Habitual intake of ultra-processed foods and its relationship with blood pressure, anthropometric measures, and health risks among Filipino youth

Abstract

Aim: This study investigated the habitual intake of ultra-processed foods (UPFs) and their association with blood pressure, anthropometric measures, and metabolic health risks among Filipinos aged 16–30 years residing in an urban area. Methods: A cross-sectional analytical study was conducted among 360 Filipinos aged 16–30 years residing in Intramuros, Manila. The study assessed UPF intake, systolic and diastolic blood pressure, and anthropometric measures, including body mass index (BMI), body fat percentage, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), and A Body Shape Index (ABSI). Unadjusted binary logistic regression was used to examine the odds of high UPF intake according to anthropometric and clinical categories. UPF intake status was specified as the dependent variable, with low-moderate intake as the reference category. Results: More than half (52.22%) of the Filipino youth had moderate UPF intake. In the unadjusted logistic regression analyses, adults classified as obese according to BMI had higher odds of high UPF intake than adults with normal BMI [odds ratio (OR)=2.65, 95% confidence interval (CI): 1.13–6.20]. Participants classified as obese according to body fat percentage also had higher odds of high UPF intake than those with normal body fat percentage (OR=2.45, 95% CI: 1.40–4.29), while participants with high ABSI had higher odds of high UPF intake than those with normal ABSI (OR=1.65, 95% CI: 1.05–2.59). No significant associations were observed for blood pressure, adolescent BMI, or WHtR/WHR. Conclusions: High UPF intake was cross-sectionally associated with selected adiposity-related characteristics. Because the logistic regression models were unadjusted and the study was cross-sectional, the findings do not establish the direction, independence, or causality of these relationships.

Keywords

ultra-processed food / anthropometric measures / blood pressure / health risk

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