quantify subject-specific running patterns, a composite index was calculated based on methods described by Saisana and Tarantola. 31 The mean ( μ Typical ) and SD ( σ Typical ) of each Lumo Run® biomechanical variable for each runner in his or her typical run section were first calculated. Then, for each
Christian A. Clermont, Lauren C. Benson, W. Brent Edwards, Blayne A. Hettinga and Reed Ferber
Catrine Tudor-Locke and Elroy J. Aguiar
(steps/min) • Duration: min of stepping Composite index • Peak 30-min cadence (steps/min) Frequency The number of sessions or bouts of physical activity performed per day or per week. • Count of sessions or bouts per day or week • Daily patterns of stepping in cadence bands • Weekly average of steps
Morgan N. Clennin and Russell R. Pate
levels: “Healthy Fitness Zone” or “Needs Improvement.” 25 Neighborhood SED Neighborhood was defined as a participant’s census tract of residence . A composite index score at the census tract level was created using objectively measured data from the American Community Survey 5-year estimates 2011
Elizabeth A. Kelley, Namratha R. Kandula, Alka M. Kanaya and Irene H. Yen
The neighborhood built environment can have a strong influence on physical activity levels, particularly walking for transport. In examining racial/ethnic differences in physical activity, one important and understudied group is South Asians. This study aims to describe the association between neighborhood walkability and walking for transport among South Asian men and women in the United States in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study.
A cross-sectional study was conducted in 2014 using the baseline dataset of the MASALA study (N = 906). Mean age was 55 years old and 54% of the sample was male. Weekly minutes spent walking for transport was assessed using a questionnaire adapted from the Cross-Cultural Activity Participation Study. Neighborhood walkability was measured using Walk Score, a composite index of walkability.
After adjusting for covariates, with each 10-point increase in Walk Score, South Asian American men engaged in 13 additional minutes per week of walking for transport (P = .008). No association was observed between walkability and walking for transport in South Asian American women.
Results provide new evidence for how the effects of environmental influences on walking for transport may vary between South Asian men and women.
Francisco J. Vera-Garcia, Diego López-Plaza, Casto Juan-Recio and David Barbado
et al. 9 The best trial of each condition (ie, lower mean radial error) and an unstable dynamic composite index (the averaged mean radial error of the 3 unstable dynamic tasks) were used for the reliability and correlational analysis. Statistical Analyses After confirming the normality of the
Anne Holding, Jo-Annie Fortin, Joëlle Carpentier, Nora Hope and Richard Koestner
true” (7). A composite index of SWB was calculated with the mean standardized scores of positive affect, reversed negative affect, and satisfaction with life at all four time points. Motivation for sport At T1 participants completed a 10-item abbreviated version of the Sport Motivation Scale (SMS
Christoph Buck, Anca Bolbos and Sven Schneider
few items (<5) are on the ground,” 2 (mediocre) when “several items (5–10) are on the ground,” and 3 (poor) when “many items are on the ground (11+).” In accordance with Lee et al, 18 a composite index was created. For each playground, the quality score was based on the sum of features’ ratings
Mika R. Moran, Perla Werner, Israel Doron, Neta HaGani, Yael Benvenisti, Abby C. King, Sandra J. Winter, Jylana L. Sheats, Randi Garber, Hadas Motro and Shlomit Ergon
wellbeing outcomes. Finally, from a social policy perspective, this study supports existing calls for developing healthy and age-friendly cities through the investment in urban greenery and aesthetics. 1 A composite index calculated per area administrative units that integrates information regarding
Salomé Aubert, Joel D. Barnes, Nicolas Aguilar-Farias, Greet Cardon, Chen-Kang Chang, Christine Delisle Nyström, Yolanda Demetriou, Lowri Edwards, Arunas Emeljanovas, Aleš Gába, Wendy Y. Huang, Izzeldin A.E. Ibrahim, Jaak Jürimäe, Peter T. Katzmarzyk, Agata Korcz, Yeon Soo Kim, Eun-Young Lee, Marie Löf, Tom Loney, Shawnda A. Morrison, Jorge Mota, John J. Reilly, Blanca Roman-Viñas, Natasha Schranz, John Scriven, Jan Seghers, Thomas Skovgaard, Melody Smith, Martyn Standage, Gregor Starc, Gareth Stratton, Tim Takken, Tuija Tammelin, Chiaki Tanaka, David Thivel, Richard Tyler, Alun Williams, Stephen H.S. Wong, Paweł Zembura and Mark S. Tremblay
physical, mental, social, and cognitive health outcomes. 4 – 7 The Human Development Index (HDI) is a composite index, ranging from 0 to 1, calculated using education, life expectancy, and per capita income. 8 This index was created by the United Nations Development Programme to rank countries on a scale
Silvia A. González, Joel D. Barnes, Patrick Abi Nader, Dolores Susana Andrade Tenesaca, Javier Brazo-Sayavera, Karla I. Galaviz, Marianella Herrera-Cuenca, Piyawat Katewongsa, Juan López-Taylor, Yang Liu, Bilyana Mileva, Angélica María Ochoa Avilés, Diego Augusto Santos Silva, Pairoj Saonuam and Mark S. Tremblay
United Nations Development Programme. The HDI is a composite index that integrates life expectancy, years of schooling, and gross national income per capita as basic dimensions of human development. 24 This study focuses on the group of countries with a high HDI, which are susceptible to the