Prevalence of Overweight/Obesity and Risk of Developing Diabetes Among Medical Students, National University of Villa María (UNVM)
Obesity and diabetes (DBT) are diseases with a pandemic projection, due to various pathophysiological, clinical, social, and economic factors, presenting a close relationship with cardiovascular disease, increasing morbidity and mortality. Prevention measures are multiple and should be addresse...
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Artículo revista |
| Lenguaje: | Español |
| Publicado: |
Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2023
|
| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/42718 |
| Aporte de: |
| Sumario: | Obesity and diabetes (DBT) are diseases with a pandemic projection, due to various pathophysiological, clinical, social, and economic factors, presenting a close relationship with cardiovascular disease, increasing morbidity and mortality. Prevention measures are multiple and should be addressed jointly. Normalizing weight and reducing body fat play a central role in the pathogenesis and constitute a fundamental strategy in treatment. Nutritional therapy, regular physical activity, and metabolic screening can generate cost-effective guidelines with a population impact.
The aim of this study was to determine the overall prevalence of overweight/obesity and the risk of developing DBT in medical students at UNVM, cohort 2021-2022. 135 students were surveyed voluntarily and anonymously, with prior informed consent, who did not have DBT or other diseases. The Findrisc Score was used to determine the future risk of DBT. Height, weight, body mass index (BMI), waist circumference (WC), and percentage of body fat (PBF, CUN BAE formula) were recorded. Categories for each gender included DBT risk (very low to very high) and weight (normal, overweight, and obesity). Statistical analyses included Pearson's covariance, ANOVA, prevalence, and R2 (p<0.05).
Of the 135 students surveyed, the average age was 20 years ± 2.6. In the female group (n=76), 5% had a moderate to high risk of developing DBT in the next 10 years. Anthropometric data in this group were as follows: BMI: 23 kg/m2 ± 4.4; WC: 72 cm ± 9.4; PBF: 29% ± 7.1. In the male group (n=59), 10% had a moderate to high risk of DBT at 10 years. Anthropometric data in this group were: BMI: 26 kg/m2 ± 2.8; WC: 77 cm ± 21; PBF: 28% ± 8.6. Significant correlations were found between anthropometric variables, with correlation values (r) ranging from 0.54 to 0.97 in women and from 0.52 to 0.74 in men, all with a p-value of <0.05.
The risk of developing diabetes in the next 10 years was particularly high in students with overweight or obesity. PBF proved to be a sensitive variable for identifying deviations in body weight. A strong association was observed between anthropometric variables, highlighting the importance of addressing them preventively.
|
|---|