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K. Fiona Iredale and Myra A. Nimmo

Thirty-three men (age 26–55 years) who did not exercise regularly were exercised to exhaustion using an incremental treadmill protocol. Blood lactate concentration was measured to identify lactate threshold (LT, oxygen consumption at which blood lactate concentration begins to systematically increase). The correlation coefficient for LT (ml · kg−1 · min−1) with age was not significant, but when LT was expressed as a percentage of peak oxygen consumption (VO2 peak), the correlation was r = +.69 (p < .01). This was despite a lack of significant correlation between age and VO2 peak (r = −.33). The correlation between reserve capacity (the difference between VO2 peak and LT) and age was r = −.73 (p < .01 ), and reserve capacity decreased at a rate of 3.1 ml · kg−1 · min−1 per decade. It was concluded that the percentage of VO2 peak at which LT occurs increases progressively with age, with a resultant decrease in reserve capacity.

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Corneel Vandelanotte, Ilse De Bourdeaudhuij, Renaat Philippaerts, Michael Sjöström and James Sallis

Background:

The purpose of this study was to examine the reliability and validity of a newly developed computerized Dutch version of the International Physical Activity Questionnaire (IPAQ).

Methods:

Subjects (N = 53) completed the computerized IPAQ at three specified times. Subjects wore a CSA activity monitor during seven full days and simultaneously completed a 7-d physical activity diary. Finally, respondents filled out a paper and pencil IPAQ.

Results:

Intraclass correlation coefficient ranged from 0.60 to 0.83. Correlations for “total physical activity” between the computerized IPAQ and the CSA activity counts were moderate (min: r = 0.38; kcal: r = 0.43). Correlations with the physical activity diary were also moderate (min: r = 0.39; kcal: r = 0.46). Correlations between the computerized and the paper and pencil IPAQ were high (min: r = 0.80; kcal: r = 0.84).

Conclusions:

The computerized Dutch IPAQ is a reliable and reasonably valid physical activity measurement tool for the general adult population.

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James W. Navalta, Jeffrey Montes, Nathaniel G. Bodell, Charli D. Aguilar, Ana Lujan, Gabriela Guzman, Brandi K. Kam, Jacob W. Manning and Mark DeBeliso

-rater reliability and test-retest reliability was determined through Intraclass Correlation (ICC; Model 3, single rating) utilizing IBM SPSS (IBM Statistics version 24.0, Armonk, NY). Significance was accepted at the p  < .05 level and considered to have acceptable reliability when ICC > 0.70 ( Baumgartner

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Joshua Twaites, Richard Everson, Joss Langford and Melvyn Hillsdon

observed directly). • Root mean squared error (RMSE): This is computed by calculating square root of the mean squared time difference between each detected transitions and the closest true transition. This evaluation informs how close detected transitions are to the true locations. • Matthews Correlation

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João Martins, Adilson Marques, Nuno Loureiro, Francisco Carreiro da Costa, José Diniz and Margarida Gaspar de Matos

MVPA recall is shown to be reliable and valid for use in research on PA in children and adolescents from different cultures. 21 – 25 These validation studies provide evidence of adequate reliability, with intraclass correlation coefficients for the all group ranging from .44 25 to .82. 24 An

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Jean M. Williams and Colleen M. Hacker

The purpose of this study was to examine whether team cohesion in women's intercollegiate field hockey was specifically a cause for or an effect of successful performance and to examine what the cause-effect relationship is between cohesion and satisfaction and satisfaction and performance. A secondary purpose was to compare results from a cross-lagged panel correlation analysis with partial correlations and path analysis of the data. The high and significant individual correlations from cohesion to performance and performance to cohesion, combined with the failure of the cross-lagged correlation to indicate any causal predominance, suggested a circular relationship between cohesion and performance. Examination of the satisfaction correlations suggested that satisfaction may be a mediating variable in the cohesion-performance circular relationship. Support for this model totally broke down when the results from the partial correlations and path analysis of the data were examined. The only causal flow, and this only in a few select circumstances, was from success to increased cohesiveness and greater satisfaction, and from increased cohesiveness to greater satisfaction.

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Melanna F. Cox, Greg J. Petrucci Jr., Robert T. Marcotte, Brittany R. Masteller, John Staudenmayer, Patty S. Freedson and John R. Sirard

’s corresponding observation were used to assess inter-rater agreement (Figure  2 ). Intraclass correlations were calculated for intensity category to assess intra-rater and inter-rater agreement. All analyses were completed in Rstudio. Figure 2 —Visual example of data used to calculate inter-rater agreement

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Laureen H. Smith, Devin Laurent, Erica Baumker and Rick L. Petosa

focus our dietary questions on SSB behaviors. For each of these questions, gender differences were examined. Methods This study is a secondary analysis of a larger group-randomized controlled trial being conducted in 11 rural Appalachian high schools in southern Ohio. Pearson’s correlations, independent

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Lisa M. Barnett and Owen Makin

correlation coefficients for reliability research . Journal of Chiropractic Medicine, 15 ( 2 ), 155 – 163 . PubMed doi:10.1016/j.jcm.2016.02.012 10.1016/j.jcm.2016.02.012 Liong , G.H.E. , Ridgers , N.D. , & Barnett , L.M. ( 2015 ). Associations between skill perceptions and young children’s actual

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NiCole R. Keith, Daniel O. Clark, Timothy E. Stump, Douglas K. Miller and Christopher M. Callahan

Background:

An accurate physical fitness survey could be useful in research and clinical care.

Purpose:

To estimate the validity and reliability of a Self-Reported Fitness (SRFit) survey; an instrument that estimates muscular fitness, flexibility, cardiovascular endurance, BMI, and body composition (BC) in adults ≥ 40 years of age.

Methods:

201 participants completed the SF-36 Physical Function Subscale, International Physical Activity Questionnaire (IPAQ), Older Adults’ Desire for Physical Competence Scale (Rejeski), the SRFit survey, and the Rikli and Jones Senior Fitness Test. BC, height and weight were measured. SRFit survey items described BC, BMI, and Senior Fitness Test movements. Correlations between the Senior Fitness Test and the SRFit survey assessed concurrent validity. Cronbach’s Alpha measured internal consistency within each SRFit domain. SRFit domain scores were compared with SF-36, IPAQ, and Rejeski survey scores to assess construct validity. Intraclass correlations evaluated test-retest reliability.

Results:

Correlations between SRFit and the Senior Fitness Test domains ranged from 0.35 to 0.79. Cronbach’s Alpha scores were .75 to .85. Correlations between SRFit and other survey scores were –0.23 to 0.72 and in the expected direction. Intraclass correlation coefficients were 0.79 to 0.93. All P-values were 0.001.

Conclusion:

Initial evaluation supports the SRFit survey’s validity and reliability.