Confounding Effects of Food Intake and Physical Activities on Student Body Mass Index Using General Loglinear Models
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Published:2021-09-10
Issue:8
Volume:17
Page:858-866
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ISSN:1573-4013
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Container-title:Current Nutrition & Food Science
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language:en
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Short-container-title:CNF
Author:
Mahmud Zamalia1,
Makhtar NurAthirah1
Affiliation:
1. Centre for Statistical and Decision Science Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
Abstract
Background:
There is need to prioritize the promotion of physical activity and eating habit to promote healthy
practices and prevent the occurrence of disease and obesity.
Objective:
This study aims to examine the association strength between types of food intake and physical activities using
General Loglinear Models (GENLOG).
Methods:
A cross-sectional survey was conducted on selected secondary schools in the eastern
states of Peninsular Malaysia. It involved a sample of 326 students (aged between 13 to 17 years).
A questionnaire was administered to the students within the school compound and a face-to-face interview
was conducted. Ratio Chi-square statistic was used to determine the association between
the types of food intake and physical activities; while, Mantel Haenszel’s test of homogeneity was
used to identify the presence of confounding variables.
Results:
The results showed that the consumption of breakfast, fast food, and snacks was significantly associated with
various physical activities with some confounding effects.
Conclusion:
Comparison of several loglinear models confirmed the homogenous loglinear model
as most parsimonious in explaining the association between types of food intake and physical activity
among adolescents.
Publisher
Bentham Science Publishers Ltd.
Subject
Public Health, Environmental and Occupational Health,Nutrition and Dietetics,Food Science