Ultra-Processed Food Consumption About Body Mass Index (BMI) of Public University Students in Malaysia

Q4 Agricultural and Biological Sciences
Girijah Ganesrau, Asma' Ali, H. Mohamed, A. A. Zainuddin, H. Yusof, Sim Why Jean
{"title":"Ultra-Processed Food Consumption About Body Mass Index (BMI) of Public University Students in Malaysia","authors":"Girijah Ganesrau, Asma' Ali, H. Mohamed, A. A. Zainuddin, H. Yusof, Sim Why Jean","doi":"10.55230/mabjournal.v52i2.2663","DOIUrl":null,"url":null,"abstract":"The Malaysian Nutrition Research Priorities for the 12th Plan (2021-2025) has identified a critical need for research on the consumption of ultra-processed foods among public university students in Malaysia. Despite this need, there is a lack of empirical research on the relationship between ultra-processed food intake and body mass index (BMI) in this population. To address this gap, this study aimed to investigate the relationship between the consumption of ultra-processed foods and BMI in public university students in Malaysia. A cross-sectional study design was employed, involving 250 respondents aged 18 years and above. Data was collected through a self-administered questionnaire, which consisted of three parts: a socio-demographic profile, anthropometric measurement, and a 24-hr dietary record. Food and beverage consumption was classified using the NOVA food categorization system (composed of Group 1: Unprocessed or minimally processed foods, Group 2: Processed culinary ingredients, Group 3: Processed foods, and Group 4: Ultra-processed foods), and energy intake was calculated using the Nutritionist Pro software and food guidance books. Statistical analysis was performed using SPSS version 20.0. The results showed that the average daily caloric intake was 1821.74 ± 439.03 kcal, with 31% of the total intake being contributed by ultra-processed foods (Group 4). The average energy intake from Group 1 and 2 was 1225.95 ± 414.90 kcal, Group 3 was 33.52 ± 73.83 kcal and Group 4 was 562.27 ± 344.71 kcal. The average BMI was 23.10 (7.38) kg/m2, which falls within the normal category. The analysis revealed a significant positive correlation between ultra-processed food consumption and BMI (rs=0.16, n=250, p=0.014). This study provides valuable insights into ultra-processed food consumption patterns among Malaysian university students using the NOVA classification system and highlights the importance of reducing such consumption to prevent nutritionally related diseases among public university students in the country.","PeriodicalId":18160,"journal":{"name":"Malaysian applied biology","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian applied biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55230/mabjournal.v52i2.2663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

The Malaysian Nutrition Research Priorities for the 12th Plan (2021-2025) has identified a critical need for research on the consumption of ultra-processed foods among public university students in Malaysia. Despite this need, there is a lack of empirical research on the relationship between ultra-processed food intake and body mass index (BMI) in this population. To address this gap, this study aimed to investigate the relationship between the consumption of ultra-processed foods and BMI in public university students in Malaysia. A cross-sectional study design was employed, involving 250 respondents aged 18 years and above. Data was collected through a self-administered questionnaire, which consisted of three parts: a socio-demographic profile, anthropometric measurement, and a 24-hr dietary record. Food and beverage consumption was classified using the NOVA food categorization system (composed of Group 1: Unprocessed or minimally processed foods, Group 2: Processed culinary ingredients, Group 3: Processed foods, and Group 4: Ultra-processed foods), and energy intake was calculated using the Nutritionist Pro software and food guidance books. Statistical analysis was performed using SPSS version 20.0. The results showed that the average daily caloric intake was 1821.74 ± 439.03 kcal, with 31% of the total intake being contributed by ultra-processed foods (Group 4). The average energy intake from Group 1 and 2 was 1225.95 ± 414.90 kcal, Group 3 was 33.52 ± 73.83 kcal and Group 4 was 562.27 ± 344.71 kcal. The average BMI was 23.10 (7.38) kg/m2, which falls within the normal category. The analysis revealed a significant positive correlation between ultra-processed food consumption and BMI (rs=0.16, n=250, p=0.014). This study provides valuable insights into ultra-processed food consumption patterns among Malaysian university students using the NOVA classification system and highlights the importance of reducing such consumption to prevent nutritionally related diseases among public university students in the country.
超加工食品消费对马来西亚公立大学学生身体质量指数(BMI)的影响
马来西亚第十二个营养研究优先计划(2021-2025)确定了对马来西亚公立大学学生超加工食品消费进行研究的迫切需要。尽管有这种需求,但在这一人群中,超加工食品摄入量与体重指数(BMI)之间的关系缺乏实证研究。为了解决这一差距,本研究旨在调查马来西亚公立大学学生超加工食品消费与BMI之间的关系。采用横断面研究设计,涉及250名18岁及以上的受访者。数据是通过一份自我管理的问卷收集的,该问卷由三部分组成:社会人口统计资料、人体测量数据和24小时饮食记录。使用NOVA食品分类系统对食品和饮料消费进行分类(由第1组:未加工或最低加工食品,第2组:加工烹饪配料,第3组:加工食品,第4组:超加工食品组成),使用Nutritionist Pro软件和食品指南书籍计算能量摄入。采用SPSS 20.0版本进行统计学分析。结果表明,研究对象平均每日热量摄入为1821.74±439.03 kcal,其中超加工食品占总摄入量的31%(第4组),第1组和第2组的平均能量摄入为1225.95±414.90 kcal,第3组为33.52±73.83 kcal,第4组为562.27±344.71 kcal,平均BMI为23.10 (7.38)kg/m2,属于正常范围。分析显示,超加工食品消费与BMI呈显著正相关(rs=0.16, n=250, p=0.014)。这项研究使用NOVA分类系统对马来西亚大学生的超加工食品消费模式提供了有价值的见解,并强调了减少这种消费对预防该国公立大学生营养相关疾病的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Malaysian applied biology
Malaysian applied biology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
0.60
自引率
0.00%
发文量
69
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信