Obesity predictive process framework based on dietary patterns from grocery data / Nur'Aina Daud
Globally, obese population prevalence is estimated using Body Mass Index (BMI) data from collected surveys and generally analyzed using simple linear regression method. Even the World Health Organization (WHO) uses this simple BMI index to define overweight and obesity. However, this BMI method of e...
Saved in:
Main Author: | Daud, Nur'Aina |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/53621/1/53621.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Obesity predictive process framework based on dietary patterns from grocery data / Nur’aina Daud
by: Daud, Nur’aina
Published: (2021) -
Dietary Patterns and Obesity Risk Among Adults in Mongolia
by: Dugee, Otgontuya
Published: (2007) -
Dietary patterns and their association with obesity and cardiometabolic risk factors among adolescents in the southern region of Peninsular Malaysia
by: Emi, Nor Aishah
Published: (2019) -
"Whole-school environmental mapping framework" in preventing childhood obesity in Selangor / Nik Muhammad Syafiq Ramli ... [et al.]
by: Ramli, Nik Muhammad Syafiq, et al.
Published: (2014) -
Prevalence of Overweight and Obesity and Relationship with Dietary Habits among Libyan Community in Malaysia
by: Fadia M. Abdelrahman Khaled