Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity

Abstract Background and aims: the usefulness of the weight-adjusted waist index (WWI) among persons with metabolic syndrome (MS) has not been previously evaluated. The objective of this study was to evaluate the ability of WWI to predict MS in a Caucasian population with obesity. Methods: we conducted a cross sectional study in 2162 Caucasian patients with obesity. Anthropometric data (weight, height, body mass index [BMI], waist circumference, [WWI]), bioimpedanciometer parameters (total fat mass [FM], skeletal muscle mass [SMM] and skeletal muscle mass index [SMMi]), blood pressure, presence of MS and biochemical parameters were recorded and compared by tertiles of WWI. Results: a total of 1,176 subjects had MS (54.4 %) and 986 did not show MS (45.6 %). Compared with the lowest WWI category Q1 (< 11.24 cm/ &#8730;kg), the prevalence of MS increased in the logistic regression model adjusted by sex and age in the Q3 group (OR = 2.53, 95 % CI = 1.71-3.23; p = 0.001). In addition, the prevalence of MS was higher in the Q3 group than in Q2 (OR = 1.65, 95 % CI = 1.25-2.17; p = 0.005). Finally, the prevalence of MS in Q2 was higher than in the Q1 group (OR = 1.21, 95 % CI = 1.06-3.11; p = 0.01). The area under the curve (AUC) to assess the ability of WWI to identify MS showed values of 0.811 (0.687-0.871; p = 0.001). The cut-off point according to the Youden index was 11.59, with sensitivity and specificity of 70 % and 93.4 %, respectively. Conclusion: we described a good accuracy of WWI to identify MS an independent association between WWI in Caucasian patients with obesity.

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Scientific Electronic library online (Sciences Carlos III Health Institute)
Published
2024-12-01
Primary Topic
Magnetic confinement fusion research
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article

Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity

Scientific Electronic library online (Sciences Carlos III Health Institute)
Magnetic confinement fusion research
article

Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity

article en

Abstract

Abstract Background and aims: the usefulness of the weight-adjusted waist index (WWI) among persons with metabolic syndrome (MS) has not been previously evaluated. The objective of this study was to evaluate the ability of WWI to predict MS in a Caucasian population with obesity. Methods: we conducted a cross sectional study in 2162 Caucasian patients with obesity. Anthropometric data (weight, height, body mass index [BMI], waist circumference, [WWI]), bioimpedanciometer parameters (total fat mass [FM], skeletal muscle mass [SMM] and skeletal muscle mass index [SMMi]), blood pressure, presence of MS and biochemical parameters were recorded and compared by tertiles of WWI. Results: a total of 1,176 subjects had MS (54.4 %) and 986 did not show MS (45.6 %). Compared with the lowest WWI category Q1 (< 11.24 cm/ &#8730;kg), the prevalence of MS increased in the logistic regression model adjusted by sex and age in the Q3 group (OR = 2.53, 95 % CI = 1.71-3.23; p = 0.001). In addition, the prevalence of MS was higher in the Q3 group than in Q2 (OR = 1.65, 95 % CI = 1.25-2.17; p = 0.005). Finally, the prevalence of MS in Q2 was higher than in the Q1 group (OR = 1.21, 95 % CI = 1.06-3.11; p = 0.01). The area under the curve (AUC) to assess the ability of WWI to identify MS showed values of 0.811 (0.687-0.871; p = 0.001). The cut-off point according to the Youden index was 11.59, with sensitivity and specificity of 70 % and 93.4 %, respectively. Conclusion: we described a good accuracy of WWI to identify MS an independent association between WWI in Caucasian patients with obesity.

Scientific Electronic library online (Sciences Carlos III Health Institute)
Universidad de Valladolid (ES)
Good health and well-being
Openalex Percentile: Top 32%
Magnetic confinement fusion research
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Weight-adjusted waist index predicts metabolic syndrome in Caucasian patients with obesity · Scientific Electronic library online (Sciences Carlos III Health Institute) (2024) | TGRS Research Map | TGRS