Literature DB >> 18433666

A comparison of subjective and objective measures of physical activity and fitness in identifying associations with cardiometabolic risk factors.

Michael D Schmidt1, Verity J Cleland, Russell J Thomson, Terence Dwyer, Alison J Venn.   

Abstract

PURPOSE: To compare the ability of alternative measures of physical activity and fitness to quantify associations with health outcomes.
METHODS: Associations between a range of subjective and objective physical activity and fitness measures and cardiometabolic risk factors were examined using data from 1,631 Australians aged 26-36 years. Anthropometry, fitness, blood pressure, and fasting blood glucose, insulin, and lipids were measured at study clinics. Participants completed the International Physical Activity Questionnaire (IPAQ) and 7-day pedometer diaries; they also reported sedentary behavior (sitting, television viewing).
RESULTS: In men and women, associations were strongest for fitness, with those in the highest (vs. lowest) fitness quarter having a 75% to 80% lower prevalence of two or more primary risk factors (waist circumference, high-density lipoprotein cholesterol, and insulin resistance). In men, a 60% to 70% reduced prevalence of two or more risk factors was observed across extreme quarters of IPAQ leisure, IPAQ vigorous, sitting duration, and pedometer measures. Similar reductions in prevalence were observed only across extreme quarters of pedometer activity and television viewing in women.
CONCLUSIONS: Associations between alternative measures and cardiometabolic risk were relatively independent, suggesting that a range of physical activity and fitness measures may be needed to most accurately quantify associations between physical activity and health.

Entities:  

Mesh:

Year:  2008        PMID: 18433666     DOI: 10.1016/j.annepidem.2008.01.005

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  29 in total

1.  Accelerometer use in a physical activity intervention trial.

Authors:  Melissa A Napolitano; Kelley E Borradaile; Beth A Lewis; Jessica A Whiteley; Jaime L Longval; Alfred F Parisi; Anna E Albrecht; Christopher N Sciamanna; John M Jakicic; George D Papandonatos; Bess H Marcus
Journal:  Contemp Clin Trials       Date:  2010-08-17       Impact factor: 2.226

2.  The impact of combined health factors on cardiovascular disease mortality.

Authors:  Jonathan A Mitchell; Daniel B Bornstein; Xuemei Sui; Steven P Hooker; Timothy S Church; Chong D Lee; Duck-Chul Lee; Steven N Blair
Journal:  Am Heart J       Date:  2010-07       Impact factor: 4.749

Review 3.  The association between time spent in sedentary behaviors and blood pressure: a systematic review and meta-analysis.

Authors:  Paul H Lee; Frances K Y Wong
Journal:  Sports Med       Date:  2015-06       Impact factor: 11.136

4.  Reproducibility and validity of the Italian version of the International Physical Activity Questionnaire in obese and diabetic patients.

Authors:  M A Minetto; G Motta; N E Gorji; D Lucini; G Biolo; F Pigozzi; P Portincasa; N A Maffiuletti
Journal:  J Endocrinol Invest       Date:  2017-08-19       Impact factor: 4.256

5.  Association between hearing impairment and lower levels of physical activity in older adults.

Authors:  Fiona E Gispen; David S Chen; Dane J Genther; Frank R Lin
Journal:  J Am Geriatr Soc       Date:  2014-07-15       Impact factor: 5.562

6.  Physical activity type and intensity among rural breast cancer survivors: patterns and associations with fatigue and depressive symptoms.

Authors:  Laura Q Rogers; Stephen J Markwell; Kerry S Courneya; Edward McAuley; Steven Verhulst
Journal:  J Cancer Surviv       Date:  2010-11-26       Impact factor: 4.442

7.  Oral contraceptive use and bone mass in women aged 26-36 years.

Authors:  S Wei; G Jones; R Thomson; T Dwyer; A Venn
Journal:  Osteoporos Int       Date:  2010-02-27       Impact factor: 4.507

Review 8.  A review of the effectiveness of physical activity interventions for adult males.

Authors:  Emma S George; Gregory S Kolt; Mitch J Duncan; Cristina M Caperchione; W Kerry Mummery; Corneel Vandelanotte; Pennie Taylor; Manny Noakes
Journal:  Sports Med       Date:  2012-04-01       Impact factor: 11.136

9.  Which is the best activity rating scale for patients undergoing total joint arthroplasty?

Authors:  Florian D Naal; Franco M Impellizzeri; Michael Leunig
Journal:  Clin Orthop Relat Res       Date:  2008-06-28       Impact factor: 4.176

10.  Physical inactivity interacts with an endothelial lipase polymorphism to modulate high density lipoprotein cholesterol in the GOLDN study.

Authors:  Caren E Smith; Donna K Arnett; Michael Y Tsai; Chao-Qiang Lai; Laurence D Parnell; Jian Shen; Martin Laclaustra; Mireia Junyent; José M Ordovás
Journal:  Atherosclerosis       Date:  2009-03-25       Impact factor: 5.162

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.