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The Short Questionnaire to Assess Health-Enhancing (SQUASH) Physical Activity in Adolescents: A Validation Using Doubly Labeled Water

Nerissa Campbell, Anca Gaston, Casey Gray, Elaine Rush, Ralph Maddison, and Harry Prapavessis

Background:

Accurate assessment of physical activity energy expenditure (PAEE) among adolescents is important for surveillance, evaluating interventions, and understanding the relation between energy balance and normal physiological and behavioral growth and development. The purpose of this study was to examine the validity of the Short Questionnaire to Assess Health-Enhancing Physical Activity (SQUASH)13 for measuring PAEE among adolescents.

Methods:

The participants were seventeen adolescents (9 females; Mean age = 17.53; SD = 0.62). Energy expenditure was measured during a 9-day period with doubly labeled water (DLW). The SQUASH was self-administered on the morning of the 10th day and assessed commuting activities, leisure time activities, household activities, and activities at work and school over the previous 9 days.

Results:

A Bland-Altman plot indicated that the SQUASH underestimated PAEE compared with DLW by a mean difference of 126 kcal·d−1 (95% limits of agreement: –1,207 to 1,459 kcal·d−1), representative of a 10% underestimation. The Spearman rank order correlation coefficient showed there was a significant association between the SQUASH and DLW (r = .50, P = .04), for estimating PAEE.

Conclusion:

When using a sample of highly active adolescents, the SQUASH is a valid self-report tool for measuring PAEE at the group and individual rank order level.

Open access

Physical Activity Levels, Correlates, and All-Cause Mortality Risk in People Living With Different Health Conditions

Jenny M. Marks-Vieveen, Léonie Uijtdewilligen, Ehsan Motazedi, Dominique P.M. Stijnman, Inge van den Akker-Scheek, Adrie J. Bouma, Laurien M. Buffart, Vincent de Groot, Ellen de Hollander, Judith G.M. Jelsma, Johan de Jong, Helco G. van Keeken, Leonie A. Krops, Marike van der Leeden, Stephan A. Loer, Willem van Mechelen, Femke van Nassau, Joske Nauta, Evert Verhagen, Wanda Wendel-Vos, Lucas H.V. van der Woude, Johannes Zwerver, Rienk Dekker, and Hidde P. van der Ploeg

(SQUASH). 15 Using SQUASH, participants were asked about their habitual physical activity (frequency, duration, and intensity) addressing the main domains of physical activity (commuting, leisure time, household, and education/work). SQUASH was used to assess total physical activity levels expressed as

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The Contribution of Leisure Center Usage to Physical Activity in the United Kingdom: Evidence From a Large Population-Based Cohort

Coral L. Hanson, Paul Kelly, Lis Neubeck, Jordan Bell, Holly Gibb, and Kai Jin

, squash, and table tennis. Overall, 24.2% of usage was on a pay-as-you-go basis. Nonregistered pay-as-you-go usage (those with no details registered who paid for activities at the point of attendance) was an important component of this (16.9% of overall usage), being 2.3 times higher than registered pay

Full access

Health Literacy and Physical Activity: A Systematic Review

Alessandra Buja, Andrea Rabensteiner, Milena Sperotto, Giulia Grotto, Chiara Bertoncello, Silvia Cocchio, Tatjana Baldovin, Paolo Contu, Chiara Lorini, and Vincenzo Baldo

you read hospital materials?” – “How confident are you filling out medical forms by yourself?” – “How often do you have problems learning about your medical condition due to difficulty understanding written information?” HL scores from 3 to 15: Low HL: <12 High HL: >13 SQUASH (validated Dutch

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Influence of Neighborhood Characteristics and Weather on Movement Behaviors at Age 3 and 5 Years in a Longitudinal Birth Cohort

Victor E. Ezeugwu, Piush J. Mandhane, Nevin Hammam, Jeffrey R. Brook, Sukhpreet K. Tamana, Stephen Hunter, Joyce Chikuma, Diana L. Lefebvre, Meghan B. Azad, Theo J. Moraes, Padmaja Subbarao, Allan B. Becker, Stuart E. Turvey, Andrei Rosu, Malcolm R. Sears, and Valerie Carson

, gymnasium, indoor bowling, indoor swimming, squash, yoga, badminton, and gymnastics) Child recreation Child-specific recreation Sum of playgrounds and splash parks Weather Mean temperature Mean daily temperature (in degree celcius) Total rain Total rainfall per day (in centimeters) Snow on ground The daily

Open access

When American Adults Do Move, How Do They Do So? Trends in Physical Activity Intensity, Type, and Modality: 1988–2017

Matthew A. Ladwig, Christopher N. Sciamanna, Brandon J. Auer, Tamara K. Oser, Jonathan G. Stine, and Jennifer P. Agans

, trimming, etc) 4.3 Paddleball 8.0 Hunting large game–deer, elk, etc 5.5 Racquetball 8.5 Running 8.5 Rugby 7.3 Stair climbing/StairMaster 7.5 Hunting small game–quail, etc 3.9     Soccer 8.5 Softball/baseball 5.0 Inline skating 10.9 Squash 9.7 Swimming in laps 7.8 Mountain climbing 8.0 Table Tennis 4.0 Rock

Free access

Pickleball Participation and the Health and Well-Being of Adults—A Scoping Review

Kim Stroesser, Adam Mulcaster, and David M. Andrews

, squash, and racquetball were not included, unless it was documented that most of their participation was in pickleball. Types of Sources A broad range of quantitative and qualitative research designs were considered for inclusion, such as randomized controlled trials, nonrandomized controlled trials

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Maintenance of Aerobic or Resistance Training After an Exercise Intervention Among Breast Cancer Patients After Neoadjuvant Chemotherapy

Siri Goldschmidt, Martina E. Schmidt, Friederike Rosenberger, Joachim Wiskemann, and Karen Steindorf

enhancing physical activity (SQUASH). 30 Statistical Methods All statistical analyses were conducted with SAS (version 9.4) according to the intent-to-treat principle. All tests were performed 2-sided with P  < .05 considered as statistically significant. Chi-squared or Fisher exact tests were used to