Literature DB >> 27038124

The association of incident hypertension with metabolic health and obesity status: definition of metabolic health does not matter.

Yu Mi Kang1, Chang Hee Jung1, Jung Eun Jang1, Jenie Yoonoo Hwang2, Eun Hee Kim2, Joong-Yeol Park1, Hong-Kyu Kim2, Woo Je Lee1.   

Abstract

OBJECTIVE: Metabolically healthy obese (MHO) phenotype refers to obese individuals with a favourable metabolic profile. Its prognostic value remains controversial and may partly depend on differences in how the phenotype is defined. We aimed to investigate whether the MHO phenotype is associated with future development of incident hypertension in a Korean population according to various definitions of metabolic health. SUBJECTS AND METHODS: The study population comprised 31 033 Koreans without hypertension. Participants were stratified into metabolically healthy nonobese (MHNO), metabolically unhealthy nonobese (MUNO), metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) by body mass index (cut-off value, 25·0 kg/m(2) ) and metabolic health state, using four different definitions: Adult Treatment Panel (ATP)-III, Wildman, Karelis and the homoeostasis model assessment (HOMA) criteria.
RESULTS: Over the median follow-up period of 35·0 months (range, 4·5-81·4 months), 4589 of the 31 033 individuals (14·8%) developed incident hypertension. Compared with the MHNO group, the MHO group showed increased association with incident hypertension with multivariate-adjusted odds ratios of 1·56 (95% confidence interval [CI], 1·41-1·72), 1·58 (95% CI 1·42-1·75), 1·52 (95% CI 1·35-1·71) and 1·46 (95% CI 1·33-1·61), when defined by ATP-III, Wildman, Karelis and HOMA criteria, respectively.
CONCLUSION: MUO individuals showed the highest association with the incident hypertension (adjusted odds ratios up to 2·00). MHO subjects showed an approximately 1·5-fold higher association with incident hypertension than their nonobese counterpart regardless of the definition of metabolic health used. Thus, considering both metabolic health and obesity is important for the assessment of potential cardiovascular outcomes.
© 2016 John Wiley & Sons Ltd.

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Year:  2016        PMID: 27038124     DOI: 10.1111/cen.13074

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  10 in total

1.  Risk of hypertension among different metabolic phenotypes: a systematic review and meta-analysis of prospective cohort studies.

Authors:  Atieh Mirzababaei; Hadis Mozaffari; Sakineh Shab-Bidar; Alireza Milajerdi; Kurosh Djafarian
Journal:  J Hum Hypertens       Date:  2018-12-19       Impact factor: 3.012

2.  Cardiovascular health in adults with type 1 diabetes.

Authors:  Margaret M McCarthy; Marjorie Funk; Margaret Grey
Journal:  Prev Med       Date:  2016-08-12       Impact factor: 4.018

Review 3.  Metabolically healthy obesity: a friend or foe?

Authors:  Chang Hee Jung; Woo Je Lee; Kee-Ho Song
Journal:  Korean J Intern Med       Date:  2017-06-05       Impact factor: 2.884

4.  Fatty liver disease determines the progression of coronary artery calcification in a metabolically healthy obese population.

Authors:  Yu Mi Kang; Chang Hee Jung; Yun Kyung Cho; Seung Eun Lee; Min Jung Lee; Jenie Yoonoo Hwang; Eun Hee Kim; Joong-Yeol Park; Woo Je Lee; Hong-Kyu Kim
Journal:  PLoS One       Date:  2017-04-18       Impact factor: 3.240

5.  The effect of metabolic health and obesity phenotypes on risk of hypertension: A nationwide population-based study using 5 representative definitions of metabolic health.

Authors:  Simiao Tian; Yang Xu; Huimin Dong
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.817

6.  Association of Variability in Body Mass Index and Metabolic Health With Cardiometabolic Disease Risk.

Authors:  Todd R Sponholtz; Edwin R van den Heuvel; Vanessa Xanthakis; Ramachandran S Vasan
Journal:  J Am Heart Assoc       Date:  2019-04-02       Impact factor: 5.501

7.  Sex specific impact of different obesity phenotypes on the risk of incident hypertension: Tehran lipid and glucose study.

Authors:  Maryam Kabootari; Samaneh Akbarpour; Fereidoun Azizi; Farzad Hadaegh
Journal:  Nutr Metab (Lond)       Date:  2019-02-27       Impact factor: 4.169

8.  Prognostic Value of Triglyceride and Glucose Index for Incident Type 2 Diabetes beyond Metabolic Health and Obesity.

Authors:  Hwi Seung Kim; Jiwoo Lee; Yun Kyung Cho; Eun Hee Kim; Min Jung Lee; Hong-Kyu Kim; Joong-Yeol Park; Woo Je Lee; Chang Hee Jung
Journal:  Endocrinol Metab (Seoul)       Date:  2021-10-21

9.  Incidence of components of metabolic syndrome in the metabolically healthy obese over 9 years follow-up: the Atherosclerosis Risk In Communities study.

Authors:  P T Bradshaw; K R Reynolds; L E Wagenknecht; C E Ndumele; J Stevens
Journal:  Int J Obes (Lond)       Date:  2017-10-09       Impact factor: 5.095

Review 10.  An Overview of Metabolic Phenotyping in Blood Pressure Research.

Authors:  Ioanna Tzoulaki; Aikaterini Iliou; Emmanuel Mikros; Paul Elliott
Journal:  Curr Hypertens Rep       Date:  2018-07-10       Impact factor: 5.369

  10 in total

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