Type 2 Diabetes Mellitus in Class II and III Obesity: Prevalence, Associated Factors, and Correlation between Glycemic Parameters and Body Mass Index
| Autor: | Lorena Pereira de Souza Rosa, Annelisa Silva e Alves de Carvalho Santos, Matias Noll, Erika Aparecida Silveira, Camila Kellen de Souza Cardoso |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Blood Glucose
Male medicine.medical_specialty Health Toxicology and Mutagenesis medicine.medical_treatment severe obesity lcsh:Medicine 030209 endocrinology & metabolism Article HOMA-IR Body Mass Index 03 medical and health sciences symbols.namesake 0302 clinical medicine Insulin resistance Internal medicine Diabetes mellitus insulin resistance medicine Prevalence Humans Insulin 030212 general & internal medicine Poisson regression Obesity Glycemic diabetes business.industry lcsh:R Public Health Environmental and Occupational Health Type 2 Diabetes Mellitus nutritional and metabolic diseases South America medicine.disease whole grains Diabetes Mellitus Type 2 food consumption symbols Female business Body mass index |
| Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 17, Iss 3930, p 3930 (2020) Volume 17 Issue 11 |
| ISSN: | 1660-4601 1661-7827 |
| Popis: | Despite the worldwide growth of class II and III obesity, the factors associated with type 2 diabetes mellitus (T2DM) in these obese individuals are not widely understood. Moreover, no study has investigated these associations in South America. Our study aimed to investigate the prevalence of T2DM and its associated factors, with an emphasis on biochemical parameters and eating habits, in class II and III obese individuals. We also aimed to analyze the correlation between glycemic parameters and body mass index (BMI). Baseline data from a randomized clinical trial (DieTBra Trial) of 150 class II and III obese individuals (BMI > 35 kg/m2) was used. An accelerometer, Food Frequency Questionnaire, and bioimpedance analysis were used to assess physical activity levels, eating habits, and body composition, respectively. Blood was collected after 12 h of fasting. Hierarchical multivariate Poisson regression was performed, and prevalence ratios (PRs) were calculated. Correlations between glycemic parameters (fasting blood glucose, glycosylated hemoglobin, homeostasis model assessment of insulin resistance (HOMA-IR), and insulin) and BMI were also analyzed. The prevalence of T2DM was 40.0% (95% CI, 32.1&ndash 48.3), high fasting blood glucose level was 19.33% (95% CI, 13.3&ndash 26.6), and high glycosylated hemoglobin was 32.67% (95% CI, 25.2&ndash 40.8). Age &ge 50 years (PR = 3.17, 95% CI, 1.26&ndash 7.98) was significantly associated with T2DM there was a positive linear trend between age and T2DM (p = 0.011). Multivariate analysis showed an association with educational level (PR = 1.49, 1.07&ndash 2.09, p = 0.018), nonconsumption of whole grains daily (PR = 1.67, 1.00&ndash 2.80, p = 0.049), and high HOMA-IR (PR = 1.54, 1.08&ndash 2.18, p = 0.016). We found a high prevalence of T2DM and no significant correlations between BMI and glycemic parameters. |
| Databáze: | OpenAIRE |
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