Wrist Circumference Cutoff Points for Determining Excess Weight Levels and Predicting Cardiometabolic Risk in Adults

Larissa Monteiro Costa Pereira, Márcia Ferreira Cândido de Souza, Felipe J. Aidar (), Márcio Getirana-Mota, Alex Menezes dos Santos-Junior, Mario Francisco Dantas de Santana Filho, Marcos Antonio Almeida-Santos, Raysa Manuelle Santos Rocha, Rebeca Rocha de Almeida, Leonardo Baumworcel, Luiz Henrique Sala de Melo Costa, Renata Rebello Mendes and Antônio Carlos Sobral Sousa
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Larissa Monteiro Costa Pereira: Graduate Program in Health Sciences, Federal University of Sergipe (UFS), Aracaju 49100-676, Brazil
Márcia Ferreira Cândido de Souza: Graduate Program in Nutritional Sciences, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil
Felipe J. Aidar: Graduate Program in Physiological Sciences, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil
Márcio Getirana-Mota: Graduate Program in Physiological Sciences, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil
Alex Menezes dos Santos-Junior: Graduate Program in Nutritional Sciences, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil
Mario Francisco Dantas de Santana Filho: Graduate Program in Nutritional Sciences, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil
Marcos Antonio Almeida-Santos: Graduate Program in Health and Environment, Tiradentes University-UNIT, Aracaju 49032-490, Brazil
Raysa Manuelle Santos Rocha: Graduate Program in Health Sciences, Federal University of Sergipe (UFS), Aracaju 49100-676, Brazil
Rebeca Rocha de Almeida: Graduate Program in Health Sciences, Federal University of Sergipe (UFS), Aracaju 49100-676, Brazil
Leonardo Baumworcel: Division of Cardiology, University Hospital of Federal University of Sergipe (UFS), Aracaju 49100-000, Brazil
Luiz Henrique Sala de Melo Costa: Clinic and Hospital São Lucas/Rede D’Or São Luiz, Aracaju 49060-676, Brazil
Renata Rebello Mendes: Department of Nutrition, Federal University of Sergipe (UFS), São Cristóvão 49100-000, Brazil
Antônio Carlos Sobral Sousa: Graduate Program in Health Sciences, Federal University of Sergipe (UFS), Aracaju 49100-676, Brazil

IJERPH, 2024, vol. 21, issue 5, 1-14

Abstract: (1) Background: An elevated wrist circumference may indicate excess weight and cardiometabolic risk. The present study aims to identify wrist circumference cutoff points (WrC) to determine excess weight levels and predict cardiometabolic risk in adults. (2) Methods: A cross-sectional study was conducted with adults aged 20 to 59 years old, attending the outpatient clinic at University Hospital/Federal University of Sergipe HU/UFS-EBSERH. Demographic, anthropometric, biochemical, and blood pressure (BP) data were collected. Cardiometabolic risk was assessed, according to the global risk score (ERG) and Framingham score criteria. The descriptive analysis included calculating medians and frequencies of anthropometric, demographic, biochemical, and blood pressure variables. The gender and age of adult groups were compared using the Mann–Whitney test. Spearman’s correlation coefficient and multiple regression analysis were used to assess the association between wrist circumference (WrC) and the variables mentioned above. The predictive validity of WrC in identifying excess weight levels and cardiometabolic risk was analyzed using the ROC curve. The sample consisted of 1487 adults aged 20 to 59 years, 55.7% of whom were female; (3) Results: WrC correlated positively with other adiposity indicators such as waist circumference and Body Mass Index. WrC was the anthropometric indicator most significantly associated with cardiometabolic risk factors. WrC cutoff points identified by the study for determining excess weight were categorized by gender and age group. For males aged 20 to 40 years and >40 years, respectively, the cutoff points for overweight were 17.1 cm and 17.3 cm, and for obesity, 17.9 cm and 17.5 cm. For females aged 20 to 40 years and >40 years, respectively, the cutoff points for overweight were 15.6 cm and 15.4 cm, and for obesity, 16.1 cm and 16 cm (4). Conclusions: Wrist circumference showed a significant correlation with other adiposity indicators and can be used to identify adults with excess weight and predict cardiometabolic risk.

Keywords: adults; with; excess; weight; and; predicted; cardiometabolic; risk (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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