Literature DB >> 27769609

Sedentary Time, Cardiorespiratory Fitness, and Cardiovascular Risk Factor Clustering in Older Adults--the Generation 100 Study.

Silvana B Sandbakk1, Javaid Nauman1, Nina Zisko1, Øyvind Sandbakk2, Nils Petter Aspvik3, Dorthe Stensvold1, Ulrik Wisløff4.   

Abstract

OBJECTIVE: To determine whether meeting physical activity (PA) recommendations and/or having high age-specific cardiorespiratory fitness (CRF) attenuate the adverse effect of prolonged sedentary time on cardiovascular risk factor (CV-RF) clustering in older adults. PATIENTS AND METHODS: We conducted a cross-sectional study of Norwegian women (495) and men (379) aged 70 to 77 years from August 22, 2012, through June 30, 2013. Sedentary time and PA were assessed by accelerometers and CRF by directly measured peak oxygen uptake (VO2peak). Logistic regression was used to estimate adjusted odds ratios (ORs) and CIs for the association between sedentary time and prevalence of CV-RF clustering (≥3 of the following: hypertension, high blood glucose level, high waist circumference, low high-density lipoprotein cholesterol level, or high triglyceride level) and for the modifying effect of PA and CRF.
RESULTS: Overall, 163 of the 495 women (32.9%) and 140 of the 379 men (36.9%) had CV-RF clustering. Each additional hour of sedentary time was associated with 22% (OR, 1.22; 95% CI, 1.02-1.45) and 27% (OR, 1.27; 95% CI, 1.04-1.55) higher likelihood of having CV-RF clustering in women and men, respectively, whereas a 1-metabolic equivalent decrement in VO2peak corresponded to 57% (OR, 1.57; 95% CI, 1.34-1.84) and 67% (OR, 1.67; 95% CI, 1.44-1.95) higher likelihood of CV-RF clustering in women and men, respectively. High CRF (VO2peak >27.5 mL/kg per minute in women and >34.4 mL/kg per minute in men) attenuated the adverse effects of high sedentary time on CV-RF clustering, even among individuals not meeting recommendations for PA.
CONCLUSION: High age-specific CRF fully attenuates the adverse effect of prolonged sedentary time on CV-RF clustering, independent of meeting the PA consensus recommendation in older adults.
Copyright © 2016 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27769609     DOI: 10.1016/j.mayocp.2016.07.020

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  8 in total

1.  Associations Between Age and Resting State Connectivity Are Partially Dependent Upon Cardiovascular Fitness.

Authors:  Charleen J Gust; Erin N Moe; Douglas R Seals; Marie T Banich; Jessica R Andrews-Hanna; Kent E Hutchison; Angela D Bryan
Journal:  Front Aging Neurosci       Date:  2022-04-20       Impact factor: 5.702

2.  Both Light Intensity and Moderate-to-Vigorous Physical Activity Measured by Accelerometry Are Favorably Associated With Cardiometabolic Risk Factors in Older Women: The Objective Physical Activity and Cardiovascular Health (OPACH) Study.

Authors:  Michael J LaMonte; Cora E Lewis; David M Buchner; Kelly R Evenson; Eileen Rillamas-Sun; Chongzhi Di; I-Min Lee; John Bellettiere; Marcia L Stefanick; Charles B Eaton; Barbara V Howard; Chloe Bird; Andrea Z LaCroix
Journal:  J Am Heart Assoc       Date:  2017-10-17       Impact factor: 5.501

3.  Are Gyms a Feasible Setting for Exercise Training Interventions in Patients with Cardiovascular Risk Factors? An Italian 10-Years Cross-Sectional Survey Comparison.

Authors:  Marco Vecchiato; Giulia Quinto; Stefano Palermi; Giulia Foccardi; Barbara Mazzucato; Francesca Battista; Federica Duregon; Federica Michieletto; Daniel Neunhaeuserer; Andrea Ermolao
Journal:  Int J Environ Res Public Health       Date:  2022-02-19       Impact factor: 4.614

4.  Obesity parameters, physical activity, and physical fitness are correlated with serum dipeptidyl peptidase IV activity in a healthy population.

Authors:  B Sanz; G Larrinaga; A Fernandez-Atucha; J Gil; A B Fraile-Bermudez; M Kortajarena; A Izagirre; P Martinez-Lage; J Irazusta
Journal:  Heliyon       Date:  2018-05-14

5.  Cardiorespiratory Fitness Is Inversely Associated With Clustering of Metabolic Syndrome Risk Factors: The Ball State Adult Fitness Program Longitudinal Lifestyle Study.

Authors:  Elizabeth Kelley; Mary T Imboden; Matthew P Harber; Holmes Finch; Leonard A Kaminsky; Mitchell H Whaley
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2018-05-08

6.  Combined Association of Cardiorespiratory Fitness and Body Fatness With Cardiometabolic Risk Factors in Older Norwegian Adults: The Generation 100 Study.

Authors:  Silvana B Sandbakk; Javaid Nauman; Carl J Lavie; Ulrik Wisløff; Dorthe Stensvold
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2017-05-12

7.  Device-Measured Sedentary Behavior, Physical Activity and Aerobic Fitness Are Independent Correlates of Cognitive Performance in Healthy Middle-Aged Adults-Results from the SCAPIS Pilot Study.

Authors:  Maria M Ekblom; Örjan B Ekblom; Mats Börjesson; Göran Bergström; Christina Jern; Anders Wallin
Journal:  Int J Environ Res Public Health       Date:  2019-12-16       Impact factor: 3.390

8.  Verification of Maximal Oxygen Uptake in Active Military Personnel During Treadmill Running.

Authors:  Peter S Figueiredo; David P Looney; J Luke Pryor; Elizabeth M Doughty; Holly L McClung; Sai V Vangala; William R Santee; Beth A Beidleman; Adam W Potter
Journal:  J Strength Cond Res       Date:  2022-04-01       Impact factor: 3.775

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.