Abstract
Background: A new simplified method for the detention of metabolic syndrome (MetS) is proposed using two variables (anthropometric and minimally invasive). Methods: A study of MetS prevalence was made on a sample of 361 older people. The anthropometric variables analyzed were: blood pressure, body mass index, waist circumference (WC), waist–height ratio, body fat percentage, and waist–hip ratio. A crude and adjusted binary logistic regression was performed, and receiver operating characteristic curves were obtained for determining the predictive capacity of those variables. For the new detection method, decision trees were employed using automatic detection by interaction through Chi-square. Results: The prevalence of the MetS was of 43.7%. The final decision trees uses WC and basal glucose (BG), whose cutoff values were: for men, WC ≥ 102.5 cm and BG > 98 mg/dL (sensitivity = 67.1%, specificity = 90.3%, positive predictive value = 85%, validity index = 79.9%); and for women, WC ≥ 92.5 cm and BG ≥ 97 mg/dL (sensitivity = 65.9%, specificity = 92.7%, positive predictive value = 87.1%, validity index = 81.3%). In older women the best predictive value of MetS was a WC of 92.5 cm. Conclusions: It is possible to make a simplified diagnosis of MetS in older people using the WC and basal capillary glucose, with a high diagnostic accuracy and whose use could be recommended in the resource-poor health areas. A new cutting point in older women for the WC should be valued.
Highlights
The metabolic syndrome (MetS) is defined as being a group of risk factors characterized by central obesity, blood pressure, hyperglycemia, and alterations in the lipid metabolism, i.e., hypertriglyceridemia and a diminution in high-density cholesterol (c-HDL) [1]
It is possible to make a simplified diagnosis of MetS in older people using the waist circumference (WC) and basal capillary glucose, with a high diagnostic accuracy and whose use could be recommended in the resource-poor health areas
None of the personal or lifestyle variables gave statistically significant results, except for fruit and vegetable consumption, which was revealed as being a protective factor (OR = 0.44, CI 95% 0.27–0.72, p < 0.01); being polymedicated behaved as a risk factor (OR = 2.33, CI 95% 1.43–3.78, p < 0.01)
Summary
The metabolic syndrome (MetS) is defined as being a group of risk factors characterized by central obesity, blood pressure, hyperglycemia, and alterations in the lipid metabolism, i.e., hypertriglyceridemia and a diminution in high-density cholesterol (c-HDL) [1]. According to the Spanish ENRICA study [5], the MetS prevalence in the elderly was 42.3%. This percentage is higher than other age groups, with 11.2% and 30.5% in those between 18 to years and to years, respectively. For those reasons, the population made up of subjects of years and over is probably one of the highest clinical interest for the development and application of non-invasive or minimally. A new simplified method for the detention of metabolic syndrome (MetS) is proposed using two variables (anthropometric and minimally invasive). Methods: A study of MetS prevalence was made on a sample of 361 older people.
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