The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Treatment of obesity: need to focus on high risk abdominally obese patients
Open accessAbstract
Editorial by Little and Byrne It is generally accepted that obesity is a health hazard because of its association with numerous metabolic complications such as dyslipidaemia, type 2 diabetes, and cardiovascular diseases.1 On that basis, health agencies 2 3 have proposed that obesity should be defined on the basis of weight in kg expressed over height in m2, the so called body mass index,4 initially described by Quetelet in 1869 (table). Epidemiological studies have reported a progressive increase in the incidence of chronic diseases such as hypertension, diabetes, and coronary heart disease with increasing body mass index.1-3 However, despite this well documented evidence, physicians are, in their daily practice, perplexed by the remarkable heterogeneity found in their obese patients. For instance, some patients show a relatively “normal” profile of metabolic risk factors despite the presence of substantial excess body fat, whereas others who are only moderately overweight can nevertheless be characterised by a whole cluster of metabolic complications, increasing the risk of type 2 diabetes, coronary atherosclerosis, and cardiovascular disease. View this table: Classification of obesity based on body mass index (BMI)2 3 #### Summary points A simple measurement such as waist circumference can indicate accumulation of abdominal fat Viscerally obese men are characterised by an atherogenic plasma lipoprotein profile A triad of non-traditional markers for coronary heart disease found in viscerally obese middle aged men (hyperinsulinaemia, raised apolipoprotein B concentration, and small LDL particles) increases the risk of coronary heart disease 20-fold Four out of five middle aged men with a waist measurement ≥90 cm and triglyceride concentrations ≥2 mmol/l are characterised by this triad Even in the absence of hypercholesterolaemia, hyperglycaemia, or hypertension, obese patients could be at high risk of coronary heart disease if they have this “hypertriglyceridaemic waist” phenotype In this regard, epidemiological and metabolic studies …
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.
Integrity signals
Registry
Cites
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.
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
Waist circumference as a measure for indicating need for weight management
Lean, M. E. J., Han, T. S., & Morrison, C. E. (1995) · BMJ · doi:10.1136/bmj.311.6998.158 · Cited by 1,869
Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease.
Després, J. P., Moorjani, S., Lupien, P. J., Tremblay, A., Nadeau, A., & Bouchard, C. (1990) · Arteriosclerosis: An Official Journal of the American Heart Association, Inc. · doi:10.1161/01.atv.10.4.497 · Cited by 1,248
Self-citationLemieux, I., Pascot, A., Couillard, C., Lamarche, B., Tchernof, A., Alméras, N., Bergeron, J., Gaudet, D., Tremblay, G., Prud’homme, D., et al. (2000) · Circulation · doi:10.1161/01.cir.102.2.179 · Cited by 937
Self-citationBergstrom, R. W., Newell-Morris, L. L., Leonetti, D. L., Shuman, W. P., Wahl, P. W., & Fujimoto, W. Y. (1990) · Diabetes · doi:10.2337/diacare.39.1.104 · Cited by 194
Cited by
Abdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354
Self-citationMechanisms linking obesity with cardiovascular disease
Van Gaal, L. F., Mertens, I. L., & De Block, C. E. (2006) · Nature · doi:10.1038/nature05487 · Cited by 2,814
Pathophysiology of human visceral obesity: an update
Tchernof, A., & Després, J.-P. (2013) · Physiological Reviews · doi:10.1152/physrev.00033.2011 · Cited by 2,583
Self-citationTang, T., Lord, J. M., Norman, R. J., Yasmin, E., & Balen, A. H. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003053.pub5 · Cited by 698
Tomiyama, A. J. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-010418-102936 · Cited by 695
“Abdominal obesity is a particularly toxic pattern of fat deposition and predicts poor metabolic and cardiovascular health in longitudinal studies (Després et al. 2001).”
Background
Metadata
- Authors
- Després, J.-P., Lemieux, I., & Prud'homme, D.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2001-03-24
- Volume
- 322
- Issue
- 7288
- Pages
- 716-720
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W2030968730
- Cited by
- 826
- References
- 4
- FWCI
- 26.13
- Type
- journal article
- Language
- en
- Open access
- green
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.