Socio-demographic determinants of malnutrition among primary school aged children in Enugu, Nigeria

Igbokwe, Obianuju O.; Adimorah, Gilbert Nwadiakanma; Ikefuna, AN; Ibeziako, Ngozi; Ubesie, Agozie C; Ekeh, C.U.N; Iloh, Kenechukwu K

doi:10.11604/pamj.2017.28.248.13171

Cited by 24 publications

(34 citation statements)

References 13 publications

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“…The prevalence of underweight in our study fell within the range reported in other studies done in Southeast Nigeria [14,[34][35][36]. Lower prevalence has however been reported in a neigbouring state among urban dwellers [34,35]. Other studies in Nigeria [5,32,37,38], Ghana [22], Ethiopia [6,7] and India [16] have reported higher prevalence of underweight.…”

Section: Discussionsupporting

confidence: 84%

“…The findings of studies done in other parts of the country among the school-age children varied greatly. The prevalence of underweight in our study fell within the range reported in other studies done in Southeast Nigeria [14,[34][35][36]. Lower prevalence has however been reported in a neigbouring state among urban dwellers [34,35].…”

Section: Discussionsupporting

confidence: 84%

“…The prevalence of thinness varied greatly from place to place. The study prevalence was higher than that reported in Enugu [34] and Jos [37] but lower than that reported in Sagamu [5] all in Nigeria. The lower prevalence of thinness reported in Enugu may be because their sample was drawn mainly from private schools as opposed to this study where most of its participants were from public schools.…”

Section: Discussioncontrasting

confidence: 83%

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Nutritional status of school age children in Abakaliki metropolis, Ebonyi State, Nigeria

et al. 2020

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Background: Malnutrition is a major public health problem with short and long-term adverse effects on children particularly in middle and low-income countries. Three out of every ten under-five children are said to be stunted and 19.4% underweight in Nigeria. In Ebonyi State, between 2013 and 2015, the proportion of preschool children with chronic undernutrition rose from 16.2 to 20.6%. Little is documented about the nutritional status of school-age children in Ebonyi State and Nigeria. Methods: We conducted a descriptive cross-sectional study among 780 children aged 6 to 12 years from 10 primary schools in Abakaliki metropolis. A multistage sampling method was used to select the participants. A pretested interviewer-administered structured questionnaire was used to collect information from the children and their parents. Body Mass Index (BMI), Z scores of the weight for age, BMI for age and height for age were obtained using the WHO AnthroPlus software. We estimated the prevalence of undernutrition, over-nutrition, underweight, thinness, stunting, overweight and obesity. Result: Out of 751 pupils that participated, 397 (52.9%) were females and 595 (79.2%) were in public schools. The overall prevalence of undernutrition was 15.7% and that of over-nutrition was 2.1%. The prevalence of underweight, thinness and stunting, overweight and obesity were 8, 7.2, 9.9, 1.4 and 0.7% respectively. The proportion of pupils who were thin was higher among males (8.7%), those attending public schools (8.6%) and those dwelling in rural parts of the metropolis (14.3%) compared to females (5.8%) private school attendees (1.9%) and urban dwellers (4.6%). Stunting was found to be higher among pupils attending public schools (11.8%) compared to those attending private schools (2.5%). The prevalence of stunting was 19.3% among the pupils residing in rural areas and 5% among the pupils living in urban areas of the metropolis. No pupil in private schools was underweight. Overnutrition was not found among the pupils in rural areas. Conclusion: Both under and over nutrition exist in Abakaliki metropolis. Undernutrition is the more prevalent form of malnutrition among school age children in the metropolis.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionsupporting

confidence: 84%

Section: Discussioncontrasting

confidence: 83%

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Nutritional status of school age children in Abakaliki metropolis, Ebonyi State, Nigeria

et al. 2020

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“…Married mothers tend to have better mental states [21][22] because the mother can share the burden and role with her husband. A better parental process will reduce the risk of fives being stunted [23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Regional Disparities of Stunted Toddler in Indonesia

Laksono¹,

Kusrini²

2019

Preprint

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Background/Objective: Although there has been a decline in the prevalence of stunting in Indonesia in the past decade, the figure is still the highest among countries in Southeast Asia. This figure varies in 34 provinces. The purpose of the study was to analyze the regional disparity of stunted toddlers in Indonesia. Materials and Methods: The analysis in this study uses data from the 2017 Indonesian Nutritional Status Monitoring (PSG 2017). Multi-stage cluster random sampling was used in the PSG 2017. The sample used in this study was 149,571 toddlers aged 0-59 months. Data were analyzed using the Binary Logistic Regression test. Results: Toddlers in the Sumatra region have the possibility of 0.921 times stunted compared to toddlers in the Papua region (OR 0.921; 95% CI 0.880-0.963). The Java-Bali region was 0.805 times more likely than toddlers in the Papua region to be stunted (OR 0.805; 95% CI 0.763-0.843). The Nusa Tenggara Region was 1.394 times more likely than toddlers in the Papua region to be stunted (OR 1.394; 95% CI 1.315-1.478). Kalimantan Region has 1.161 times more likely than toddlers in the Papua region to be stunted (OR 1.161; 95% CI 1.103-1.223). The Sulawesi region has 1.184 times the possibility of toddlers in the Papua region being stunted (OR 1.184; 95% CI 1.128-1.243). Maluku region has a probability of 0.884 times that of toddlers in the Papua region to be stunted (OR 0.884; 95% CI 0.824-0.949). Conclusion: There was a regional disparity of stunted toddler in Indonesia.

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“…7 Prevalence of nutritional anaemia is 41.8% and almost half of the school children are malnourished shown in a study conducted in an urban slum area of Delhi by Sunil Gomber. 8 In our study prevalence of anaemia was 73.1%.…”

Section: Discussionmentioning

confidence: 99%

Socio-demographic determinants of malnutrition among school going children in an urban slum area of central India with special reference to nutritional anaemia

Meshram

Khobragade

2018

Int J Community Med Public Health

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INTRODUCTIONThe school going age is the dynamic period of physical growth and development, when children undergo mental, emotional and social change. School health services still is a neglected branch of community health. 1 st school health service was started in Baroda city in 1909. 1 India is in the phase of socio-demographic and health transition. Optimal nutrition and good health is important for overall human development. There is variation in nutrition status of people living in urban and rural areas. 2 Urban poor are the most neglected peoples in the community. This study peeps into the socio-demographic factors associated with malnutrition among school going children living in an urban slum area. Aims and objectives1. To find out the prevalence of malnutrition among school children in a slum area of a metropolitan city. 2. To find out socio-demographic determinants of malnutrition. 3. To find out prevalence of nutritional anaemia among school children in slum area and determine association with malnutrition. METHODS Study design:Cross sectional study. Study setting:Study was conducted in a slum area of a metropolitan city in central India. ABSTRACTBackground: Children residing in urban slum area are the most vulnerable. Poverty, illiteracy, neglect of health, low socioeconomic status and non-affordability of quality health care services make them more vulnerable to malnutrition. Methods: 361 school going children residing in urban slum area were included in study. Socio-demographic details of the children taken from their parents. Health check-up was done. Results: Prevalence of malnutrition was 40.17%. 17.17% children were underweight and 22.99% were stunted. Conclusions: Family size and socioeconomic status are the important determinants of malnutrition.

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Socio-demographic determinants of malnutrition among primary school aged children in Enugu, Nigeria

Cited by 24 publications

References 13 publications

Nutritional status of school age children in Abakaliki metropolis, Ebonyi State, Nigeria

Nutritional status of school age children in Abakaliki metropolis, Ebonyi State, Nigeria

Regional Disparities of Stunted Toddler in Indonesia

Socio-demographic determinants of malnutrition among school going children in an urban slum area of central India with special reference to nutritional anaemia

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