Evidence map›Paper›PMID 37165462›Full record

ArticleDiabetology & metabolic syndrome2023

Obesity related to metabolic syndrome: comparison of obesity indicators in an older french population.

Hourfil-Gabin Ntougou Assoumou, Vincent Pichot, Jean-Claude Barthelemy, Sébastien Celle, Arnauld Garcin, Thierry Thomas, Frédéric Roche

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hourfil-Gabin Ntougou AssoumouEcole Normale Supérieure, Libreville, Gabon.
Vincent PichotClinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France.
Jean-Claude BarthelemyINSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France.
Sébastien CelleClinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France.
Arnauld GarcinClinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France.
Thierry ThomasINSERM, U1059 Sainbiose, Jean Monnet University, Mines Saint Etienne Faculté de Médecine, Campus Santé Innovation, Saint-Étienne, F-42023, France.
Frédéric RocheClinical and Exercise Physiology Laboratory, University Hospital, Saint-Etienne, F-42055, France. frederic.roche@univ-st-etienne.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMetabolic syndrome (MS) represents a cluster of metabolic abnormalities. Insulin resistance is a major component of the syndrome. We analyze in this study the relationship between body fat composition and MS in comparison to usual obesity indicators in an older adult population.

designThe PROgnostic indicator OF cardiovascular and cerebrovascular events (PROOF) study is a prospective longitudinal community cohort study among the inhabitants of Saint-Etienne, France.

methodsThe study is a cohort study of 1011 subjects, mean age 65.6 ± 0.8 years old at inclusion, recruited from the electoral list of the town in 2000. Among them, 806 subjects realized a Dual-energy X-ray absorptiometry (DXA) used to evaluate body fat and lean mass repartition. We evaluate biological metabolic parameters according to usual techniques. The indices of obesity were calculated according to standard formula. MS presence and its components were simultaneously evaluated.

resultsAll obesity parameters were significantly higher (p < 0.0001) in subjects suffering metabolic syndrome as compared to those without. Body fat index (BFI) presented a stronger correlation to total fat mass, trunk fat mass and body adiposity index (BAI). The correlations between body indices and metabolic components showed that body mass index (BMI) and waist circumference were more strongly associated with BFI as compared to BAI and total fat mass. According to logistic regression analysis, only the waist-hip ratio (WHR) demonstrated a significant association with MS severity (p < 0.0001).

conclusionsAmong the obesity indices, BFI and BAI represented the best indicators to characterize global obesity while WHR only is highly predictive of metabolic syndrome presence and severity. The BAI indicator is an alternative for measuring obesity. Comparison of long-term impact of such markers on cardiovascular morbidity and mortality is now questioned.

Indexed as

Abdominal obesityAdiposityBody fat indexBody mass indexMetabolic syndromeObesityWaist circumference

Identifiers

PMID37165462
PMCPMC10173621

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.