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Association of Dietary Intake with Nutritional Status of School-Going Children (5-10 years) in District Charsadda

Association of Dietary Intake with Nutritional Status of School-Going Children (5-10 years) in District Charsadda

Attaullah Jan1*, Saleem Khan2, Iftikhar Alam1, Farzeen Khan3 and Muhammad Farooq4*

1Human Nutrition and Dietetics, Department of Agriculture, Bacha Khan University, Charsadda, Khyber Pakhtunkhwa, Pakistan; 2Department of Human Nutrition, Faculty of Nutrition Sciences, the University of Agriculture, Peshawar, Khyber Pakhtunkhwa, Pakistan; 3Department of Community Health Sciences, Peshawar Medical and Dental College, Warsak Road Peshawar, Khyber Pakhtunkhwa, Pakistan; 4College of Food Science and Engineering, Northwest A and F University, Yangling, Shaanxi 712100, PR China.

 
*Correspondence | Muhammad Farooq and Attaullah Jan, College of Food Science and Engineering, Northwest A and F University, Yangling, Shaanxi 712100, PR China; Human Nutrition and Dietetics, Department of Agriculture, Bacha Khan University, Charsadda, Khyber Pakhtunkhwa, Pakistan; Email: Farooq.fst28@gmail.com, a tta.umerzai@gmail.com

ABSTRACT

This cross sectional study had two objectives: 1) to evaluate the nutritional status and nutrients intake of the study subject, and 2) to find out the association of nutrients intake with nutritional status. This Study was conducted in Bahlola, a rural Union Council of District Charsadda KPK. The study included 235 school-going children of both sex aged 5-10 years. A Pre-tested questionnaire was used for collection of data for the parameters: socio-demographics, anthropometrics, and dietary intake. Data on anthropometrics included measurement of weight, height and BMI. Age and anthropometrics (weight, height and BMI) were used for z-score calculation following WHO standards and using WHO AnthroPlus software. Dietary data were collected in a 24-HR Dietary Recall Questionnaire. Data were analyzed in SPSS (Version 20) and was reported in means (SD). Pearson correlation analyses were performed to establish relation between anthropometrics and nutrients intake. A p-vale<0.05 was considered as significant. Children of the current study belonged to low-middle socioeconomic class. Prevalence of malnutrition as indicated by any of the three indicators was: underweight 16.8%; stunting 27.7%; thinness 9.8 %. Correlation between age and protein and energy intake, and weight and energy and protein, showed that protein energy intake increased with increasing age and weight. Overall, both stunting and underweight were more common in girls than boys. Girls in general, had poor nutrient intake compared to boys, girls were therefore more likely to suffer from under-nutrition compared to boys.

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Journal of Innovative Sciences

December

Vol.9, Iss.2, Pages 192-241

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