Performance of neck circumference to predict obesity and metabolic syndrome among adult Saudis: a cross-sectional study

Abstract Background We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. Methods This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Results Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. Conclusions In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.

Download Full-text

Neck circumference as a predictor of metabolic syndrome: A cross-sectional study

Primary Care Diabetes ◽

10.1016/j.pcd.2019.08.007 ◽

2020 ◽

Vol 14 (3) ◽

pp. 265-273 ◽

Cited By ~ 1

Author(s):

Issarayus Laohabut ◽

Kamol Udol ◽

Pochamana Phisalprapa ◽

Weerachai Srivanichakorn ◽

Thanet Chaisathaphol ◽

...

Keyword(s):

Metabolic Syndrome ◽

Cross Sectional Study ◽

Neck Circumference ◽

Sectional Study ◽

Cross Sectional

Download Full-text

Correlation of Neck Circumference With Abdominal Circumference and Body Mass Index in Patients With Metabolic Syndrome in a Hospital From Northern Peru: A Cross-sectional Study

10.21203/rs.3.rs-980122/v2 ◽

2021 ◽

Author(s):

Virgilio E Failoc-Rojas ◽

Eduardo Díaz-Guevara ◽

Diego Chambergo-Michilot ◽

Sandra Zeña-Ñañez ◽

Karoline Sánchez-Sánchez ◽

...

Keyword(s):

Metabolic Syndrome ◽

Body Mass Index ◽

Body Mass ◽

Cross Sectional Study ◽

Neck Circumference ◽

Abdominal Circumference ◽

Homogeneous Distribution ◽

Sectional Study ◽

Cross Sectional ◽

Anthropometric Parameter

Abstract We aimed to evaluate the correlation of neck circumference with abdominal circumference and body mass index in patients with metabolic syndrome in Chocope, Trujillo. This cross-sectional study included patients with untreated metabolic syndrome. Health professionals measured the anthropometric parameters of participants as per the international guidelines. Pearson’s correlation coefficients and single and multiple regression models were used for analysis. Data from 250 participants showed homogeneous distribution with respect to age, comorbidities, and biochemical properties according to sex. The mean age was 53.6 years. A positive correlation of neck circumference with abdominal circumference (r = 0.6 and 0.74 for females and males, respectively) and body mass index (r = 0.51 and 0.65 for females and males, respectively) was observed. The linear correlation model showed that a 1-cm increase in neck circumference increased the abdominal circumference by 2.20 cm (p < 0.001) and 2.27 cm (p < 0.001) and body mass index by 0.72 kg/m2 (p < 0.001) and 0.94 kg/m2 (p < 0.001) in males and females, respectively, independent of other variables. In participants with metabolic syndrome in this study, neck circumference showed a strong correlation with abdominal circumference and body mass index. This anthropometric parameter can be extremely useful for evaluating obesity among patients with metabolic syndrome.

Download Full-text