). However, compared with accelerometer-based methods, clearly less knowledge exists about the relationship between single self-report questions for physical activity assessment and physical performance including muscular fitness. The few studies that have been conducted have focused on the older adults
Validity and Reliability of a Single Question for Leisure-Time Physical Activity Assessment in Middle-Aged Women
Matti Hyvärinen, Sarianna Sipilä, Janne Kulmala, Harto Hakonen, Tuija H. Tammelin, Urho M. Kujala, Vuokko Kovanen, and Eija K. Laakkonen
Developmental and Adapted Physical Activity Assessment, 2nd Edition
Edited by Michael Horvat, Luke Kelly, Martin Block, and Ron Croce. Published 2019 by Human Kinetics, Champaign, IL. $67.00 , 280 pp., ISBN 978-1-4925-4380-0 Developmental and Adapted Physical Activity Assessment , by Michael Horvat, Luke Kelly, Martin Block, and Ron Croce, now in its second
Evaluation of Physical Activity Assessment Using a Triaxial Activity Monitor in Community-Dwelling Older Japanese Adults With and Without Lifestyle-Related Diseases
Sho Nagayoshi, Harukaze Yatsugi, Xin Liu, Takafumi Saito, Koji Yamatsu, and Hiro Kishimoto
Physical activity has been assessed for various objectives, including health promotion, prevention of lifestyle-related diseases and frailty, and improvement of physical functions. In addition to such objectives, there is a need for physical activity assessment in older people in Japan, a country
Developmental and Adapted Physical Activity Assessment
Translation of the International Physical Activity Questionnaire to Maltese and Reliability Testing
Karl Spiteri, Kate Grafton, John Xerri de Caro, and David Broom
The International Physical Activity Questionnaire (IPAQ) is a widely used self-reported physical activity (PA) measure developed to allow for international cross-country comparisons. Due to its unavailability, the aim of this study was to translate the IPAQ-long to Maltese and undertake reliability testing. The IPAQ-long English version was translated into Maltese following the IPAQ guidelines, which included backwards translation. Maltese-speaking participants, aged between 18 and 69 years, were recruited through convenience sampling (n = 170). Participants completed the IPAQ-long twice within an 8- to 48-hr period. PA was calculated in MET minutes per week, and reliability was calculated using the Spearman correlation, intraclass correlation coefficient, concordance correlation coefficient, and Bland–Altman plots. A total of 155 participants completed the questionnaire at two time points. Spearman correlation was .83 (.76–.88) for total PA and .84 (.77–.89) for total sitting time. The intraclass correlation coefficient was .83 (.76–.88) and the concordance correlation coefficient was .75–.87 for total PA. The lowest reliability was for total transport, with a concordance correlation coefficient of .21−.45. Bland–Altman plots highlight that 95% of the differences fell within 2 SDs from the mean. Since the Maltese IPAQ-long has similar reliability to the English version, the authors recommend that health care professionals and PA practitioners use this tool when examining population-level PA among Maltese-speaking individuals.
A New Self-Reported Comprehensive Historical Activity Questionnaire for Young Women
Marianne S. Eagan, Roseann M. Lyle, George P. McCabe, and Dorothy Teegarden
Assessing past activity in study populations is important in health-related research. This study examined intrasubject stability of a comprehensive, self-administered Historical Activity Questionnaire (HAQ) developed for women, age 18 to 30 y, participating in a larger (N = 153) intervention.
Volunteers (n = 31) completed the HAQ at baseline and 6.5 months. Activity, (h/d) and metabolic equivalent (MET)-h/d, was divided into elementary, middle, high school, occupation, athletics, leisure, and exercise impact levels and loading.
(MET-h/d) cumulative, past activity test–retest was r = 0.76. Highest stability was in total athletic participation (r = 0.82), and impact 3 (r = 0.87). Loading test–retest was r = 0.51.
The HAQ provides a moderately stable, user-friendly instrument for documenting past activity in young women, particularly for past athletic and high-impact activity recall. The addition of impact and loading activity makes this questionnaire unique, and provides a model for inclusion of these components in other activity questionnaires.
Physical Activity and Physical Fitness: Weighing the Relative Importance of Each
Sharon Ann Plowman
The last decade has seen a shift in emphasis from the goal of attaining physical fitness (a product) to the behavior of physical activity (a process) to achieve health benefits. A central question is whether the achievement of physical fitness (PF) is necessary or if participation in physical activity (PA) is sufficient. Three basic tenets of this shift are examined by using representative studies. They are: (1) both PA and PF will lead to health benefits; PF is simply a surrogate measure for PA, (2) the impact of genetics will be avoided if PA, not PF, is emphasized and that is desirable, and (3) it is easier to motivate “the masses” to accumulate lifestyle moderate activity than to undergo a vigorous exercise prescription. Results indicate that PA and PF might be independent risk factors, that both have a degree of genetic determination, and that participation rates for PA have changed little and remain insufficient. Both PA and PF need to be evaluated, promoted, and attained.
Objective Versus Self-Reported Physical Activity in Overweight and Obese Young Adults
John M. Jakicic, Wendy C. King, Bethany Barone Gibbs, Renee J. Rogers, Amy D. Rickman, Kelliann K. Davis, Abdus Wahed, and Steven H. Belle
To compare moderate-to-vigorous intensity physical activity (MVPA) assessed via questionnaires to an objective measure of MVPA in overweight or obese young adults.
MVPA was assessed in 448 [median BMI = 31.2 (Interquartile Range: 28.5–34.3) kg/m2] young adults [median age: 30.9 (Interquartile Range: 27.8–33.7) years]. Measures included the SenseWear Armband (MVPAOBJ), the Paffenbarger Questionnaire (MVPAPAFF), and the Global Physical Activity Questionnaire (GPAQ). The GPAQ was used to compute total MVPA (MVPAGPAQ-TOTAL) and MVPA from transportation and recreation (MVPAGPAQ-REC).
The association between MVPAOBJ and MVPAPAFF was r s = 0.40 (P < .0001). Associations between MVPAOBJ and MVPAGPAQ-TOTAL and MVPAGPAQ-REC were r s = 0.19 and r s = 0.32, respectively (P < .0001). MVPAGPAQ-TOTAL was significantly greater than MVPAOBJ (P < .0001). Median differences in MET-min/week between MVPAOBJ and MVPAPAFF or MVPAGPAQ-REC were not significantly different from zero. There was proportional bias between each self-reported measure of MVPA and MVPAOBJ. There were significant associations between all measures of MVPA and fitness. MVPAOBJ was significantly associated with BMI and percent body fat.
Objective and self-reported measures of MVPA are weakly to moderately correlated, with substantial differences between measures. MVPAOBJ provided predictive validity with fitness, BMI, and percent body fat. Thus, an objective measure of MVPA may be preferred to self-report in young adults.
Integration of Report-Based Methods to Enhance the Interpretation of Monitor-Based Research: Results From the Free-Living Activity Study for Health Project
Nicholas R. Lamoureux, Paul R. Hibbing, Charles Matthews, and Gregory J. Welk
agreement. Thus, the weaker associations for overall LPA may be driven by poor agreement for a few specific activities (e.g., shopping), and added context can help point researchers toward these specific activities to help refine activity assessment methods and algorithms. The incorporation of ACT24 in the
Agreement Between GT3X Accelerometer and ActivPAL Inclinometer for Estimating and Detecting Changes in Different Contexts of Sedentary Time Among Adolescents
Danilo R. Silva, Cláudia S. Minderico, Pedro B. Júdice, André O. Werneck, David Ohara, Edilson S. Cyrino, and Luís B. Sardinha
.1186/s12966-018-0652-x 10.1186/s12966-018-0652-x 29482617 7. Ainsworth B , Cahalin L , Buman M , Ross R . The current state of physical activity assessment tools . Prog Cardiovasc Dis . 2015 ; 57 ( 4 ): 387 – 395 . PubMed ID: 25446555 doi:10.1016/j.pcad.2014.10.005 10.1016/j.pcad.2014