» Articles » PMID: 28840131

Characterization of Metabolically Healthy Obese People and Metabolically Unhealthy Normal-Weight People in a General Population Cohort of the ABCD Study

Overview
Journal J Diabetes Res
Publisher Wiley
Specialty Endocrinology
Date 2017 Aug 26
PMID 28840131
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

There is actually no consensus about the possibility that in some instances, obesity may be a benign metabolically healthy (MH) condition as opposed to a normal-weight but metabolically unhealthy (MUH) state. The aim of this study was to characterize MH condition and to investigate possible associations with metabolic and cardiovascular complications. One thousand nineteen people (range of age 18-90 years) of the cohort of the ABCD_2 study were investigated. Participants were classified as normal weight (BMI < 24.9 kg/m) or overweight-obese (BMI ≥25 kg/m); they were also classified as MH in the presence of 0-1 among the following conditions: (a) prediabetes/type 2 diabetes, (b) hypertension, (c) hypertriglyceridemia or low HDL cholesterolemia, and (d) hypercholesterolemia. MUH condition was diagnosed if ≥2 of the conditions listed were found. The prevalence of overweight/obese people was 71.1%, of whom 27.4% were found to be MH. In addition, 36.7% of the normal-weight participants were MUH. HOMA-IR, high sensitivity C-reactive protein, and the carotid intima-media thickness were significantly different in the 4 subgroups ( < 0.001), with higher values observed in the MUH normal-weight and obese groups. In conclusion, this study highlights the importance of identifying a MH condition in normal-weight and in obese people in order to offer better treatment.

Citing Articles

Metabolically Unhealthy Normal Weight: Prevalence and Associated Factors in an Adult Population from Northwest Colombia.

Lopez-Herrera J, Castillo A, Ordonez-Betancourth J, Martinez Quiroz W, Higuita-Gutierrez L, Suarez-Ortegon M Diabetes Metab Syndr Obes. 2024; 17:1337-1357.

PMID: 38525161 PMC: 10959303. DOI: 10.2147/DMSO.S449213.


Anthropometric and Biochemical Correlations of Insulin Resistance in a Middle-Aged Maltese Caucasian Population.

Agius R, Pace N, Fava S J Nutr Metab. 2024; 2024:5528250.

PMID: 38420511 PMC: 10901578. DOI: 10.1155/2024/5528250.


Metabolic syndrome and transaminases: systematic review and meta-analysis.

Raya-Cano E, Molina-Luque R, Vaquero-Abellan M, Molina-Recio G, Jimenez-Merida R, Romero-Saldana M Diabetol Metab Syndr. 2023; 15(1):220.

PMID: 37899468 PMC: 10614379. DOI: 10.1186/s13098-023-01200-z.


Is Metabolic Score for Visceral Fat (METS-VF) a Better Index Than Other Adiposity Indices for the Prediction of Visceral Adiposity.

Torun C, Ankarali H, Castur L, Uzunlulu M, Erbakan A, Akbas M Diabetes Metab Syndr Obes. 2023; 16:2605-2615.

PMID: 37663201 PMC: 10474894. DOI: 10.2147/DMSO.S421623.


The Association between Cardio-metabolic and hepatic indices and anthropometric measures with metabolically obesity phenotypes: a cross-sectional study from the Hoveyzeh Cohort Study.

Zakerkish M, Hoseinian A, Alipour M, Payami S BMC Endocr Disord. 2023; 23(1):122.

PMID: 37246210 PMC: 10226206. DOI: 10.1186/s12902-023-01372-9.


References
1.
FRIEDEWALD W, Levy R, Fredrickson D . Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972; 18(6):499-502. View

2.
Harrington J, Phillips C . Nutrigenetics: bridging two worlds to understand type 2 diabetes. Curr Diab Rep. 2014; 14(4):477. DOI: 10.1007/s11892-014-0477-1. View

3.
Taylor K, Riely C, Hammers L, Flax S, Weltin G, Garcia-Tsao G . Quantitative US attenuation in normal liver and in patients with diffuse liver disease: importance of fat. Radiology. 1986; 160(1):65-71. DOI: 10.1148/radiology.160.1.3520657. View

4.
Buscemi S, Blunda G, Maneri R, Verga S . Bioelectrical characteristics of type 1 and type 2 diabetic subjects with reference to body water compartments. Acta Diabetol. 1999; 35(4):220-3. DOI: 10.1007/s005920050135. View

5.
Wildman R, Muntner P, Reynolds K, McGinn A, Rajpathak S, Wylie-Rosett J . The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004). Arch Intern Med. 2008; 168(15):1617-24. DOI: 10.1001/archinte.168.15.1617. View