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This study aims to examine the relationship between neutrophil to lymphocyte ratio (NLR), handgrip strength (HGS) and nutritional status in non-critically ill patients and outpatients.

A cross-sectional study was conducted on 80 geriatric patients. Nutritional status was evaluated using the Mini Nutritional Assessment Short Form, Geriatric Nutritional Risk Index, some anthropometric and biochemical parameters. NLR was calculated from the complete blood count results. Data were analyzed using SPSS 24.0.

While 38.3% of patients were malnourished or at risk of malnutrition, 61.7% had normal nutritional status. Mini Nutritional Assessment Short Form was not correlated with NLR, whereas it showed a weak positive correlation with HGS. According to the logistic regression analysis, age, HGS, hemoglobin and platelet to lymphocyte ratio were significant independent factors for predicting malnutrition or risk of malnutrition. The receiver operator characteristic curve analysis showed that the optimum HGS cut-off point for patients with malnourished or at risk of malnutrition was 13.2. In conclusion, HGS was associated with the nutritional status. NLR was not associated with nutritional status but associated with nutritional risk.

It is well known that malnutrition is a serious health problem among older adults, and it is important to assess the nutritional status of older adults because of the adverse health effects. In addition, to the best of the authors’ knowledge, this is the first study to determine the relationship between NLR, HGS and nutritional status in non-critically ill patients and outpatients.

Malnutrition during childhood precedes growth failure and affects the child’s well-being later in life. This study aims to investigate the potency of iron-fortified klutuk banana (Musa balbisiana Colla) flour on growth parameters and fibroblast growth factor 21 (FGF21) expression in malnourished rat model.

Rats were allocated into normal control (NC), untreated malnutrition (MC), malnutrition + iron-fortified klutuk banana flour (IBF) and malnutrition + Indonesian Government-issued biscuit (GB). Malnutrition was induced by an isoenergetic low-protein diet for five weeks. The IBF and GB groups were supplemented with IBF 1.2 g/200 gBW and GB 1.2 g/200 gBW, respectively, via gavage daily for three weeks. The body weight and length, the levels of plasma and liver FGF21 and red blood cell indices were analyzed.

After three weeks of supplementation, the IBF group showed higher body weight (245 ± 13.6 g vs 201.8 ± 16.3 g; p = 0.0004) and length (20.9 ± 0.5 cm vs 19.8 ± 0.5 cm; p = 0.021) compared with the untreated group. The plasma FGF21 level decreased in the IBF group (p = 0.034). The IBF group altered mean corpuscular volume and mean corpuscular hemoglobin, suggesting the IBF might attenuate malnutrition-induced anemia. Overall, the IBF prevented growth failure in malnourished condition. This might be mediated by the suppression of FGF21 expression, along with the prevention of malnutrition and anemia.

This study provides preliminary information about the potential use of rarely consumed banana, klutuk banana, as a supplement to treat malnutrition. This study might help the developing countries to eliminate the widespread malnutrition in economically challenged communities.

The purpose of this paper is to investigate how socioeconomic status and demographic factors were associated with child malnutrition as well as how these factors accounted for socioeconomic inequality of child malnutrition in Bangladesh during 2007-2011.

Data of this study come from two cross-sectional rounds (2007 and 2011) of the Bangladesh Demographic and Health Survey. This paper uses ordinary least square models to estimate the correlates of child malnutrition. The study further uses the concentration curve and the concentration index to estimate socioeconomic inequality of child malnutrition in Bangladesh. Finally, the decomposition method is used to explain socioeconomic inequality of child malnutrition in the study period.

Regression analysis indicates that child’s age, breast feeding, child’s birth order, the number of under-five child in the household, household wealth and parental education were strongly correlated with child malnutrition in Bangladesh. This study finds that absolute level of child malnourishment slightly decreased between 2007 and 2011, but socioeconomic inequality increased during this period. Children from the poorest household endured the burden of malnourishment more than those from the wealthiest households. The level of inequality also increased among the rural children, although it remained stagnant among the urban children. Decomposition analysis highlights that parental education had a significant negative relation with the average level of malnutrition, but its role was primarily centred among children from wealthier households.

An approach linking the ministry of health and education with other ministries may speed up the reduction of inequalities in social determinants of childhood undernourishment. Most importantly, there is a need for comprehensive government policies to reduce growing economic inequality and increase the relative income of the poor in Bangladesh.

This study is the first of its kind to apply the decomposition method to explain the socioeconomic inequality of child malnutrition in Bangladesh. This paper presents an enriched understanding of socioeconomic inequality of child malnutrition in Bangladesh during 2007-2011.

The purpose of this study is to evaluate the nutritional status of patients with end-stage kidney disease undergoing hemodialysis.

End-stage renal failure outpatients on hemodialysis were selected using simple random sampling technique from the dialysis unit of Sono Hospital Limited, Kushtia, Bangladesh. The nutritional status of 142 participant, of age 18-65 years, was screened. A direct method of nutritional assessment including anthropometric measurement, biochemical measurement, clinical assessment and dietary method was conducted. A logistic regression was applied to estimate the prevalence of malnutrition in hemodialysis patients.

In total 69.0 per cent participants were men and 31.0 per cent were women, whereas about 65.5 and 16.9 per cent patients of this study had a BMI of less than 23 kg/m² and 18.5 kg/m² (p < 0.05) where malnutrition was significantly prevalent. Mean ± SD hemoglobin level of both men and women participants was below the normal level which might increase the risk of malnutrition (p < 0.05). Of the total number of participants, 97.2 per cent were anemic, 66.9 per cent had anorexia, 63.4 per cent complained of nausea, 58.5 per cent complained of vomiting and 26.1 per cent complained of diarrhea, factors that can increase the risk of malnutrition in hemodialysis patients (p < 0.05). The creatinine and urea levels were higher in both men and women participants (p < 0.05). Results show significant difference in albumin levels among men and women (p < 0.05). The bicarbonate level was lower in both men and women, and the participants were suffering from metabolic acidosis (p < 0.05). About 87.3 per cent participants were taking inadequate amounts of protein which was a significant risk factor of malnutrition in hemodialysis patients (p < 0.01).

The result shows that renal failure is prevalent more in men than in women. The majority of patients on hemodialysis were at a risk of malnutrition including being underweight. Most of the patients were anemic. Malnutrition is related to low nutrient intake.

This paper aims to evaluate the progress made in achieving sustainable development goal-2 (SDG 2) in India, with a focus on ending hunger, ensuring food security, improving nutrition and promoting sustainable agriculture. The assessment uses data from SDG Index reports, which offer a comprehensive overview of the advancements made by 28 states and 8 union territories (UTs) in India.

The evaluation is based on information derived from three editions of the SDG Index reports, initially published in 2018 and subsequently in 2019 and 2020. These reports provide a detailed analysis of the status and achievements of different states and UTs in relation to SDG 2. The categorization of states and UTs into aspirant, performer, front runner and achiever categories serves as a crucial framework for assessing the progress.

Despite concerted efforts by India, the majority of states and UTs are positioned in the aspirant and performer categories, suggesting that significant challenges persist in achieving SDG 2 targets. The results emphasize the necessity for stronger measures to elevate states and UTs to the categories of front-runners and achievers. The persistent challenges of malnutrition, hunger and their economic ramifications require immediate and strategic interventions to address these pressing concerns.

This paper contributes to the existing literature by providing a comprehensive analysis of the progress towards SDG 2 in India, using the insights from the SDG Index reports. The categorization framework used in this assessment offers a nuanced understanding of the challenges faced by different regions, highlighting the original contribution of this study. The findings underscore the urgency of targeted efforts to address malnutrition, hunger and related issues, emphasizing the importance of sustained commitment to achieving SDG 2 for the overall well-being of vulnerable populations.

This study aims to examine the differences within individuals and clusters in nutritional status and identify socioeconomic factors in the nutritional status of under-five children in Ethiopia.

A weighted sub-sample of 5,270 under-five children was drawn from the under-five children data set of the Ethiopian 2019 Mini Demographic and Health Survey. Multilevel modeling was used to look at the association between the nutritional status of children with predictors.

The proportion of stunting, underweight and wasting among under-five children were 39.3%, 28.6% and 16.3%, respectively. The observed Global Moran Index’s value for child malnutrition (stunting, wasting and underweight) prevalence in Ethiopia were I = 0.204 for stunting, I = 0.152 for wasting and I = 0.195 for underweight at p = 0.000 was statistically significant indicating that spatial variability of malnutrition of under-five children across survey clusters and regions was observed. Moreover, the result of heterogeneity between clusters obtained for stunting, underweight and wasting was significant providing evidence of variation among regional clusters concerning the status of nutrition of under-five children. Child’s age in months, breastfeeding, family educational level, wealth index, place of residence, media access and region were highly significantly associated with childhood malnutrition. The inclusion of the explanatory variables has shown a significant impact on the variation in malnutrition among regions.

Enhance education, expanding the activities regarding nutritional and health services using media, health extension workers, and health institutions.

The study provides the malnutrition situation status of Ethiopian country when the survey carried out.

This paper aims to examine the concept of poverty and malnutrition in Africa, implications and the way out.

Several literatures were reviewed on the causes, modes, implications and solutions to the contemporary challenges of poverty and malnutrition in Africa.

Poverty and malnutrition are two sides of a coin that are ravaging the African continent. These were as a result of underdevelopment, maladministration and lack of focus and vision by the generations of leaders saddled with administration in different African countries. Poverty in Africa embraces lack of basic human needs faced by people in African society. Many African nations are very poor, and their income per capita or gross domestic product per capita fall toward the bottom of list of nations of the world, despite a wealth of natural resources. In 2009, according to United Nations (UN), 22 of 24 nations identified as having “Low Human Development” on the UN’s Human Development Index were in sub-Saharan Africa and 34 of the 50 nations on the UN list of least developed countries are in Africa. The UN Food and Agriculture Organization estimates that 233 million people in sub-Saharan Africa were hungry/undernourished in 2014-2016 (its most recent estimate). In total, 795 million people were hungry worldwide. According to the World Bank, sub-Saharan Africa was the area with the second largest number of hungry people, as Asia had 512 million, mainly due to the much larger population of Asia when compared to sub-Saharan Africa. World Bank also reported in 2012 that sub-Saharan Africa Poverty and Equity Data was 501 million people, or 47 per cent Poverty has also been reported as the principal cause of hunger in Africa and the principal causes of poverty have been found to be harmful economic systems, conflict, environmental factors such as drought and climate change and population growth.

This study examined the concept of poverty and malnutrition in Africa, the implications and the way out.

The purpose of this paper is to highlight the determinants of malnutrition of primary school‐age (five to ten years) children in urban and slum areas. The ultimate objective is to frame policy proposals for children's nutritional welfare.

In this empirical study, logit model is applied to 882 observations of primary data. The composite index of anthropometric failure (CIAF) is constructed to use an indicator of malnutrition.

The probability for anthropometric failure increases by age, birth‐order, female sex and activity of the child (child labor or home‐care activity) other than schooling. The parents' education, specifically mothers' education, can play an important role for child's nutritional status. Malnutrition is positively related with congestion in the household (number of household members per room), while provision of electricity, safe drinking water and underground drainage turns out to be negatively affecting children's malnutrition. The children living in slums are more likely to experience anthropometric failure.

From the policy perspective awareness about gender equity of child, adult education, growth of household income specifically of slum areas and improvement in living conditions (through public health works program) may contribute to enhance children's nutritional status.

The slums need targeted policy for children welfare regarding their nutrition in the form of provision of public utilities and income support.

From the methodological point of view, CIAF has been estimated as a measure of malnutrition. The findings of study may support academicians, policy makers and social activists for human development programs.

This study aims to enhance understanding of malnutrition's effect on academic achievement of primary school students.

This is a descriptive, cross-sectional design built on Roy's adaptation model (RAM). This study uses a random cluster sample, consisting of 453 primary school students. Contextual stimuli (mother's educational level, income and child’s breakfast eating) and focal stimuli (wasting, thinness, body mass index and stunting) were examined regarding adaptive responses to student’s academic achievement.

The investigation revealed that Model 1, which took into account factors of age, gender, the frequency of breakfast, income, the number of family members and the education of mothers, explained 12% (R² = 0.12) of the variance in academic achievement. Stuntedness (β = −3.2 and p < 0.01), BMI (β = 0.94 and p < 0.001), family income per month (β = 5.60 and p < 0.001) and mother's education (β = 2.79 and p < 0.001) were the significant predictors in Model 2.

This study provides evidence that malnutrition is associated with ineffective academic achievement. Moreover, variables such as the mother's level of education, family income and the child’s breakfast consumption have a significant impact on academic achievements.

RAM is a useful framework for determining factors affecting people's reactions to difficult circumstances.

Previous research assumes that economic development is the key to increasing the food supply and alleviating child malnutrition. However, economic development alone does not promise that income is distributed fairly, nor does it guarantee that other human needs will be fulfilled. What has been missing from cross-national research is an analysis of how gender inequality shapes women’s abilities to effectively maintain food security. The current study contributes to this literature by exploring the multidimensional effects of women’s empowerment on child stunting and wasting.

Pooling data from the Demographic and Health Surveys and the World Bank, the analysis estimates a series of multi-level models that examine the country-level influences on malnutrition, while also accounting for household and maternal characteristics that affect food security at the individual level.

Results suggest that improvements in women’s education, control over reproduction, representation in national politics, and life expectancy correspond to improvements in child malnutrition. Notably, the effects of gender inequality are comparable to or larger than those of economic development. The multi-level modeling technique illustrates how social forces that are larger than the individual shape the chances of experiencing food insecurity.

Cross-national data are limited in scope and cannot prove causality. Further research is also needed to better understand the process by which women wield advances in rights and empowerment to affect food security.

If policymakers want to facilitate food security in poor countries, they should not disregard the potential of policies that will promote more equitable rights for women.