Literature DB >> 25711528

Android Adiposity and Lack of Moderate and Vigorous Physical Activity Are Associated With Insulin Resistance and Diabetes in Aging Adults.

Mark D Peterson1, Soham Al Snih2, José A Serra-Rexach3, Charles Burant4.   

Abstract

BACKGROUND: Physical inactivity and excess adiposity are thought to be interdependent "lifestyle" factors and thus, many older adults are at exaggerated risk for preventable diseases. The purposes of this study were to determine the degree of discordance between body mass index (BMI) and adiposity among adults older than 50 years, and to determine the extent to which direct measures of adiposity, and objectively measured sedentary behavior (SB) and physical activity (PA) are associated with insulin resistance (IR) or diabetes.
METHODS: A population representative sample of 2,816 individuals, aged 50-85 years, was included from the combined 2003-2006 National Health and Nutrition Examination Survey (NHANES) datasets. BMI, percent body fat (%BF) and android adiposity as determined by dual energy x-ray absorptiometry, objectively measured SB and PA, established markers of cardiometabolic risk, IR, and type 2 diabetes were analyzed.
RESULTS: Approximately 50% of the men and 64% of the women who were normal weight according to BMI had excessive %BF. Adults with the least SB and greatest moderate and vigorous PA exhibited the healthiest cardiometabolic profiles, whereas adults with the greatest SB and lowest activity had highest risk. Greater android adiposity stores were robustly associated with IR or diabetes in all adults, independent of SB and activity. Among men, less moderate-to-vigorous PA was associated with IR or diabetes; whereas among women, less lifestyle moderate activity was associated with IR or diabetes.
CONCLUSIONS: Android adiposity and low moderate and vigorous PA are the strongest predictors of IR or diabetes among aging adults.
© The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Android adiposity; Diabetes; Insulin resistance; MVPA; Obesity; Sedentary behavior

Mesh:

Year:  2015        PMID: 25711528      PMCID: PMC4506315          DOI: 10.1093/gerona/glv002

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  42 in total

1.  Amount of time spent in sedentary behaviors in the United States, 2003-2004.

Authors:  Charles E Matthews; Kong Y Chen; Patty S Freedson; Maciej S Buchowski; Bettina M Beech; Russell R Pate; Richard P Troiano
Journal:  Am J Epidemiol       Date:  2008-02-25       Impact factor: 4.897

2.  Musculoskeletal deterioration in men accompanies increases in body fat.

Authors:  Julie A Pasco; Haslinda Gould; Sharon L Brennan; Geoff C Nicholson; Mark A Kotowicz
Journal:  Obesity (Silver Spring)       Date:  2013-12-02       Impact factor: 5.002

3.  An obesity paradox in acute heart failure: analysis of body mass index and inhospital mortality for 108,927 patients in the Acute Decompensated Heart Failure National Registry.

Authors:  Gregg C Fonarow; Preethi Srikanthan; Maria Rosa Costanzo; Guillermo B Cintron; Margarita Lopatin
Journal:  Am Heart J       Date:  2007-01       Impact factor: 4.749

4.  Obesity paradox and cardiorespiratory fitness in 12,417 male veterans aged 40 to 70 years.

Authors:  Paul A McAuley; Peter F Kokkinos; Ricardo B Oliveira; Brian T Emerson; Jonathan N Myers
Journal:  Mayo Clin Proc       Date:  2010-02       Impact factor: 7.616

Review 5.  Mechanisms and metabolic implications of regional differences among fat depots.

Authors:  Tamara Tchkonia; Thomas Thomou; Yi Zhu; Iordanes Karagiannides; Charalabos Pothoulakis; Michael D Jensen; James L Kirkland
Journal:  Cell Metab       Date:  2013-04-11       Impact factor: 27.287

6.  Accuracy of body mass index in diagnosing obesity in the adult general population.

Authors:  A Romero-Corral; V K Somers; J Sierra-Johnson; R J Thomas; M L Collazo-Clavell; J Korinek; T G Allison; J A Batsis; F H Sert-Kuniyoshi; F Lopez-Jimenez
Journal:  Int J Obes (Lond)       Date:  2008-02-19       Impact factor: 5.095

7.  Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality.

Authors:  Abel Romero-Corral; Virend K Somers; Justo Sierra-Johnson; Yoel Korenfeld; Simona Boarin; Josef Korinek; Michael D Jensen; Gianfranco Parati; Francisco Lopez-Jimenez
Journal:  Eur Heart J       Date:  2009-11-20       Impact factor: 29.983

8.  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

9.  Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults.

Authors:  Katherine M Flegal; John A Shepherd; Anne C Looker; Barry I Graubard; Lori G Borrud; Cynthia L Ogden; Tamara B Harris; James E Everhart; Nathaniel Schenker
Journal:  Am J Clin Nutr       Date:  2008-12-30       Impact factor: 7.045

Review 10.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

View more
  6 in total

1.  Adiposity assessed by anthropometric measures has a similar or greater predictive ability than dual-energy X-ray absorptiometry measures for abdominal aortic calcification in community-dwelling older adults.

Authors:  Xianwen Shang; David Scott; Allison Hodge; Belal Khan; Nayab Khan; Dallas R English; Graham G Giles; Peter R Ebeling; Kerrie M Sanders
Journal:  Int J Cardiovasc Imaging       Date:  2016-05-31       Impact factor: 2.357

2.  The association between sedentary behaviour, physical activity and type 2 diabetes markers: A systematic review of mixed analytic approaches.

Authors:  Francesca Romana Cavallo; Caroline Golden; Jonathan Pearson-Stuttard; Catherine Falconer; Christofer Toumazou
Journal:  PLoS One       Date:  2022-05-11       Impact factor: 3.752

3.  The Association between Body Composition using Dual energy X-ray Absorptiometry and Type-2 Diabetes: A Systematic Review and Meta-Analysis of Observational studies.

Authors:  Preeti Gupta; Carla Lanca; Alfred T L Gan; Pauline Soh; Sahil Thakur; Yijin Tao; Neelam Kumari; Ryan E K Man; Eva K Fenwick; Ecosse L Lamoureux
Journal:  Sci Rep       Date:  2019-09-02       Impact factor: 4.379

4.  The impact of long-term changes in metabolic status on cardiovascular biomarkers and microvascular endothelial function in middle-aged men: a 25-year prospective study.

Authors:  Magdalena Kwaśniewska; Joanna Kozińska; Elżbieta Dziankowska-Zaborszczyk; Tomasz Kostka; Anna Jegier; Ewa Rębowska; Milena Orczykowska; Joanna Leszczyńska; Wojciech Drygas
Journal:  Diabetol Metab Syndr       Date:  2015-09-17       Impact factor: 3.320

5.  Endotoxins are associated with visceral fat mass in type 1 diabetes.

Authors:  Mariann I Lassenius; Aila J Ahola; Valma Harjutsalo; Carol Forsblom; Per-Henrik Groop; Markku Lehto
Journal:  Sci Rep       Date:  2016-12-13       Impact factor: 4.379

6.  Android Fat Deposition and Its Association With Cardiovascular Risk Factors in Overweight Young Males.

Authors:  Carolina Ika Sari; Nina Eikelis; Geoffrey A Head; Markus Schlaich; Peter Meikle; Gavin Lambert; Elisabeth Lambert
Journal:  Front Physiol       Date:  2019-09-18       Impact factor: 4.566

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.