Cited by 481Diabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement TechniquesObesity, Physical Activity, Diet

Waist circumference as the best predictor of noninsulin dependent diabetes mellitus (NIDDM) compared to body mass index, waist/hip ratio and other anthropometric measurements in Mexican Americans–a 7-year prospective study

Open access
Wei, Ming, Gaskill, Sharon P., Haffner, Steven M., Stern, Michael P.·1997·Obesity Research

Abstract

Although a number of obesity-related variables are recognized risk factors for NIDDM, few studies have addressed which one is the best predictor. A cohort of 721 Mexican Americans aged 25-64 years who were free of NIDDM at baseline were followed for an average of 7.2 years; 105 new cases of NIDDM were diagnosed. Body weight, body mass index (BMI), waist and hip circumferences, waist/hip ratio (WHR), triceps and subscapular skinfolds were all positively predictive of NIDDM independent of age and sex. There were modest to strong correlations between these anthropometric variables, however, waist circumference was the strongest predictor of NIDDM. The predictive power of a single measurement of waist circumference was at least equal to that of WHR and BMI combined. The risk of NIDDM for those in the highest quartile of waist circumference was 11 times greater than for those in the lowest quartile (95% confidence interval: 4.2-28.8). The waist-NIDDM relation was stronger in subjects with BMI < or = 27 kg/m2 (OR: 6.0 for a 1 SD difference) than in subjects with BMI > 27 kg/m2 (OR: 1.7 for a 1 SD difference). In multivariate analysis, waist circumference was the only significant predictor of NIDDM in models that included other anthropometric variables either separately or simultaneously. WHR and BMI were independent predictors of NIDDM after adjustment for each other, however, their predictive abilities disappeared after adjustment for waist circumference. The data indicate that waist is the best obesity-related predictor of NIDDM. This finding suggests that the distribution of body fat, especially abdominal localization, is a more important determinant than the total amount of body fat of the development of NIDDM in Mexican Americans.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/j.1550-8528.1997.tb00278.x

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • For type 2 diabetes and certain cancers (e.g., colon), some studies suggest that waist circumference, waist-to-hip ratio, or direct measures of visceral adiposity are associated with risk independently of BMI.

    “For type 2 diabetes (20) as well as certain cancers (e.g., colon) (21), some studies suggest that waist circumference, waist-to-hip ratio, or direct measures of visceral adiposity are associated with risk independently of BMI.”

    From Diabetes and Cancer (2010) · cites this paper as [20]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Ferland M, Despres JP, Tremblay A, et al. Assessment of adipose tissue with body density and anthropometric measure- ments. Br J Nutr. 1989;61:139-148.

Cited by

Sorted by citations

Authors
Wei, M., Gaskill, S. P., Haffner, S. M., & Stern, M. P.
Affiliations
The University of Texas at San Antonio Health Science Center (US)
Corresponding author
Wei, Ming
Venue
Obesity Research
Publisher
Wiley
Published
1997-01
Volume
5
Issue
1
Pages
16-23
ISSN
  • 1071-7323 (ISSN-L)
  • 1550-8528
OpenAlex
W1990440458
Cited by
481
References
27
Citations by year
2026: 2 · 2025: 4 · 2024: 7 · 2023: 5 · 2022: 13 · 2021: 15 · 2020: 15 · 2019: 13 · 2018: 14 · 2017: 11 · 2016: 13 · 2015: 22 · 2014: 32 · 2013: 28 · 2012: 28
FWCI
5.88
Type
journal article
Language
en
Open access
Locations
  • Obesity Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5r37hl036820-10)
  • National Heart, Lung, and Blood Institute (R37HL36820, R01HL024799, HL24799)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
waist circumference, type 2 diabetes, Mexican Americans, body mass index, waist-to-hip ratio, anthropometric predictors, abdominal obesity, skinfold thickness, obesity risk factors, prospective cohort
MeSH terms
Adult, Anthropometry, Body Constitution, Body Height, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Prospective Studies, Risk Factors, Skinfold Thickness, Body Mass Index

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review