scholarly journals A survey of the nutritional status of schoolchildren. Relation between nutrient intake and socio-economic factors.

1973 ◽  
Vol 27 (2) ◽  
pp. 91-99
Author(s):  
J Cook ◽  
D G Altman ◽  
M C Moore ◽  
S G Topp ◽  
W W Holland ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Nutrient Intake ◽  
Economic Factors ◽  
Socio Economic Factors

scholarly journals An Assessment of Socio-Economic Factors on Nutritional Status in Primary School - A Cross Sectional Study in Purulia of West Bengal

2016 ◽  
Vol 4 (2) ◽  
pp. 15-18
Author(s):  
Dimpal Arora ◽  
Subrata Datta ◽  
Soudeep Kr Sau
Keyword(s):  
Nutritional Status ◽  
Primary School ◽  
Family Size ◽  
School Children ◽  
West Bengal ◽  
Primary School Children ◽  
Economic Factors ◽  
Cross Sectional ◽  
Economic Class ◽  
Socio Economic Factors

Background: Child malnutrition is one of the most vital global health problems concerning in most of the poor communities leading to high morbidity and mortality. Various studies have highlighted the relation-ship between socioeconomic status and nutrition levels of primary school children. The present study focuses on socioeconomic inequality resulting in risk of malnutrition. Objectives of the Study were to find the Impact of socio-economic factors on nutritional status in primary school children. Methods: A cross sectional survey of 281 children, aged 6-10 years were selected from remote primary school in Purulia were used in the study. the primary schools were randomly selected. The studied variables included; Age, sex of the pupils, parents’ socio-economic status and family size of selected House Holds. Interview of pupils and parents was carried out using prepared Nordic questionnaire template. Weight and height of the children were measured. and Body Mass Index (BMI) was calculated by standard method. Data was analyzed using Microsoft excel, SPSS version 8.0 .The chi-square significance of association was deter-mined at Level of significance less than 0.05. Results: The proportion of girls and boys are 55.8% and 44.2% respectively. The nutritional status of children from lower socio economic class was poor as com-pared to their counter parts came from upper socio economic class. Children with BMI <5th percentile were 30.9% in low class while in high class it was only 12.1%. Prevalence of malnutrition was 41.9% among children of family size>4 as compare to 16.4% in those of House Holds had family size<5. During comparison of the studied children with children of same age group of overall West Bengal from NNMB survey, 2002, the first group had lower BMI than the second group. Conclusion: Poverty, low literacy rate, large families, food insecurity, food safety, appears to be the important factors responsible for poor health status of children from low socioeconomic class. Efforts should be given for exploring knowledge about nutritional needs during childhood, and creating nutritional and health awareness among young rural children to ensure a better quality of life for the next generation.International Journal of Occupational Safety and Health, Vol 4 No 2 (2014) 15 – 18

Association between nutritional status, environmental and socio-economic factors and Giardia lamblia infections among children aged 6–71 months in Brazil

2009 ◽  
Vol 103 (5) ◽  
pp. 512-519 ◽  
Author(s):  
Roberta Ribeiro Silva ◽  
Camilo Adalton Mariano da Silva ◽  
Cíntia Aparecida de Jesus Pereira ◽  
Roney Luiz de Carvalho Nicolato ◽  
Deborah Negrão-Corrêa ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Giardia Lamblia ◽  
Economic Factors ◽  
Socio Economic Factors

scholarly journals Differentiating effects of socio-economic factors on relative weight and nutritional status in Polish schoolchildren across intergenerational changes

2020 ◽  
Vol 23 (16) ◽  
pp. 2904-2914
Author(s):  
Natalia Nowak-Szczepanska ◽  
Aleksandra Gomula ◽  
Slawomir Koziel
Keyword(s):  
Nutritional Status ◽  
Family Size ◽  
Parental Education ◽  
Social Factor ◽  
Relative Weight ◽  
Total Sample ◽  
Economic Factors ◽  
Cross Sectional ◽  
Mid Upper Arm Circumference ◽  
Socio Economic Factors

AbstractObjective:The aim of this study was an assessment of the effects of urbanisation level, family size and parental education on body mass index (BMI) and mid-upper arm circumference (MUAC) among Polish schoolchildren in cross-sectional surveys conducted between 1966 and 2012.Design:The analysis involved schoolchildren measured in four Polish Anthropological Surveys (1966, 1978, 1988 and 2012). Socio-economic factors involved: urbanisation level (city, town and village), family size (one child, two children, three children, four or more children), and father’s and mother’s education (lower and higher education).Setting:Regions in Poland – cities: Warsaw, Lodz and Wroclaw; towns: Bystrzyca Klodzka, Pinczow, Siemiatycze, Wolsztyn and their rural surroundings.Participants:A total sample consisted of 63 757 children (31 774 boys and 31 983 girls) aged 7–18 years.Results:Between 1966 and 1988, both BMI and MUAC had significantly higher values in children from cities, in families with one child and with higher parental education (P < 0·05). However, MUAC revealed significant differences between particular socio-economic groups more frequently than BMI. In 2012, urbanisation level and parental education ceased to show a differentiating effect on both indicators, while family size remained a significant social factor for both measures (BMI: P < 0·05; MUAC: P < 0·01).Conclusions:Since MUAC reflected socio-economic differences more frequently than BMI, it could be a more sensitive and reliable anthropometric measure revealing the effects of socio-economic factors on children’s nutritional status.

scholarly journals Nutritional status and correlated socio-economic factors among preschool and school children in plantation communities, Sri Lanka

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Lahiru Sandaruwan Galgamuwa ◽  
Devika Iddawela ◽  
Samath D. Dharmaratne ◽  
G.L.S. Galgamuwa
Keyword(s):  
Sri Lanka ◽  
Nutritional Status ◽  
School Children ◽  
Economic Factors ◽  
Socio Economic Factors
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