Evidence map›Paper›PMID 27036105›Full record

ArticleBMC public health2016

Prevalence and clinical characteristics of metabolically healthy obese individuals and other obese/non-obese metabolic phenotypes in a working population: results from the Icaria study.

Albert Goday, Eva Calvo, Luis Alberto Vázquez, Elena Caveda, Teresa Margallo, Carlos Catalina-Romero, Jesús Reviriego

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
10.0field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 76 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Albert GodayServicio de Endocrinología y Nutrición, Hospital del Mar and Departament de Medicia, Universitat Autonoma Barcelona, CIBERobn, ISCIII, Barcelona, Spain. AGoday@parcdesalutmar.cat.
Eva CalvoIbermutuamur, Mutua de Accidentes de Trabajo y Enfermedades Profesionales de la Seguridad Social n° 274, Madrid, Spain.
Luis Alberto VázquezEli Lilly and Company, Alcobendas, Spain.
Elena CavedaEli Lilly and Company, Alcobendas, Spain.
Teresa MargalloSociedad de Prevención de Ibermutuamur (Ibermutuamur Prevention Society), Madrid, Spain.
Carlos Catalina-RomeroIbermutuamur, Mutua de Accidentes de Trabajo y Enfermedades Profesionales de la Seguridad Social n° 274, Madrid, Spain.
Jesús ReviriegoEli Lilly and Company, Alcobendas, Spain.
Eli Lilly (Spain) · ESCentro de Investigación Biomédica en Red · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolically healthy obese (MHO) phenotype may present with distinct characteristics compared with those with a metabolically unhealthy obese phenotype. Epidemiologic data on the distribution of these conditions in the working population are lacking. We aimed to evaluate the prevalence and clinical characteristics of MHO and other obese/non-obese metabolic phenotypes in a working population.

methodsCross-sectional analysis of all subjects who had undergone a medical examination with Ibermutuamur Prevention Society from May 2004 to December 2007. Participants were classified into 5 categories according to their body mass index (BMI); within each of these categories, participants were further classified as metabolically healthy (MH) or metabolically unhealthy (MUH) according to the modified NCEP-ATPIII criteria. A logistic regression analysis was performed to evaluate some clinically relevant factors associated with a MH status.

resultsIn the overall population, the prevalence of the MHO phenotype was 8.6%. The proportions of MH individuals in the overweight and obese categories were: 87.1% (overweight) and 55.5% (obese I-III [58.8, 40.0, and 38.7% of the obese I, II, and III categories, respectively]). When the overweight and obese categories were considered, compared with individuals who were MUH, those who were MH tended to be younger and more likely to be female or participate in physical exercise; they were also less likely to smoke, or to be a heavy drinker. In the underweight and normal weight categories, compared with individuals who were MH, those who were MUH were more likely to be older, male, manual (blue collar) workers, smokers and heavy drinkers. Among participants in the MUH, normal weight group, the proportion of individuals with a sedentary lifestyle was higher relative to those in the MH, normal weight group. The factors more strongly associated with the MUH phenotype were BMI and age, followed by the presence of hypercholesterolemia, male sex, being a smoker, being a heavy drinker, and lack of physical exercise.

conclusionsThe prevalence of individuals with a MHO phenotype in the working population is high. This population may constitute an appropriate target group in whom to implement lifestyle modification initiatives to reduce the likelihood of transition to a MUH phenotype.

Indexed as

AdultAge FactorsAlcohol DrinkingBody Mass IndexCholesterolCross-Sectional StudiesExerciseFemaleHealth BehaviorHealth StatusHumansLife StyleMaleMiddle AgedObesityOverweightCholesterolMetabolically healthy obesityMetabolic risk factorsPrevalenceWorking population

Identifiers

PMID27036105
PMCPMC4818410
OpenAlexW2312561236

What OpenQuestion holds

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Registered trials

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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.