merged

Consumption of Ultra-Processed Foods in Predicting Obesity of Adults in
Kuala Nerus
Nurul Atiqah Binti Khasbullah
Supervisor: Dr Asma’ Binti Ali
Bachelor of Food Science (Food Service and Nutrition)
School of Food Science and Technology
The Ministry of Health had purposed in the Nutrition Reference Priorities (NRP 2016-
2020) the needs to study on ultra-processed foods and its contribution to noncommunicable
disease development. Therefore, the objectives of this study is to classify
the dietary intake based on the NOVA ultra-processed food classification using dietary
record, determine the contribution of energy from each group of the ultra-processed food
classification and determine the relationship between the consumption of ultra-processed
food and nutritional status and (BMI and body fat percentage). A cross-sectional study
will be perform among 300 respondents aged 18 to 59 years old in Kuala Nerus. They
need to fill in the questionnaires on socio-demographic profile, two days 24-h dietary
records for NOVA classification, and assessment of their BMI and body fat percentage. A
linear regression model is used to assess differences in BMI across quantiles of
consumption of ultra-processed foods. Individuals with the highest quartile of ultraprocessed
foods consumption is expected in higher risk of developing obesity.
1204 | UMT UNDERGRADUATE RESEARCH DAY