Abstract

To estimate the prevalence of the metabolic syndrome and clusters of its components and to identify possible associated factors in older adults. Cross-sectional and population-based study, involving 271 older people. We collected sociodemographic, behavioral, clinical, biochemical, and anthropometric data. Data were analyzed by descriptive and logistic regression techniques. The prevalence of metabolic syndrome was 59% and was associated with women, overweight/obesity, and the C-reactive protein. Concerning the clusters, 11.4% of the sample had all the components of the metabolic syndrome, and only 5.2% of individuals did not have any of its components. We found there is a high prevalence of metabolic syndrome and clusters of its components in older adults. It is important to deepen studies on this matter, considering clinical aspects in relation to sex and healthy behavioral habits for creating public policies as well as emphasizing actions aimed at promoting self-care in all cycles of life.

Highlights

  • In the last three decades, the metabolic syndrome (MS) has outstood as an important public health issue[1]

  • In a recent systematic review[10], Moore, Chaudhary, and Akinyemiju questioned if MS is a construct suitable for older adults, based on previous research according to which the global prognostic value of MS in older people does not mean that such is superior to individual risk factors separately considered

  • MS was associated with women (OR: 2.45; 95% confidence intervals (95% CI): 1.46–4.13), current smoking (OR: 0.40; 95% CI: 0.18–0.91), overweight/ obesity (OR: 5.07; 95% CI: 2.99–8.59), high CRP levels (OR: 3.20; 95% CI: 1.90–5.42), and hyperuricemia (OR: 2.21; 95% CI: 1.15–4.22) (Table 1)

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Summary

INTRODUCTION

In the last three decades, the metabolic syndrome (MS) has outstood as an important public health issue[1]. In addition to its importance as an epidemiological event, authors of a study[12] held in Tel Aviv, Israel, point to the probable misdiagnosis of MS as a result of lack of knowledge and familiarity of health professionals to identify and classify people with the syndrome This is an important issue to be highlighted, since failures in the handling of MS symptoms can cause worse prognosis, doubling the chances of developing cardiovascular events[1] and increasing the risk of mortality due to all causes and cardiovascular diseases in about 23% and 24%, respectively, when compared with the risk of those who did not meet the criteria for MS[3]. Even if it is widely known that the prevalence of MS increases with age, regardless of its definition[15], studies on the risk factors associated with MS directed to the older population are still incipient, justifying the performance of our study

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