Literature DB >> 10919958

Methodologic issues in measuring physical activity and physical fitness when evaluating the role of dietary supplements for physically active people.

W L Haskell1, M Kiernan.   

Abstract

Physical activity and physical fitness are complex entities comprising numerous diverse components that present a challenge in terms of accurate, reliable measurement. Physical activity can be classified by its mechanical (static or dynamic) or metabolic (aerobic or anaerobic) characteristics and its intensity (absolute or relative to the person's capacity). Habitual physical activity can be assessed by using a variety of questionnaires, diaries, or logs and by monitoring body movement or physiologic responses. Selection of a measurement method depends on the purpose of the evaluation, the nature of the study population, and the resources available. The various components of physical fitness can be assessed accurately in the laboratory and, in many cases, in the field by using a composite of performance tests. Most coaches and high-level athletes would accept as very beneficial a dietary supplement that would increase performance in a competitive event by even 3%; for example, lowering a runner's time of 3 min, 43 s in the 1500 m by 6.7 s. To establish that such small changes are caused by the dietary supplement requires carefully conducted research that involves randomized, placebo-controlled, double-blind studies designed to maximize statistical power. Statistical power can be increased by enlarging sample size, selecting tests with high reliability, selecting a potent but safe supplement, and maximizing adherence. Failure to design studies with adequate statistical power will produce results that are unreliable and will increase the likelihood that a true effect will be missed.

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Year:  2000        PMID: 10919958     DOI: 10.1093/ajcn/72.2.541S

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  13 in total

1.  Vitamin or supplement use among adults, behavioral risk factor surveillance system, 13 states, 2001.

Authors:  Lina S Balluz; Catherine A Okoro; Barbara A Bowman; Mary K Serdula; Ali H Mokdad
Journal:  Public Health Rep       Date:  2005 Mar-Apr       Impact factor: 2.792

2.  Moderate to high levels of exercise are associated with higher resting energy expenditure in community-dwelling postmenopausal women.

Authors:  Andrew W Froehle; Susan R Hopkins; Loki Natarajan; Margaret J Schoeninger
Journal:  Appl Physiol Nutr Metab       Date:  2013-05-27       Impact factor: 2.665

Review 3.  The effect of muscle-damaging exercise on blood and skeletal muscle oxidative stress: magnitude and time-course considerations.

Authors:  Michalis G Nikolaidis; Athanasios Z Jamurtas; Vassilis Paschalis; Ioannis G Fatouros; Yiannis Koutedakis; Dimitris Kouretas
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

4.  Positive Modulation Effect of 8-Week Consumption of Kaempferia parviflora on Health-Related Physical Fitness and Oxidative Status in Healthy Elderly Volunteers.

Authors:  Jintanaporn Wattanathorn; Supaporn Muchimapura; Terdthai Tong-Un; Narisara Saenghong; Wipawee Thukhum-Mee; Bungorn Sripanidkulchai
Journal:  Evid Based Complement Alternat Med       Date:  2012-07-31       Impact factor: 2.629

5.  Estimated physical activity in Bavaria, Germany, and its implications for obesity risk: results from the BVS-II Study.

Authors:  Nina Schaller; Henrike Seiler; Stephanie Himmerich; Georg Karg; Kurt Gedrich; Günther Wolfram; Jakob Linseisen
Journal:  Int J Behav Nutr Phys Act       Date:  2005-06-08       Impact factor: 6.457

6.  Gender comparisons of physical fitness indexes in Inner Mongolia medical students in China.

Authors:  Wenli Hao; He Yi; Zhiyue Liu; Yumin Gao; Yuki Eshita; Wenfang Guo; Hairong Zhang; Juan Sun
Journal:  Glob J Health Sci       Date:  2014-08-31

Review 7.  A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study.

Authors:  Kieran P Dowd; Robert Szeklicki; Marco Alessandro Minetto; Marie H Murphy; Angela Polito; Ezio Ghigo; Hidde van der Ploeg; Ulf Ekelund; Janusz Maciaszek; Rafal Stemplewski; Maciej Tomczak; Alan E Donnelly
Journal:  Int J Behav Nutr Phys Act       Date:  2018-02-08       Impact factor: 6.457

8.  Association of cardiorespiratory fitness and overweight with risk of type 2 diabetes in Japanese men.

Authors:  Keisuke Kuwahara; Akihiko Uehara; Kayo Kurotani; Ngoc Minh Pham; Akiko Nanri; Makoto Yamamoto; Tetsuya Mizoue
Journal:  PLoS One       Date:  2014-06-04       Impact factor: 3.240

9.  A Persuasive and Social mHealth Application for Physical Activity: A Usability and Feasibility Study.

Authors:  Soleh U Al Ayubi; Bambang Parmanto; Robert Branch; Dan Ding
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-22       Impact factor: 4.773

10.  Pedometer-determined physical activity profile of healthcare professionals in a Nigerian tertiary hospital.

Authors:  Oluwatoyosi Owoeye; Adetipe Tomori; Sunday Akinbo
Journal:  Niger Med J       Date:  2016 Mar-Apr
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