Two studies were designed to test the validity of the Mental Readiness Form (MRF; Murphy, Greenspan, Jowdy, and Tammen, 1989) with collegiate athletes. In Study 1, male and female athletes completed the CSAI-2 and the original or a modified MRF within 60 minutes prior to competition. In Study 2, subjects completed two forms of the MRF with slightly different anchor terms, the CSAI-2, trait anxiety measures, and a social desirability scale. Overall, results indicated moderate to strong correlations between corresponding CSAI-2 subscales and MRF items, supporting its concurrent validity. The intercorrelations among MRF items were high, but were similar to the intercorrelations among CSAI-2 subscales. Correlations with trait anxiety also supported the concurrent validity of the MRF. None of the MRF scales or the CSAI-2 were significantly correlated with social desirability. The preliminary analyses in these studies provide initial support for the MRF as a measure of competitive anxiety when expediency is an important concern.
MeLisa Creamer, Heather R. Bowles, Belinda von Hofe, Kelley Pettee Gabriel, Harold W. Kohl III and Adrian Bauman
Computer-assisted techniques may be a useful way to enhance physical activity surveillance and increase accuracy of reported behaviors.
Evaluate the reliability and validity of a physical activity (PA) self-report instrument administered by telephone and internet.
The telephone-administered Active Australia Survey was adapted into 2 forms for internet self-administration: survey questions only (internet-text) and with videos demonstrating intensity (internet-video). Data were collected from 158 adults (20–69 years, 61% female) assigned to telephone (telephone-interview) (n = 56), internet-text (n = 51), or internet-video (n = 51). Participants wore an accelerometer and completed a logbook for 7 days. Test-retest reliability was assessed using intraclass correlation coefficients (ICC). Convergent validity was assessed using Spearman correlations.
Strong test-retest reliability was observed for PA variables in the internet-text (ICC = 0.69 to 0.88), internet-video (ICC = 0.66 to 0.79), and telephone-interview (ICC = 0.69 to 0.92) groups (P-values < 0.001). For total PA, correlations (ρ) between the survey and Actigraph+logbook were ρ = 0.47 for the internet-text group, ρ = 0.57 for the internet-video group, and ρ = 0.65 for the telephone-interview group. For vigorous-intensity activity, the correlations between the survey and Actigraph+logbook were 0.52 for internet-text, 0.57 for internet-video, and 0.65 for telephone-interview (P < .05).
Internet-video of the survey had similar test-retest reliability and convergent validity when compared with the telephone-interview, and should continue to be developed.
Daniel M. Landers, Michael O. Wilkinson, Brad D. Hatfield and Heather Barber
The causal predominance of performance affecting later cohesiveness that has been shown in previous studies was examined by means of a series of statistical analyses designed to assess influence in a longitudinal panel design. Male students (N = 44) participating in a basketball league were administered cohesiveness and participation motivation scales at early, mid, and late season. In contrast to previous findings, the cross-lagged correlations showed that performance and cohesion were significantly related to each other with no causal predominance of one over the other. With the exception of the friendship measure, the cross-lagged correlations were no longer significant when earlier measures of the effect variable were controlled through partial correlation and path analysis techniques. In contrast to previous research, midseason cohesion, as measured by friendship, was a significant (p < .04) predictor of late season performance. The importance of interpersonal attraction in the recruitment and maintenance of intramural team members is discussed along with the necessity for determining, in future studies, the reliability of cohesiveness measures.
Dahn Shaulis, Lawrence A. Golding and Richard D. Tandy
This study assessed the relative and absolute reliability of the five tests in the AAHPERD functional fitness assessment for men and women over 60 years of age. Twenty-eight apparently healthy subjects, ages 60 to 81, were tested three times during a 2-week period on each item in the test battery: sit and reach flexibility, body agility, coordination, strength/endurance, and half-mile walk. Relative reliability was assessed for both sexes via intraclass correlation coefficient. Absolute reliability was evaluated using repeated measures ANOVA. Intraclass correlations among sessions for men and women, respectively, were 0.97 and 0.98 for flexibility, 0.98 and 0.96 for body agility, 0.89 and 0.71 for coordination, 0.94 and 0.81 for strength/endurance, and 0.99 and 0.96 for the walk. Repeated measures ANOVAs with Tukey’s post hoc tests revealed improved performance from repeated practice sessions in all tests, although the improvement was not consistent between tests. Although the tests have high intraclass correlations, researchers using the test battery should include a random control group to assess the effects of training.
Barbara Resnick and Elizabeth Galik
The purpose of this study was to develop and test a measure of physical activity for residents in long-term-care facilities, the Physical Activity Survey in Long-Term Care (PAS-LTC). Sixty-six activities are included in the PAS-LTC: routine physical activity, personal-care activities, structured exercise, recreational activities, caretaking activities, and repetitive activities. The study included 13 residents in a long-term-care facility, most of whom were women (62%), with an average age of 84 years (± 6.0) and an average Mini Mental State Examination score of 6 (± 6.9). There was evidence of interrater reliability of the PAS-LTC with intraclass correlations of .83-.94. There was some evidence of validity of the measure with statistically significant correlations between PAS-LTC recorded during the evening and night shifts and the number of counts of activity per the ActiGraph (r = .60 and r = .57, respectively, p < .05) and the calories estimated (r = .58 and r = .60, respectively, p < .05). The PAS-LTC completed during the day shift and total activity based on the PAS-LTC showed nonsignificant correlations of .40 or greater with the ActiGraph activity counts and calories.
Dawn P. Gill, Gareth R. Jones, GuangYong Zou and Mark Speechley
The purpose of this study was to develop a brief physical activity interview for older adults (Phone-FITT) and evaluate its test–retest reliability and validity. Summary scores were derived for household, recreational, and total PA. Reliability was evaluated in a convenience sample from a fall-prevention study (N = 43, 79.4 ± 2.9 years, 51% male), and validity, in a random sample of individuals in older adult exercise programs (N = 48, 77.4 ± 4.7 years, 25% male). Mean time to complete the Phone-FITT was 10 min for participants sampled from exercise programs. Evaluation of test–retest reliability indicated substantial to almost perfect agreement for all scores, with intraclass correlation coefficients (95% confidence intervals) ranging from .74 (.58–.85) to .88 (.8–.94). For validity, Spearman’s rho correlations of Phone-FITT scores with accelerometer counts ranged from .29 (.01–.53) to .57 (.34–.73). Correlations of Phone-FITT recreational scores with age and seconds to complete a self-paced step test ranged from –.29 (–.53 to –.01) to –.45 (–.68 to –.14). This study contributes preliminary evidence of the reliability and validity of the Phone-FITT.
Tiago V. Barreira, John P. Bennett and Minsoo Kang
To obtain validity evidence for the measurement of step counts by spring-levered and piezoelectric pedometers during dance.
Thirty-five adults in a college dance class participated in this study. Participants completed trials of 3- and 5-min of different styles of dance wearing Walk4life MVP and Omron HJ-303 pedometers, while their steps were visually counted. Pearson correlation, paired t-test, mean absolute percent error (MAPE), and mean bias were calculated between actual step and pedometer step counts for the 3- and 5-min dances separately.
For the Walk4life trials the correlations were .92 and .77 for the 3- and 5-min dances. No significant differences were shown by t-test for the 3- (P = .16) and 5-min dances (P = .60). However, MAPE was high, 17.7 ± 17.7% and 19.4 ± 18.3% for the 2 dance durations, respectively. For the Omron, the correlations were .44 and .58 for the 3- and 5-min dances, respectively. No significant differences were shown by t-test for the 3-min (P = .38) and for the 5-min (P = .88) dances. However, MAPE was high, 19.3 ± 16.4% and 26.6 ± 15.2% for the 2 dance durations, respectively.
This study demonstrated that pedometers can be used to estimate the number of steps taken by a group of college students while dancing, however caution is necessary with individual values.
Pedro C. Hallal, Eduardo Simoes, Felipe F. Reichert, Mario R. Azevedo, Luiz R. Ramos, Michael Pratt and Ross C. Brownson
To evaluate the validity and reliability of the telephone-administered long IPAQ version.
The questionnaire was administered by telephone to adults on days 1 and 6. On day 1, the same questionnaire was administered by face-to-face interview, and accelerometers were delivered to subjects. Reliability was measured by comparing data collected using the telephone questionnaire on days 1 and 6. Validity was measured by comparing the telephone questionnaire data with (a) face-to-face questionnaire and (b) accelerometry.
Data from all instruments were available for 156 individuals. The Spearman correlation coefficient for telephone interview reliability was 0.92 for the leisure-time section of IPAQ, and 0.87 for the transport-related section of IPAQ. The telephone interview reliability kappa was 0.78. The Spearman correlation between the telephone-administered and the face-to-face questionnaire was 0.94 for the leisure-time and 0.82 for the transport-related section. The kappa was 0.69. There was a positive association between quartiles of accelerometer data and total telephone-administered IPAQ score (P < .001). The Spearman correlation was 0.22.
The telephone-administered IPAQ presented almost perfect reliability and very high agreement with the face-to-face version. The agreement with accelerometer data were fair for the continuous score, but moderate for the categorical physical activity variables.
Urs Granacher, Andre Lacroix, Katrin Roettger, Albert Gollhofer and Thomas Muehlbauer
This study investigated associations between variables of trunk muscle strength (TMS), spinal mobility, and balance in seniors. Thirty-four seniors (sex: 18 female, 16 male; age: 70 ± 4 years; activity level: 13 ± 7 hr/week) were tested for maximal isometric strength (MIS) of the trunk extensors, flexors, lateral flexors, rotators, spinal mobility, and steady-state, reactive, and proactive balance. Significant correlations were detected between all measures of TMS and static steady-state balance (r = .43−.57, p < .05). Significant correlations were observed between specific measures of TMS and dynamic steady-state balance (r = .42−.55, p < .05). No significant correlations were found between all variables of TMS and reactive/proactive balance and between all variables of spinal mobility and balance. Regression analyses revealed that TMS explains between 1–33% of total variance of the respective balance parameters. Findings indicate that TMS is related to measures of steady-state balance which may imply that TMS promoting exercises should be integrated in strength training for seniors.
Timothy K. Behrens and Mary K. Dinger
The purpose of this study was to compare steps·d-1 between an accelerometer and pedometer in 2 free-living samples.
Data from 2 separate studies were used for this secondary analysis (Sample 1: N = 99, Male: n = 28, 20.9 ± 1.4 yrs, BMI = 27.2 ± 5.0 kg·m-2, Female: n = 71, 20.9 ± 1.7 yrs, BMI = 22.7 ± 3.0 kg·m-2; Sample 2: N = 74, Male: n = 27, 38.0 ± 9.5 yrs, BMI = 25.7 ± 4.5 kg·m-2, Female: n = 47, 38.7 ± 10.1 yrs, BMI = 24.6 ± 4.0 kg·m-2). Both studies used identical procedures and analytical strategies.
The mean difference in steps·d-1 for the week was 1643.4 steps·d-1 in Study 1 and 2199.4 steps·d-1 in Study 2. There were strong correlations between accelerometer- and pedometer-determined steps·d-1 in Study 1 (r = .85, P < .01) and Study 2 (r = 0.87, P < .01). Bland-Altman plots indicated agreement without bias between steps recorded from the devices in Study 1 (r = −0.14, P < .17) and Study 2 (r = −0.09, P < .40). Correlations examining the difference between accelerometer–pedometer steps·d-1 and MVPA resulted in small, inverse correlations (range: r = −0.03 to −0.28).
These results indicate agreement between accelerometer- and pedometer-determined steps·d-1; however, measurement bias may still exist because of known sensitivity thresholds between devices.