Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals

Morais, Keila Bacelar Duarte de; Martinho, Karina Oliveira; Franco, Fernanda Silva; Pessoa, Milene Cristine; Ribeiro, Andréia Queiróz

doi:10.1590/1678-98652018000200006

Cited by 2 publications

(3 citation statements)

References 24 publications

(48 reference statements)

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“…( 9) and Morais and cols. (3). Even though the C index performs well in the assessment of cardiovascular risk, the same is not true in terms of the prediction of risk of metabolic abnormalities (37).…”

Section: Discussionmentioning

confidence: 99%

“…In Brazil, as in other countries, representative data on the prevalence of MetS is scarce, ranging from 10.7% to 40.5% in different populations (2), with this prevalence tending to increase with advancing age. For early identification of metabolic disorders, studies suggest the use of body measurements to assess abdominal adiposity since the increase in these parameters is associated with metabolic and cardiovascular abnormalities (3)(4)(5).…”

Section: Introductionmentioning

confidence: 99%

“…In addition to assessing classic adiposity indicators, such as body mass index (BMI) and waist circumference (WC), studies have also assessed other indicators to predict MetS in older adults, including the lipid accumulation product (LAP), visceral adiposity index (VAI), waist-to-height ratio (WHtR), a body shape index (ABSI), and conicity index (C index) (3)(4)(5)(6)(7). However, these indicators are rarely discussed in the literature, especially in older populations.…”

Section: Introductionmentioning

confidence: 99%

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Performance of adiposity indicators in predicting metabolic syndrome in older adults

Alves

Cruz

Souza

et al. 2021

Archives of Endocrinology and Metabolism

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Objective: To evaluate the association between some indicators of adiposity and markers of metabolic disorder, evaluate their performance in predicting metabolic syndrome (MetS), and identify their cutoff values among older adults, both in the overall sample and according to sex. Subjects and methods: Cross-sectional study in 159 older men and women. MetS was defined according to the harmonized criteria. The assessments included waist circumference (WC), waist-to-height ratio (WHtR), conicity index (C index), lipid accumulation product (LAP), visceral adiposity index (VAI), body mass index (BMI), A body shape index (ABSI), area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. Results: LAP and WHtR resulted in the largest AUC values (>0.80). In both sexes, the best indicators were LAP, WC, and WHtR. Both LAP and WHtR presented the highest Youden's index values in the overall sample, with cutoff values of approximately 46.9 (sensitivity 75.0%, specificity 76.7%) and 0.56 (sensitivity 79.3%, specificity 69.8%), respectively. When analyzed by sex, BMI, WC, WHtR, and LAP yielded the highest Youden's index values for the prediction of MetS in older women. Conclusion: The indicators LAP, WC, and WHtR performed well in identifying the presence of MetS in older women and could be used to individually or collectively assess and monitor MetS.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%