Performance of adiposity indicators in predicting metabolic syndrome in older adults

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 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.

Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study

“…Similarly, in a systematic literature review in 2016, Corrêa et al ( 61 ) also shows that WHtR has better performance than WC and BMI in evaluating MetS. Alves et al's ( 62 ) study shows that LAP, WC, and WHtR indicators identify MetS in older women and can be used to assess and monitor MetS individually or collectively.…”

Diagnostic Accuracy of Waist-to-Height Ratio, Waist Circumference, and Body Mass Index in Identifying Metabolic Syndrome and Its Components in Older Adults: A Systematic Review and Meta-Analysis

“…The study characteristics and outcome definitions of 17 included studies with a total of 74,520 participants are shown in Table 1 [ [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] , [41] , [42] ]. All studies were published from 2014 to 2021.…”

“…All studies were published from 2014 to 2021. Four studies were conducted in Brazil [ 26 , 35 , 37 , 39 ], 5 in China [ 28 , 30 , 33 , 34 , 42 ], 1 in Colombia [ 40 ], 2 in Iran [ 27 , 36 ], 2 in Japan [ 31 , 32 ], 1 in Singapore [ 41 ], 1 in Spain [ 29 ], and 1 in Thailand [ 38 ]. Sample sizes ranged from 159 to 24,215 participants.…”

“…Nine studies provided the optimal cutoffs of WHtR in predicting MetS [ [26] , [27] , [28] , [29] , 31 , 36 , 37 , 39 , 40 ]. The pooled results were outlined as follows ( Table 2 ): AUSROC was 0.78 (95% CI: 0.78, 0.79), dOR was 7.65 (95% CI: 6.00, 9.75), sensitivity was 0.78 (95% CI: 0.69, 0.85), and specificity was 0.69 (95% CI: 0.58, 0.77).…”

“…Quality assessment of the included studies was conducted using QUADAS-2, and the results were shown in Table 3 . In terms of risk of bias, 14 studies (82.4%) [ [26] , [27] , [28] , [29] , [30] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] ] had no or only one domain judged as high risk. In terms of applicability concerns, only 2 studies (11.8%) [ 39 , 41 ] had one domain judged as high risk, while the other 15 studies (88.3%) [ [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , 40 , 41 ] were judged as low risk in all domains.…”