Background: The purpose of this study to analyze the prevalence of hypertriglyceridemic waist and associated factors in older individuals aged ≥60 years in Colombia.
Methods: The data for this study came from a secondary cross-sectional, nationally representative SABE study Survey on Health, Well-Being, and Aging in Colombia, 2015. A total of 3824 participants (59.7% male, 69 (IR=64-76) years) from 86 Colombian municipalities participated. The data were collected through a questionnaire, blood tests, blood pressure measurements and anthropometric measurements. The hypertriglyceridemic waist phenotype was diagnosed using high triglyceride values (≥ 150 mg / dl) and increased waist circumference ≥ 88 and ≥ 102 cm for women and men, respectively. A logistic regression analysis was used to compare the hypertriglyceridemic waist phenotype and the associated factors, significance level of 5%. STROBE checklist for cross‐sectional studies was applied in this paper (see Supplementary File 1).
Results: The hypertriglyceridemic waist was present in 38.7% of the study population, with a higher prevalence among females than males (44.6% vs. 30.0%). Female gender [odds ratio (OR) 1.9 (95% confidence interval (CI) 1.6-2.2)]; be octogenarian [OR 0.7 (95% CI 0.6-0.9)]; live in an urban area [OR 1.5 (95% CI 1.3-1.8)] and have a lifestyle of former smoker [OR 0.8 (95% CI 0.7-0.9)]. On the other hand, it was observed that having a BMI different from normal is strongly associated with HTGW [Weight: OR 2.0 (95% CI 1.5-2.6), overweight: OR 4.1 (95% CI 3.4 -4.9) and obesity: OR 5.0 (95% CI 4.1-6.1)]. The glycemia, the hemoglobin and the increase in cholesterol also showed positive association with HTGW [OR 0.5 (95% CI 0.5-0.7), OR 2.1 (95% CI 1.8-2.4) and OR 2.1 (95% CI 1.9-2.5), respectively] were associated with increased odds of HTGW.
¬Conclusions: There is a significant prevalence of hypertriglyceridemic waist in Colombia's elderly and sociodemographic factors, lifestyles and biological markers are associated with the hypertriglyceridemic waist phenotype. Elderly men showed greater probabilities in terms of age, schooling, geographic area, body mass inde and cholesterol concentrations. Elderly women revealed higher probabilities in biological markers