Performance of adiposity indicators in predicting metabolic syndrome in older adults
Arch. endocrinol. metab. (Online)
;
65(5): 588-595, 2021. tab
Artículo
en Inglés
| LILACS
| ID: biblio-1345202
ABSTRACT
ABSTRACT 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 andmethods:
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.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Síndrome Metabólico
Tipo de estudio:
Estudio observacional
/
Estudio de prevalencia
/
Estudio pronóstico
/
Factores de riesgo
Límite:
Anciano
/
Femenino
/
Humanos
/
Masculino
Idioma:
Inglés
Revista:
Arch. endocrinol. metab. (Online)
Asunto de la revista:
Endocrinologia
/
Metabolismo
Año:
2021
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Universidade Federal de Sergipe/BR
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