Definitions and prevalence of undernutrition

Hickson, Mary; Smith, Sara

doi:10.1002/9781118993880.ch1.1

Cited by 2 publications

(2 citation statements)

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“…withered appearance) and underweight (Katsilambros et al, 2011; Sumon, Hossain, Ar Salan, et al, 2023). Stunting is the most typical outcome of undernutrition in childhood, repeated sickness and inadequate behavioural stimulation, which is a complicated problem with detrimental long‐lasting effects on cognitive growth, physical development and general health (Hickson & Smith, 2018). The prevalence of stunting has decreased globally from 204.2 (i.e.…”

Section: Introductionmentioning

confidence: 99%

Determinants of stunting among under‐five children: Evidence from Cambodian Demographic and Health Survey 2021–2022

Sumon,

Akter,

Sujon

et al. 2024

Child

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BackgroundEpidemiological and nutritional modifications are causing an increase in stunting in many low‐ and middle‐income countries (LMIC), which will eventually result in juvenile diseases and mortality. Therefore, this study aimed to identify the influential factors contributing to stunting among under‐five children in Cambodia.MethodsA secondary dataset consisting of 3268 under‐five children was extracted from the latest Cambodian Demographic and Health Survey (CDHS)‐2021/2022 dataset. The Chi‐square test and Boruta algorithm were used for covariate selection, and logistic regression approaches were used to determine the influence of demographic, socioeconomic and other factors on the presence of stunting.ResultsFindings revealed that about 21% of under‐five children were stunted, and the prevalence of stunting was higher in rural areas than in urban areas. The prevalence of child stunting was lower in families with highly educated parents. A child whose father had a secondary education had 0.71 times lower (adjusted odds ratio [AOR]: 0.71, 95% CI: 0.520–0.969) chance of stunting than a child whose father had no education. Findings revealed that Ratnak Kiri, Mondul Kiri, Stung Treng, Pursat and Kampot had a greater prevalence of stunting than other places, ranging from 27.11% to 35.70%, whereas Banteay Meanchey, Phnom Penh and Kandal had the lowest rates, ranging from 12.80% to 16.00%. Results of the Boruta algorithm and logistic regression suggested that under‐five stunting is significantly influenced by factors such as the child's age, size at birth, mother's age at first birth, mother's body mass index (BMI), father's educational status, cooking fuel, and wealth index.ConclusionsIt is necessary to take initiatives for reducing the prevalence of stunted children prioritising the identified factors that ultimately help to reduce the burden of child health. The authors believed that the findings of this study will be helpful for policymakers in designing the appropriate policies and actions to achieve the Sustainable Development Goals (SDGs) by reducing stunting among under‐five children in Cambodia.

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Section: Introductionmentioning

confidence: 99%

Determinants of stunting among under‐five children: Evidence from Cambodian Demographic and Health Survey 2021–2022

Sumon,

Akter,

Sujon

et al. 2024

Child

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“…It is difficult to differentiate between undernutrition and overnutrition by using malnutrition instead of undernutrition. Generally, the term malnutrition is used in most clinical studies to refer to undernutrition (Hickson & Smith, 2018 ; Ngaruiya et al, 2017 ). Undernutrition is still a serious problem, especially for young children under the age of five (Popkin et al, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

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

Sumon

Salan

Kabir

et al. 2023

Food Science & Nutrition

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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.

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Definitions and prevalence of undernutrition

Cited by 2 publications

References 9 publications

Determinants of stunting among under‐five children: Evidence from Cambodian Demographic and Health Survey 2021–2022

Determinants of stunting among under‐five children: Evidence from Cambodian Demographic and Health Survey 2021–2022

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

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