Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 299

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Accuracy of Anthropometric Indicators of Obesity to Predict Cardiovascular Risk

Open access
Schneider, Harald J., Glaesmer, Heide, Klotsche, Jens, Böhler, Steffen, Lehnert, Hendrik, Zeiher, Andreas M., März, Winfried, Pittrow, David, Stalla, Günter K., Wittchen, Hans-Ulrich, for the DETECT Study Group·2007·The Journal of Clinical Endocrinology & Metabolism

Abstract

CONTEXT: Obesity is associated with various cardiovascular risk factors. The body mass index (BMI) is the standard measure of overweight and obesity. However, more recently, waist to hip ratio (WHR) or waist circumference (WC) as more sensitive measures for visceral obesity have been proposed to be more indicative of cardiovascular risk. OBJECTIVE: This study was performed to test the predictive value of anthropometric parameters for the presence of several cardiovascular risk conditions. DESIGN: The DETECT (Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment) study is a cross-sectional, clinical-epidemiological study. PARTICIPANTS: We studied 5377 unselected subjects (2016 men, 3361 women) without arteriosclerotic disease, aged 20-79 yr, from the DETECT laboratory sample. SETTING: This study was conducted by primary care physicians. INTERVENTION: We measured anthropometric parameters and assessed cardiovascular risk by clinical examination, patient history, and a standardized laboratory program. MAIN OUTCOME MEASURES: We assessed the associations of BMI, WC, hip circumference, WHR, and waist to height ratio (WHtR) to cardiovascular risk by calculating the area under the receiver-operating characteristic curve and adjusted odds ratios for metabolic syndrome, dyslipidemia, and type 2 diabetes. RESULTS: The area under the receiver-operating characteristic curve for WHtR was significantly higher than for all other anthropometric parameters with respect to all risk conditions in women and to dyslipidemia and type 2 diabetes in men. The odds ratios for the presence of risk conditions with 1 sd increase of each anthropometric parameter were highest for WHtR or WC. CONCLUSIONS: There are some indications that WHtR or WC may predict prevalent cardiovascular risk better than BMI or WHR, even though the differences are small.

Overview

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 · 10.1210/jc.2006-0254

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Cited by

See all 299

Metadata

Authors
Schneider, H. J., Glaesmer, H., Klotsche, J., Böhler, S., Lehnert, H., Zeiher, A. M., März, W., Pittrow, D., Stalla, G. K., Wittchen, H.-U., & for the DETECT Study Group
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2006-11-14
Volume
92
Issue
2
Pages
589-594
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W2166515256
Cited by
299
References
7
FWCI
13.11
Type
journal article
Language
en
Open access
bronze

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.