» Articles » PMID: 16741276

Waist Circumference Correlates with Metabolic Syndrome Indicators Better Than Percentage Fat

Overview
Date 2006 Jun 3
PMID 16741276
Citations 104
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Percent fat is often considered the reference for establishing the magnitude of adipose tissue accumulation and the risk of excess adiposity. However, the increasing recognition of a strong link between central adiposity and metabolic disturbances led us to test whether waist circumference (WC) is more highly correlated with metabolic syndrome components than percent fat and other related anthropometric measures such as BMI.

Research Methods And Procedures: BMI, WC, and percent fat, measured by DXA, were evaluated in 1010 healthy white and African-American men and women [age, 48.3 +/- 17.2 (standard deviation) years; BMI, 27.0 +/- 5.3 kg/m(2)]. The associations of BMI, WC, and percent fat with age and laboratory-adjusted health risk indicators (i.e., serum glucose, insulin, triglycerides, high-density lipoprotein cholesterol, blood pressure) in each sex and ethnicity group were examined.

Results: For 18 of 24 comparisons, the age- and laboratory-adjusted correlations were lowest for percent fat and in 16 of 24 comparisons were highest for WC. Fifteen of the between-method differences reached statistical significance. With health risk indicator as the dependent variable and anthropometric measures as the independent variable, the contribution of percent fat to the WC regression model was not statistically significant; in contrast, adding WC to the percent fat regression model did make a significant independent contribution for most health risk indicators.

Discussion: WC had the strongest associations with health risk indicators, followed by BMI. Although percent fat is a useful measure of overall adiposity, health risks are best represented by the simply measured WC.

Citing Articles

Metabolic and inflammatory status in prepuberty and early adulthood for individuals with a history of extrauterine growth restriction: a cohort study.

Palomino-Fernandez L, Velasco I, Pastor-Villaescusa B, Flores-Rojas K, de la Cruz Rico M, Roa J J Transl Med. 2025; 23(1):67.

PMID: 39810203 PMC: 11731142. DOI: 10.1186/s12967-024-06053-2.


Trend of Metabolic Syndrome Indicators in Working Korean Women According to Smoking Status and Workplace Size: A Population-Based Retrospective Longitudinal Study.

Moon J, Jung S Public Health Nurs. 2024; 42(2):709-722.

PMID: 39676030 PMC: 11895407. DOI: 10.1111/phn.13510.


Body shape index (ABSI), body roundness index (BRI) and risk factors of metabolic syndrome among overweight and obese adults: a cross-sectional study.

Fahami M, Hojati A, Farhangi M BMC Endocr Disord. 2024; 24(1):230.

PMID: 39468529 PMC: 11514815. DOI: 10.1186/s12902-024-01763-6.


Clinical Implications of Metabolic Syndrome in Psoriasis Management.

Mustata M, Neagoe C, Ionescu M, Predoi M, Mitran A, Ianosi S Diagnostics (Basel). 2024; 14(16).

PMID: 39202262 PMC: 11353756. DOI: 10.3390/diagnostics14161774.


Body mass index is a barrier to obesity treatment.

Chin G, Potter A, Friedl K Front Endocrinol (Lausanne). 2024; 15:1444568.

PMID: 39149118 PMC: 11324493. DOI: 10.3389/fendo.2024.1444568.


References
1.
Nicklas B, Penninx B, Cesari M, Kritchevsky S, Newman A, Kanaya A . Association of visceral adipose tissue with incident myocardial infarction in older men and women: the Health, Aging and Body Composition Study. Am J Epidemiol. 2004; 160(8):741-9. DOI: 10.1093/aje/kwh281. View

2.
Carey D, Jenkins A, Campbell L, Freund J, Chisholm D . Abdominal fat and insulin resistance in normal and overweight women: Direct measurements reveal a strong relationship in subjects at both low and high risk of NIDDM. Diabetes. 1996; 45(5):633-8. DOI: 10.2337/diab.45.5.633. View

3.
Ito H, Nakasuga K, Ohshima A, Maruyama T, Kaji Y, Harada M . Detection of cardiovascular risk factors by indices of obesity obtained from anthropometry and dual-energy X-ray absorptiometry in Japanese individuals. Int J Obes Relat Metab Disord. 2003; 27(2):232-7. DOI: 10.1038/sj.ijo.802226. View

4.
Seidell J . Obesity in Europe: scaling an epidemic. Int J Obes Relat Metab Disord. 1995; 19 Suppl 3:S1-4. View

5.
Neovius M, Linne Y, Barkeling B, Rossner S . Sensitivity and specificity of classification systems for fatness in adolescents. Am J Clin Nutr. 2004; 80(3):597-603. DOI: 10.1093/ajcn/80.3.597. View