supplement was provided if BMI <20 kg/m2 or gestational weight gain was less than guidelines. Gestational age was established in the 1st trimester and newborn anthropometry obtained <48-hours post-delivery. Mean differences at birth between Arm 1 vs. 3 were length +5.3mm and weight +89g. Effect sizes (ES) and relative risks (RR) with 95% CI for Arm 1 vs. 3 were: length-for-age Z-score (LAZ) +0.29 (0.11-0.46, p = 0.0011); weight-for-age Z-score (WAZ) +0.22 (0.07-0.37, p = 0.0043); weight-to-length-ratio-for-age Z-score (WLRAZ) +0.27 (0.06-0.48, p = 0.0133); LAZ<-2, 0.56 (0.38-0.82, p = 0.0032); WAZ <-2, 0.68 (0.53-0.88, p = 0.0028); WLRAZ <-2, 0.76 (0.64-0.89, p = 0.0011); small-for-gestational-age (SGA), 0.74 (0.66-0.83, p<0.0001); low birth weight 0.81 (0.66-1.00, p = 0.0461). For Arm 2 vs. 3, LAZ, 0.21 (0.04-0.38); WAZ <-2, 0.70 (0.53-0.92); and SGA, 0.88 (0.79-0.97) were only marginally different. ES or RR did not differ for preterm birth for either Arm 1 vs. 3 or 2 vs. 3. In conclusion, point estimates for both continuous and binary anthropometric outcomes were consistently more favorable when maternal nutrition supplements were commenced ≥3 months prior to conception indicating benefits to fetal growth of improving women's nutrition in this population.

Linkage in stunting status of siblings: a new perspective on childhood undernutrition in India

Almost 30% of the world's stunted children reside in India. This study examined sibling linkage in childhood stunting by assessing the extent of clustering of stunted children born to the same mother. Data were taken from 225,002 children under the age of five from the Indian National Family and Health Survey (NFHS)-4 conducted in 2015-16. States with high fertility and lower socioeconomic development displayed higher clustering of childhood stunting among siblings. Simulating removal of this clustered burden showed an almost 10 percentage point reduction in stunting in India. Multinomial regression analysis highlighted that the propensity to have multiple stunted births was higher among less-educated women, scheduled caste/tribes and poor households. The multilevel model results indicated that the odds of stunting for the index child increased by 1.93 if the older sibling was stunted. The odds of the index child being stunted if the previous child was stunted were high, irrespective of the differences in state-level public health performances and political commitments. Although socioeconomic correlates play a crucial role in determining child stunting status, they also act as proxies for poor-quality intra-generational health. Clustering of stunting among siblings is an indicator of both genetic and environmental association with the height-for-age (HAZ) of children. Mothers with repeated stunted births should be prioritized and monitored over a substantial part of their lives. Inclusion of multiple child beneficiaries in nutrition policies and revisiting the 'one size fits all' concept at the micro level, owing to the substantial village/ward-level variation, might be an effective policy measure.

Dietary Diversity, Social Support and Stunting among Children Aged 6-59 Months in an Internally Displaced Persons Camp in Kayin State, Myanmar

Children living in the internally displaced person (IDP) camp are at higher risk of stunting. This cross-sectional study aimed to assess the prevalence and to identify the associated factors of stunting among children aged 6–59 months at Myaing-Gyi-Ngu IDP camp in Kayin State, Myanmar. According to the World Health Organization Child Growth Standards, children with a height-for-age Z-scores below −2 standard deviation of the reference median (HAZ ≤ −2) were classified as stunted. Multiple logistic regression analysis was performed to identify the strong predictors. Prevalence of stunting has been found very high (59.4%). Adjusted model revealed that children living with illiterate mothers (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.07–3.24), being third/later-birth child (OR, 1.88; 95% CI, 1.13–3.14), consuming less than 4 food groups (OR, 4.22; 95% CI, 1.94–9.16), and older age of child (OR, 6.36 for 13–24 months; 95% CI, 2.74–14.74, 7.45 for 25–36 months; 95% CI, 3.21–17.25 and 12.75 for 37–59 months; 95% CI, 5.51–29.52) had higher odds of becoming stunted. The levels of support availability, presumed support and support received of mothers were generally low, but no significant associations were observed. In conclusion, this study showed high prevalence of stunting, but low dietary diversity and social support in the IDP camp. Due to the significant association of dietary diversity scores with stunting, interventions aiming at improving dietary diversity should be taken to reduce the stunting among children in the IDPs camp.

Risk factors for undernutrition among children 0-59 months of age in Myanmar

The prevalence of childhood stunting in Myanmar is one of the highest among the countries of Southeast Asia. Cross-sectional data from the Myanmar Demographic Health Survey 2015-2016 were used to examine risk factors for stunting, wasting, and underweight among children aged 0-59 months. The prevalence of stunting, wasting, and underweight was 29.0%, 7.3%, and 19.2%, respectively. Accounting for sampling design and weights, multivariable logistic regression was conducted with 35 household, maternal, and child characteristics. Current pregnancy and maternal height <145 cm, home delivery, child's small birth size recalled by mother, and older age (ref: 0-5 months) predicted both stunting and underweight. Larger than average birth size was protective for all stunting, wasting, and underweight. Maternal body mass index <18.5 kg m-2 was a common risk factor for wasting and underweight. Lower wealth quintiles, maternal engagement in nonagricultural occupation, and male child predicted stunting only. Younger child age and not receiving vitamin A supplementation in the previous 6 months were risk factors for wasting only. Regional variation was also seen, with a higher odds of stunting in the West-South Region, North-East States, and West States, compared with the Central Regions. In Myanmar, socio-economic and demographic factors, poor maternal nutritional status, and living in certain geographical locations are affecting children's undernutrition. It is recommended that interventions for growth faltering focus on the first 1,000 days of life; optimum maternal nutrition be ensured during and before pregnancy and at adolescence; societal support be provided for mothers in poverty or engaged in nonagriculture; and region-specific undernutrition pathways be understood.

Selective mortality and the anthropometric status of children in low- and middle-income countries

Despite a close relationship between the childrens' anthropometric status and mortality rates, the highest mortality rates are concentrated in sub-Saharan Africa, while the lowest anthropometric indicators, in particular the height-for-age z-scores, are concentrated in South Asia. This discrepancy should, however, be expected to decrease when one accounts for the survivorship bias, i.e. selective mortality. We analyse whether the survivorship bias can explain these observed differences in three standard anthropometric indicators (stunting, underweight and wasting) by using individual data of children from six waves of Demographic and Health Surveys for a large cross-section of 37 low- and middle-income countries between 1991 and 2016. We use both a matching approach and semi-parametric regression to estimate the values for the anthropometric status of deceased children. The results are twofold: first, both methods reveal that the imputed values for the anthropometric indicators are, on average, between 0.10 and 0.25 standard deviations lower than the observed anthropometric indicators. Second, since the share of deceased children in our sample is below ten per cent, the contribution of the anthropometric status of deceased children to overall anthropometric indicators is small and therefore only influences it marginally.

Nutritional interventions for preventing stunting in children (birth to 59 months) living in urban slums in low- and middle-income countries (LMIC)

BACKGROUND

Nutritional interventions to prevent stunting of infants and young children are most often applied in rural areas in low- and middle-income countries (LMIC). Few interventions are focused on urban slums. The literature needs a systematic assessment, as infants and children living in slums are at high risk of stunting. Urban slums are complex environments in terms of biological, social, and political variables and the outcomes of nutritional interventions need to be assessed in relation to these variables. For the purposes of this review, we followed the UN-Habitat 2004 definitions for low-income informal settlements or slums as lacking one or more indicators of basic services or infrastructure.

OBJECTIVES

To assess the impact of nutritional interventions to reduce stunting in infants and children under five years old in urban slums from LMIC and the effect of nutritional interventions on other nutritional (wasting and underweight) and non-nutritional outcomes (socioeconomic, health and developmental) in addition to stunting.

SEARCH METHODS

The review used a sensitive search strategy of electronic databases, bibliographies of articles, conference proceedings, websites, grey literature, and contact with experts and authors published from 1990. We searched 32 databases, in English and non-English languages (MEDLINE, CENTRAL, Web of Science, Ovid MEDLINE, etc). We performed the initial literature search from November 2015 to January 2016, and conducted top up searches in March 2017 and in August 2018.

SELECTION CRITERIA

Research designs included randomised (including cluster-randomised) trials, quasi-randomised trials, non-randomised controlled trials, controlled before-and-after studies, pre- and postintervention, interrupted time series (ITS), and historically controlled studies among infants and children from LMIC, from birth to 59 months, living in urban slums. The interventions included were nutrition-specific or maternal education. The primary outcomes were length or height expressed in cm or length-for-age (LFA)/height-for-age (HFA) z-scores, and birth weight in grams or presence/absence of low birth weight (LBW).

DATA COLLECTION AND ANALYSIS

We screened and then retrieved titles and abstracts as full text if potentially eligible for inclusion. Working independently, one review author screened all titles and abstracts and extracted data on the selected population, intervention, comparison, and outcome parameters and two other authors assessed half each. We calculated mean selection difference (MD) and 95% confidence intervals (CI). We performed intervention-level meta-analyses to estimate pooled measures of effect, or narrative synthesis when meta-analyses were not possible. We used P less than 0.05 to assess statistical significance and intervention outcomes were also considered for their biological/health importance. Where effect sizes were small and statistically insignificant, we concluded there was 'unclear effect'.

MAIN RESULTS

The systematic review included 15 studies, of which 14 were randomised controlled trials (RCTs). The interventions took place in recognised slums or poor urban or periurban areas. The study locations were mainly Bangladesh, India, and Peru. The participants included 9261 infants and children and 3664 pregnant women. There were no dietary intervention studies. All the studies identified were nutrient supplementation and educational interventions. The interventions included zinc supplementation in pregnant women (three studies), micronutrient or macronutrient supplementation in children (eight studies), nutrition education for pregnant women (two studies), and nutrition systems strengthening targeting children (two studies) intervention. Six interventions were adapted to the urban context and seven targeted household, community, or 'service delivery' via systems strengthening. The primary review outcomes were available from seven studies for LFA/HFA, four for LBW, and nine for length.The studies had overall high risk of bias for 11 studies and only four RCTs had moderate risk of bias. Overall, the evidence was complex to report, with a wide range of outcome measures reported. Consequently, only eight study findings were reported in meta-analyses and seven in a narrative form. The certainty of evidence was very low to moderate overall. None of the studies reported differential impacts of interventions relevant to equity issues.Zinc supplementation of pregnant women on LBW or length (versus supplementation without zinc or placebo) (three RCTs)There was no evidence of an effect on LBW (MD -36.13 g, 95% CI -83.61 to 11.35), with moderate-certainty evidence, or no evidence of an effect or unclear effect on length with low- to moderate-certainty evidence.Micronutrient or macronutrient supplementation in children (versus no intervention or placebo) (eight RCTs)There was no evidence of an effect or unclear effect of nutrient supplementation of children on HFA for studies in the meta-analysis with low-certainty evidence (MD -0.02, 95% CI -0.06 to 0.02), and inconclusive effect on length for studies reported in a narrative form with very low- to moderate-certainty evidence.Nutrition education for pregnant women (versus standard care or no intervention) (two RCTs)There was a positive impact on LBW of education interventions in pregnant women, with low-certainty evidence (MD 478.44g, 95% CI 423.55 to 533.32).Nutrition systems strengthening interventions targeting children (compared with no intervention, standard care) (one RCT and one controlled before-and-after study)There were inconclusive results on HFA, with very low- to low-certainty evidence, and a positive influence on length at 18 months, with low-certainty evidence.

AUTHORS' CONCLUSIONS

All the nutritional interventions reviewed had the potential to decrease stunting, based on evidence from outside of slum contexts; however, there was no evidence of an effect of the interventions included in this review (very low- to moderate-certainty evidence). Challenges linked to urban slum programming (high mobility, lack of social services, and high loss of follow-up) should be taken into account when nutrition-specific interventions are proposed to address LBW and stunting in such environments. More evidence is needed of the effects of multi-sectorial interventions, combining nutrition-specific and sensitive methods and programmes, as well as the effects of 'up-stream' practices and policies of governmental, non-governmental organisations, and the business sector on nutrition-related outcomes such as stunting.

Determinants of stunting among under-five children in Ethiopia: a multilevel mixed-effects analysis of 2016 Ethiopian demographic and health survey data

BACKGROUND

Childhood stunting is the most widely prevalent among under-five children in Ethiopia. Despite the individual-level factors of childhood stunting are well documented, community-level factors have not been given much attention in the country. This study aimed to identify individual- and community-level factors associated with stunting among under-five children in Ethiopia.

METHODS

Cross-sectional data from the 2016 Ethiopian Demographic and Health Survey was used. A total of 8855 under-five children and 640 community clusters were included in the current analysis. A multilevel logistic regression model was used at 5% level of significance to determine the individual- and community-level factors associated with childhood stunting.

RESULTS

The prevalence of stunting was found to be 38.39% in Ethiopian under-five children. The study showed that the percentage change in variance of the full model accounted for about 53.6% in odds of childhood stunting across the communities. At individual-level, ages of the child above 12 months, male gender, small size of the child at birth, children from poor households, low maternal education, and being multiple birth had significantly increased the odds of childhood stunting. At community-level, children from communities of Amhara, Tigray, and Benishangul more suffer from childhood stunting as compared to Addis Ababa's community children. Similarly, children from Muslim, Orthodox and other traditional religion followers had higher log odds of stunting relative to children of the protestant community.

CONCLUSIONS

This study showed individual- and community-level factors determined childhood stunting in Ethiopian children. Promotion of girl education, improving the economic status of households, improving maternal nutrition, improving age-specific child feeding practices, nutritional care of low birth weight babies, promotion of context-specific child feeding practices and narrowing rural-urban disparities are recommended.

Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015-2030: a Lives Saved Tool (LiST)-based approach

OBJECTIVE

Although nutrition-specific interventions are designed based on maternal, household and community-level correlates, no attempt has been made to project stunting and wasting and identify intervention priorities in India. The objective of this paper is to model the stunting and wasting in the state of Odisha, India by scaling up maternal and child health interventions under alternative scenarios.

DESIGN

This study primarily used data from National Family Health Survey 4, 2015-2016.

MEASURES

The LiST (Lives Saved Tool) software is used to model the nutritional outcomes and prioritise interventions. The projections were carried out under four alternative scenarios: scenario 1-if the coverage indicators continued based on past trends; scenario 2-scaled up to the level of the richest quintile; scenario 3-scaled up to that of Tamil Nadu; and scenario 4-scaled up to an aspirational coverage level.

RESULTS

In 2015, out of 3.52 million under-5 children in Odisha, around 1.20 million were stunted. By 2030, the numbers of stunted children will be 1.11 million under scenario 1, 1.07 million under scenario 2, 1.09 million under scenario 3 and 0.89 million under scenario 4. The projected stunting level will be 25% under scenario 4 and around 31% under all other scenarios. By 2030, the level of wasting will remain unchanged at 20% under the first three scenarios and 4.3% under scenario 4. Appropriate complementary feeding would avert about half of the total stunting cases under all four scenarios, followed by zinc supplementation. Water connection at home, washing hands with soap and improved sanitation are other effective interventions.

CONCLUSION

Sustaining the maternal and child health interventions, promoting evidence-based stunting and wasting reduction interventions, and a multisectoral approach can achieve the World Health Assembly targets and Sustainable Development Goals of undernutrition in Odisha.

Small-area estimates of stunting. Mexico 2010: Based on a hierarchical Bayesian estimator

The Sustainable Development Goal (SDG) 2.2 proposes ending stunting and wasting in children under five years of age by 2025. In Mexico, progress in the reduction of stunting has slowed in the 21st century. One of the challenges in tackling stunting is that it has become more concentrated in certain areas, but there are no data detailing its precise location. This paper produces the first small-area estimates of stunting for the Mexican municipalities by applying a hierarchical Bayesian estimator using data from a nationally representative survey (ENSANUT 2012, in Spanish) and the sample of the National Housing and Population Census 2010. The findings suggest the existence of large within-state differences in the prevalence of stunting and that this phenomenon is highly spatially clustered. The paper also illustrates the value of the small-area stunting estimates by performing a spatial analysis on the relationship between stunting and food insecurity at the municipal level.

Understanding correlates of child stunting in Ethiopia using generalized linear mixed models

Background

Stunting is an indicator of the devastating result of malnutrition in early childhood. The effects of childhood stunting are irreparable physical and cognitive harm. It is an issue of the great public health importance throughout Sub-Saharan African countries including Ethiopia. Therefore, identification of the risk factors of child stunting from recent data is very important for timely intervention.

Methods

The 2016 Ethiopian Demographic and Health Survey data were used for this study. A generalized linear mixed model which is an extension of the general linear model was employed to identify socioeconomic, demographic, environmental and health related risk factors for stunted under-five children.

Results

The result shows that the age and sex of the child, preceding birth interval, mother’s body mass index, household wealth index, mother’s education level, breastfeeding period, type of toilet facility, use of internet and source of drinking water were the major determinants of stunting of under-five children in Ethiopia.

Conclusion

The study indicated that children from undernourished mothers, who are not breastfeeding, from poor households, households that have no toilet facilities, who are male, older age (between 12 to 59 months), who have illiterate mother and short birth spacing were associated with stunting problems. Therefore, family planning education and policy is required for the country to improve on under-five age stunting problems.

Adolescent pregnancy and linear growth of infants: a birth cohort study in rural Ethiopia

BACKGROUND

Evidences indicate that the risk of linear growth faltering is higher among children born from young mothers. Although such findings have been documented in various studies, they mainly originate from cross-sectional data and demographic and health surveys which are not designed to capture the growth trajectories of the same group of children. This study aimed to assess the association between young maternal age and linear growth of infants using data from a birth cohort study in Ethiopia.

METHODS

A total of 1423 mother-infant pairs, from a birth cohort study in rural Ethiopia were included in this study. They were followed for five time points, with three months interval until the infants were 12 months old. However, the analysis was based on 1378 subjects with at least one additional follow-up measurement to the baseline. A team of data collectors including nurses collected questionnaire based data and anthropometric measurements from the dyads. We fitted linear mixed-effects model with random intercept and random slope to determine associations of young maternal age and linear growth of infants over the follow-up period after adjusting for potential confounders.

RESULTS

Overall, 27.2% of the mothers were adolescents (15-19 years) and the mean ± SD age of the mothers was 20 ± 2 years. Infant Length for Age Z score (LAZ) at birth was negatively associated with maternal age of 15-19 years (β = - 0.24, P = 0.032). However, young maternal age had no significant association with linear growth of the infants over the follow-up time (P = 0.105). Linear growth of infants was associated positively with improved maternal education and iron-folate intake during pregnancy and negatively with infant illness (P < 0.05).

CONCLUSION

Young maternal age had a significant negative association with LAZ score of infants at birth while its association over time was not influential on their linear growth. The fact that wide spread socio economic and environmental inequalities exist among mothers of all ages may have contributed to the non-significant association between young maternal age and linear growth faltering of infants. This leaves an opportunity to develop comprehensive interventions targeting for the infants to attain optimal catch-up growth.

Individual-, maternal- and household-level factors associated with stunting among children aged 0-23 months in Bangladesh

OBJECTIVE

Childhood stunting remains a major public health concern in Bangladesh. To accelerate the reduction rate of stunting, special focus is required during the first 23 months of a child's life when the bulk of growth takes place. Therefore the present study explored individual-, maternal- and household-level factors associated with stunting among children under 2 years of age in Bangladesh.

DESIGN

Data were collected through a nationwide cross-sectional survey conducted between October 2015 and January 2016. A two-stage cluster random sampling procedure was applied to select 11 428 households. In the first stage, 210 enumerations areas (EA) were selected with probability proportional to EA size (180 EA from rural areas, thirty EA from urban slums). In the second stage, an average of fifty-four households were selected from each EA through systematic random sampling.

SETTING

Rural areas and urban slums of Bangladesh.ParticipantsA total of 6539 children aged 0-23 months.

RESULTS

Overall, 29·9 % of the children were stunted. After adjusting for all potential confounders in the modified Poisson regression model, child's gender, birth weight (individual level), maternal education, age at first pregnancy, nutrition (maternal level), administrative division, place of residence, socio-economic status, food security status, access to sanitary latrine and toilet hygiene condition (household level) were significantly associated with stunting.

CONCLUSIONS

The study identified a number of potentially addressable multilevel risk factors for stunting among young children in Bangladesh that should be addressed through comprehensive multicomponent interventions.

Stunting and severe stunting among infants in India: the role of delayed introduction of complementary foods and community and household factors

Background: Delayed introduction of solid, semi-solid or soft foods (complementary feeding) and associated factors are related to stunting and severe stunting among children in many low- and middle-income countries. In India, however, there is limited evidence on the relationship between delayed complementary feeding and associated factors with stunting and severe stunting to advocate for policy interventions. Objectives: The present study investigated the relationship between delayed complementary feeding and associated factors with stunting and severe stunting among infants aged 6-8 months in India. Methods: Survey data on 13,548 infants aged 6-8 months were obtained from the 2015-16 National Family Health Survey in India. Logistic regression (Generalized Linear Latent and Mixed Models [GLLAMM] with a logit link and binomial family) models that adjusted for clustering and sampling weights were used to investigate the relationship between delayed complementary feeding and associated factors (community, household, maternal, child and health service factors) with stunting and severe stunting among infants aged 6-8 months in India. Results: The prevalence of stunting and severe stunting was 22.0% (95% CI: 21.0-23.7%) and 10.0% (95% CI: 9.0-11.0%) among infants aged 6-8 months who received no complementary foods, respectively. Delayed introduction of solid, semi-solid or soft foods was associated with stunting (adjusted Odd ratios [aOR] = 1.24, 95% CI: 1.09-1.41) and severe stunting (aOR = 1.21, 95% CI: 1.01-1.45) among infants aged 6-8 months. High maternal education (secondary or higher education) and household wealth (middle, richer and richest) were protective against stunting and severe stunting. Conclusion: Delayed introduction of complementary foods and associated factors were related to stunting and severe stunting among infants aged 6-8 months in India. Reducing the proportion of infants who are stunted in India would require comprehensive national nutrition policy actions that target the sub-population of mothers with no schooling and limited resources.

Factors associated with stunting among children below five years of age in Zambia: evidence from the 2014 Zambia demographic and health survey

Background

Stunting continues to be a major public health problem globally. Stunting is a manifestation of many factors including inadequate food intake and poor health conditions. However, poor quality nutritional diets during pregnancy, infancy and early childhood lead to inadequate nutrient intake. The prevalence of stunting in Zambia has been over 40% and remains unacceptably high. There is limited information on factors associated with stunting in Zambia. Thus to better understand factors contributing to the high stunting levels, the 2013/14 Zambia Demographic and Health Survey (ZDHS) data was analysed.

Methods

Data was extracted using a data extraction tool and analysed using Stata version 13. Sample data of 12, 328 children aged 0-59 months was analysed. The analysis involved simple and multiple logistic regression to find associations between independent variables and stunting.

Results

The prevalence of stunting among under five children in Zambia is 40%. From the 4937 children who were stunted, stunting was higher among male children as compared to female children (42.4 and 37.6% respectively). Additional analysis revealed that children whose source of drinking water was improved (33.7%) were less likely to be stunted compared to children whose source of drinking water was poor (47.7%). Stunting was associated with sex and age of a child; mother's age and education; residence; wealth and duration of breastfeeding. For instance, children whose mothers had higher education showed a 75% reduction of odds compared to children whose mothers had no education (AOR = 0.35, 95%CI: 0.22, 0.54; p < 0.05). Similarly, wealth status showed an inverse relationship. Children who came from rich households showed a 32% reduction of odds compared to children who came from poor households (AOR = 0.68, 95%CI: 0.57, 0.82; p < 0.05).

Conclusion

The study established that the major predictors of stunting among children under 5 years old in Zambia were sex and age of the child; mother's age and level of education; wealth status; improved source of drinking water; duration of breastfeeding and residence. Therefore, multiple measures targeted at reducing child stunting should be taken in a bid to influence policy and conceiving of programmes.

The relationship between sensory integration challenges and the dietary intake and nutritional status of children with Autism Spectrum Disorders in Mumbai, India

Objective: This study was conducted to assess the dietary intake, food refusal, and nutritional status of younger and older children with Autism Spectrum Disorders (ASD) in Mumbai, India, and to understand the relationships between these variables and mealtime behaviors and sensory integration. Methods: This was an observational cross-sectional study. Convenience and snowball sampling was used. Data were collected from 146 mother-children pairs, where children belonged to two age groups (3-6 years and 7-11 years). Caregivers completed scales on mealtime behaviors, sensory integration, and the dietary intake of their children. Nutritional status of the children was assessed by measuring their height and weight. Based on BMI 'z' scores, children were classified as 'Underweight', 'Mild Underweight', 'Normal BMI', 'Overweight', or 'Obese'. Results: There was no significant difference in mealtime behavior and sensory integration scores between the two age groups. There was a significant inverse relationship between the mealtime behavior and sensory integration scores. There was no relationship between these two variables and the dietary intake of children. However, there was a significant relationship between these two variables and the number of food groups refused by children with ASD. Only 39.7% children had a normal BMI. There was a significant positive relationship between dietary intake and nutritional status of children. Conclusion: Difficulties in sensory integration may contribute to mealtime behavioral problems and inadequate dietary intake in these children. At the same time, higher dietary intake (which may be poor in diversity) may be related with a higher likelihood of being overweight.

Environmental Risk Factors Associated with Child Stunting: A Systematic Review of the Literature

BACKGROUND

Stunting, a form of malnutrition characterized by impaired linear growth in the first two years of life, affects one quarter of children globally. While nutritional status remains the key cause of stunting, there is evidence that environmental risk factors are associated with stunting.

OBJECTIVE

The objective of this review is to explore the current literature and compile the environmental risk factors that have been associated with stunting. Further, we seek to discover which risk factors act independently of nutritional intake.

METHODS

A systematic search of the literature was performed using PubMed, EMBASE, Scopus, TOXNET, and CINAHL. A search of the grey literature was conducted. Papers were included in this review if they examined an association between childhood stunting and exposure to environmental risk factors.

FINDINGS

We included 71 reports in the final analysis. The included studies showed that foodborne mycotoxins, a lack of adequate sanitation, dirt floors in the home, poor quality cooking fuels, and inadequate local waste disposal are associated with an increased risk of childhood stunting. Access to safe water sources was studied in a large number of studies, but the results remain inconclusive due to inconsistent study findings. Limited studies were available for arsenic, mercury, and environmental tobacco, and thus their role in stunting remains inconclusive. The identified research did not control for nutritional intake. A causal model identified solid fuel use and foodborne mycotoxins as being environmental risk factors with the potential to have direct effects on childhood growth.

CONCLUSIONS

A diverse range of environmental risk factors are, to varying degrees, associated with stunting, demonstrating the importance of considering how the environment interacts with nutrition. Health promotion activities may be more effective if they consider environmental factors alongside nutritional interventions.

Environmental Risk Factors Associated with Child Stunting: A Systematic Review of the Literature

BACKGROUND

Stunting, a form of malnutrition characterized by impaired linear growth in the first two years of life, affects one quarter of children globally. While nutritional status remains the key cause of stunting, there is evidence that environmental risk factors are associated with stunting.

OBJECTIVE

The objective of this review is to explore the current literature and compile the environmental risk factors that have been associated with stunting. Further, we seek to discover which risk factors act independently of nutritional intake.

METHODS

A systematic search of the literature was performed using PubMed, EMBASE, Scopus, TOXNET, and CINAHL. A search of the grey literature was conducted. Papers were included in this review if they examined an association between childhood stunting and exposure to environmental risk factors.

FINDINGS

We included 71 reports in the final analysis. The included studies showed that foodborne mycotoxins, a lack of adequate sanitation, dirt floors in the home, poor quality cooking fuels, and inadequate local waste disposal are associated with an increased risk of childhood stunting. Access to safe water sources was studied in a large number of studies, but the results remain inconclusive due to inconsistent study findings. Limited studies were available for arsenic, mercury, and environmental tobacco, and thus their role in stunting remains inconclusive. The identified research did not control for nutritional intake. A causal model identified solid fuel use and foodborne mycotoxins as being environmental risk factors with the potential to have direct effects on childhood growth.

CONCLUSIONS

A diverse range of environmental risk factors are, to varying degrees, associated with stunting, demonstrating the importance of considering how the environment interacts with nutrition. Health promotion activities may be more effective if they consider environmental factors alongside nutritional interventions.

Trends in inequalities in child stunting in South Asia

We analysed socio-economic inequalities in stunting in South Asia and investigated disparities associated with factors at the individual, caregiver, and household levels (poor dietary diversity, low maternal education, and household poverty). We used time-series analysis of data from 55,459 children ages 6-23 months from Demographic and Health Surveys in Bangladesh, India, Nepal, and Pakistan (1991-2014). Logistic regression models, adjusted for age, sex, birth order, and place of residency, examined associations between stunting and multiple types of socio-economic disadvantage. All countries had high stunting rates. Bangladesh and Nepal recorded the largest reductions-2.9 and 4.1 percentage points per year, respectively-compared to 1.3 and 0.6 percentage points in India and Pakistan, respectively. Socio-economic adversity was associated with increased risk of stunting, regardless of disadvantage type. Poor children with inadequate diets and with poorly educated mothers experienced greater risk of stunting. Although stunting rates declined in the most deprived groups, socio-economic differences were largely preserved over time and in some cases worsened, namely, between wealth quintiles. The disproportionate burden of stunting experienced by the most disadvantaged children and the worsening inequalities between socio-economic groups are of concern in countries with substantial stunting burdens. Closing the gap between best and worst performing countries, and between most and least disadvantaged groups within countries, would yield substantial improvements in stunting rates in South Asia. To do so, greater attention needs to be paid to addressing the social, economic, and political drivers of stunting with targeted efforts towards the populations experiencing the greatest disadvantage and child growth faltering.

Understanding the geographical burden of stunting in India: A regression-decomposition analysis of district-level data from 2015-16

India accounts for approximately one third of the world's total population of stunted preschoolers. Addressing global undernutrition, therefore, requires an understanding of the determinants of stunting across India's diverse states and districts. We created a district-level aggregate data set from the recently released 2015-2016 National and Family Health Survey, which covered 601,509 households in 640 districts. We used mapping and descriptive analyses to understand spatial differences in distribution of stunting. We then used population-weighted regressions to identify stunting determinants and regression-based decompositions to explain differences between high- and low-stunting districts across India. Stunting prevalence is high (38.4%) and varies considerably across districts (range: 12.4% to 65.1%), with 239 of the 640 districts have stunting levels above 40% and 202 have prevalence of 30-40%. High-stunting districts are heavily clustered in the north and centre of the country. Differences in stunting prevalence between low and high burden districts were explained by differences in women's low body mass index (19% of the difference), education (12%), children's adequate diet (9%), assets (7%), open defecation (7%), age at marriage (7%), antenatal care (6%), and household size (5%). The decomposition models explained 71% of the observed difference in stunting prevalence. Our findings emphasize the variability in stunting across India, reinforce the multifactorial determinants of stunting, and highlight that interdistrict differences in stunting are strongly explained by a multitude of economic, health, hygiene, and demographic factors. A nationwide focus for stunting prevention is required, while addressing critical determinants district-by-district to reduce inequalities and prevalence of childhood stunting.

Uncovering the barriers to exclusive breastfeeding for mothers living in Dhaka's slums: a mixed method study

Background

Despite the substantial impact on child and maternal health, breastfeeding practices for infants remain at the suboptimum level in Bangladesh. Yet the understanding of why these practices are suboptimal, especially surrounding urban slum dwelling mothers, is unclear. The purpose of this study was to assess early infant feeding practices, examine associations with maternal factors, and uncover the facilitators and barriers to early feeding practices in selected slums of Dhaka, Bangladesh.

Methods

A mixed method study was conducted from June to September 2016 using both quantitative and qualitative methods among mothers with children under the age of 6 months. The survey included 342 mother-infant pairs and 18 in-depth interviews were conducted. Univariate and multiple logistic regression was used to determine status of early infant feeding practices and factors associated with exclusive breastfeeding (EBF) within the previous 24 h. Transcripts were coded to uncover the facilitators and barriers surrounding early infant feeding practices.

Results

Sixty four percent (220/342) of mothers initiated breastfeeding within 1 h, 96.5% (330/342) reported feeding colostrum, and 36.3% (124/342) infants were EBF in the last 24 h. After adjusting for child gender, maternal age, education, diet and household income; infant’s age (adjusted odds ratio (AOR) for 61–120 days 6.42; 95% CI 3.42, 12.1; AOR for 121–180 days 45.6; 95% CI 18.33, 113.45), prelacteal feeding (AOR 2.53; 95% CI 1.14, 4.58), lack of planning for EBF during pregnancy (AOR 4.06; 95% CI 1.09, 15.12) and infants delivered by cesarean section (AOR 2.76; 95% CI 1.34, 5.67) were negatively associated with EBF. During the 18 interviews, eight mothers reported a cesarean delivery and none of these mothers initiated breastfeeding within 1 h or exclusively breastfed. Moreover, all eight mothers gave their infants prelacteal feeds.

Conclusions

The status of early infant feeding practices in Dhaka’s slums was poor. The negative impact of cesarean section on all early infant feeding practices was evident in both quantitative and qualitative analysis.

Comparative Models of Biological and Social Pathways to Predict Child Growth through Age 2 Years from Birth Cohorts in Brazil, India, the Philippines, and South Africa

Background

Early growth faltering accounts for one-third of child deaths, and adversely impacts the health and human capital of surviving children. Social as well as biological factors contribute to growth faltering, but their relative strength and interrelations in different contexts have not been fully described.

Objective

The aim of this study was to use structural equation modelling to explore social and biological multidetermination of child height at age 2 y in longitudinal data from 4 birth cohort studies in low- and middle-income countries.

Methods

We analyzed data from 13,824 participants in birth cohort studies in Brazil, India, the Philippines, and South Africa. We used exploratory structural equation models, with height-for-age at 24 mo as the outcome to derive factors, and path analysis to estimate relations among a wide set of social and biological variables common to the 4 sites.

Results

The prevalence of stunting at 24 mo ranged from 14.0% in Brazil to 67.7% in the Philippines. Maternal height and birthweight were strongly predictive of height-for-age at 24 mo in all 4 sites (all P values <0.001). Three social-environmental factors, which we characterized as "child circumstances," "family socioeconomic status," and "community facilities," were identified in all sites. Each social-environmental factor was also strongly predictive of height-for-age at 24 mo (all P values <0.001), with some relations partly mediated through birthweight. The biological pathways accounted for 59% of the total explained variance and the social-environmental pathways accounted for 41%. The resulting path coefficients were broadly similar across the 4 sites.

Conclusions

Early child growth faltering is determined by both biological and social factors. Maternal height, itself a marker of intergenerational deprivation, strongly influences child height at 2 y, including indirect effects through birthweight and social factors. However, concurrent social factors, many of which are modifiable, directly and indirectly contribute to child growth. This study highlights opportunities for interventions that address both biological and social determinants over the long and short term.

Analysis of individual-level and community-level effects on childhood undernutrition in Malawi

BACKGROUND

Undernutrition is a major global public health problem among children under the age of 5 years. We aimed to untangle the effects of a wide range of individual- and community-level socioeconomic factors on the risks of childhood undernutrition in Malawi.

METHODS

We analyzed 6384 women-infant pairs from the 2004 and 2010 Malawi Demographic and Health Surveys (MDHSs). The undernutrition status was assessed by three domains of stunted (height-for-age), wasted (weight-for-height), and underweight (weight-for-age). We constructed generalized estimating equation logistic models to analyze associations of individual- and community-level characteristics with childhood undernutrition.

RESULTS

About 48.4% of the children were stunted, 4.5% were wasted, and 14.4% were underweight. At the individual level, the risk of childhood undernutrition was significantly higher in males, children with a small birth size, children with a diarrheal episode in the last 2 weeks, children that were a product of multiple births, children born to mothers with either a low socioeconomic status, or a poor education, or who were underweight, and children born in the year 2004. At community level, children born in communities with low and medium wealth, and in communities with low and medium female educational attainment were more likely to be undernourished. Unexpectedly, the maternal HIV status was not associated with childhood undernutrition at either the individual or community level.

CONCLUSION

This study provides evidence of the importance of both individual- and community-level factors in determining childhood undernutrition. Interventions against childhood undernutrition should consider the various predictors discussed in this study in order to reduce undernutrition in children and contribute to their well-being.

Socioeconomic context of the community and chronic child malnutrition in Colombia

OBJECTIVE

To analyze the influence of the socioeconomic context of the community on chronic child malnutrition in Colombia.

METHODS

We estimated multilevel logistic models using data from the National Demographic and Health Survey in Colombia in 2010. The final sample included 11,448 children under the age of five gathered in 3,528 communities. In addition, we used the Principal Component Analysis with polychoric correlations for the construction of composed indicators of wealth, autonomy of the woman, and the use and access to the health system.

RESULTS

The average level of community wealth was significantly and independently associated with chronic malnutrition in early childhood, more than the socioeconomic status of the household itself. At the individual and household level, the probability of chronic malnutrition was higher for children from mothers with low levels of autonomy and use and access to the health system, mothers who had their first child in adolescence, and mothers who live in homes in the lowest wealth quintiles. In contrast, children from mothers with a body mass index > 25 and with at least secondary education (versus no education) were less likely to suffer from chronic malnutrition.

CONCLUSIONS

Research, programs, and interventions need to take into account the physical, economic, and social context of communities to contribute with the improvement of the nutritional status of early childhood in Colombia.

The role of energy in health facilities: A conceptual framework and complementary data assessment in Malawi

Background

Modern energy enables health service delivery. Access to electricity is, however, unreliable in many health facilities in developing countries. Little research has explored the relationships between energy and service delivery.

Methods

Based on extensive literature searches and iterative discussions within the research team, we first develop a conceptual framework of the role of energy in health facilities. We then use this framework to explore how characteristics of electricity supply affect distinct energy uses in health facilities (e.g. lighting), and how functional or non-functional lighting affects the provision of night-time care services in Malawi. To do so we apply descriptive statistics and conduct logistic and multinomial regressions using data from the Service Provision Assessment (SPA) of the Demographic and Health Surveys (DHS) for all health facilities in Malawi in 2013/2014.

Results

The conceptual framework depicts the pathways from different energy types and their characteristics, through to distinct energy uses in health facilities (e.g. medical devices) and health-relevant service outputs (e.g. safe medical equipment). These outputs can improve outcomes for patients (e.g. infection control), facilities (e.g. efficiency) and staff (e.g. working conditions) at facilities level and, ultimately, contribute to better population health outcomes. Our exploratory analysis suggests that energy uses were less likely to be functional in facilities with lower-quality electricity supply. Descriptive statistics revealed a critical lack of functional lighting in facilities offering child delivery and night-time care; surprisingly, the provision of night-time care was not associated with whether facilities had functional lighting. Overall, the DHS SPA dataset is not well-suited for assessing the relationships depicted within the framework.

Conclusion

The framework conceptualizes the role of energy in health facilities in a comprehensive manner. Over time, it should be empirically validated through a combination of different research approaches, including tracking of indicators, detailed energy audits, qualitative and intervention studies.

Malnutrition and Associated Disorders in Tuberculosis and Its Therapy

Tuberculosis (TB) has become the most important infectious disease to see resurgence worldwide. In 2014, there were 9.6 million documented cases worldwide with a mortality of almost 1.5 million (Global Tuberculosis Report 2014). One of the Millennium Development Goals set by the United Nations was the reversal of the TB epidemic, which has been achieved worldwide with an 18% lower incidence of TB globally compared to the incidence in the year 2000. Though efficient intervention has brought down the relative incidence and mortality of TB globally, the fact remains that one third of the world population has latent TB infection, and 10% of people with latent TB infection develop active TB at some point in their life (The Facts about Tuberculosis 1995). Risk factors that prompt the reactivation of latent TB into active TB are a compromised immune system, HIV, malnutrition, and use of tobacco. In developing and underdeveloped economies, malnutrition and undernutrition play a major role in subverting the immune system and reactivating the latent TB infection. Undernutrition is one of the major factors in India and Southeast Asia leading to an increase in TB infections. Once tuberculosis sets in, it leads to an increase in metabolism and a decrease in appetite that compounds the already present malnutrition. Drawing on previous studies, we have aimed at understanding the relationship between malnutrition and TB infection and making minimal recommendations for corrective action.

Early childhood linear growth faltering in low-income and middle-income countries as a whole-population condition: analysis of 179 Demographic and Health Surveys from 64 countries (1993-2015)

BACKGROUND

The causes of early childhood linear growth faltering (known as stunting) in low-income and middle-income countries remain inadequately understood. We aimed to determine if the progressive postnatal decline in mean height-for-age Z score (HAZ) in low-income and middle-income countries is driven by relatively slow growth of certain high-risk children versus faltering of the entire population.

METHODS

Distributions of HAZ (based on WHO growth standards) were analysed in 3-month age intervals from 0 to 36 months of age in 179 Demographic and Health Surveys from 64 low-income and middle-income countries (1993-2015). Mean, standard deviation (SD), fifth percentiles, and 95th percentiles of the HAZ distribution were estimated for each age interval in each survey. Associations between mean HAZ and SD, fifth percentile, and 95th percentile were estimated using multilevel linear models. Stratified analyses were performed in consideration of potential modifiers (world region, national income, sample size, year, or mean HAZ in the 0-3 month age band). We also used Monte Carlo simulations to model the effects of subgroup versus whole-population faltering on the HAZ distribution.

FINDINGS

Declines in mean HAZ from birth to 3 years of age were accompanied by declines in both the fifth and 95th percentiles, leading to nearly symmetrical narrowing of the HAZ distributions. Thus, children with relatively low HAZ were not more likely to have faltered than taller same-age peers. Inferences were unchanged in surveys regardless of world region, national income, sample size, year, or mean HAZ in the 0-3 month age band. Simulations showed that the narrowing of the HAZ distribution as mean HAZ declined could not be explained by faltering limited to a growth-restricted subgroup of children.

INTERPRETATION

In low-income and middle-income countries, declines in mean HAZ with age are due to a downward shift in the entire HAZ distribution, revealing that children across the HAZ spectrum experience slower growth compared to the international standard. Efforts to mitigate postnatal linear growth faltering in low-income and middle-income countries should prioritise action on community-level determinants of childhood HAZ trajectories.

FUNDING

Bill & Melinda Gates Foundation.

Caste matters: perceived discrimination among women in rural India

The aim of this study is to examine the relationship of caste and class with perceived discrimination among pregnant women from rural western India. A cross-sectional survey was administered to 170 pregnant women in rural Gujarat, India, who were enrolled in a longitudinal cohort study. The Everyday Discrimination Scale and the Experiences of Discrimination questionnaires were used to assess perceived discrimination and response to discrimination. Based on self-report caste, women were classified into three categories with increasing historical disadvantage: General, Other Backward Castes (OBC), and Scheduled Caste or Tribes (SC/ST). Socioeconomic class was determined using the standardized Kuppuswamy scale. Regression models for count and binomial data were used to examine association of caste and class with experience of discrimination and response to discrimination. Sixty-eight percent of women experienced discrimination. After adjusting for confounders, there was a consistent trend and association of discrimination with caste but not class. In comparison to General Caste, lower caste (OBC, SC/ST) women were more likely to (1) experience discrimination (OBC OR: 2.2, SC/ST: 4.1; p trend: 0.01); (2) have a greater perceived discrimination score (OBC IRR: 1.3, SC/ST: 1.5; p trend: 0.07); (3) accept discrimination (OBC OR: 6.4, SC/ST: 7.6; p trend: < 0.01); and (4) keep to herself about discrimination (OBC OR: 2.7, SC/ST: 3.6; p trend: 0.04). The differential experience of discrimination by lower caste pregnant women in comparison to upper caste pregnant women and their response to such experiences highlight the importance of studying discrimination to understand the root causes of existing caste-based disparities.

Micronutrient adequacy is poor, but not associated with stunting between 12-24 months of age: A cohort study findings from a slum area of Bangladesh

The prevalence of stunting among children below 5 years of age is higher in the slum-dwelling population of Bangladesh compared to that in both urban and rural areas. Studies have reported that several factors such as inadequate nutrition, low socio-economic status, poor hygiene and sanitation and lack of maternal education are the substantial predictors of childhood stunting. Almost all these factors are universally present in the slum-dwelling population of Bangladesh. However, few studies have prospectively examined such determinants of stunting among slum populations. In this paper, we reveal the findings of a cohort study with an aim to explore the status of micronutrient adequacy among such vulnerable children and establish its association with stunting along with other determinants. Two-hundred-sixty-five children were enrolled and followed since birth until 24 months of age. We collected anthropometric, morbidity and dietary intake data monthly. We used the 24-hour multiple-pass recall approach to collect dietary intake data from the age of 9 months onward. Micronutrient adequacy of the diet was determined by the mean adequacy ratio (MAR) which was constructed from the average intake of 9 vitamins and 4 minerals considered for the analysis. We used generalized estimating equation (GEE) regression models to establish the determinants of stunting between 12–24 months of age in our study population. The prevalence of low-birth-weight (LBW) was about 28.7% and approximately half of the children were stunted by the age of 24 months. The average micronutrient intake was considerably lower than the recommended dietary allowance and the MAR was only 0.48 at 24 months of age compared to the optimum value of 1. However, the MAR was not associated with stunting between 12–24 months of age. Rather, LBW was the significant determinant (AOR = 3.03, 95% CI: 1.69–5.44) after adjusting for other factors such as age (AOR = 2.12, 95% CI: 1.45–3.11 at 24 months and AOR = 1.97, 95% CI: 1.49–2.59 at 18 months, ref: 12 months) and sex (AOR = 1.98, 95% CI: 1.17–3.33, ref: female). Improving the nutritional quality of complementary food in terms of adequacy of micronutrients is imperative for optimum growth but may not be adequate to mitigate under-nutrition in this setting. Further research should focus on identifying multiple strategies that can work synergistically to diminish the burden of stunting in resource-poor settings.

Distinct clusters of stunted children in India: An observational study

Childhood stunting is often conceptualised as a singular concept (i.e., stunted or not), and such an approach implies similarity in the experiences of children who are stunted. Furthermore, risk factors for stunting are often treated in isolation, and limited research has examined how multiple risk factors interact together. Our aim was to examine whether there are subgroups among stunted children, and if parental characteristics influence the likelihood of these subgroups among children. Children who were stunted were identified from the 2005–2006 Indian National Family Health Survey (n = 12,417). Latent class analysis was used to explore the existence of subgroups among stunted children by their social, demographic, and health characteristics. We examined whether parental characteristics predicted the likelihood of a child belonging to each latent class using a multinomial logit regression model. We found there to be 5 distinct groups of stunted children; “poor, older, and poor health‐related outcomes,” “poor, young, and poorest health‐related outcomes,” “poor with mixed health‐related outcomes,” “wealthy and good health‐related outcomes,” and “typical traits.” Both mother and father's educational attainment, body mass index, and height were important predictors of class membership. Our findings demonstrate evidence that there is heterogeneity of the risk factors and behaviours among children who are stunted. It suggests that stunting is not a singular concept; rather, there are multiple experiences represented by our “types” of stunting. Adopting a multidimensional approach to conceptualising stunting may be important for improving the design and targeting of interventions for managing stunting.

Estimating the pathways through which maternal education affects stunting: evidence from an urban cohort in South Africa

OBJECTIVE

To estimate the determinants of stunting using rich data from a birth cohort study from urban South Africa and to examine the various mechanisms, both proximate and distal, through which maternal education affects stunting.

DESIGN

Multivariate regression analysis using birth cohort data, where the outcome variable was stunting at age 2 years, and multiple mediator analysis to identify pathways from maternal education to stunting.

SETTING

South Africa's largest metropolitan area, Soweto-Johannesburg.

SUBJECTS

Participants of Birth to Twenty Plus, a longitudinal cohort study of children born in 1990 (n 691).

RESULTS

In multivariate analysis, the birth weight Z-score (-0·084; P<0·001; 95 % CI -0·11, -0·06), the mother's openness towards modern health care, captured by a vaccination score (-0·05; P=0·04; 95 % CI -0·10, -0·00), and a better-quality care environment (-0·015; P=0·04; 95 % CI -0·03, -0·00) were found to be negatively associated with stunting. Having experienced symptoms of illness related to ears and eyes increased the risk of stunting (0·038; P=0·01; 95 % CI 0·01, 0·07). Results of the mediation analysis showed that maternal education had an indirect effect on stunting largely through socio-economic status and the antenatal environment (measured by the birth weight Z-score).

CONCLUSIONS

Overall, many of the factors that were protective against stunting in the final analysis, whether they operated through maternal education or not, were related to the mother's contribution to the child's life. This reinforces the idea that to minimise stunting, enhanced antenatal and postnatal services to better support and empower mothers may be important.

Boosting for statistical modelling-A non-technical introduction

Boosting algorithms were originally developed for machine learning but were later adapted to estimate statistical models—offering various practical advantages such as automated variable selection and implicit regularization of effect estimates. The interpretation of the resulting models, however, remains the same as if they had been fitted by classical methods. Boosting, hence, allows to use an advanced machine learning scheme to estimate various types of statistical models. This tutorial aims to highlight how boosting can be used for semi-parametric modelling, what practical implications follow from the design of the algorithm and what kind of drawbacks data analysts have to expect. We illustrate the application of boosting in the analysis of a stunting score from children in India and a high-dimensional dataset of tumour DNA to develop a biomarker for the occurrence of metastases in breast cancer patients.

Extending Statistical Boosting

Background: Boosting algorithms to simultaneously estimate and select predictor effects in statistical models have gained substantial interest during the last decade.

Objectives: This review highlights recent methodological developments regarding boosting algorithms for statistical modelling especially focusing on topics relevant for biomedical research.

Methods: We suggest a unified framework for gradient boosting and likelihood-based boosting (statistical boosting) which have been addressed separately in the literature up to now.

Results: The methodological developments on statistical boosting during the last ten years can be grouped into three different lines of research: i) efforts to ensure variable selection leading to sparser models, ii) developments regarding different types of predictor effects and how to choose them, iii) approaches to extend the statistical boosting framework to new regression settings.

Conclusions: Statistical boosting algorithms have been adapted to carry out unbiased variable selection and automated model choice during the fitting process and can nowadays be applied in almost any regression setting in combination with a large amount of different types of predictor effects.

Discussion of “The Evolution of Boosting Algorithms” and “Extending Statistical Boosting”

This article is part of a For-Discussion-Section of Methods of Information in Medicine about the papers “The Evolution of Boosting Algorithms – From Machine Learning to Statistical Modelling” [1] and “Extending Statistical Boosting – An Overview of Recent Methodological Developments” [2], written by Andreas Mayr and co-authors. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the Mayr et al. papers. In sub-sequent issues the discussion can continue through letters to the editor.

CHILD NUTRITIONAL STATUS IN EGYPT: A COMPREHENSIVE ANALYSIS OF SOCIOECONOMIC DETERMINANTS USING A QUANTILE REGRESSION APPROACH

This study examined the underlying demographic and socioeconomic determinants of child nutritional status in Egypt using data from the most recent round of the Demographic and Health Survey. The height-for-age Z-score (HAZ) was used as a measure of child growth. A quantile regression approach was used to allow for a heterogeneous effect of each determinant along different percentiles of the conditional distribution of the HAZ. A nationally representative sample of 13,682 children aged 0-4 years was drawn from the 2014 Egypt DHS. The multivariate analyses included a set of HAZ determinants commonly used in the literature. The conditional and unconditional analyses revealed a socioeconomic gradient in child nutritional status, in which children of low income/education households have a worse HAZ than those from high income/education households. The results also showed significant disparities in child nutritional status by demographic and social characteristics. The quantile regression results showed that the association between the demographic and socioeconomic factors and HAZ differed along the conditional HAZ distribution. Intervention measures need to consider the heterogeneous effect of the determinants of child nutritional status along the different percentiles of the HAZ distribution. There is no one-size-fits-all policy to combat child malnutrition; a multifaceted approach and targeted policy interventions are required to address this problem effectively.

Individual, household, and community level risk factors of stunting in children younger than 5 years: Findings from a national surveillance system in Nepal

Despite substantial reductions in recent years in Nepal, stunting prevalence in children younger than 5 years remains high and represents a leading public health concern. To identify factors contributing to the stunting burden, we report multilevel risk factors associated with stunting in 4,853 children aged 6-59 months in a nationally and agroecologically representative random sample from the first year of the Policy and Science for Health, Agriculture, and Nutrition Community Studies, a community-based observational, mixed-panel study. Mixed effects logistic regressions controlling for multilevel clustering in the study design were used to examine the association of individual-, household-, and community-level factors associated with stunting. Stunting prevalence was 38% in our sample. After adjustment for potential confounding variables, maternal factors, including maternal height and education, were generally the strongest individual-level risk factors for stunting, adjusted odds ratio (AOR) = 2.52, 95% CI [1.96, 3.25], short (<145 cm) versus not short mothers; AOR = 2.09, 95% CI [1.48, 2.96], uneducated mothers versus secondary school graduates. Among the household- and community-level factors, household expenditure and community infrastructure (presence of paved roads, markets, or hospitals) were strongly, inversely associated with increased stunting risk, AOR = 1.68, 95% CI [1.27, 2.24], lowest versus highest household expenditure quintile; AOR = 2.38, 95% CI [1.36, 4.14], less developed (lacking paved roads, markets, or hospitals) versus more developed communities. Although most factors associated with stunting are not rapidly modifiable, areas for future research and possible interventions emerged.

The dietary diversity and stunting prevalence in minority children under 3 years old: a cross-sectional study in forty-two counties of Western China

As a key indicator of childhood malnutrition, few studies have focused on stunting in relation to various socio-economic factors in which disadvantaged groups face in China. We conducted a community-based cross-sectional study incorporating forty-two rural counties in seven western provinces of China in 2011. In total, 5196 children aged 6–23 months were included. We used Poisson regression to examine risk factors for inadequate minimum dietary diversity (MDD) and stunting status, respectively. Overall, the proportion of children not meeting MDD was 44·5 %. Children aged 6–11 months (adjusted risk ratio (ARR)=1·39; 95 % CI 1·31, 1·49), with two siblings (ARR=1·09; 95 % CI 1·02, 1·17), delivered at home (ARR=1·30; 95 % CI 1·20, 1·41), within Yi (ARR=1·15; 95 % CI 1·04, 1·28) or Uighur groups (ARR=1·52; 95 % CI 1·36, 1·71), with an illiterate caregiver (ARR=2·12; 95 % CI 1·52, 2·96), receiving lowest income (ARR=1·32; 95 % CI 1·17, 1·50), and with breast-feeding in the last day (ARR=1·55; 95 % CI 1·44, 1·66) were more likely to have inadequate MDD. Moreover, inadequate MDD was positively associated with stunting (ARR=1·15; 95 % CI 1·01, 1·31). Other determinants for stunting were age, sex, place of delivery, minority group and income. The stunting prevalence and proportion of inadequate MDD remained high in Western China; to reduce stunting rates of ethnic minorities, further efforts addressing appropriate dietary feeding practices are needed, especially within these groups.

Maternal high-risk fertility behavior and association with chronic undernutrition among children under age 5 y in India, Bangladesh, and Nepal: Do poor children have a higher risk?

OBJECTIVES

We aimed to examine whether an association exists between maternal high-risk fertility behavior and chronic undernutrition among children under 5 y of age. In addition, we explored the relationship between poverty and high-risk fertility behavior and the relative roles they play as obstacles in the reduction of the risk of undernutrition among children.

METHODS

The analysis was based on responses from married women ages 15 to 49 who lived with at least one child under the age of 5; and three cross-sectional, nationally representative samples from India, Bangladesh, and Nepal were considered.

RESULTS

Maternal high-risk fertility behavior was associated with an increased risk of chronic undernutrition among children in India, Bangladesh, and Nepal. Multiple high-risk categories appeared to have more profound consequences on the outcomes measured. Findings also demonstrated that with regard to the risk of undernutrition, children of mothers who were either poor or who experienced high-risk fertility were not uniquely disadvantaged.

CONCLUSIONS

The results suggest that with regard to the risk of chronic undernutrition, the negative effect of high-risk fertility behavior extends across all economic backgrounds and is not limited to children of mothers who were either poor or who experienced high-risk fertility.

Women's education level amplifies the effects of a livelihoods-based intervention on household wealth, child diet, and child growth in rural Nepal

Background

Many organizations seek to alleviate poverty in the developing world, often focusing their interventions on women. The role, status, and education of women are fundamentally important facets of development. Thus, understanding the interaction of women’s educational level and the response to interventions is important. Therefore, we examined the impact of educational level of household adults on responses to a livestock-based community intervention.

Methods

Six pair-matched communities in 3 districts of Nepal (Chitwan/Nawalparasi/Nuwakot), were randomly assigned to receive community development activities via women’s self-help groups at baseline or 1 year later. At 6 intervals over 48 months, a 125- item questionnaire addressing family demographics and child health/nutrition was completed in each household, plus child growth monitoring. Results were analyzed in relation to the highest education attained by any woman in the household, the child’s mother, men, or any other adult in the household.

Results

Outcomes (wealth, water/toilet availability, child diet diversity and growth) all significantly related to adult education. However, notable differences were found comparing the impact of men’s and women’s education. Percent change in wealth score was significant only in households where women had primary or secondary education (respectively, p = .0009 and p < .0001). Increased soap use related only to women’s education (p < .0001). When adjusted for group assignment, baseline income, wealth, and animal scores, higher women’s education was significantly associated with increased household wealth (p < .0001), better child height-for-age z scores (HAZ, p = .005), and improved child diet diversity (p = .01). Higher mother’s education predicted better child HAZ (primary, p = .01, secondary, p = .03) and diet diversity (primary, p = .05, secondary, p < .0001). Higher men’s education was significantly associated with household wealth (p = .02) and child diet diversity (p = .04), but not HAZ; higher education of any household member was associated only with household wealth (p < .0001). Moreover, households where the mother’s education was better than the best-educated man also were significantly more likely to have children with better HAZ and dietary diversity (p = .03, p < .0001). Thus, the educational level of women and mothers had the broadest impact on child outcome variables.

Conclusions

Household characteristics vary among participants in most community development projects. Of these, adult education likely mediates response to the inputs provided by the intervention. Particularly in interventions directed towards women, better education may enhance the ability of households to put interventions into practice, thus improving wealth, hygiene, and child diet and growth indices.

The importance of public health, poverty reduction programs and women's empowerment in the reduction of child stunting in rural areas of Moramanga and Morondava, Madagascar

BACKGROUND

Malnutrition accounts for 45% of mortality in children under five years old, despite a global mobilization against chronic malnutrition. In Madagascar, the most recent data show that the prevalence of stunting in children under five years old is still around 47.4%. This study aimed to identify the determinants of stunting in children in rural areas of Moramanga and Morondava districts to target the main areas for intervention.

METHODS

A case-control study was conducted in children aged from 6 to 59.9 months, in 2014-2015. We measured the height and weight of mothers and children and collected data on child, mother and household characteristics. One stool specimen was collected from each child for intestinal parasite identification. We used a multivariate logistic regression model to identify the determinants of stunting using backwards stepwise methods.

RESULTS

We included 894 and 932 children in Moramanga and in Morondava respectively. Stunting was highly prevalent in both areas, being 52.8% and 40.0% for Moramanga and Morondava, respectively. Stunting was most associated with a specific age period (12mo to 35mo) in the two study sites. Infection with Trichuris trichiura (aOR: 2.4, 95% CI: 1.1-5.3) and those belonging to poorer households (aOR: 2.3, 95% CI: 1.6-3.4) were the major risk factors in Moramanga. In Morondava, children whose mother had activities outside the household (aOR: 1.7, 95% CI: 1.2-2.5) and those perceived to be small at birth (aOR: 1.6, 95% CI: 1.1-2.1) were more likely to be stunted, whereas adequate birth spacing (≥24months) appeared protective (aOR: 0.4, 95% CI: 0.3-0.7).

CONCLUSION

Interventions that could improve children's growth in these two areas include poverty reduction, women's empowerment, public health programmes focusing on WASH and increasing acceptability, and increased coverage and quality of child/maternal health services.

Prevalence and Risk of Moderate Stunting Among a Sample of Children Aged 0-24 Months in Brunei

Objectives Globally, one-fifth of the world's children are stunted, however this statistic may be an underestimate as many countries lack comprehensive monitoring of height-for-age. Until a recent national health survey, Negara Brunei Darussalam has lacked the data to offer a comprehensive assessment of height-for-age among children. The aim of this study is to determine the prevalence of and factors associated with stunting among children aged 0-24 months in Negara Brunei Darussalam (Brunei). Methods A cross-sectional analyses of 396 children aged <24 months. Demographic, dietary and anthropometric measurements were recorded. Multivariate logistic regression was used to analyse factors associated with moderate stunting. Results Almost one-quarter of infants (24%) were stunted. Male children and children who were preterm (<37 weeks gestation) were more than twice as likely to be stunted as their counterparts, respectively (OR 2.48; 95% CI 1.49-4.12; OR 2.14; 95% CI 1.06-4.33, respectively). Those who were born low birth weight (<2.5 kg) were three times more likely to be stunted than those born normal birth weight (OR 2.99; 95% CI 1.44-6.17). Conclusions for Practice This study presents data on prevalence of stunting in Brunei based upon the World Health Organization's growth charts. In addition it is also the first time that the factors associated with stunting among infants aged <24 months have been examined in Brunei. The stunting prevalence in Brunei is of concern due to the reported short and long-term negative impact on health later in life. The authors recommend close monitoring of pregnant women who are at risk of delivering low birth weight infants and frequent monitoring of low birth weight infants in line with World Health Organization nutrition goals. Existing height-for-age data should be integrated into global databases.

The effect of maternal and child factors on stunting, wasting and underweight among preschool children in Northern Ghana

Background

Undernutrition among preschool children in Northern region is the highest in Ghana. However, there is scarcity of data on the factors that determine undernutrition in these children. This study investigated the effect of maternal and child factors on undernutrition among preschool children in Northern Ghana.

Methods

This study was a community based analytical cross-sectional survey on a sample of 425 mother- child pairs drawn from 25 clusters. A semi- structured questionnaire was used to collect data on maternal and child socio-demographic characteristics, feeding practices and anthropometry. Anthropometric indices of Height-for-age Z-scores (HAZ), Weight-for-height Z-scores (WHZ) and Weight-for – age Z-scores (WAZ) were used to classify child stunting, wasting and underweight respectively. Bivariate and multivariate analyses were performed to determine associations between explanatory variables and undernutrition.

Results

The prevalence of stunting, wasting and underweight were 28.2, 9.9 and 19.3% respectively. Multiple logistic regression analysis showed that, the odds of stunting was higher among male children [AOR = 1.99; 95% CI (1.26–3.13); p = 0.003], children of mothers less than 150 cm in height [AOR = 3.87; 95% CI (1.34–11.20); p = 0.01], mothers 155–159 cm tall [AOR = 2.21; 95% CI (1.34–3.66); p = 0.002], and older children aged 12–23 months [AOR 9.81; 95% CI (2.85–33.76); p < 0.001]. Wasting was significantly higher among male children [AOR = 2.40; 95% CI (1.189–4.844); p = 0.015], consumption of less than four food groups [AOR = 3.733; 95% CI (1.889–7.376); p < 0.001] and among children of underweight mothers [AOR = 3.897; 95% CI (1.404–10.820); p = 0.009]. Male children [AOR = 2.685; 95% CI (1.205–5.98); p = 0.016] and having low birth weight [AOR = 3.778; 95% CI (1.440–9.911); p < 0.001] were associated with higher odds of underweight in children.

Conclusion

Maternal height associated negatively with stunting but not wasting. Factors that affect low height –for-age z-score (HAZ) may not necessarily be the same as stunting. Infant and child feeding practices as measured by dietary diversity score associated positively with weight-for-height Z-scores than length-for-age Z-scores of young children. Surprisingly, consumption of some specific food groups including, animal source foods, legumes, staples and eggs were associated with lower HAZ but with increased likelihood of higher WHZ among children 6–59 months.

Electronic supplementary material

The online version of this article (doi:10.1186/s40795-017-0154-2) contains supplementary material, which is available to authorized users.

Social determinants of inequalities in child undernutrition in Bangladesh: A decomposition analysis

Socioeconomic inequalities in child undernutrition remain one of the main challenges in Bangladesh. The social determinants of health are mostly responsible for such inequalities across different population groups. However, no study has examined the relative contribution of different social determinants to the socioeconomic inequality in child undernutrition in Bangladesh. Our objective is to measure the extent of socioeconomic-related inequalities in childhood stunting and identify the key social determinants that potentially explain these inequalities in Bangladesh. We used data for children younger than 5 years of age for this analysis from 2 rounds of Bangladesh Demographic and Health Surveys conducted in 2004 and 2014. We examined the socioeconomic inequality in stunting using the concentration curve and concentration index. We then decomposed the concentration index into the contributions of individual social determinants. We found significant inequality in stunting prevalence. The negative concentration index of stunting indicated that stunting was more concentrated among the poor than among the well-off. Our results suggest that inequalities in stunting increased between 2004 and 2014. Household economic status, maternal and paternal education, health-seeking behavior of the mothers, sanitation, fertility, and maternal stature were the major contributors to the disparity in stunting prevalence in Bangladesh. Equity is a critical component of sustainable development goals. Health policymakers should work together across sectors and develop strategies for effective intersectoral actions to adequately address the social determinants of equity and reduce inequalities in stunting and other health outcomes.

Effects of individual, household and community characteristics on child nutritional status in the slums of urban Bangladesh

Background

Bangladesh urban population is expected to overtake rural population by 2040, and a significant part of the increase will be in slums. Wide disparities between urban slums and the rest of the country can potentially push country indicators off track unless the specific health and nutrition needs of the expanding slum communities are addressed. The study aims at describing the individual, household and community determinants of undernutrition status among children living in major urban strata, viz. City Corporation slums and non-slums, in order to understand the major drivers of childhood undernutrition in urban slum settings.

Methods

Data are derived from Bangladesh Urban Health Survey conducted in 2013. This survey is a large-scale, nationally representative of urban areas, household survey designed specifically to provide health and nutrition status of women and children in urban Bangladesh.

Results

Data showed that 50% of under-5 children in slums are stunted and 43% are underweight, whereas for non-slums these rates are 33 and 26% respectively. In terms of severity, proportion of under-5 children living in slums severely underweight or stunted are nearly double than the children living in non-slums. Logistic analyses indicate that mother’s education, child’s age, and household’s socio-economic status significantly affects stunting and underweight levels among children living in the urban slums. Logistic models also indicate that all individual-level characteristics, except exposure to mass media and mother’s working outside home, significantly affect undernutrition levels among children living on non-slums. Among the household- and community-level characteristics, only household’s socioeconomic status remains significant for the non-slums.

Conclusions

Poor nutritional status is a major concern in slum areas, particularly as this group is expected to grow rapidly in the next few years. The situation calls for specially designed and well targeted interventions that take into account that many of the mothers are poorer and less educated, which affects their ability to provide care to their children.

Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis

Background

Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012.

Methods

We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year.

Results

Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007–2008 onwards. The departments with the highest annual stunting reduction were Cusco (−2.31%), Amazonas (−1.57%), Puno (−1.54%), Huanuco (−1.52%), and Ancash (−1.44). Those with the lowest reduction were Ica (−0.67%), Ucayali (−0.64%), Tumbes (−0.45%), Lima (−0.37%), and Tacna (−0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments.

Conclusions

Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children’s nutrition.

Electronic supplementary material

The online version of this article (doi:10.1186/s12887-017-0790-3) contains supplementary material, which is available to authorized users.

Differential effects of dietary diversity and maternal characteristics on linear growth of children aged 6-59 months in sub-Saharan Africa: a multi-country analysis

OBJECTIVE

To investigate the differential effects of dietary diversity (DD) and maternal characteristics on child linear growth at different points of the conditional distribution of height-for-age Z-score (HAZ) in sub-Saharan Africa.

DESIGN

Secondary analysis of data from nationally representative cross-sectional samples of singleton children aged 0-59 months, born to mothers aged 15-49 years. The outcome variable was child HAZ. Quantile regression was used to perform the multivariate analysis.

SETTING

The most recent Demographic and Health Surveys from Ghana, Nigeria, Kenya, Mozambique and Democratic Republic of Congo (DRC).

SUBJECTS

The present analysis was restricted to children aged 6-59 months (n 31 604).

RESULTS

DD was associated positively with HAZ in the first four quantiles (5th, 10th, 25th and 50th) and the highest quantile (90th) in Nigeria. The largest effect occurred at the very bottom (5th quantile) and the very top (90th quantile) of the conditional HAZ distribution. In DRC, DD was significantly and positively associated with HAZ in the two lower quantiles (5th, 10th). The largest effects of maternal education occurred at the lower end of the conditional HAZ distribution in Ghana, Nigeria and DRC. Maternal BMI and height also had positive effects on HAZ at different points of the conditional distribution of HAZ.

CONCLUSIONS

Our analysis shows that the association between DD and maternal factors and HAZ differs along the conditional HAZ distribution. Intervention measures need to take into account the heterogeneous effect of the determinants of child nutritional status along the different percentiles of the HAZ distribution.

Impact of contaminated household environment on stunting in children aged 12-59 months in Burkina Faso

BACKGROUND

Stunting affects 165 million children worldwide, with repercussions on their survival and development. A contaminated environment is likely to contribute to stunting: frequent faecal-oral transmission possibly causes environmental enteropathy, a chronic inflammatory disorder that may contribute to faltering growth in children. This study's objective was to assess the effect of contaminated environment on stunting in Burkina Faso, where stunting prevalence is persistently high.

METHODS

Panel study of children aged 1-5 years in Kaya. Household socioeconomic characteristics, food needs and sanitary conditions were measured once, and child growth every year (2011-2014). Using multiple correspondence analysis and 12 questions and observations on water, sanitation, hygiene behaviours, yard cleanliness and animal proximity, we constructed a 'contaminated environment' index as a proxy of faecal-oral transmission exposure. Analysis was performed using a generalised structural equation model (SEM), adjusting for repeat observations and hierarchical data.

RESULTS

Stunting (<2 SD height-for-age) prevalence was 29% among 3121 children (median (IQR) age 36 (25-48) months). Environment contamination was widespread, particularly in rural and peri-urban areas, and was associated with stunting (prevalence ratio 1.30; p=0.008), controlling for sex, age, survey year, setting, mother's education, father's occupation, household food security and wealth. This association was significant for children of all ages (1-5 years) and settings. Lower contamination and higher food security had effects of comparable magnitude.

CONCLUSIONS

Environment contamination can be at least as influential as nutritional components in the pathway to stunting. There is a rationale for including interventions to reduce environment contamination in stunting prevention programmes.

How is perceived community cohesion and membership in community groups associated with children's dietary adequacy in disadvantaged communities? A case of the Indian Sundarbans

Background

Membership in community groups and a sense of community cohesion may facilitate collective action in mobilizing resources towards better health outcomes. This paper explores the relationship of these factors, along with individual level socio-economic variables, to dietary adequacy among children below 6 years of age, a proximate determinant of child malnutrition.

Methods

We conducted a cross-sectional survey in Patharpratima block of the Sundarbans in West Bengal, India, using a two-stage, 30 cluster random sampling design. In 1200 sampled households, we used a structured questionnaire to interview mothers of children below 6 years of age on their child’s nutritional intake. We also interviewed household heads to assess perceived community cohesion using a nine item scale, membership in any community self-help organization, and other socio-economic determinants. We used a logistic regression model to assess their association with a minimum acceptable diet among children between 6 months to 6 years.

Results

Only 9.33 % children between 6 and 71 months of age received a minimum acceptable diet. With each increase in the perceived community cohesion score (scale 0-9), a child is 1.31 times more likely to have minimum acceptable diet (95 % CI 1.14, 1.50). The odds of minimum acceptable diet were also higher among children whose mothers had primary education (2.09, 95 % CI 1.03, 2.94) as compared to illiterate mothers and in households with surplus food resources (2.72, 95 % CI 1.32, 5.58) as compared to those without surplus or deficit. In contrast, registering at an Anganwadi (government early child development) centre (odds ratio 1.34 95 % CI 0.69, 2.60) and community membership (odds ratio 0.93, 95 % CI 0.59, 1.46) were not associated with minimum acceptable diet.

Conclusion

The results are consistent with what is known about the importance of maternal education and access to food resources in ensuring that children have a minimum acceptable diet. Perceived community cohesion seems to play a positive role in children’s diets. Further research needs to clarify which community characteristics and services are the most relevant, how they can better support children’s diets, and how interventions can strengthen these community characteristics and services.

Determinants of age-specific undernutrition in children aged less than 2 years-the Bangladesh context

Globally, undernutrition affects nearly half of all children aged less than 5 years. It is more prominent in low- and middle-income countries. This study aimed to identify the age-specific risk factors for different categories of undernutrition among Bangladeshi children aged less than 2 years. Data of 10,291 children aged less than 2 years were collected between October 2011 to November 2013 through the Food Security Nutritional Surveillance Project in Bangladesh. Simple logistic regression established bivariate relationships between the categories of undernutrition and the relevant risk factors. Multiple logistic regression constructed the age-specific regression models depicting the independent association and effect size of the risk factors contributing to the various categories of undernutrition among study population. Stunting was prevalent among 30.9% of the study children, whereas 9.7% were wasted and 24.9% were underweight. Being a male child, increase in age, maternal body mass index and education, and household food insecurity were the strongest predictors for all categories of undernutrition in terms of effect size. Our study shows that the different categories of childhood undernutrition have different age-specific risk factors. Maternal body mass index and household food insecurity were the common age-specific risk factors for all categories of undernutrition. We expect our findings to enhance the existing evidence base for the risk factors of undernutrition among children aged less than 2 years.

Association between household unavailability of iodized salt and child growth: evidence from 89 demographic and health surveys

BACKGROUND

Although a strong biological basis exists for a role of iodine in somatic growth failure in childhood, this relation has not been previously studied on a large scale to our knowledge.

OBJECTIVE

We investigated if a general association exists between the household unavailability of iodized salt and child growth across countries.

DESIGN

We used 89 nationally representative, repeated, cross-sectional and mutually comparable demographic and health surveys that were conducted between 1994 and 2012 across 46 low- and middle-income countries. We analyzed the data for the outcome variables of stunting (low height-for-age), underweight (low weight-for-age), wasting (low weight-for-height), and low birth weight in children aged between 0 and 59 mo at the time of the interview with the use of logistic regression models. Our samples consisted of 390,328 children for the stunting analysis, 397,080 children for the underweight analysis, 384,163 children for the wasting analysis, and 187,744 children for the low-birth-weight analysis. Models were adjusted for individual, maternal, and household covariates and fixed effects on the level of the primary sampling unit.

RESULTS

In the fully adjusted models, the unavailability of iodized salt was associated with 3% higher odds of being stunted (95% CI of ORs: 1.00, 1.06; P = 0.04), 5% higher odds of being underweight (95% CI: 1.02, 1.09; P < 0.01), and 9% higher odds of low birth weight (95% CI: 1.02, 1.17; P = 0.01). When India was excluded from the sample, the association was only statistically significant (P = 0.05) for low birth weight.

CONCLUSION

Although we did not establish causality in our analysis, the findings might indicate that the causal effect of iodized salt on child growth, if it exists, is most profound in utero and is not universally effective across all countries with respect to longer-run child-growth outcomes such as stunting and underweight.

SIBLING- AND FAMILY-LEVEL CLUSTERING OF UNDERWEIGHT CHILDREN IN NORTHERN INDIA

Child undernutrition remains a major child health and developmental issue in low- and middle-income countries. The concentration (clustering) of underweight children among siblings at the family level is known to exist in India. This study examined the extent and covariates of clustering of underweight children at the sibling and family level in Uttar Pradesh, the largest state of northern India. Clustering of underweight (low weight-for-age) children was assessed using data on 7533 under-five children from the National Family Health Survey (NFHS) conducted in 2005-06, analysed using binary logistic and binomial regression models. Related bio-demographic, socioeconomic and health care variables were used as covariates in the models. The odds of being underweight for the index child were about two times higher (OR=2.34, p<0.001) if any of the siblings within the household was malnourished or underweight. A longer birth interval increased the odds of a child being underweight. The odds of underweight were significantly lower (OR=0.69, p<0.001) for children born to normal-weight mothers compared with those born to underweight mothers. Similarly, the odds of underweight were significantly lower (OR=0.49, p=0.01) for children born to educated mothers (high school and above) compared with those born to illiterate mothers. The results of the binomial regression model suggested that the deviations between observed and expected number of children were positive (3.09, 3.78 and 2.71) for 1, 2 and 2+ underweight children within the households of underweight women, indicating the concentration of underweight children among underweight/malnourished mothers. Underweight children were found to be clustered among underweight mothers with multiple underweight siblings. The findings suggest that policy interventions need to focus on underweight mothers with multiple underweight children.