Physical activity and physical fitness: standardizing assessment with the PhenX Toolkit

• Published in: American journal of preventive medicine Vol. 42; no. 5; pp. 486 - 492
• Main Authors: Haskell, William L, Troiano, Richard P, Hammond, Jane A, Phillips, Michael J, Strader, Lisa C, Marquez, David X, Grant, Struan F, Ramos, Erin
• Format: Journal Article
• Language: English
• Published: Netherlands 01.05.2012
• Subjects: Adolescent; Adolescents; Adult; Age Factors; Aged; Child; Child, Preschool; Children; Data Collection - methods; Data Collection - standards; Exercise; Experts; Female; Health Status Indicators; Humans; Male; Middle Aged; Phenotype; Phenotypes; Physical activity; Physical Fitness; Technology; Web sites; Working groups; Young Adult
• ISSN: 0749-3797; 1873-2607
• DOI: 10.1016/j.amepre.2011.11.017

The focus of the PhenX (Phenotypes and eXposures) Toolkit is to provide researchers whose expertise lies outside a particular area with key measures identified by experts for uniform use in large-scale genetic studies and other extensive epidemiologic efforts going forward. The current paper specifically addresses the PhenX Toolkit research domain of physical activity and physical fitness (PA/PF), which are often associated with health outcomes. A Working Group (WG) of content experts completed a 6-month consensus process in which they identified a set of 14 high-priority, low-burden, and scientifically supported measures. During this process, the WG considered self-reported and objective measures that included the latest technology (e.g., accelerometers, pedometers, and heart-rate monitors). They also sought the input of measurement experts and other members of the research community during their deliberations. A majority of the measures include protocols for children (or adolescents), adults, and older adults or are applicable to all ages. Measures from the PA/PF domain and 20 other domains are publicly available and found at the PhenX Toolkit website, www.phenxtoolkit.org. The use of common measures and protocols across large studies enhances the capacity to combine or compare data across studies, benefiting both PA/PF experts and non-experts. Use of these common measures by the research community should increase statistical power and enhance the ability to answer scientific questions that previously might have gone unanswered.