Factors Associated with Undernutrition in Children under the Age of Two Years: Secondary Data Analysis Based on the Pakistan Demographic and Health Survey 2012⁻2013

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Pooled prevalence and its determinants of stunting among children during their critical period in Ethiopia: A systematic review and meta-analysis

BACKGROUND

Stunting is a major public health concern, particularly in low and middle-income countries. Globally, nearly 149 million under-five children are suffering from stunting. Despite it can occur in all age groups, the impact is more severe among children age less than 24 months as this period is critical time of very rapid growth and development. Therefore, this review aimed to determine the pooled prevalence and determinants of stunting among children during this critical period in Ethiopia.

METHODS

The literature search was conducted using international electronic data bases (pumed, Google scholar, CINHAL, Hinari, open Google) and the hand search of reference lists of eligible articles. The presence of heterogeneity between studies was evaluated using Cochrane Q-test and I2 test statistics and sensitivity analysis was also checked. Small study effect was checked through graphical and statistical test. Sub-group analysis was performed to handle heterogeneity.

RESULTS

This study included 14 studies with a total sample size of 8,056 children. The overall pooled estimate of stunting was 35.01(95% CI: 24.73-45.28, I2 = 98.98%) in the country with the highest prevalence in Amhara region. Increased Child's age (OR = 3.83; 95% CI: 2.47-5.18, I2 = 97.76%), no maternal education (OR = 2.90; 95%CI: 1.59-4.20, I2 = 89.73%), no maternal postnatal follow up (OR = 1.81; 95% CI:1.51-2.10) less than four food diversity of the child (OR = 2.24;95%CI; 1.94-2.55,I2 = 21.55%), low maternal body mass index, failure to colostrum and exclusive breast feeding, two and more under five children in the household and poor wealth index of the family were significant factors of stunting.

CONCLUSION AND RECOMMENDATIONS

The pooled prevalence of stunting among children during their critical time is high. Increased Child's age, no maternal education and no maternal postnatal follow up, less than four food diversity of the child, low maternal body mass index, failure to colostrum and exclusive breast feeding, two and more under five children in the household and poor wealth index of the family were determinants of stunting. Therefore, providing continuous maternal postnatal follow up, increase awareness of mothers on importance of colostrum and exclusive breast feeding, feeding of children the recommended variety of foods and at large to improve the wealth status of the households are crucial interventions to meet national and international targets of zero stunting in children less than 2 years.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Prevalence of under-nutrition and its associated factors among 6–23 months old children of employed and unemployed mothers in town kebeles of Dera district, northwest Ethiopia: a comparative cross-sectional study

Background

Child under-nutrition remains a widespread problem around the globe. Improving child nutrition and empowering women are two important and closely connected development goals. These two interconnected goals will affect one another through different mechanisms, and the net effect may not necessarily be positive. Yet, the impact of maternal employment, one method of empowering mothers, on children’s nutritional is not well studied in Ethiopia. Hence, this study is to compare the prevalence of under-nutrition and its associated factors among 6–23 months old children of employed and unemployed mothers in town kebeles of Dera district, Northwest Ethiopia, 2022.

Methods

A community-based comparative cross-sectional study design was conducted among 356 employed and 356 unemployed mothers having 6–23 months old children. A systematic random sampling technique was used to select study participants. Epi-data version 3.1 and SPSS version 25.0 statistical software were used for data entry and analysis, respectively. Both bi-variable and multivariable binary logistic regression was done to assess the association between independent and dependent variables. A p-value of less than 0.05 in a multivariable binary logistic regression was declared as the level of statistical significance.

Result

The prevalence of under-nutrition was 69.8% (95% CI: 65.0, 74.7) among children of unemployed mothers, compared to 27.4% (95% CI: 22.7, 32.2) among children of employed mothers. Under-nutrition among children of unemployed mothers was significantly associated with being a male child, age increase by one month, household food insecurity, lack of ANC follow-up, and not exclusively breastfed. Whereas, among children of employed mothers, being a male child, age increase by one month, being sick during the last two weeks prior to data collection, not immunized to their age, and low meal frequency were significantly associated with their under-nutrition.

Conclusion

The prevalence of under-nutrition among children of unemployed women is significantly higher than those children of employed women which consolidate the evidence that women’s employment status have a positive association with child nutrition. Different factors were also identified as significant predictors of child under-nutrition among these two groups (employed and unemployed women). Thus, multi-sectoral intervention approach together with agriculture and education offices should be strengthened.

Optimum birth interval (36-48 months) may reduce the risk of undernutrition in children: A meta-analysis

Background

Although some studies have highlighted short birth interval as a risk factor for adverse child nutrition outcomes, the question of whether and to what extent long birth interval affects better nutritional outcomes in children remains unclear.

Methods

In this quantitative meta-analysis, we evaluate the relationship between different birth interval groups and child nutrition outcomes, including underweight, wasting, and stunting.

Results

Forty-six studies with a total of 898,860 children were included in the study. Compared with a short birth interval of <24 months, birth interval of ≥24 months and risk of being underweight showed a U-shape that the optimum birth interval group of 36-48 months yielded the most protective effect (OR = 0.54, 95% CI = 0.32-0.89). Moreover, a birth interval of ≥24 months was significantly associated with decreased risk of stunting (OR = 0.61, 95% CI = 0.55-0.67) and wasting (OR = 0.63, 95%CI = 0.50-0.79) when compared with the birth interval of <24 months.

Conclusion

The findings of this study show that longer birth intervals (≥24 months) are significantly associated with decreased risk of childhood undernutrition and that an optimum birth interval of 36-48 months might be appropriate to reduce the prevalence of poor nutritional outcomes in children, especially underweight. This information would be useful to government policymakers and development partners in maternal and child health programs, especially those involved in family planning and childhood nutritional programs.

Effects of maternal employment on child malnutrition in South Asia: An instrumental variable approach

OBJECTIVE

Although the association between child malnutrition and maternal employment status has been widely studied in several developing countries, the causal effect of mothers' employment on their children's health remains largely unknown. The aim of this study was to examine the causal effect of maternal employment on child malnutrition in five South Asian countries.

METHOD

This study used a data set of >55 200 children ages 0 to 5 y by pooling the most recent Demographic Health Surveys (DHS) from Bangladesh, India, the Maldives, Nepal, and Pakistan. An instrumental variable (IV) method was applied to measure the causal effect of the mother's employment status (working mother) on stunting and underweight among children.

RESULTS

Results showed that of the children in South Asia, 37.9% and 33.6% were stunted and underweight, respectively. The IV estimates suggested that maternal employment significantly increased stunting and underweight in children. For example, the likelihood of stunting and underweight increased by about 9.5% and 6.3% points, respectively, in South Asia when mothers worked. The likelihoods in Bangladesh (39.9 and 26.6%) and Pakistan (28 and 33.4%) were high but were at moderate levels in India (5.3 and 4.2%) and Nepal (8 and 9%).

CONCLUSIONS

In the present study, an adverse effect of maternal labor market participation on the nutritional status of under-five children in South Asian countries was found. These findings could be helpful for policymakers in South Asian countries to adopt suitable policies to reduce malnutrition among children, especially for the children of employed mothers.

Age-appropriate feeding practices and their association with undernutrition among children aged 6-23 months in aspirational districts of India: a multinomial analysis

'Health and nutrition' is one among the five areas covered by the Aspirational District Programme in India, which aims to achieve the Sustainable Development Goals (SDGs). The reduction of undernutrition in under-five children has remained a major focus of the SDGs, especially at the ages of 6-23 months as this affects child development. This study used National Family Health Survey 2015-16 data to examine appropriate feeding practices and their associations with undernutrition among children aged 6-23 months in the 124 aspirational districts of India. Multinomial logistic regression analysis was used to analyse the association between feeding practices and undernutrition, adjusting for covariates. A total of 13,851 children aged 6-23 months were included in the analysis. Child nutritional outcomes, and children receiving the recommended minimum dietary diversity (MDD), minimum meal frequency (MMF) and minimum acceptable diet (MAD), were poorer in the aspirational compared with non-aspirational districts. However, the proportions of children who continued to breastfed, i.e. currently breastfeeding and the proportion of children who were receiving appropriate breastfeeding, i.e. receiving complementary feeding, in addition to breast milk, were higher in the aspirational districts. Appropriate breastfeeding and MDD were found to be associated negatively with undernutrition. While the continuation of breastfeeding increased the odds of children being undernourished, appropriate breastfeeding lowered the odds. The significant predictors of undernourishment among the study children were the child being male, of higher birth order, older and of smaller than average birth size; mother's lower educational level, mother's lower BMI of mothers and being a teenage mother; and poor household drinking water, sanitation facilities and lower economic status. This study suggests that educating mothers, especially illiterate and poor mothers, about appropriate breastfeeding and dietary diversity could help prevent and reduce child undernutrition in the aspirational districts of India.

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.

The Effects of Financial Stress and Household Socio-Economic Deprivation on the Malnutrition Statuses of Children under Five during the COVID-19 Lockdown in a Marginalized Region of South Punjab, Pakistan

The lockdown after the COVID-19 pandemic not only caused public health crises and income stress but also put millions at risk of food insecurity and malnutrition across the globe, especially in low and middle-income countries [LMICs]. This study evaluated the effects of financial stress and household socio-economic deprivation on the nutritional status of 1551 children under the age of five during COVID-19 in Pakistan. A self-administered questionnaire was used between November 2020 and April 2021 to collect information on age, height, children's weight, and socio-economic status from 1152 rural households from underdeveloped regions in Punjab, Pakistan. With the help of the proportionate simple random sampling method, this study employed a model (binary logistic regression) to calculate the likelihood of malnourishment. The findings showed that the stunting, underweight, and wasting prevalence rates during COVID-19 were 58.86%, 41.89%, and 8.11%, respectively, in the Bahawalpur region. According to the binary logistic regression analysis, among the household deprivation status (HDS) categories, the risks of childhood malnutrition were lesser in HDS-2 (OR = 0.05, 95% CI: 0. 005-0.879) and HDS-3 (OR = 0.04, 95% CI: 0.008-0.193). Similar to this, within the financial stress index (FSI) categories, the children in homes with medium financial stress had reduced odds of malnutrition (OR = 0.10, 95% CI: 0.018-0.567), and the children in households with low financial stress had reduced risks of malnutrition (OR = 0.006, 95% CI: 0.005-0.061). The proposed research found that stunting and underweight increased by 17.26% and 12.29% during the COVID-19 lockdown in the Bahawalpur region. Additionally, financial stress and socio-economic deprivation strongly affected children's nutritional statuses during the COVID-19 lockdown in the Bahawalpur region of Southern Punjab.

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.

Pooled prevalence of stunting and associated factors among children aged 6-59 months in Sub-Saharan Africa countries: A Bayesian multilevel approach

Background

Over 155 million children under five suffer from stunting, and it is responsible for over one million deaths and 54.9 million Disability Adjusted Life Years (DALYS) of under-five children worldwide. These predominantly occurred in low-and middle-income countries like sub-Saharan Africa. Stunted children begin their lives at a marked disadvantage. Some of these are; poor cognition and educational performance, low adult wages, lost productivity and, when accompanied by excessive weight gain later in childhood, an increased risk of nutrition-related chronic diseases in adult life and the devastating effects of stunting can last a lifetime and even affect the next generation. Despite this, its magnitude rises in the past 25 years in sub-Saharan Africa. Studies that capture the pooled prevalence and associated factors of stunting among children aged 6–59 months in sub-Saharan Africa are limited. Therefore, this study was carried out on the basis of the Bayesian approach to determine the pooled prevalence and predictors of stunting among children aged 6–59 months in Sub-Saharan Africa.

Objective

To assess the pooled prevalence of stunting and associated factors among children aged 6–59 months in Sub-Saharan Africa

Methods

For this study a total of 173,483 weighted samples from the demography and health survey data set of 35 sub-Saharan African countries from 2008 to 2020 were used. After checking Variation between cluster by computing Intraclass Correlation Coefficient, binary logistic regression model was conducted based on hierarchical Bayesian statistical approach to account the hierarchical nature of demography and health survey data and to get reliable estimates by using additional information from the prior distribution. Adjusted odds ratio with 95% credible interval of the best fitted model was used to ascertain the predictors.

Results

The pooled prevalence of stunting in Sub-Saharan Africa was about 35% (95%CI: 34.87, 35.31). Of the sub-regions, the highest prevalence of stunting was in East Africa, 37% (95%, CI: 36.96, 37.63) followed by Central Africa, 35% (95%CI: (34.93, 35.94). Being male (AOR = 1.27, 95% CrI 1.25, 1.30), small birth size (AOR = 1.29, CrI 1.25, 1.32), home delivery (AOR = 1.17, CrI 1.14, 1.20), and no education of mothers (AOR = 3.07, CrI 2.79, 3.39) were some of the significant predictors of stunting of children.

Conclusion and recommendation

The prevalence of stunting of children in sub-Saharan Africa is among the highest in the world. Predictors such as being male, being small at birth, a child delivered at home, and, low level of maternal education were some of the predictors of childhood stunting. Stakeholders and non-governmental organizations should consider those contributing factors of stunting when they plan and design nutritional improvement programs.

Comparison of Different Nutritional Screening Approaches and the Determinants of Malnutrition in Under-Five Children in a Marginalized District of Punjab Province, Pakistan

Objectives: This research measures the occurrence of malnutrition amongst under-five children in the Rahimyar Khan district of Southern Punjab in Pakistan. Employing different anthropometric measurement approaches such as (1) conventional indices (HAZ, WAZ, and WHZ), (2) CIAF, (3) BMI-for-age, and (4) MUAC, we compare their estimated results and examine the relationship between socioeconomic determinants and different anthropometric indicators. Methods: The study employs a proportional purposive random sampling method to collect data from 384 rural households in the community-based study using a self-administered survey and following the Lady Health Workers (LHWs) registered records. The nutritional status of 517 under-five children is measured with references to WHO (2009) child growth standards. Furthermore, the investigation used the model of binary logistic regression to measure the impact of socioeconomic factors on child malnutrition. Results: Compared with other approaches, the CIAF identifies more malnourished children (63%). The results of binary logistic regression illustrate that all the explanatory variables indicate a more significant empirical association with CIAF than conventional indices, BMI-for-age, and MUAC. Conclusion: CIAF is a more reliable tool for assessing child nutrition because it not only demonstrates more accurate estimates of malnutrition but also recognizes children with multiple anthropometric failures.

Empowerment and IPV in Married Women of Reproductive Age: Evidence from Pakistan Demographic Health Survey 2017-2018

The study was an attempt to identify demographic, household, and women empowerment factors that predicted emotional, physical, and sexual violence in ever-married women of reproductive age (15-49 years, n = 3,965) in Pakistan by performing secondary analysis on Pakistan Demographic and Health Survey, 2017-2018. The analysis was done using SPSS (v.22) and binary and multivariate logistic regression techniques were performed for analyses. The analysis found that 30.2% of women experienced emotional, 24.1% reported less severe physical, 6.5% experienced severe physical, and 4.3% experienced sexual violence, respectively. The multivariate analysis found that husband's age, education, wealth, and alcohol consumption were significant predictors of intimate partner violence (IPV). Additionally, womens' age, education, and number of children also significantly predicted IPV. With respect to empowerment variables, ownership of house was a significant predictor of less severe physical violence, ownership of property significantly predicted emotional violence, and autonomy in household purchase decisions was significantly related to severe physical violence. The control on husband's income as a measure of empowerment significantly predicted all four types of IPV. Belief in patriarchy also turned out to be an important factor in determining emotional and less severe physical violence. The study concludes that women empowerment in household context can prevent less serious forms of violence but to hinder serious forms of violence, interventions at family and community level will be required.

Does Mothers' Awareness of Health and Nutrition Matter? A Case Study of Child Malnutrition in Marginalized Rural Community of Punjab, Pakistan

Maternal nutritional awareness might reduce the risk of malnutrition in children. This study assesses the impact of mothers' nutritional and health awareness (MNHA) on the nutritional status of pre-school children in rural South Punjab. Using a proportionate purposive simple random sampling technique we collect data with the help of a self-administered questionnaire on height, age, the weight of children, and socio-economic profile from 384 rural households in one of the marginalized districts of Punjab. The study applied the binary logistic regression model to compute the probability of malnutrition. The results indicate that malnutrition was high in the district (the prevalence rate for underweight is 46.1%, for stunting 34.83%, and for wasting is 15.49%). Around 91.84% of malnourished children belonged to the low MNHA category compared to medium (5.61%) and high (2.55%) MNHA categories. The results further show that the prevalence of moderate and severe stunting, wasting, and underweight in low MNHA categories was much higher with large differences compared to both medium and high MNHA categories. The binary logistic regression results depict that, across the household deprivation index (HDS), the odds of a child becoming malnourished were lower in households HDS-2 category (OR = 0.02, 95% CI: 0.01–0.89), and odds were also lower in households HDS-3 category (OR = 0.001, 95% CI: 0.001–0.16). Similarly, across the scores of MNHA index, the odds of malnutrition were lower among the children of those mothers who had medium MNHA (OR = 0.04, 95% CI: 0.002–1.24), and also the probability of child malnutrition was lower among the children of mothers who had high MNHA (OR = 0.008, 95% CI: 0.002–0.29). The study urges that well-resourced, targeted, and coordinated health and nutritional education and awareness programs are required to tackle malnutrition.

Prevalence and determinants of nutritional status among women and children in Pakistan

Background

Nutrition has been a low-priority area in Pakistan, with low visibility from the political leadership. Despite various efforts, Pakistan has been reported to have one of the highest prevalences of child and women malnutrition compared to other developing counties. Therefore, this study intends to examine the prevalence and determinants of nutritional status of women and children in Pakistan.

Methods

The present study uses the Demographic Health Survey (DHS) data from Pakistan 2012–13 (PDHS-3). The nutritional status of women was examined through Body-Mass Index (Underweight, normal, overweight, & obese), and that of children was examined through stunting (severe and moderate), wasting (severe, moderate, overweight), and underweight (severe, moderate, overweight). Descriptive statistics and bivariate analysis have been used along with multinomial logistic regression.

Results

A higher proportion of children in rural areas were severely stunted (19.6% vs. 12.5%), severe wasted (2.4% vs. 2.2%), and severe underweight (9.4% vs. 6%) than their urban counterparts. A higher proportion of rural women (9.5% vs. 5.5%) were underweight than urban women, whereas a higher proportion of urban women were obese (24.3% vs. 19.0%) than rural women. The odds of severe stunting (OR = 0.24; C.I. = 0.15–0.37), severe underweight (OR = 0.11; C.I. = 0.05–0.22) were lower among children from the richest wealth quintile than their poorest counterparts. The Relative Risk Ratio (RRR) of being overweight (RRR = 3.7; C.I. = 2.47–5.54) and Obese (RRR = 4.35; C.I. = 2.67–7.07) than normal BMI were higher among women from richest wealth quintile than women belonged to poorest wealth quintile.

Conclusion

This study has highlighted determinants associated with maternal and child nutritional status, whereby the child’s nutritional status was measured by stunting, wasting, and underweight, and BMI measured the mother’s nutritional status. The main risk factors for a child’s poor nutritional status include low household wealth, urban residence, and mother’s educational status. Similarly, the main risk factors for women’s poor nutritional status include increasing the women’s age, educational status, rural residence, and household wealth. Poor households should be provided special attention to improve the nutritional status among women and children in poor households.

Trends and Determinants of Underweight among Children under Five Years in Ethiopia: Further Analysis with Ethiopian Demographic and Health Survey 2005-2016-Multivariate Decomposition Analysis

Background

Underweight is one of the paramount major worldwide health problems, and it traces a big number of populations from infancy to old age. This study aimed to analyze the trends and predictors of change in underweight among children under five years in Ethiopia.

Method

The data for this study were accessed from three Ethiopian Demographic and Health Survey data sets 2005, 2011, and 2016. The trend was examined separately for the periods 2005–2011, 2005–2016, and 2011–2016. Multivariate decomposition analysis of change in underweight was employed to answer the major research question of this study. The technique employed the output from the logistic regression model to parcel out the observed difference in underweight into components, and STATA 14 was utilized for data management and analysis.

Result

Perceiving the overall trend, the rate of underweight was decreased from 38% in 2005 to 24% in 2016. The decomposition analysis results revealed that, about 12.60% of declines in underweight have been explained by the difference in population characteristics or endowments (E) over the study period. The size of the child at birth, husband's education, women's education, and household wealth index contributed significantly to the compositional decline in underweight.

Conclusion

The magnitude of underweight among children under five years indicates a remarkable decline over the last ten years in Ethiopia. In this study, two-twelfth of the overall decrease in underweight among children under five years over the decade was due to the difference in characteristics between 2005 and 2016. Continuing to educate the population and boost the population's economy is needed on the government side in Ethiopia.

Undernutrition and associated factors in primary schoolchildren in Lokossa, Benin: a cross-sectional study

OBJECTIVES

to estimate the prevalence of stunting and thinness and sociodemographic, household, family, dietary, and scholar associated factors in schoolchildren living in Lokossa-Benin.

METHODS

a survey conducted in a probabilistic sample (n=615) of primary schoolchildren (8-17 years), from 12/2018 to 01/2019, using structured questionnaire and 24-hour dietary recall. Thinness and stunting were defined as Height-for-age and Body Mass Index-for-age below-2 standard deviations, respectively. Associations were estimated by chi-square test and logistic regression.

RESULTS

thinness and stunting prevalence was 13.1% (95%CI:9.0-18.7) and 25.5% (95%CI:20.6-31.2), respectively. Odds of thinness were higher among older schoolchildren and those who experienced hunger at school. Odds of stunting increased with age, low diet diversity, experiencing hunger at school, and having school meal five days a week (OR:2.09; 95%CI:1.29-3.36).

CONCLUSIONS

stunting was the most common problem. Older schoolchildren and those with food deprivation or poor diet diversity were the most affected.

Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children: Findings from a Community Health Survey

Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrition among Pakistani children under the age of five using the so-called composite index of anthropometric failure (CIAF), a tool for calculating the whole aggregate burden of malnutrition. The data were extracted from the Pakistan Demographic and Health Survey 2012-2013. Mothers' education and socioeconomic statuses (SES) were assessed as important factors in malnutrition. Chi-squared analysis was used to check the bivariate association, and multiple logistic regression was used to identify the significant correlates of child malnutrition. Moreover, multiple correspondence analysis (MCA) was applied to strengthen the use of CIAF as an outcome variable. The study looked at 3071 children under the age of five, with 52.2% of them falling into the CIAF. Children of educated mothers had 43% fewer odds of being malnourished (OR (Odd Ratio) = 0.57, 95% CI (Confidence Interval) = 0.44-0.73). Additionally, a decreasing trend in malnutrition was found with increasing SES. There is a need to improve maternal education. Such programs focusing on increasing women's autonomy in making home decisions should be established. Furthermore, long-term interventions for improving home SES and effective nutritional methods should be examined. For policymakers, the use of CIAF is suggested since it provides an estimate of the entire burden of undernutrition.

Prevalence of undernutrition and potential risk factors among children below five years of age in Somali region, Ethiopia: evidence from 2016 Ethiopian demographic and health survey

BACKGROUND

Childhood under-nutrition is far-reaching in low and middle-income nations. Undernutrition is one of the major open wellbeing concerns among newborn children and youthful children in Ethiopia. The present study aimed to explore the potential risk factors of undernutrition among children under 5 years of age in Somali Region, Ethiopia.

METHODS

The data for this study was extricated from the Ethiopian Demographic and Health Survey (EDHS) 2016. The data collected from 1339 children born 5 years before was considered within the analysis. A multivariable binary logistic regression analysis was utilized at a 5% level of significance to decide the individual and community-level variables related to childhood malnutrition.

RESULTS

The prevalence of stunting, underweight and wasting were 27.4, 28.7 and 22.7%, respectively. About 16.1% of children were both stunted and underweight; the extent of both being underweight and wasted was 11.7%, the prevalence of both stunted and wasted children was 5.5%, and all three malnutrition conditions were 4.7% children. Among the variables considered in this study, age of the child in months, type of birth, anemia level, size of child at birth, sex of the child, mothers' BMI and sources of drinking water were significantly related to stunting, underweight and wasting in Somali Region.

CONCLUSIONS

The prevalence of stunting, underweight and wasting was relatively high. Undernutrition is one of the major open wellbeing concerns among children in Somali region. The impact of these variables ought to be considered to develop strategies for decreasing the lack of healthy sustenance due to undernutrition in the study areas. Hence, intercession should be centered on making strides for the under-nutrition determinant variables of the children to be solid, to improve the child's wholesome status, and decrease child mortality quickly.

Urban-Rural Disparities in the Magnitude and Determinants of Stunting among Children under Five in Tanzania: Based on Tanzania Demographic and Health Surveys 1991-2016

Our study aims to examine the disparity of under-5 child stunting prevalence between urban and rural areas of Tanzania in the past three decades, and to explore factors affecting the rural–urban disparity. Secondary analyses of Tanzania Demographic and Health Surveys (TDHS) data drawn from 1991–1992, 1996, 1999, 2004–2005, 2009–2010, and 2015–2016 surveys were conducted. Under-5 child stunting prevalence was calculated separately for rural and urban children and its decline trends were examined by chi-square tests. Descriptive analyses were used to present the individual-level, household-level, and societal-level characteristics of children, while multivariable logistic regression analyses were performed to examine determinants of stunting in rural and urban areas, respectively. Additive interaction effects were estimated between residence and other covariates. The results showed that total stunting prevalence was declining in Tanzania, but urban–rural disparity has widened since the decline was slower in the rural area. No interaction effect existed between residence and other determinants, and the urban–rural disparity was mainly caused by the discrepancy of the individual-level and household-level factors between rural and urban households. As various types of determinants exist, multisector nutritional intervention strategies are required to address the child stunting problem. Meanwhile, the intervention should focus on targeting vulnerable children, rather than implementing different policies in rural and urban areas.

Impact of poverty reduction on access to water and sanitation in low- and lower-middle-income countries: country-specific Bayesian projections to 2030

BACKGROUND

In 2017, 785 million people globally lacked access to basic services of drinking water and 2 billion people lived without basic sanitation services. Most of these people live in low- and lower-middle-income countries in South Asia, Southeast Asia and sub-Saharan Africa. To monitor the progress towards universal access to water and sanitation, this study aimed to predict the coverage of access to basic drinking water supply and sanitation (WSS) services as well as the reduction in the practice of open defecation by 2030, under two assumptions: following the current trends and accelerated poverty reduction.

METHODS AND FINDINGS

Households reporting access to basic WSS services and those practising open defecation were extracted from 210 nationally representative Demographic Health Surveys and Multiple Cluster Indicator Surveys (1994-2016) from 51 countries. A Bayesian hierarchical mixed effect linear regression model was developed to predict the indicators in 2030 at national, urban-rural and wealth-specific levels. A Bayesian regression model with accelerated reduction in poverty by 2030 was applied to assess the impact of poverty reduction on these indicators. Out of 51 countries, only nine (Bangladesh, Bhutan, Ghana, India, Nepal, Pakistan, The Philippines, Togo and Vietnam) were predicted to reach over 90% coverage in access to basic services of drinking water by 2030. However, none of the countries were projected to achieve equivalent coverage for access to basic sanitation services. By 2030, 21 countries were projected to achieve the target of less than 10% households practising open defecation. Urban-rural and wealth-derived disparities in access to basic WSS services, especially sanitation, were more pronounced in sub-Saharan Africa than South Asia and Southeast Asia. Access to basic sanitation services was projected to benefit more from poverty reduction than access to basic drinking water services. Households residing in rural settings were predicted to receive greater benefit from poverty reduction than urban populations in access to both basic WSS services.

CONCLUSION

Achieving poverty eradication targets may have a substantial positive impact on access to basic water supply and sanitation services. However, many low- and lower-middle-income countries will struggle to achieve the goal of universal access to basic services, especially in the sanitation sector.

Prevalence of undernutrition and potential risk factors among children under 5 years of age in Amhara Region, Ethiopia: evidence from 2016 Ethiopian Demographic and Health Survey

More than one-third of deaths during the first 5 years of life are attributed to undernutrition, which are mostly preventable through economic development and public health measures. The present study aimed to explore the potential risk factors of undernutrition among children under 5 years of age in Amhara Region, Ethiopia. Data from the 2016 Ethiopian Demographic and Health Survey (EDHS) were used. A total of 974 children under 5 years of age were involved. A multivariable binary logistic regression analysis was used at a 5 % level of significance to determine the individual- and community-level factors associated with childhood undernutrition. The prevalence of stunting, wasting and underweight was 46⋅3, 9⋅8 and 28⋅4 %, respectively. About 23⋅1 % of children were both stunting and underweight, 7⋅3 % were both underweight and wasting and 4⋅5 % of children had all three conditions. Among the factors considered in the present study, the age of a child in months, birth weight, mother educational level, sex of household head, sources of drinking water and the type of toilet facility were significantly associated with undernutrition in the Amhara Region. Undernutrition among under-five children was one of the public health problems in the Amhara Region. The potential risk factors should be considered to develop strategies for reducing undernutrition in the Amhara Region. Finally, improving the living standards of the children is important to get better health care, to enhance the child's nutritional status and to reduce child mortality.

Low Economic Class Might Predispose Children under Five Years of Age to Stunting in Ethiopia: Updates of Systematic Review and Meta-Analysis

Background

Malnutrition is major public health problem worldwide, particularly in developing countries including Ethiopia. In 2016, out of 667 million children under five years of age, 159 million were stunted worldwide. The prevalence of stunting has been decreasing greatly from 58% in 2000 to 44% in 2011 and 38% in 2016 in Ethiopia. However, the prevalence of stunting is still high and considered as public health problem for the country. The aim of this systematic review and meta-analysis is to assess the prevalence of stunting and its associations with wealth index among children under five years of age in Ethiopia. Methodology. The databases searched were MEDLINE, Scopus, HINARI, and grey literature studies. The studies' qualities were assessed by two reviewers independently, and any controversy was handled by other reviewers using the Joanna Briggs Institute (JBI) critical appraisal checklist. The JBI checklist was used in assessing the risk of bias and method of measurement for both outcome and independent variables. Especially, the study design, study participants, definition of stunting, statistical methods used to identify the associations, results/data presentations, and odds ratios (ORs) with confidence intervals (CIs) were assessed. In the statistical analysis, the funnel plot, Egger's test, and Begg's test were used to assess publication bias. The I² statistic, forest plot, and Cochran's Q-test were used to deal with heterogeneity.

Results

In this review, 35 studies were included to assess the pooled prevalence of stunting. Similarly, 16 studies were used to assess the estimated effect sizes of wealth index on stunting. In this meta-analysis, the pooled prevalence of stunting was 41.5% among children under five years of age, despite its considerable heterogeneity (I² = 97.6%, p < 0.001, Q = 1461.93). However, no publication bias was detected (Egger's test p=0.26 and Begg's test p=0.87). Children from households with a medium or low/poor wealth index had higher odds of stunting (AOR: 1.33, 95% CI 1.07, 1.65 or AOR: 1.92, 95% CI 1.46, 2.54, respectively) compared to children from households with a high/rich wealth index. Both of the estimated effect sizes of low and medium wealth indexes had substantial heterogeneity (I² = 63.8%, p < 0.001, Q = 44.21 and I² = 78.3%, p < 0.001, Q = 73.73) respectively). In estimating the effect, there was no publication bias (small-studies effect) (Egger and Begg's test, p > 0.05).

Conclusions

The pooled prevalence of stunting was great. In the subgroup analysis, the Amhara region had the highest prevalence of stunting, followed by the Oromia and Tigray regions, respectively. Low economic status was associated with stunting in Ethiopia. This relationship was found to be statistically more accurate in Oromia and Amhara regions. The government should emphasize community-based nutrition programs by scaling up more in these regions, just like the Seqota Declaration.

Association between Infant and Young Child Feeding (IYCF) Indicators and the Nutritional Status of Children (6-23 Months) in Northern Ghana

Although recommended infant and young child feeding (IYCF) practices have been found to be protective against undernutrition in some settings, there is no finality yet due to inconsistencies in the literature. A cross-sectional survey of 581 mother-child pairs was conducted in northern Ghana in June 2018. The association between IYCF indicators and child undernutrition (stunting and wasting) were assessed. The descriptive analysis showed that 66.4% of the children (6-23 months) were introduced to complementary feeding in a timely manner, 69.4% met the minimum meal frequency, and 38.9% met the minimum acceptable diet daily. The prevalence of stunting, wasting, underweight and overweight was 33.2%, 14.1%, 27% and 2.6%, respectively. From the multivariable binary logistic regression, child gender, child age group and source of power for lighting the household were significantly associated with wasting. Intake of iron-rich foods, child age group, and maternal height were significantly associated with stunting after adjusting for confounders. The prevalence of the compliance with IYCF indicators was relatively high. None of the individual IYCF indicators showed significant association with undernutrition, except intake of iron-rich foods for stunting. Nutrition-specific interventions targeted at improving IYCF practices, dietary diversification and intake of nutrient-rich meals, should be adopted and scaled up to address undernutrition in northern Ghana.

Factors influencing undernutrition among children under 5 years from cocoa-growing communities in Bougainville

Half the children under the age of 5 years in Papua New Guinea (PNG) are undernourished, more than double the global average with rural areas disproportionately affected. This study examines factors associated with stunting, wasting and underweight in cocoa growers' children (<5 years) in the Autonomous Region of Bougainville (ARoB), using data from a comprehensive 2017 cross-sectional livelihoods survey. Sixteen independent predictors for stunting, wasting and underweight were selected based on the UNICEF Conceptual Framework of Determinants of Undernutrition. We used multilevel logistic mixed regression models to measure the association of the explanatory variables with stunting, wasting and underweight. At the household level, the adjusted OR (aOR) of stunting (aOR=1.71,95% CI 1.14 to 2.55) and underweight (aOR=2.11, 95% CI 1.16 to 3.82) increased significantly among children from households with unimproved toilet facilities. The aOR for underweight also increased among children from households without access to clean drinking water (aOR=1.97, 95% CI 1.19 to 3.29). Short maternal stature was significantly associated with child stunting, the odds increased as maternal height decreased (from 150 to <155 cm, aOR=1.52, 95% CI 1.02 to 2.26) (<150 cm, aOR=2.37, 95% CI 1.29 to 4.35). At the individual level, the odds of a child being underweight increased with birth order (second born, aOR=1.92, 95% CI 1.09 to 3.36; third born, aOR=6.77, 95% CI 2.00 to 22.82). Compared with children less than 6 months, children aged 6-23 months and 24-59 months had a higher odds of being stunted (aOR=3.27, 95% CI 1.57 to 6.78 and aOR=2.82, 95% CI 1.40 to 5.67) and underweight (aOR=4.83, 95% CI 1.36 to 17.24 and aOR=4.59, 95% CI 1.29 to 16.26). No variables were found to be significant for wasting. Interventions that simultaneously target key life stages for women and children and the underlying social and environmental determinants are required for sustained improvements to undernutrition.

Stunting diagnostic and awareness: impact assessment study of sociodemographic factors of stunting among school-going children of Pakistan

Background

Stunting is a major public health issue in most of developing countries. Although, its worldwide prevalence is decreasing slowly but the number of stunted children is still rising in Pakistan. Stunting is highly associated with several long-term consequences, including higher rate of mortality and morbidity, deficient cognitive growth, school performance, learning capacity, work capacity and work productivity. To prevent stunting, we proposed Stunting Diagnostic and Education app. This app includes detailed knowledge of stunting and it’s all forms, symptoms, causes, video tutorials and guidelines by the Pediatricians and Nutritionists.

Methods

A cross-sectional study has been conducted in schools of Multan District, Pakistan for the period of January 2019 to June 2019. Sample data of 1420 children, aged 4 to 18 years using three age groups, were analyzed by using SPSS version 21.0 to assess the prevalence of stunting and to analyze the risk factors associated with it in children under and over 5 age. Chi square test was applied in comparison with rural and urban participants and p-value < 0.05 was considered as significant. This study includes distribution of sociodemographic characteristics, parental education, working status of mothers, dietary patterns of school going children and prevalence of stunting in school going children. After getting study results, Stunting Diagnostic and Education app was developed according to the instructions of child experts and nutritionists.

Results

354 (24.93%) participants were stunted out of 1420, 11.9% children were obese and 63.17% children were normal. Out of 354 stunted children, higher ratio of stunting was found in the age group of 8–11 years children with 51.98 percentage. 37.85% stunted children were found in the age group of 4–7 years and 10.17% stunting was found in the age group of 12–18 years children. It was observed in the study that male children were highly stunted than female with 57.91 and 42.09% respectively. Children living in rural areas were more stunted affected as compared to the children living in urban society with percentage 58.76 and 41.24 respectively.

Conclusions

Our study concluded that 24.93% children were stunted, out of which, age group of 8–11 years children were highly stunted. The study showed that the literacy of mother or caregiver had high impact on children’s health. Therefore, Stunting Diagnostic and Education app was developed to educate mothers to diagnose stunting and to teach about the prevention of stunting.

Determinants of stunting, underweight and wasting among children < 5 years of age: evidence from 2012-2013 Pakistan demographic and health survey

BACKGROUND

Childhood malnutrition is a critical public health concern in Pakistan. We aimed to explore factors associated with malnutrition in Pakistani children (< 5 years of age) using the Pakistan Demographic and Health Survey (PDHS) 2012-2013.

METHODS

Sample of 3071 Pakistani children aged 0-59 months from the PDHS 2012-2013, with complete anthropometric measurements were included in the study. Nutritional status was evaluated using anthropometric indices; height-for-age, weight-for-height and weight-for-age, as proxy measures of three forms of under-five malnutrition including stunting, wasting and underweight respectively. Uni- and multivariate binary logistic regressions were used to examine the association between selected maternal-socio-demographic and child level variables (such as child sex, age, size at birth, antenatal clinic visits, recent diarrheal incidence and breastfeeding status) and three proxy measures of child nutritional status.

RESULTS

About 44.4% of under-five children were stunted, 29.4% were underweight and 10.7% were wasted. Children whose mothers lived in rural areas (aOR = 0.67, 95%CI 0.48-0.92), were aged ≥18 years at marriage (aOR = 0.76, 95%CI 0.59-0.99) and had visited antenatal clinic more than 3 times during pregnancy (aOR = 0.61, 95%CI 0.38-0.98) were less likely to be stunted. Mother's low educational level (aOR = 2.55, 95%CI 1.26-5.17), short stature (aOR = 2.31, 95%CI 1.34-3.98), child's small size at birth (aOR = 1.67, 95%CI 1.14-2.45) and mother's BMI were significantly associated with child's underweight status. Children whose mothers had no education were more likely to be wasted (aOR = 3.61, 95%CI 1.33-9.82).

CONCLUSION

The study suggests that most of the analysed factors that accounted for malnutrition in Pakistani children (such as mother's age at marriage, educational level and mothers' nutritional status) are preventable. Therefore, to reduce the burden of malnutrition interventions that can address these factors are required such as community based education and targeted nutritional interventions.