Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh

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

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

Risk factors of child malnutrition under 5 years: Evidence from Pakistan using the Composite Index of Anthropometric Failure

OBJECTIVES

Child malnutrition is a very serious health issue globally, particularly in emerging countries. Among South Asian countries, Pakistan has been observed to have a high prevalence of child malnutrition. In spite of the implementation of many health strategies and preventive measures for vulnerable populations, this issue is still unresolved and needs further investigation. The purpose of this study was to investigate the role of various social-, maternal-, and child-level factors considered to be responsible for nutritional health disparities among children.

METHODS

An assessment method of malnutrition, i.e., Composite Index of Anthropometric Failure (CIAF), was used to detect the prevalence of malnutrition among children under 5 years of age in Pakistan in order to present a comprehensive view that was lacking conventional indices of malnutrition. A binary logistic regression model was fitted to assess the link between malnutrition and socioeconomic, maternal, and child attributes based on CIAF data compiled from weight-for-height, weight-for-age, and height-for-age Z-scores using data from the Pakistan Demographic Health Survey (2017-2018).

RESULTS

A total of 4224 children under 5 years of age were included in the analysis. Approximately half of the children (45.34%) comprised anthropometric failures for the overall prevalence of undernutrition based on CIAF. The results of this study revealed that the leading determinant associated with CIAF was the child's age in months, small birth size, lack of breastfeeding, lack of maternal education, poor economic status of the household, and poor-quality water sources. The factors associated with stunting comprised the child's age in months, small child birth size, underweight maternal body mass index, and uneducated mothers. Only one factor-low household economic profile-was significantly associated with waste. Sindh, Baluchistan, and Khyber Pakhtunkhwa provinces had a higher risk of having wasted children. On the other hand, children aged 25-36 months had higher, small child birth size, underweight maternal BMI, un-educated mother, un-educated father, low economic profile of household experiencing of being underweight.

CONCLUSIONS

The findings of this study reinforce the significance of maternal health, parental education, and household economic profile in the prevention of malnutrition within young children of adequate birth size, as well as better overall health care up to adolescence in Pakistan. Well-nourished individuals are a valuable human resource and a requirement for a nation's progress and prosperity. In emerging nations such evidence-based policies are crucial for fostering children's optimal physical and mental development to ensure a healthier future generation. Therefore, the execution of national health policies aimed at the improvement of maternal and societal factors could result in improved nutrition levels among children below 5 years of age in Pakistan.

Prevalence and associated factors of coexisting forms of malnutrition in children under 5 years age in a rural area of Cameroon

BACKGROUND

Malnutrition of children under 5 years of age is persistent in Cameroon principally in rural areas. Moreover, there is limited knowledge of coexisting forms of malnutrition (CFM) among children of this age. Therefore, the aim of this study was to assess the prevalence of CFM in a cohort of children under 5 years and to identify the associated factors.

METHODS

A cross-sectional study was conducted in the Health Districts of the locality of Dschang in the West region of Cameroon between June 2021 to November 2021. Data were collected from 200 under-five children of both sexes and an interviewer-administered questionnaire was administered to consented children's mothers/guardians. Malnutrition in children was assessed by WHO growth standards (weight-for-height, weight-for-age, height-for-age and body mass index-for-age). The different CFM were defined by the presence of two autonomous forms of malnutrition in the same child. Logistic regression analyses were done to identify factors associated to different coexisting forms of malnutrition.

RESULTS

The results obtained showed prevalences of 4.20% for the coexistence of underweight with wasting, 7.8% for the coexistence of underweight with stunting and 14.8% for the coexistence of stunting with overweight. Lower maternal age (15-24 years old; OR = 0.09; p = 0.05) and lower education level (primary education, OR = 23.33; p = 0.00) were associated with the coexistence of underweight with wasting. Marital status (single mother, OR = 0.28; p = 0.00) was associated to the coexistence of stunting with overweight/obesity.

CONCLUSION

The findings of this study provide evidence on the coexistence of different forms of malnutrition among children below five years of age in rural area of Cameroon. These finding would guide future research, policies, and programs on the management of malnutrition in rural areas of Cameroon.

Determinants of aggregate anthropometric failure among children under-five years in Ethiopia: Application of multilevel mixed-effects negative binomial regression modeling

Undernutrition significantly contributes to failure to thrive in children under five, with those experiencing multiple forms of malnutrition facing the highest risks of morbidity and mortality. Conventional markers such as stunting, wasting, and underweight have received much attention but are insufficient to identify multiple types of malnutrition, prompting the development of the Composite Index of Anthropometric Failure (CIAF) and the Composite Index of Severe Anthropometric Failure (CISAF) as an aggregate indicators. This study aimed to identify factors associated with CIAF and CISAF among Ethiopian children aged 0-59 months using data from the 2019 Ethiopia Mini Demographic and Health Survey. The study included a weighted sample of 5,259 children and used multilevel mixed-effects negative binomial regression modeling to identify determinants of CIAF and CISAF. The result showed higher incidence-rate ratio (IRR) of CIAF in male children (adjusted IRR = 1.27; 95% CI = 1.13-1.42), children aged 12-24 months (aIRR = 2.01, 95%CI: 1.63-2.48), and 24-59 months (aIRR = 2.36, 95%CI: 1.91-2.92), those from households with multiple under-five children (aIRR = 1.16, 95%CI: 1.01-1.33), poorer households (aIRR = 1.48; 95%CI: 1.02-2.15), and those who lived in houses with an earthen floor (aIRR = 1.37, 95%CI: 1.03-1.82). Similarly, the factors positively associated with CISAF among children aged 0-59 months were male children (aIRR = 1.47, 95% CI = 1.21-1.79), age group 6-11 months (aIRR = 2.30, 95%CI: 1.40-3.78), age group 12-24 months (aIRR = 3.76, 95%CI: 2.40-5.88), age group 25-59 months (aIRR = 4.23, 95%CI: 2.79-6.39), children from households living with two and more under-five children (aIRR = 1.27, 95%CI:1.01-1.59), and children from poorer households (aIRR = 1.93, 95% CI = 1.02-3.67). Children were more likely to suffer from multiple anthropometric failures if they were: aged 6-23 months, aged 24-59 months, male sex, living in households with multiple under-five children, and living in households with poor environments. These findings underscore the need to employ a wide range of strategies to effectively intervene in multiple anthropometric failures in under-five children.

Anthropometric failure and associated factors among children aged 6-23 months in Ethiopia

Undernutrition in childhood is a crucial public health issue in Ethiopia. Yet, more than an assessment of undernutrition using conventional index is needed to conclude the overall prevalence of undernutrition among children aged 6-23 months. Therefore, this study aimed to assess the prevalence of undernutrition using composite index of anthropometric failure and its associated factors among children aged 6-23 months in Southwest Ethiopia. A community-based cross-sectional study was employed among 440 mother-child pairs selected using a two-stage cluster sampling method in the rural Kersa district, Jimma Zone, Southwest Ethiopia. A pretested structured questionnaire was used to collect data. Multivariable logistic regression analysis was employed to identify factors associated with undernutrition. Variables with a p-value of <.05 were considered statistically significant. The proportion of undernutrition using composite indexes of anthropometric failure was 57.3% among children aged 6-23 months. Children being male [AOR = 1.55; 95% CI (1.013, 2.373)], not met minimum acceptable diet (MAD) [AOR = 2.104; 95% CI (1.05, 4.214)], larger family size [AOR = 1.699; 95% CI (1.0791, 2.675)], having comorbidity [AOR = 3.31; 95% CI (2.068, 5.327)], and being in food insecurity household [AOR = 3.12; 95% CI (2.0, 4.868)] were more likely to be in anthropometric failure, whereas children from the mother who attended higher and above schooling [AOR = 0.244; 95% CI (0.093, 0.641)] were less likely to be in anthropometric failure. More than half of children aged 6-23 months were experienced anthropometric failure. Male children, those who have not received the MAD, come from larger families, have comorbidities, live in food-insecure households, and have mothers with higher education levels were found to be at higher risk of anthropometric failure.

Spatial regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia

BACKGROUND

There are a number of previous studies that investigated undernutrition and its determinants in Ethiopia. However, the national average in the level of undernutrition conceals large variation across administrative zones of Ethiopia. Hence, this study aimed to determine the geographic distribution of composite index for anthropometric failure (CIAF) and identify the influencing factors it' might be more appropriate.

METHODS

We used the zonal-level undernutrition data for the under-five children in Ethiopia from the Ethiopian Demographic and Health Survey (EDHS) dataset. Different spatial models were applied to explore the spatial distribution of the CIAF and the covariates.

RESULTS

The Univariate Moran's I statistics for CIAF showed spatial heterogeneity of undernutrition in Ethiopian administrative zones. The spatial autocorrelation model (SAC) was the best fit based on the AIC criteria. Results from the SAC model suggested that the CIAF was positively associated with mothers' illiteracy rate (0.61, pvalue 0.001), lower body mass index (0.92, pvalue = 0.023), and maximum temperature (0.2, pvalue = 0.0231) respectively. However, the CIAF was negatively associated with children without any comorbidity (-0.82, pvalue = 0.023), from families with accessibility of improved drinking water (-0.26, pvalue = 0.012), and minimum temperature (-0.16).

CONCLUSION

The CIAF across the administrative zones of Ethiopia is spatially clustered. Improving women's education, improving drinking water, and improving child breast feeding can reduce the prevalence of undernutrition (CIAF) across Ethiopian administrative zones. Moreover, targeted intervention in the geographical hotspots of CIAF can reduce the burden of CIAF across the administrative zones.

Risk factors for moderate acute malnutrition among children with acute diarrhoea in India and Tanzania: a secondary analysis of data from a randomized trial

BACKGROUND

Moderate acute malnutrition (MAM) affects over 30 million children aged < 5 years worldwide. MAM may confer a greater risk of developing severe malnutrition and even mortality in children. Assessing risk factors for MAM may allow for earlier recognition of children at risk of deleterious health outcomes.

OBJECTIVE

To determine risk factors associated with the prevalence and development of MAM among children aged 6 to 59 months with acute diarrhoea who received treatment with oral rehydration solution and zinc supplementation.

METHODS

We conducted a secondary analysis of data from a randomized, dose-finding trial of zinc among children with acute diarrhoea in India and Tanzania. We used regression models to assess risk factors for prevalent MAM at the start of diarrhoea treatment and to identify risk factors associated with the development of MAM at 60 days. MAM was defined as weight for length (or height) Z score ≤-2 and > -3 or mid-upper arm circumference < 12.5 and ≥ 11.5 cm.

RESULTS

A total of 4,500 children were enrolled; 593 (13.2%) had MAM at the baseline. MAM at baseline was significantly less common among children in Tanzania than in India (adjusted risk ratio [aRR] 0.37, 95% confidence interval [CI]: 0.30, 0.44, P < 0.001), in children aged 24- < 60 months versus 6- < 12 months (aRR 0.46, 95% CI: 0.38, 0.56, P < 0.001), and in families with household wealth index higher than the median (aRR 0.79, 95% CI: 0.68, 0.92, P = 0.002). Sixty days after outpatient treatment and follow-up, 87 (2.5%) children developed MAM. When compared to children aged 6- < 12 months, children aged 24- < 60 months had a 52% lower risk of developing MAM. Every one unit increase in weight for length (or height) Z score at enrolment was associated with a 93% lower risk of developing MAM during follow-up.

CONCLUSIONS

Among children with diarrhoea, younger children and those from households with lower wealth were at greater risk of MAM. These children may benefit from targeted interventions focusing on feeding (targeted nutrition support for at-risk households) and follow up in order to reduce the occurrence of MAM and its consequences.

Unraveling the South Asian enigma: concurrent manifestations of child anthropometric failures and their determinants in selected South Asian countries

Malnutrition among children is pervasive in South Asia and there are also reports of overnutrition. To better understand this phenomenon, we need a composite measure. However, the existing measures such as CIAF (Composite Index of Anthropometric Failure) and its revised version have ignored the overnutrition aspect of the phenomenon. This study proposes an extended version of CIAF which also considers overnutrition. This new measure was compared with the existing measures by using data from 1990 to 2018 for three selected South Asian countries including Pakistan, India and Bangladesh. We also examined the effects of socioeconomic and environmental variables on the outcome variable. The results reveal that the new measure (ECIAF) is better at measuring the phenomena. The burden of overall malnutrition has been decreased in the region. However, an increase in the concomitant prevalence of wasting and underweight is observed in both Pakistan and India and stunting and overweight is observed only in India. Besides, political stability, prevalence of undernourishment, anemia in children, mother's education, household size, dependency ratio, air pollution and unimproved sanitation are significantly correlated with childhood malnutrition. The findings also testified to long-run cointegrating relationship among the variables.

Determinants of coexisting forms of undernutrition among under-five children: Evidence from the Bangladesh demographic and health surveys

In many underdeveloped and developing countries, epidemiological and nutritional transitions are leading to an increase in malnutrition, resulting in pediatric diseases and eventually deaths. Therefore, this study intents to determine the important factors of the presence of coexisting forms of malnutrition (CFM), i.e., pediatric undernutrition. This study used the latest Bangladesh Demographic and Health Survey (BDHS)-2017/18 dataset consisting of 7127 under-five children. The logistic regression model has been utilized to gain explicit and in-depth knowledge of the relationship between the presence of pediatric undernutrition with socioeconomic and demographic factors. Findings revealed that about 31%, 22%, and 8% suffered from stunted, underweight, and wasted, respectively. The prevalence of stunted, underweighted, wasted, and CFM among children in the Sylhet division is higher than in any other region. A child of a secondary-level completed mother is 27.6% (OR: 0.724, 95% CI: 0.58-0.90) less likely to suffer from undernutrition than a child of an uneducated mother. The rate of undernutrition of children was less among children of highly educated parents. Age, birth order of the child, twin status, mother's age, body mass index (BMI), working status, parental educational qualification, cooking fuel, toilet facility, region, residence, and wealth index are important for determining the nutritional status of a child. The authors believe that the study findings will be helpful to the policymakers to take proper actions for achieving the sustainable development goal (SDGs) by reducing pediatric undernutrition in Bangladesh by 2030.

Prevalence and factors associated with severe undernutrition among under-5 children in Bangladesh, Pakistan, and Nepal: a comparative study using multilevel analysis

Despite economic growth and poverty reduction, under-5 child undernutrition is still rampant in South Asian countries. This study explored the prevalence and risk factors of severe undernutrition among under-5 children in Bangladesh, Pakistan, and Nepal for comparison using the Composite Index of Severe Anthropometric Failure. We utilised information on under-5 children from recent Demographic Health Surveys. We used multilevel logistic regression models for data analysis. The prevalence of severe undernutrition among under-5 children was around 11.5%, 19.8%, and 12.6% in Bangladesh, Pakistan, and Nepal, respectively. Children from the lowest socioeconomic quintile, and children born with low birth weight were key factors associated with severe undernutrition in these countries. The factors, parental education, maternal nutritional status, antenatal and postnatal care, and birth order were not homogeneous in explaining the determinants of child severe undernutrition across the countries. Our results suggest that the poorest households, and low birth weight of children have significant effects on severe undernutrition among under-5 children in these countries, which should be considered to formulate an evidence-based strategy to reduce severe undernutrition in South Asia.

Mapping Concurrent Wasting and Stunting Among Children Under Five in India: A Multilevel Analysis

Objectives: The study aims to examine the coexisting forms, patterns, and predictors of concurrent wasting and stunting (WaSt) among children under five in India. Methods: We used data from the National Family Health Survey to understand the trend and association of WaSt among children under five-year-old in India. Univariate analysis and cross-tabulations were performed for WaSt cases. The association was determined using multilevel binary logistic regression and multilevel regression, and the results were provided as adjusted odds ratios (aOR) with 95% confidence intervals at the significance level of p < 0.05. Results: The prevalence of WaSt has decreased from 8.7% in 2005-06 to 5.2 percent in 2019-2020. The proportion of WaSt children grew rapidly from 6 to 18 months, peaked at 19 months (8%), then dropped after 24 months. The prevalence of concurrent wasting and stunting is higher among boys compared to girls. Compared to children of different birth orders, those in the higher birth order are 1.2 times more likely to be WaSt cases (aOR = 1.20, 95% CI = 1.09, 1.33). The education of the mother is strongly correlated with WaSt instances, and children of more educated mothers have a 47% lower chance of being WaSt cases (aOR = 0.63, 95% CI = 0.57, 0.71). Children from wealthy families are 52% less likely to be WaSt cases (aOR = 0.48, 95% CI = 0.43, 0.55). Conclusion: This study emphasizes the importance of concurrent wasting and stunting and its relationship with socioeconomic factors among children under five in India.

Site-Specific Analysis of the Incidence Rate of Enterotoxigenic Escherichia coli Infection Elucidates an Association with Childhood Stunting, Wasting, and Being Underweight: A Secondary Analysis of the MAL-ED Birth Cohort

Asymptomatic infection by fecal enteropathogens is a major contributor to childhood malnutrition. Here, we investigated the incidence rate of asymptomatic infection by enterotoxigenic Escherichia coli (ETEC) and assessed its association with childhood stunting, wasting, and being underweight among children under 2 years of age. The Malnutrition and Enteric Disease birth cohort study included 1,715 children who were followed from birth to 24 months of age from eight distinct geographic locations including Bangladesh, Brazil, India, Peru, Tanzania, Pakistan, Nepal, and South Africa. The TaqMan array card assay was used to determine the presence of ETEC in the nondiarrheal stool samples collected from these children. Poisson regression was used to estimate the incidence rate, and multiple generalized estimating equations with binomial family, logit link function, and exchangeable correlation were used to analyze the association between asymptomatic ETEC infection and anthropometric indicators such as stunting, wasting, and being underweight. The site-specific incidence rates of asymptomatic ETEC infections per 100 child-months were also higher at the study locations in Tanzania (54.81 [95% CI: 52.64, 57.07]) and Bangladesh (46.75 [95% CI: 44.75, 48.83]). In the Bangladesh, India, and Tanzania sites, the composite indicator of anthropometric failure was significantly associated with asymptomatic ETEC infection. Furthermore, a significant association between asymptomatic heat-stable toxin ETEC infections and childhood stunting, wasting, and being underweight was found in only the Bangladesh and Tanzania sites.

Regional Distribution of the Anthropometric Failure among Under-five Children and Its Determinants in India

Background

Undernutrition in children seems to be one of the major health issues in developing nations including India. Stunting, underweight, and wasting are the three most often used anthropometric indicators to evaluate childhood undernutrition. Children who exhibit one or more indicators of undernutrition are considered as anthropometric failure (AF). The present study aims to determine the distribution and determinants of anthropometric failure in children under the age of five in different regions of India.

Methods

NFHS-5 data, collected between 2019 and 2021, were utilized for the study. Pearson's chi-square (χ2) test was used to look into the association between categorical variables. Binary logistic regression was used to find the explanatory factors that influence anthropometric failure.

Results

More than half of the under-five children (52.18%) in India are suffering from anthropometric failure, out of these West (57.88%), East (56.58%), and Central (53.94%) regions have covered half of the total occurrence. State-wise, Bihar (61.66%), followed by Gujarat (60.26%), and Jharkhand (58.05%) have recorded the highest rates of anthropometric failure. Anthropometric failure is higher among anemic children, boys, parent not alives, the higher number of birth order, lower educated mothers, rural dwellers, belonging to scheduled tribes and scheduled castes communities, living in nuclear families, and having lower household wealth indexes than their other counterparts.

Conclusion

These aspects imply that regional determinants should be taken into consideration when implementing child nutrition development programs.

Rural child health in India: the persistent nature of deprivation, undernutrition and the 2030 Agenda

The 2030 Agenda for sustainable development was launched to achieve Sustainable Development Goals (SDGs) across the globe. This paper is based on the primary database to assess the nutritional status of 5-10 years children and the incidence of deprivation in their households of a backward district (Purulia), India in the context of the first two SDGs, e.g., no poverty and zero hunger. We conclude that around 74% of children are undernourished. The proportion of households multidimensionally deprived is 90%, and the majority of them live on less than $1.25 a day. Results reveal that the BMI of mother and the education of father are the two most statistically significant predictors of child malnutrition. Purulia has long been witnessing the persistent nature of deprivation, which is well reflected in the child's health. The district is quite far from the national targets in achieving the SDGs. Government, private sector, and civil society must come together to accelerate the progress of SDGs.

Determinants of Child Stunting, Wasting, and Underweight: Evidence from 2017 to 2018 Pakistan Demographic and Health Survey

Child malnutrition persists in low-resource countries such as Pakistan, indicating an urgent need for interventions and policies aimed to address this critical population health issue. The World Health Organization Global Target 2025 includes the reduction of malnourishment in the form of stunting, wasting, and low weight. This study aims to examine the prevalence of factors associated with three measures of child malnutrition, i.e., stunting, wasting, and low weight in Pakistan. This study uses a secondary data analysis design based on data from Pakistan Demographic and Health Survey (2017-18) that used a two-stage cluster sampling approach. National level data covering urban and rural areas were used for this study consisting of 4,226 children less than 5 years of age. Univariate and multivariable analyses using logistic regression models were conducted. Over 23% of the children were underweight, 8.0% suffered wasting, and 37.7% were stunted. Children with small size at birth (<45.7 cm), those who were average in size (45.7 to 60 cm) at birth were less likely to be stunted (AOR, 0.4890) and underweight (AOR, 0.538). Children with large size at birth (>60 cm) were also less likely to be stunted (AOR, 0.288) and underweight (AOR, 0.538). Children who consumed fresh milk were less likely to be classified as wasted (AOR, 0.524) than those children who did not consume fresh milk. The children in high- and middle-economic status families were less likely to be stunted, underweight, or wasted. Children of mothers who had secondary and higher education were less likely to be stunted (AOR, 0.584) and were less likely to be underweight (AOR, 0.668) than illiterate mothers' children. Children of working mothers were less likely to be wasted compared to children of nonworking mothers (AOR, 0.287). Maternal BMI is also inversely associated with being underweight because overweight and obese mothers were less likely to have underweight children (AOR, 0.585). Our findings reflect a need to design targeted public health policies and community-based education that emphasize the mother's education on nutrition health and provide socioeconomic resources that enable mothers to provide dietary needs that prevent malnutrition.

Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017-2018)

The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children's in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017-18) and was analyzed by implementing quantile regression analysis. The sample size included 12,708 alive children in the study, for which the data collection period was from November 22, 2017, to April 30, 2018. The prevalence of malnutrition among boys is high (51.2%). Older age mother's children have more prevalence of malnutrition (20.7%). A child born with small body size (underweight: Q_0.25: - 0.625; Q_0.50: - 0.623; Q_0.75: - 0.426 and wasting: Q_0.50: - 0.513); having uneducated mother (underweight: Q_0.25: - 0.387; Q_0.50: - 0.247; Q_0.75: - 0.328), belonged to a poor household (underweight: Q_0.50: - 0.251),residing in rural areas (underweight: Q_0.25: - 0.443), not following properly breastfeeding practices (underweight: Q_0.50: - 0.439; Q_0.75: - 0.438) have negative effect on different measures of malnutrition and this effect is significantly raises across different quantiles of stunting , wasting and underweight (at p value < 0.01 and < 0.05). Older age mother (stunting: Q_0.50: 0.777; Q_0.75: 1.078; underweight Q_0.20: 0.568; Q_0.50: 0.429; Q_0.75: 0.524) and higher birth order number (stunting: Q_0.50: 0.415; Q_0.75: 0.535), have a positive effect on three measures of under-nutrition and this effect is gradual raises at different quantile of stunting, wasting and underweight. Elder and smoker mothers were proved associated risk factors of both stunting and being underweight in Pakistan. Moreover, Proper breastfeeding practices, better economic status, average or above the average birth weight of the child, and milk consumption are found protective factors against stunting, wasting, and underweight children in Pakistan.

Assessment of undernutrition using the composite index of anthropometric failure (CIAF) and its determinants: A cross-sectional study in the rural area of the Bogor District in Indonesia

Background

The Composite Index of Anthropometric Failure (CIAF) can comprehensively identify undernutrition by combining several indicators of nutritional status – namely, weight-for-age, length/height-for-age and weight-for-length/height – to determine the nutritional status of children under five years of age. This study aims to assess undernutrition using the CIAF and its determinants on children under five years of age in the Bogor District, Indonesia.

Methods

A cross-sectional study was conducted during February–May 2019 among 330 mother-children pairs (with children under five), selected by systematic random sampling from four villages as undernutrition pockets in the rural area of Bogor District, Indonesia. The nutritional status of the children was assessed by measuring weight and length/height. Z-score was calculated using WHO Anthro software and was categorized based on conventional indices, including weight-for-age (WAZ), length/height-for-age (HAZ) and weight-for-length/height (WHZ). The CIAF is measured based on a combination of conventional index measurements. In addition, mothers’ and childrens’ characteristics and clean living behaviour are assessed via structured questionnaires. Environmental sanitation is assessed using the environment meter. Binary logistic regression analysis with SPSS version 22.0 is used to analyse the dominant factors associated with undernutrition.

Results

Among children under five, 42.1% experienced anthropometric failure (overall prevalence of undernutrition based on the CIAF), 2.4% experienced wasting only, 5.8% were classified as both wasting and underweight, 2.1% as wasting, underweight and stunting, 16.4% as underweight and stunting, 11.5% as stunting only, and 3.9% as underweight only. Assessment of nutritional status using a conventional anthropometric index shows that respective prevalences of underweight, stunted and wasted were 27.8, 29.7, and 10.6%. The mother’s height is the most dominant factor associated with anthropometric failure [p = 0.008; AOR = 1.95; 95% CI: 2.19–3.19]. The most dominant factors associated with the conventional undernutrition indices of underweight, stunted and wasted are, respectively, family income [p = 0.018; AOR = 5.44; 95% CI: 1.34–22.11], mother’s height [p = < 0.001; AOR = 3.29; 95% CI:1.83–5.91] and child’s age [p = 0.013; AOR = 2.59; 95% CI: 1.22–5.47].

Conclusion

Nearly half of children under five experience anthropometric failure. Specific nutrition improvement interventions and specific nutrition interventions during pregnancy and lactation are needed, especially for malnourished mothers, to prevent malnutrition in infant.

Maternal Underweight and Its Association with Composite Index of Anthropometric Failure among Children under Two Years of Age with Diarrhea in Bangladesh

Malnutrition in women has been a long-standing public health concern, with serious effects on child survival and development. Maternal body mass index (BMI) is an important maternal nutritional indicator. There are few published studies although child anthropometric failures do not occur in isolation and identifying children with single versus several co-occurring failures can better capture cases of growth failure in combination: stunting, wasting, and underweight. In the context of multiple anthropometric failures, traditional markers used to assess children's nutritional status tend to underestimate overall undernutrition. Using the composite index of anthropometric failure (CIAF), we aimed to assess the association between maternal undernutrition and child undernutrition among children with diarrhea under the age of two and to investigate the correlates. Using 1431 mother-child dyads from the Antibiotic for Children with Diarrhea (ABCD) trial, we extracted children's data at enrollment and on day 90 and day 180 follow-ups. ABCD was a randomized, multi-country, multi-site, double-blind, placebo-controlled clinical trial. The Bangladesh site collected data from July 2017 to July 2019. The outcome variable, CIAF, allows combinations of height-for-age, height-for-weight, and weight-for-age to determine the overall prevalence of undernutrition. The generalized estimating equation was used to explore the correlates of CIAF. After adjusting all the potential covariates, maternal undernutrition status was found to be strongly associated with child undernutrition using the CIAF [aOR: 1.4 (95% CI: 1.0, 1.9), p-value = 0.043] among the children with diarrhea under 2 years old. Maternal higher education had a protective effect on CIAF [aOR: 0.7 (95% CI: 0.5, 0.9), p-value = 0.033]. Our study findings highlight the importance of an integrated approach focusing on maternal nutrition and maternal education could affect a reduction in child undernutrition based on CIAF.

A review of the prevalence, trends, and determinants of coexisting forms of malnutrition in neonates, infants, and children

OBJECTIVE

Coexisting Forms of Malnutrition (CFM) refers to the presence of more than one type of nutritional disorder in an individual. Worldwide, CFM affects more than half of all malnourished children, and compared to standalone forms of malnutrition, CFM is associated with a higher risk of illness and death. This review examined published literature for assessing the prevalence, trends, and determinants of CFM in neonates, infants, and children.

METHODS

A review of community-based observational studies was conducted. Seven databases, (CINAHL, Cochrane Library, EMBASE, Medline, PubMed, Scopus, and Web of Science) were used in December-2021 to retrieve literature. Google, Google Scholar and TROVE were used to search for grey literature. Key stakeholders were also contacted for unpublished documents. Studies measuring the prevalence, and/or trends, and/or determinants of CFM presenting in individuals were included. The quality of included studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal tools for prevalence and longitudinal studies.

RESULTS

The search retrieved 14,207 articles, of which 24 were included in this review. The prevalence of CFM varied by geographical area and specific types. In children under 5 years, the coexistence of stunting with overweight/obesity ranged from 0.8% in the United States to over 10% in Ukraine and Syria, while the prevalence of coexisting wasting with stunting ranged from 0.1% in most of the South American countries to 9.2% in Niger. A decrease in CFM prevalence was observed in all countries, except Indonesia. Studies in China and Indonesia showed a positive association between rurality of residence and coexisting stunting with overweight/obesity. Evidence for other risk and protective factors for CFM is too minimal or conflicting to be conclusive.

CONCLUSION

Evidence regarding the prevalence, determinants and trends for CFM is scarce. Apart from the coexistence of stunting with overweight/obesity, the determinants of other types of CFM are unclear. CFM in any form results in an increased risk of health adversities which can be different from comparable standalone forms, thus, there is an urgent need to explore the determinants and distribution of different types of CFM.

Incidence of Asymptomatic Shigella Infection and Association with the Composite Index of Anthropometric Failure among Children Aged 1–24 Months in Low-Resource Settings

Asymptomatic or subclinical infection by diarrheal enteropathogens during childhood has been linked to poor health and nutritional outcomes. In this study, we aimed to assess the impact of asymptomatic Shigella infection on different forms of childhood malnutrition including the composite index of anthropometric failure (CIAF). We used data from 1715 children enrolled in the multi-country birth cohort study, MAL-ED, from November 2009 to February 2012. Monthly non-diarrheal stools were collected and assessed using TaqMan Array Cards (TAC). Poisson regression was used to calculate incidence rates of asymptomatic Shigella infection. Generalized estimating equations (GEE) were used to assess the association between asymptomatic Shigella infection and nutritional indicators after adjusting for relevant covariates. Incidence rates per 100 child-months were higher in Tanzania, Bangladesh and Peru. Overall, after adjusting for relevant covariates, asymptomatic Shigella infection was significantly associated with stunting (aOR 1.60; 95% CI: 1.50, 1.70), wasting (aOR 1.26; 95% CI: 1.09, 1.46), underweight (aOR 1.45; 95% CI: 1.35, 1.56), and CIAF (aOR 1.55; 95% CI: 1.46, 1.65) in all the study sites except for Brazil. The high incidence rates of asymptomatic Shigella infection underscore the immediate need for Shigella vaccines to avert the long-term sequelae involving childhood growth.

Prevalence and correlates of severe under-5 child anthropometric failure measured by the composite index of severe anthropometric failure in Bangladesh

BACKGROUND

Although Bangladesh has made noticeable progress in reducing the prevalence of stunting, wasting, and being underweight among under-5 children, it has not been very successful in reducing overall severe anthropometric failure (SAF) among them. Therefore, the study aims to identify the prevalence and risk factors of SAF measured by the Composite Index of Severe Anthropometric Failure (CISAF) among under-5 children in Bangladesh.

METHODS

Data was drawn from a cross-sectional Bangladesh Demographic Health Survey (BDHS) conducted in 2017-2018. A bivariate analysis (Chi-square test) and logistic regression analysis were used to estimate the unadjusted, and age and sex-adjusted prevalence of SAF. Odds ratio (OR) and confidence interval (CI) were assessed using logistic regression analysis to identify the various risk factor of SAF.

RESULTS

The overall adjusted prevalence of under-5 child SAF was 11.3% (95% CI: 10.6-12.0) and it was highly prevalent among children of uneducated mothers (adjusted, 22%, 95% CI: 17.3-26.8). The key factors associated with SAF were children in the age group 24-35 months (OR: 2.43, 95% CI: 1.83-3.23), children born with low birth weight (OR: 3.14, 95% CI: 2.24-4.97), children of underweight mothers (OR: 1.82, 95% CI: 1.44-2.29), children of parents with no formal education (OR: 2.28, 95% CI: 1.56-3.31) and children from lower socio-economic status (OR: 2.25, 95% CI: 1.55-3.26).

CONCLUSION

Prioritizing and ensuring context-specific interventions addressing individual, community, public policy, and environment level risk factors from policy level to implementation to reduce structural and intermediary determinants of under-5 SAF.

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

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

Differences in risk factors associated with single and multiple concurrent forms of undernutrition (stunting, wasting or underweight) among children under 5 in Bangladesh: a nationally representative cross-sectional study

OBJECTIVES

The study aims to differentiate the risk factors of single and multiple concurrent forms of undernutrition among children under 5 in Bangladesh.

DESIGN

A nationally representative cross-sectional study.

SETTING

Bangladesh.

RESPONDENTS

Children age under 5 years of age.

OUTCOME MEASURE

This study considered two dichotomous outcomes: single form (children without single form and with single form) and multiple concurrent forms (children without multiple forms and with multiple forms) of undernutrition.

STATISTICAL ANALYSIS

Adjusted OR (AOR) and CI of potential risk factors were calculated using logistic regression analysis.

RESULTS

Around 38.2% of children under 5 in Bangladesh are suffering from undernutrition. The prevalence of multiple concurrent forms and single form of child undernutrition was 19.3% and 18.9%, respectively. The key risk factors of multiple concurrent forms of undernutrition were children born with low birth weight (AOR 3.76, 95% CI 2.78 to 5.10); children in the age group 24-35 months (AOR 2.70, 95% CI 2.20 to 3.30) and in the lowest socioeconomic quintile (AOR 2.57, 95% CI 2.05 to 3.23). In contrast, those children in the age group 24-35 months (AOR 1.94, 95% CI 1.61 to 2.34), in the lowest socioeconomic quintile (AOR 1.79, 95% CI 1.45 to 2.21) and born with low birth weight (AOR 1.52, 95% CI 1.11 to 2.08) were significantly associated with a single form of undernutrition. Parental education, father's occupation, children's age and birth order were the differentiating risk factors for multiple concurrent forms and single form of undernutrition.

CONCLUSION

One-fifth of children under 5 years of age are suffering multiple concurrent forms of undernutrition, which is similar to the numbers suffering the single form. Parental education, father's occupation, children's age and birth order disproportionately affect the multiple concurrent forms and single form of undernutrition, which should be considered to formulate an evidence-based strategy for reducing undernutrition among these children.

Spatial data analysis of malnutrition among children under-five years in Ethiopia

Background

Childhood malnutrition is a major cause of child mortality under the age of 5 in the sub-Saharan Africa region. This study sought to identify the risk factors and spatial distribution of the composite index of anthropometric failure (CIAF).

Methods

Secondary data from 2000, 2005, 2011, and 2016 Ethiopian Health and Demographic Survey (EDHS) were used. The generalized geo-additive mixed model was adopted via the Integrated Nested Laplace Approximation (INLA) with a binomial family and logit link function.

Results

The CIAF status of children was found to be positively associated with the male gender, the potency of contracting a disease, and multiple births. However, it was negatively associated with family wealth quartiles, parental level of education, place of residence, unemployment status of mothers, improved sanitation, media exposure, and survey years. Moreover, the study revealed significant spatial variations on the level of CIAF among administrative zones.

Conclusions

The generalized geo-additive mixed-effects model results identified gender of the child, presence of comorbidity, size of child at birth, dietary diversity, birth type, place of residence, age of the child, parental level of education, wealth index, sanitation facilities, and media exposure as main drivers of CIAF. The results would help decision-makers to develop and carry out target-oriented programs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01391-x.

Differences in the socio-demographic determinants of undernutrition in children aged <5 years in urban and rural areas of Bangladesh measured by the Composite Index of Anthropometric Failure

OBJECTIVES

This study investigates the prevalence and determinants of undernutrition among children <5 years living in Bangladesh using the Composite Index of Anthropometric Failure (CIAF) and highlights the differences between urban and rural areas.

STUDY DESIGN

Data are drawn from three cross-sectional Bangladesh Demographic Health Surveys conducted from 2007 to 2014.

METHODS

A Chi-square test was used to assess the prevalence of <5 years child undernutrition. Logistic regression analysis was performed to identify various sociodemographic risk factors.

RESULTS

The prevalence of undernutrition based on the CIAF was 52% among children <5 years in Bangladesh. The prevalence of undernutrition in children living in urban areas and rural areas were found to be 45% and 54%, respectively. As per the CIAF, undernutrition was highly prevalent among children in the older age group, children of uneducated and currently working mothers, those of underweight mothers, children of fourth and above in the birth order, children of fathers who were manual labourers, children of households who had no access to television and those in the poorest households whether in urban or rural areas. Children in the older age group, children of uneducated mothers, those with underweight mothers and those from the poorest households provided common key risk factors for undernutrition in both urban and rural areas. Children of fourth and above birth order and not watching television at all were additional risk factors of child undernutrition in rural areas.

CONCLUSION

Half of the children in rural areas and two-fifths of them in urban areas are suffering undernutrition in Bangladesh, and several sociodemographic factors heighten the risks. Also, birth order and watching television were identified as the differential risk factors. This study therefore concludes that evidence-based interventions are needed to reduce the burden of undernutrition in children in the country.

Socio-economic inequality in anthropometric failure among children aged under 5 years in India: evidence from the Comprehensive National Nutrition Survey 2016-18

BACKGROUND

Conventional indicators used to access the nutritional status of children tend to underestimate the overall undernutrition in the presence of multiple anthropometric failures. Further, factors contributing to the rich-poor gap in the composite index of anthropometric failure (CIAF) have not been explored. This study aims to estimate the prevalence of CIAF and quantify the contribution of factors that explain the rich-poor gap in CIAF.

METHODS

The present study used data of 38,060 children under the age of five years and their biological mothers, drawn from the nationally representative Comprehensive National Nutrition Survey of children and adolescents aged 0-19 years in India. The CIAF outcome variable in this study provide an overall prevalence of undernutrition, with six mutually exclusive anthropometric measurements of height-for-age, height-for-weight, and weight-for-age, calculated using the World Health Organization (WHO) Multicenter Growth Reference Study. Multivariate regression and decomposition analysis were used to examine the association between covariates with CIAF and to estimate the contribution of different covariates in the existing rich-poor gap.

RESULTS

An overall CIAF prevalence of 48.2% among children aged aged under 5 years of age was found in this study. 6.0% children had all three forms of anthropometric failures. The odds of CIAF were more likely among children belonging to poorest households (AOR: 2.41, 95% CI: 2.12-2.75) and those residing in urban area (AOR: 1.06, 95% CI 1.00-1.11). Children of underweight mothers and those with high parity were at higher risk of CIAF (AOR: 1.51, 95% CI: 1.42-1.61) and (AOR: 1.15, 95% CI: 1.08-1.22), respectively. Children of mother exposed to mass media were at lower risk of CIAF (AOR: 0.87, 95% CI: 0.81-0.93).

CONCLUSION

This study estimated a composite index to assess the overall anthropometric failure, which also provides a broader understanding of the extent and pattern of undernutrition among children. Findings show that maternal covariates contribute the most to the rich-poor gap. As well, the findings suggest that intervention programs with a targeted approach are crucial to reach the most vulnerable groups and to reduce the overall burden of undernutrition.

Tracking progress in anthropometric failure among under-five children in Ethiopia: a geospatial and multilevel analysis

Background

Undernutrition is a major public health concern among under-five children in many developing countries. This work evaluated the overall prevalence of under-nutrition by using a composite index of anthropometric failure (CIAF), which helps in the detection of children with multiple anthropometric failures. This research also includes the Spatio-temporal distribution of childhood anthropometric failures across time.

Methods

Secondary data was obtained from the Ethiopian Demographic and Health Survey for the survey 2005, 2011, and 2016 years. Data included 23,864 samples of children between the ages of 0–59 months, which is a nationally representative sample in Ethiopia. Other than descriptive statistics, the multivariate multilevel logistic regression was used to identify associated factors, and Getis-Ord spatial statistical tools were employed to identify high and low hotspots areas of anthropometric failures.

Result

The prevalence obtained with CIAF in 2005, 2011, and 2016 was, 53.5 %, 51 %, and 46.2 % of children were suffering from under-nutrition respectively. The spatial analysis revealed areas that are at a higher risk of anthropometric failures consistently were found in northern parts of the country, largely in the Amhara, Tigray, and Afar regions. Multilevel logistic regression analysis showed that the risk of anthropometric failure was higher among older children, had low birth weight, had a mother with low BMI, was in a rural area, had mothers and fathers without formal education.

Conclusions

In addition to identifying wasted, stunted, and underweight children, CIAF also identified children with multiple conditions, which are often overlooked in nutritional surveys. As revealed by this composite index, the prevalence of anthropometric failure remains considerably high and its spatial distribution also significantly varied across the regions in the country. The established socio-demographic characteristics and districts with a higher risk of anthropometric failure can be used to develop localized intervention and prevention strategies to improve Ethiopian children’s nutritional status and healthcare.

High Prevalence of Stunting and Anaemia Is Associated with Multiple Micronutrient Deficiencies in School Children of Small-Scale Farmers from Chamwino and Kilosa Districts, Tanzania

Inadequate macro- and micronutrient nutrition and its consequences, such as anaemia, iron and vitamin deficiency, and growth retardation, could particularly affect children of small-scale farmers. In the present cross-sectional study, 666 school children aged 5-10 years from villages of Chamwino and Kilosa districts were studied for associations between nutritional and micronutrient status and dietary intake. The overall prevalence of stunting, underweight, and overweight was 28.1, 14.4, and 5%, while that of anaemia and deficiency of iron (ID), vitamin A (VAD), and zinc (ZnD) was 42.9, 29.3, 24.9, and 26.4%, respectively. Dietary recalls (24h) revealed that, except of iron (74%), only small proportions of children reached the recommended daily micronutrient intakes: 4% for zinc, 19% for vitamin A, and 14-46% for B vitamins. Stunting was highly associated with wasting in both districts and with VAD in Chamwino. Anaemia was predicted by ID, VAD, and ZnD in Chamwino and by elevated infection markers, C-reactive protein (CRP) and α-1 glycoprotein (AGP), in Kilosa. Overall, elevated CRP and/or AGP increased the risk while higher serum carotenoids indicating a diet of more fruit and vegetables reduced the risk of VAD. The significantly lower prevalence of anaemia and ID in Chamwino was related to higher iron and vitamin A intake and the consumption of mainly bulrush millet with dark green leafy vegetables compared to maize or rice with legumes in Kilosa. Nutrition and hygiene education integrated with home and school garden programmes could reduce the multiple burdens of anaemia; micronutrient deficiencies and infections; and, in the long term, the prevalence of stunting.

Prevalence and factors associated with triple burden of malnutrition among mother-child pairs in India: a study based on National Family Health Survey 2015-16

BACKGROUND

Malnutrition in mothers as well as in children is a significant public health challenge in most of the developing countries. The triple burden of malnutrition is a relatively new issue on the horizon of health debate and is less explored among scholars widely. The present study examines the prevalence of the triple burden of malnutrition (TBM) and explored various factors associated with the TBM among mother-child pairs in India.

METHODS

Data used in this study were drawn from the fourth round of the National Family Health Survey (NFHS-IV) conducted in 2015-16 (N = 168,784). Bivariate and binary logistic regression analysis was used to quantify the results. About 5.7% of mother-child pairs were suffering from TBM.

RESULTS

Age of mother, educational status of the mother, cesarean section delivery, birth size of baby, wealth status of a household, and place of residence were the most important correlates for the triple burden of malnutrition among mother-child pairs in India. Further, it was noted that mothers with secondary education level (AOR: 1.15, CI 1.08-1.23) were having a higher probability of suffering from TBM, and interestingly the probability shattered down for mothers having a higher educational level (AOR: 0.90, CI 0.84-0.95). Additionally, mother-child pairs from rich wealth status (AOR: 1.93, CI 1.8-2.07) had a higher probability of suffering from TBM.

CONCLUSION

From the policy perspective, it is important to promote public health programs to create awareness about the harmful effects of sedentary lifestyles. At the same time, this study recommends an effective implementation of nutrition programs targeting undernutrition and anemia among children and obesity among women.

The burden of anthropometric failure and child mortality in India

The public health burden of nutritional deficiency and child mortality is the major challenge India is facing upfront. In this context, using National Family Health Survey, 2015–16 data, this study estimated rate of composite index of anthropometric failure (CIAF) among Indian children by their population characteristics, across states and examined the multilevel contextual determinants. We further investigated district level burden of infant and child mortality in terms of multiple anthropometric failure prevalence across India. The multilevel analysis confirms a significant state, district and PSU level variation in the prevalence of anthropometric failures. Factors like- place of residence, household’s economic wellbeing, mother’s educational attainment, age, immunization status and drinking water significantly determine the different forms of multiple anthropometric failures. Wealth status of the household and mother’s educational status show a clear gradient in terms of the estimated odds ratios. The district level estimation of infant and child mortality demonstrates that districts with higher burden of multiple anthropometric failures show elevated risk of infant and child mortality. Unlike previous studies, this study does not use the conventional indices, instead considered the CIAF to identify the exact and severe form of undernutrition among Indian children and the associated nexus with infant and child mortality at the district level.

The burden and correlates of childhood undernutrition in Tanzania according to composite index of anthropometric failure

Background

Undernutrition is a public health problem worldwide. Tanzania has made significant achievements in the reduction of childhood undernutrition over the past two decades. However, the exact burden of undernutrition was under-estimated when using conventional indices of stunting, wasting and underweight. The objective of this study was to determine the overall prevalence of undernutrition, describe the trends and examine the correlates associated with undernutrition among children under-five years using the composite index of anthropometric failure (CIAF). This study aims to understand the real burden and drivers of undernutrition to improve design, implementation and monitoring of appropriate interventions to ameliorate all form of childhood undernutrition in the country.

Methods

About 37,205 mother-child pairs were retrieved and analyzed from the Tanzania Demographic and Health Surveys (TDHS) conducted in various years from 1991, 1996, 1999, 2004–05, 2009–10, to 2015–16. The anthropometric data of children under-five years were used to determine the overall burden and trends of undernutrition using CIAF. The recent TDHS surveys from 2005 to 2015 were used to examine the correlates of CIAF. To determine the correlates, multivariate analysis was conducted to estimate the prevalence ratios (PR) with 95% confidence intervals (CI) using Poisson regression with robust variance.

Results

The prevalence of CIAF declined significantly from 50% in 1991 to 38.2% in 2015 (p < 0.001). The correlates of CIAF vary across surveys. The multivariate analysis of recent 2015 survey revealed that the prevalence of CIAF was significantly higher for older children (p < 0.001), children living in rural areas (p = 0.028), and those born with non-educated (p = 0.009) or single mothers (p = 0.008). The prevalence of CIAF was significantly lower for girls (p < 0.001), being born with overweight/obese mothers (p < 0.001), living with older head of the household (p < 0.001) or living in richest household (p < 0.001). Moreover, children who were born with low birth weight (p < 0.001), or having fever (p = 0.044) were most likely to have anthropometric failure. However, consumption of diversified diet was not found to be associated with anthropometric failure (p > 0.05).

Conclusion

About one in every three under-five years children are suffering from either one or multiple forms of anthropometric failure in Tanzania. There is a significant decline trends in overall burden of undernutrition in Tanzania from the past 25 years, as measured by CIAF. Multiple factors including those related to mothers, children and household socio-economic characteristics have the potential to influence childhood undernutrition. Efforts to reduce the burden of undernutrition should mainly focus on reducing poverty and raising people’s living standards.

Prevalence and correlates of the composite index of anthropometric failure among children under 5 years old in Bangladesh

The prevalence of stunting, wasting, and underweight are reported separately. However, the data of the multiple anthropometric failures combinations of these conventional indicators are scant. This study attempted to estimate the overall burden of undernutrition among children under 5 years old, using the composite index of anthropometric failure (CIAF), and to explore the correlates. The study used secondary data from the Bangladesh demographic and health surveys (BDHS), undertaken in 2014. CIAF provides an overall prevalence of undernutrition, which gives six mutually exclusive anthropometric measurements of height-for- age, height-for-weight, and weight-for-age. Multivariable logistic regression was used to explore the correlates of CIAF. The overall prevalence of undernutrition using the CIAF was 48.3% (95% CI [47.1%, 49.5%]) among the children under 5 years old. The prevalence of anthropometric failure due to a combination of both stunting and underweight was 18.2%, wasting and underweight was 5.5%, and wasting, underweight, and stunting was 5.7%. The odds of CIAF were higher among young maternal age, having the poorest socio-economic status, living in rural areas, higher order of birth, and received no vaccination compared with other counterparts. In Bangladesh, one out of two children has undernutrition, which is preventing the potential of the millions of children. Mothers who gave birth before age 20 living in the rural areas with belonging to lower socio-economic status and whose children had a higher order of birth and receive no vaccination were observed as the main determinants of undernutrition. Nutrition sensitive interventions along with social protection programmes are crucial to deal the underlying causes of undernutrition.