The objective of this study was to investigate the relationship between high in fat, sugar or salt consumption, obesity and non-communicable diseases (NCDs) in the population in Thailand, and other associated factors. This study used data from participants age 15 years or older from the 2021 Health Behaviour of Population Survey. The final analytical sample included 74 894 respondents with complete data. Binary logistic regression analysis was used to investigate the relationship between socio-demographic characteristics, unhealthy food, NCDs and obesity. People with obesity had the significant ORs for sugar-sweetened beverages or SSB (OR 1.208; 95% CI 1.159 to 1.259), high-fat foods (OR 1.162; 95% CI 1.120 to 1.207) and snacks (OR 1.048; 95% CI 1.004 to 1.093), but had the significant protective ORs for meat products (OR 0.964; 95% CI 0.930 to 0.999), instant food (OR 0.903; 95% CI 0.865 to 0.942) and fast food (OR 0.871; 95% CI 0.831 to 0.913). People with any NCDs had the significant protective ORs for meat products (p≤0.001), instant food (p≤0.05) and fast food (p≤0.01). People with diabetes tended not to drink SSB while people with heart disease tended not to consume SSB and snacks. The findings suggest a need for prevention and control strategies such as promoting healthy snacking behaviour, modifying food environments and paying specific attention to the population most at risk of obesity and NCDs. No data are available.

中文翻译：

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高脂肪、高糖或高钠（HFSS）食物的摄入与肥胖和非传染性疾病之间的关系


本研究的目的是调查泰国人口中高脂肪、糖或盐的摄入量、肥胖与非传染性疾病 (NCD) 以及其他相关因素之间的关系。本研究使用 2021 年人口健康行为调查中 15 岁或以上参与者的数据。最终分析样本包括 74 894 名具有完整数据的受访者。采用二元逻辑回归分析来研究社会人口特征、不健康食品、非传染性疾病和肥胖之间的关系。肥胖人群对含糖饮料或 SSB（OR 1.208；95% CI 1.159 至 1.259）、高脂肪食品（OR 1.162；95% CI 1.120 至 1.207）和零食（OR 1.048；95% CI 1.004 至 1.093），但对肉制品（OR 0.964；95% CI 0.930 至 0.999）、方便食品（OR 0.903；95% CI 0.865 至 0.942）和快餐（OR 0.871；95% CI 0.831）具有显着的保护作用。至 0.913）。患有任何非传染性疾病的人对肉制品 (p≤0.001)、方便食品 (p≤0.05) 和快餐 (p≤0.01) 具有显着的保护性 OR。患有糖尿病的人倾向于不喝SSB，而患有心脏病的人则倾向于不消费SSB和零食。研究结果表明，需要采取预防和控制策略，例如促进健康的零食行为、改变食物环境以及特别关注最容易患肥胖症和非传染性疾病的人群。无可用数据。