Literature DB >> 23559087

Metabolically healthy but obese, a matter of time? Findings from the prospective Pizarra study.

Federico Soriguer1, Carolina Gutiérrez-Repiso, Elehazara Rubio-Martín, Eduardo García-Fuentes, María Cruz Almaraz, Natalia Colomo, Isabel Esteva de Antonio, María Soledad Ruiz de Adana, Felipe Javier Chaves, Sonsoles Morcillo, Sergio Valdés, Gemma Rojo-Martínez.   

Abstract

BACKGROUND: Prospective longitudinal studies evaluating the relevance of "Metabolically Healthy but Obese" (MHO) phenotype at risk for type 2 diabetes mellitus (T2D) and cardiovascular diseases are few and results are contradictory.
METHODS: As a representative of the general population, 1051 individuals were evaluated in 1997-1998 and re-evaluated after 6 years and 11 years. Subjects without known T2D were given an oral glucose tolerance test. Anthropometric and biochemical variables were measured. Four sets of criteria were considered to define MHO subjects besides body mass index ≥30 kg/m(2): A: Homeostatic Model of Assessment-Insulin Resistance Index (HOMA-IR) <90th percentile; B: HOMA-IR <90th percentile, high-density lipoprotein cholesterol >40 mg/dL in men and high-density lipoprotein cholesterol >50 mg/dL in women, triglycerides <150 mg/dL, fasting glucose <110 mg/dL, and blood pressure ≤140/90 mm Hg; C: HOMA-IR <90th percentile, triglycerides <150 mg/dL, fasting glucose <110 mg/dL, and blood pressure ≤140/90 mm Hg; D: HOMA-IR <90th percentile, triglycerides <150 mg/dL, and fasting glucose <110 mg/dL. Subjects with T2D at baseline were excluded from the calculations of incidence of T2D.
RESULTS: The baseline prevalence of MHO phenotype varied between 3.0% and 16.9%, depending on the set of criteria chosen. Metabolically nonhealthy obese subjects were at highest risk for becoming diabetic after 11 years of follow-up (odds ratio = 8.20; 95% confidence interval = 2.72-24.72; P < .0001). In MHO subjects the risk for becoming diabetic was lower than in metabolically nonhealthy obese subjects, but this risk remained significant (odds ratio = 3.13; 95% confidence interval = 1.07-9.17; P = .02). In subjects who lost weight during the study, the association between MHO phenotype and T2D incidence disappeared, even after adjusting for HOMA-IR.
CONCLUSIONS: The results suggest that MHO is a dynamic concept that should be taken into account over time. As a clinical entity, it may be questionable.

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Year:  2013        PMID: 23559087     DOI: 10.1210/jc.2012-4253

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  81 in total

1.  Comparison of the effect of 'metabolically healthy but obese' and 'metabolically abnormal but not obese' phenotypes on development of diabetes and cardiovascular disease in Chinese.

Authors:  Deng Luo; Fang Liu; Xiaowen Li; Dechao Yin; Ziwei Lin; Hui Liu; Xuhong Hou; Chen Wang; Weiping Jia
Journal:  Endocrine       Date:  2014-10-14       Impact factor: 3.633

2.  Metabolically healthy obesity and metabolically obese normal weight: a review.

Authors:  Saioa Gómez-Zorita; Maite Queralt; Maria Angeles Vicente; Marcela González; María P Portillo
Journal:  J Physiol Biochem       Date:  2021-03-11       Impact factor: 4.158

3.  Misclassification of cardiometabolic health when using body mass index categories.

Authors:  R Caleyachetty; P Meunnig; A P Kengne
Journal:  Int J Obes (Lond)       Date:  2016-04-22       Impact factor: 5.095

4.  Phenotypic and metabolic dichotomy in obesity: clinical, biochemical and immunological correlates of metabolically divergent obese phenotypes in healthy South Asian adults.

Authors:  Khadija Irfan Khawaja; Saqib Ali Mian; Aziz Fatima; Ghulam Murtaza Tahir; Fehmida Farrukh Khan; Saira Burney; Ali Hasan; Faisal Masud
Journal:  Singapore Med J       Date:  2018-02-12       Impact factor: 1.858

5.  Muscle metabolic reprogramming underlies the resistance of liver fatty acid-binding protein (LFABP)-null mice to high-fat feeding-induced decline in exercise capacity.

Authors:  Heli Xu; Angela M Gajda; Yin Xiu Zhou; Cristina Panetta; Zoe Sifnakis; Anam Fatima; Gregory C Henderson; Judith Storch
Journal:  J Biol Chem       Date:  2019-08-26       Impact factor: 5.157

6.  Three-year weight change and cardiometabolic risk factors in obese and normal weight adults who are metabolically healthy: the atherosclerosis risk in communities study.

Authors:  Z Cui; K P Truesdale; P T Bradshaw; J Cai; J Stevens
Journal:  Int J Obes (Lond)       Date:  2015-04-14       Impact factor: 5.095

7.  Risk of developing diabetes and cardiovascular disease in metabolically unhealthy normal-weight and metabolically healthy obese individuals.

Authors:  KoKo Aung; Carlos Lorenzo; Marco A Hinojosa; Steven M Haffner
Journal:  J Clin Endocrinol Metab       Date:  2013-11-20       Impact factor: 5.958

Review 8.  Metabolically healthy obesity--does it exist?

Authors:  Patchaya Boonchaya-anant; Caroline M Apovian
Journal:  Curr Atheroscler Rep       Date:  2014-10       Impact factor: 5.113

9.  Metabolically Healthy Obesity and the Development of Nonalcoholic Fatty Liver Disease.

Authors:  Yoosoo Chang; Hyun-Suk Jung; Juhee Cho; Yiyi Zhang; Kyung Eun Yun; Mariana Lazo; Roberto Pastor-Barriuso; Jiin Ahn; Chan-Won Kim; Sanjay Rampal; Miguel Cainzos-Achirica; Di Zhao; Eun Cheol Chung; Hocheol Shin; Eliseo Guallar; Seungho Ryu
Journal:  Am J Gastroenterol       Date:  2016-05-17       Impact factor: 10.864

Review 10.  Metabolically healthy and unhealthy obese--the 2013 Stock Conference report.

Authors:  D Samocha-Bonet; V D Dixit; C R Kahn; R L Leibel; X Lin; M Nieuwdorp; K H Pietiläinen; R Rabasa-Lhoret; M Roden; P E Scherer; S Klein; E Ravussin
Journal:  Obes Rev       Date:  2014-07-25       Impact factor: 9.213

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