دورية أكاديمية

Determination of the obesity prevalence and its associated factors among community in Selangor, Malaysia: an ordinal logistic regression approach

التفاصيل البيبلوغرافية
العنوان: Determination of the obesity prevalence and its associated factors among community in Selangor, Malaysia: an ordinal logistic regression approach
المؤلفون: Nordin, Noraznie, Zahid, Zalina, Ismail, Zaliha, Munira Yassin, Siti, Mohd Nawawi, Hapizah, Sheikh Hussin, Siti Aida
المصدر: Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 1: July 2020; 428-434 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v19.i1
بيانات النشر: Institute of Advanced Engineering and Science
سنة النشر: 2020
مصطلحات موضوعية: Obesity, Biomarker, Ordinal logistic regression, Cauchit link function
الوصف: Obesity is becoming an epidemic globally as it has been closely linked with a wide variety of chronic diseases. The identification of associated factors for obesity occurrences is still the main interest of many researchers. However, there has been extensive disagreement among researchers over possible factors associated with obesity which commonly involve the demographic factors, socioeconomic status (SES) and environmental factors. Biomarkers are also considered as important possible factors linked with the prevalence of obesity but investigations looking into their associations are still lacking. Therefore, it is important to examine factors that are associated with obesity using biomarkers and common factors to get detailed perspectives on obesity prevalence. The objectives of this study are to determine the prevalence of obesity and to examine the association between the common factors and biomarkers with obesity among community in Selangor, Malaysia. The results showed that the prevalence of obesity among participants was 49% (N=498) and Ordinal regression model with Cauchit built-in link function was the best fitted model to predict obesity. Meanwhile, three types of common factors (i.e. older age, being female and Malay ethnic) and one type of biomarker (i.e. high glucose level) were found to be significantly associated with obesity.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21482/13884Test; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21482Test
DOI: 10.11591/ijeecs.v19.i1.pp428-434
الإتاحة: https://doi.org/10.11591/ijeecs.v19.i1.pp428-434Test
https://doi.org/10.11591/ijeecs.v19.i1Test
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21482Test
حقوق: Copyright (c) 2019 Institute of Advanced Engineering and Science ; http://creativecommons.org/licenses/by-nc/4.0Test
رقم الانضمام: edsbas.6DE87EBC
قاعدة البيانات: BASE