Evidence map›Paper›PMID 27139423›Full record

ArticleJournal of physiology and biochemistry2016

Fitness, adiposopathy, and adiposity are independent predictors of insulin sensitivity in middle-aged men without diabetes.

Claire Huth, Étienne Pigeon, Marie-Ève Riou, Josée St-Onge, Hélène Arguin, Erick Couillard, Marie-Julie Dubois, André Marette, Angelo Tremblay, S John Weisnagel and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of physiology and biochemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

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  8. Gender Differences in the Pattern of Socio-Demographics Relevant to Metabolic Syndrome Among Kenyan Adults with Central Obesity at a Mission Hospital in Nairobi, Kenya.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2020
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  14. Abdominal obesity and metabolic syndrome: exercise as medicine?BMC sports science, medicine & rehabilitation · 2018
    Review
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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

13 authors at 3 institutions in 1 country.

Claire HuthDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Étienne PigeonDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Marie-Ève RiouDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Josée St-OngeDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Hélène ArguinDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Erick CouillardDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Marie-Julie DuboisCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec (CRIUCPQ), Université Laval, Québec, Québec, Canada.
André MaretteCentre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec (CRIUCPQ), Université Laval, Québec, Québec, Canada.
Angelo TremblayDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
S John WeisnagelDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Michel LacailleDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Pascale MauriègeDepartment of Kinesiology, Université Laval, Québec, Québec, Canada.
Denis R JoanisseDepartment of Kinesiology, Université Laval, Québec, Québec, Canada. denis.joanisse@kin.ulaval.ca.
Institut Universitaire de Cardiologie et de Pneumologie de Québec · CAUniversité Laval · CACentre hospitalier de l'Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adiposopathy, or sick fat, refers to adipose tissue dysfunction that can lead to several complications such as dyslipidemia, insulin resistance, and hyperglycemia. The relative contribution of adiposopathy in predicting insulin resistance remains unclear. We investigated the relationship between adiposopathy, as assessed as a low plasma adiponectin/leptin ratio, with anthropometry, body composition (hydrostatic weighing), insulin sensitivity (hyperinsulinemic-euglycemic clamp), inflammation, and fitness level (ergocycle VO2max, mL/kgFFM/min) in 53 men (aged 34-53 years) from four groups: sedentary controls without obesity (body mass index [BMI] <25 kg/m(2)), sedentary with obesity (BMI > 30 kg/m(2)), sedentary with obesity and glucose intolerance, and endurance trained active without obesity. The adiponectin/leptin ratio was the highest in trained men (4.75 ± 0.82) and the lowest in glucose intolerant subjects with obesity (0.27 ± 0.06; ANOVA p < 0.0001) indicating increased adiposopathy in those with obesity. The ratio was negatively associated with adiposity (e.g., waist circumference, r = -0.59, p < 0.01) and positively associated with VO2max (r = 0.67, p < 0.01) and insulin sensitivity (M/I, r = 0.73, p < 0.01). Multiple regression analysis revealed fitness as the strongest independent predictor of insulin sensitivity (partial R (2) = 0.61). While adiposopathy was also an independent and significant contributor (partial R (2) = 0.10), waist circumference added little power to the model (partial R (2) = 0.024). All three variables remained significant independent predictors when trained subjects were excluded from the model. Plasma lipids were not retained in the model. We conclude that low fitness, adiposopathy, as well as adiposity (and in particular abdominal obesity) are independent contributors to insulin resistance in men without diabetes.

Indexed as

AdiposityAgingExercise ToleranceInsulin ResistancePhysical FitnessAdiponectinAdultBody Mass IndexCohort StudiesCross-Sectional StudiesGlucose IntoleranceHumansLeptinMaleMiddle AgedObesity, AbdominalAdiponectinADIPOQ protein, humanLeptinAdiponectinHyperinsulinemic-euglycemic clampInsulin resistanceLeptinObesity

Identifiers

PMID27139423
OpenAlexW2345734450

What OpenQuestion holds

Textmetadata
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.