Dra. Troncoso-Pantoja, Claudia

Objective: The aim of this study was to identify which anthropometric measurement (body mass index [BMI], waist circumference [WC], or waist-to-height ratio [WHtR]) is a better predictor of type 2 diabetes and hypertension in the Chilean population. Methods: The study included 13 044 participants (59.7% women) from the Chilean National Health Surveys conducted in 2003, 2009-2010, and 2016-2017. BMI, WC, and WHtR were the anthropometric measurements evaluated. Hypertension was defined as systolic blood pressure ≥140 mm Hg and diastolic blood pressure -90 mm Hg or on medication for hypertension. Diabetes was defined as fasting glucose -7 mmol/L or on medication for diabetes. The receiver operating characteristics (ROC) curve and the area under curve (AUC) were computed to derive the specificity and sensitivity using a bootstrapping approach. Results: Compared with BMI and WC, WHtR was the anthropometric measurement with the highest AUC curve in both sexes for hypertension (AUC for women: 0.70; 95% confidence interval [CI], 0.67-0.73; AUC for men: 0.71; 95% CI, 0.69-0.74) and diabetes (AUC for women: 0.71; 95% CI, 0.66-0.77; AUC for men: 0.71; 95% CI, 0.67-0.76). The sex-specific cutoff points of WHtR to predict hypertension were 0.59 and 0.55 for women and men, respectively. Those used to predict diabetes were 0.60 and 0.58 for women and men, respectively. Conclusion: WHtR was a better predictor of hypertension and diabetes than BMI and WC in Chile. The definition of cutoff points specific for the Chilean population could be implemented in future screening programs aiming to identify high-risk individuals.

Research on morbidity and mortality often emphasizes individual diseases over the cumulative effects of multimorbidity, especially in low- and middle-income countries. This study aimed to analyze the association between multimorbidity and all-cause mortality in a representative sample of the Chilean population. This longitudinal study used data from 3701 subjects aged ≥15 years who participated in the Chilean National Health Survey conducted between 2009 and 2010. We included 16 self-reported highly prevalent morbidities. All-cause mortality data from an 11-year follow-up were collected from the Chilean Civil Registry. The Cox proportional hazard model, adjusted for confounders, determined the association between multimorbidity categories and all-cause mortality. Of the total sample, 24.3% reported no morbidity, while 50.4% two or more. After adjustment, participants with four or more morbidities had a 1.66 times higher mortality risk [95% confidence interval (CI): 1.03–2.67] than those without morbidities. The mortality risk increased by 10% for each additional morbidity [HR: 1.09 (CI: 1.04–1.16)]. Multimorbidity was common in the Chilean population and increased the mortality risk, which greatly challenges the health system to provide an integral and coordinated approach to healthcare.