PD628 - FOOD INSECURITY AND ITS ASSOCIATION WITH METABOLIC PHENOTYPES IN VULNERABLE ADULTS FROM LIMA, PERU

PD628

FOOD INSECURITY AND ITS ASSOCIATION WITH METABOLIC PHENOTYPES IN VULNERABLE ADULTS FROM LIMA, PERU

C. Schnaiderman^1,*, C. Vilchez¹, K. Curi¹

¹Lima, Universidad Nacional Agraria la Molina, Lima, Peru

Rationale: Is there an association between metabolic phenotypes and food insecurity? Determining this relationship will allow for a better understanding of cardiometabolic risk in vulnerable populations, enabling the design of effective prevention strategies.

Methods: A cross-sectional analytical study was conducted with 111 adults aged 19 to 59 years residing in urban-marginal areas of Lima. Food insecurity was assessed using the FIES scale and classified as mild, moderate, or severe. Anthropometric measurements (weight, height, and waist circumference), capillary blood tests (glucose, HDL, and triglycerides), and blood pressure were performed. Nutritional status was classified according to BMI, and metabolic risk according to NCEP-ATP III criteria. Metabolic phenotypes were defined by combining both variables into metabolically healthy and metabolically unhealthy. Associations were assessed using chi-square tests and binary logistic regression to estimate the odds ratio (OR) with a 95% confidence level (p < 0.05). Approval was obtained from the institutional ethics committee.

Results: 66.7% of participants presented the metabolically healthy phenotype, and 50.5% experienced moderate to severe food insecurity. In the group of metabolically unhealthy individuals, 19.8% had food security or mild food insecurity, while 13.5% had moderate to severe food insecurity. No statistically significant association was found between metabolic phenotypes and food insecurity (p = 0.14); however, a lower probability of metabolic disorders was observed in individuals with moderate to severe food insecurity (OR = 0.55).

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Conclusion: The results indicate that metabolic phenotypes are not associated with food insecurity in the studied population. In clinical practice, the importance of comprehensively assessing cardiometabolic risk in vulnerable populations is highlighted.

Disclosure of Interest: None declared