ArticleThe Physician and sportsmedicine2016
Metabolic characterization of overweight and obese adults.
Article in The Physician and sportsmedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Circulating concentrations of free triiodothyronine are associated with central adiposity and cardiometabolic risk factors in young euthyroid adults.Journal of physiology and biochemistry · 2022Trial
- High-Fat Breakfast Meal Replacement in Overweight and Obesity: Implications on Body Composition, Metabolic Markers, and Satiety.Nutrients · 2019Trial
- The Effect of Cranberry Consumption on Body Weight and Liver Enzymes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Food science & nutrition · 2026Review
- Longitudinal associations between BMI, ideal-actual BMI gap, and body shape concern among young Chinese females.Frontiers in public health · 2025Article
- Ae index is an independent predictor of kidney stone recurrence in overweight and obese patients.BMC urology · 2023Article
- Synergistic effects of exercise and catalase overexpression on gut microbiome.Environmental microbiology · 2022Article
- Article
- An Overview of the Role of Adipokines in Cardiometabolic Diseases.Molecules (Basel, Switzerland) · 2020Review
- Physical activity and risk of cardiovascular disease by weight status among U.S adults.PloS one · 2020Article
- Influence of segmental body composition and adiposity hormones on resting metabolic rate and substrate utilization in overweight and obese adults.Journal of endocrinological investigation · 2017Article
- The Influence of Habitual Protein Intake on Body Composition and Muscular Strength in Career Firefighters.Journal of the American College of NutritionArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesTraditional evaluations of metabolic health may overlook underlying dysfunction in individuals who show no signs of insulin resistance or dyslipidemia. The purpose of this study was to characterize metabolic health in overweight and obese adults using traditional and non-traditional cardiometabolic variables. A secondary purpose was to evaluate differences between overweight/obese and male/female cohorts, respectively.
methodsForty-nine overweight and obese adults (Mean ± SD; Age = 35.0 ± 8.9 yrs; Body mass index = 33.6 ± 5.2 kg·m
resultsThe prevalence of individuals with two or more cardiometabolic risk factors increased from 13%, using traditional risk factors (GLUC, TRG, HDL), to 80% when non-traditional metabolic factors (VAT, LM, RMR, RER, TC, LDL, HOMA-IR) were considered. Between overweight/obese, there were no significant differences in %fat (p = 0.152), VAT (p = 0.959), RER (p = 0.493), lipids/GLUC (p > 0.05), insulin (p = 0.143), leptin (p = 0.053), or cortisol (p = 0.063); obese had higher FM, LM, RMR, and estradiol (p < 0.01). Males had greater LM, RMR, and TRG (p < 0.01); females had greater %fat, and leptin (p < 0.001). There were no significant sex differences in RER, estradiol, insulin, or cortisol (p > 0.05).
conclusionsEvaluating metabolic health beyond BMI and traditional cardiometabolic risk factors can give significant insights into metabolic status. Due to high variability in metabolic health in overweight and obese adults and inherent sex differences, implementation of body composition and visceral fat measures in the clinical setting can improve early identification and approaches to disease prevention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.