ArticleJournal of diabetes research2026
Prediabetes Phenotypes and Adiposity Patterns: Findings From a Population-Based Study.
Article in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundPrediabetes is a heterogeneous condition encompassing three glucose-defined phenotypes (isolated impaired fasting glucose [i-IFG], isolated impaired glucose tolerance [i-IGT], and IFG + IGT), with distinct pathophysiological mechanisms. This study assessed the associations of weight status (body mass index [BMI]), general adiposity (fat mass index [FMI]), total lean mass (lean mass index [LMI]), and body fat distribution (waist circumference [WC] and DEXA-derived appendicular, gynoid, abdominal and visceral adiposity) with prediabetes phenotypes.
methodsThis cross-sectional study included 3225 adults without diabetes who had complete data on fasting and 2-h plasma glucose, anthropometric measures (BMI and WC), and DEXA-derived measures (FMI, LMI, and percentages of total fat in appendicular, gynoid, abdominal and visceral regions) from the National Health and Nutrition Examination Survey 2011-2016. BMI and WC were classified according to WHO criteria. DEXA-derived measures were classified using sex-specific tertiles. Glycemic status was classified as normoglycemia, i-IFG, i-IGT, or IFG + IGT based on ADA criteria. Logistic regression and restricted cubic spline analyses were performed.
resultsThe weighted mean (SD) age was 37.16 (12.15) years, and 49.5% of participants were male. Overall, 59.6%, 29.1%, 4.2%, and 7.0% had normoglycemia, i-IFG, i-IGT, and IFG + IGT, respectively. Compared with individuals with normal BMI, those with overweight or obesity had higher odds of i-IFG (overweight: OR = 1.56 [1.19, 2.03]; obesity: OR = 2.73 [2.09, 3.56]) and IFG + IGT (overweight: OR = 2.81 [1.61, 4.91]; obesity: OR = 6.72 [4.03, 11.22]), whereas both underweight (OR = 3.22 [1.21, 8.58]) and obesity (OR = 2.57 [1.64, 4.04]) were associated with higher odds of i-IGT, indicating a U-shaped relationship between BMI and i-IGT (p
conclusionAdiposity patterns differed across prediabetes phenotypes. These findings provide insights for tailoring intervention strategies by prediabetes phenotype to optimize diabetes prevention.
Indexed as
Identifiers
What Socratic 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 Socratic graph.