Literature DB >> 19713189

Metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) phenotypes in Koreans: characteristics and health behaviors.

Kayoung Lee1.   

Abstract

The purpose of this study was to estimate the prevalence of 'metabolically obese, but normal-weight' (MONW) and 'metabolically healthy, but obese' (MHO) phenotypes in Korean adults and identify the characteristics and health behaviors related to both phenotypes. Of the 5267 participants (2227 men, 3040 women) from the 3rd Korean National Health and Nutrition Examination Survey, the MONW phenotype (8.7% of total subjects, 12.7% of normal-weight subjects) was defined as individuals of normal weight (BMI<25) with the metabolic syndrome (MS), and the MHO phenotype (15.2% of total subjects, 47.9% of obese subject) was defined as obese individuals (BMI>or=25) without the MS. The odds ratio for MONW phenotype was significantly higher for those at older age, those with lower education, those who had moderate alcohol consumption, and time spent participating in moderate-intensity exercise. The odds ratio for MHO phenotype was significantly lower for those at older age, men, those with lower education, and former/current smokers. In conclusion, regardless of weight status, health behaviors should be modified to prevent MS.

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Year:  2009        PMID: 19713189

Source DB:  PubMed          Journal:  Asia Pac J Clin Nutr        ISSN: 0964-7058            Impact factor:   1.662


  44 in total

1.  Is the "South Asian Phenotype" Unique to South Asians?: Comparing Cardiometabolic Risk Factors in the CARRS and NHANES Studies.

Authors:  Shivani A Patel; Roopa Shivashankar; Mohammed K Ali; R M Anjana; M Deepa; Deksha Kapoor; Dimple Kondal; Garima Rautela; V Mohan; K M Venkat Narayan; M Masood Kadir; Zafar Fatmi; Dorairaj Prabhakaran; Nikhil Tandon
Journal:  Glob Heart       Date:  2016-03

Review 2.  'Metabolically healthy obesity': origins and implications.

Authors:  Gerald V Denis; Martin S Obin
Journal:  Mol Aspects Med       Date:  2012-10-13

3.  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

4.  Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype.

Authors:  X Liu; Q Wu; G Yan; J Duan; Z Chen; P Yang; N L Bragazzi; Y Lu; H Yuan
Journal:  J Endocrinol Invest       Date:  2020-09-09       Impact factor: 4.256

5.  Metabolically Healthy Obesity Is Not Associated with Food Intake in White or Black Men.

Authors:  Ruth W Kimokoti; Suzanne E Judd; James M Shikany; P K Newby
Journal:  J Nutr       Date:  2015-09-30       Impact factor: 4.798

6.  Metabolic health and weight: Understanding metabolically unhealthy normal weight or metabolically healthy obese patients.

Authors:  Hannah Mathew; Olivia M Farr; Christos S Mantzoros
Journal:  Metabolism       Date:  2015-10-23       Impact factor: 8.694

7.  Food intake does not differ between obese women who are metabolically healthy or abnormal.

Authors:  Ruth W Kimokoti; Suzanne E Judd; James M Shikany; P K Newby
Journal:  J Nutr       Date:  2014-10-08       Impact factor: 4.798

Review 8.  Brd2 gene disruption causes "metabolically healthy" obesity: epigenetic and chromatin-based mechanisms that uncouple obesity from type 2 diabetes.

Authors:  Fangnian Wang; Jude T Deeney; Gerald V Denis
Journal:  Vitam Horm       Date:  2013       Impact factor: 3.421

9.  Using appropriate body mass index cut points for overweight and obesity among Asian Americans.

Authors:  Jane Jih; Arnab Mukherjea; Eric Vittinghoff; Tung T Nguyen; Janice Y Tsoh; Yoshimi Fukuoka; Melinda S Bender; Winston Tseng; Alka M Kanaya
Journal:  Prev Med       Date:  2014-04-13       Impact factor: 4.018

10.  Evidence of genetic predisposition for metabolically healthy obesity and metabolically obese normal weight.

Authors:  Lam O Huang; Ruth J F Loos; Tuomas O Kilpeläinen
Journal:  Physiol Genomics       Date:  2017-12-20       Impact factor: 3.107

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