Literature DB >> 26841729

Misclassification of cardiometabolic health when using body mass index categories in NHANES 2005-2012.

A J Tomiyama1, J M Hunger2, J Nguyen-Cuu1, C Wells3.   

Abstract

The United States Equal Employment Opportunity Commission has proposed rules allowing employers to penalize employees up to 30% of health insurance costs if they fail to meet 'health' criteria, such as reaching a specified body mass index (BMI). Our objective was to examine cardiometabolic health misclassifications given standard BMI categories. Participants (N=40 420) were individuals aged 18+ in the nationally representative 2005-2012 National Health and Nutrition Examination Survey. Using the blood pressure, triglyceride, cholesterol, glucose, insulin resistance and C-reactive protein data, population frequencies/percentages of metabolically healthy versus unhealthy individuals were stratified by BMI. Nearly half of overweight individuals, 29% of obese individuals and even 16% of obesity type 2/3 individuals were metabolically healthy. Moreover, over 30% of normal weight individuals were cardiometabolically unhealthy. There was no significant race-by-BMI interaction, but there was a significant gender-by-BMI interaction, F(4,64)=3.812, P=0.008. Using BMI categories as the main indicator of health, an estimated 74 936 678 US adults are misclassified as cardiometabolically unhealthy or cardiometabolically healthy. Policymakers should consider the unintended consequences of relying solely on BMI, and researchers should seek to improve diagnostic tools related to weight and cardiometabolic health.

Entities:  

Mesh:

Year:  2016        PMID: 26841729     DOI: 10.1038/ijo.2016.17

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  16 in total

Review 1.  Changing the endpoints for determining effective obesity management.

Authors:  Robert Ross; Steve Blair; Louise de Lannoy; Jean-Pierre Després; Carl J Lavie
Journal:  Prog Cardiovasc Dis       Date:  2014-10-25       Impact factor: 8.194

2.  Occurrence and timing of childhood overweight and mortality: findings from the Third Harvard Growth Study.

Authors:  Aviva Must; Sarah M Phillips; Elena N Naumova
Journal:  J Pediatr       Date:  2011-12-17       Impact factor: 4.406

3.  Current issues in the identification and treatment of metabolically healthy but obese individuals.

Authors:  G Plourde; A D Karelis
Journal:  Nutr Metab Cardiovasc Dis       Date:  2014-01-12       Impact factor: 4.222

Review 4.  Fitness vs. fatness on all-cause mortality: a meta-analysis.

Authors:  Vaughn W Barry; Meghan Baruth; Michael W Beets; J Larry Durstine; Jihong Liu; Steven N Blair
Journal:  Prog Cardiovasc Dis       Date:  2013-10-11       Impact factor: 8.194

5.  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).

Authors:  Rachel P Wildman; Paul Muntner; Kristi Reynolds; Aileen P McGinn; Swapnil Rajpathak; Judith Wylie-Rosett; MaryFran R Sowers
Journal:  Arch Intern Med       Date:  2008-08-11

6.  The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness.

Authors:  Francisco B Ortega; Duck-Chul Lee; Peter T Katzmarzyk; Jonatan R Ruiz; Xuemei Sui; Timothy S Church; Steven N Blair
Journal:  Eur Heart J       Date:  2012-09-04       Impact factor: 29.983

Review 7.  A review and meta-analysis of the effect of weight loss on all-cause mortality risk.

Authors:  Mary Harrington; Sigrid Gibson; Richard C Cottrell
Journal:  Nutr Res Rev       Date:  2009-06       Impact factor: 7.800

Review 8.  Impact of weight bias and stigma on quality of care and outcomes for patients with obesity.

Authors:  S M Phelan; D J Burgess; M W Yeazel; W L Hellerstedt; J M Griffin; M van Ryn
Journal:  Obes Rev       Date:  2015-03-05       Impact factor: 9.213

Review 9.  The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.

Authors:  Daphne P Guh; Wei Zhang; Nick Bansback; Zubin Amarsi; C Laird Birmingham; Aslam H Anis
Journal:  BMC Public Health       Date:  2009-03-25       Impact factor: 3.295

10.  Moving Focus from Weight to Health. What Are the Components Used in Interventions to Improve Cardiovascular Health in Children?

Authors:  Claire Friedemann Smith; Carl Heneghan; Alison Ward
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

View more
  67 in total

1.  Psoas and paraspinous muscle index as a predictor of mortality in African American men with type 2 diabetes mellitus.

Authors:  Mariana Murea; Leon Lenchik; Thomas C Register; Gregory B Russell; Jianzhao Xu; S Carrie Smith; Donald W Bowden; Jasmin Divers; Barry I Freedman
Journal:  J Diabetes Complications       Date:  2018-03-19       Impact factor: 2.852

2.  Frailty, Implantable Cardioverter Defibrillators, and Mortality: a Systematic Review.

Authors:  Michael Y Chen; Ariela R Orkaby; Michael A Rosenberg; Jane A Driver
Journal:  J Gen Intern Med       Date:  2019-07-01       Impact factor: 5.128

3.  Weight-related stigma and health policy.

Authors:  Patricia Thille; May Friedman; Jenny Setchell
Journal:  CMAJ       Date:  2017-02-13       Impact factor: 8.262

4.  Body size phenotypes comprehensively assess cardiometabolic risk and refine the association between obesity and gut microbiota.

Authors:  J de la Cuesta-Zuluaga; V Corrales-Agudelo; J A Carmona; J M Abad; J S Escobar
Journal:  Int J Obes (Lond)       Date:  2017-11-16       Impact factor: 5.095

5.  Comparing Analytical Methods for the Gut Microbiome and Aging: Gut Microbial Communities and Body Weight in the Osteoporotic Fractures in Men (MrOS) Study.

Authors:  Michelle Shardell; Neeta Parimi; Lisa Langsetmo; Toshiko Tanaka; Lingjing Jiang; Eric Orwoll; James M Shikany; Deborah M Kado; Peggy M Cawthon
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-06-18       Impact factor: 6.053

6.  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

7.  Moving to a personalized medicine approach to promote health across the weight spectrum.

Authors:  J M Hunger; A J Tomiyama; J Nguyen-Cuu; C Wells
Journal:  Int J Obes (Lond)       Date:  2016-05-20       Impact factor: 5.095

Review 8.  Genes that make you fat, but keep you healthy.

Authors:  R J F Loos; T O Kilpeläinen
Journal:  J Intern Med       Date:  2018-10-02       Impact factor: 8.989

9.  Race and Sex Differences in the Association between Food Insecurity and Type 2 Diabetes.

Authors:  Sabrina Strings; Yamini K Ranchod; Barbara Laraia; Amani Nuru-Jeter
Journal:  Ethn Dis       Date:  2016-07-21       Impact factor: 1.847

10.  Religious Attendance and Body Mass: An Examination of Variations by Race and Gender.

Authors:  Dawn Godbolt; Preeti Vaghela; Amy M Burdette; Terrence D Hill
Journal:  J Relig Health       Date:  2018-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.