Recent progress in technology has allowed for the development and validation of computer-based adaptations of existing pencil-and-paper neuropsychological measures and comprehensive cognitive test batteries. These computer-based assessments are frequently implemented in the field of clinical sports psychology to evaluate athletes’ functioning postconcussion. These tests provide practical and psychometric advantages over their pencil-and-paper counterparts in this setting; however, these tests also provide clinicians with unique challenges absent in paper-and-pencil testing. The purpose of this article is to present advantages and disadvantages of computer-based testing, generally, as well as considerations for the use of computer-based assessments for the evaluation of concussion among athletes. Furthermore, the paper provides suggestions for further development of computerized assessment of sports concussion given the limitations of the current technology.
John L. Woodard and Annalise A.M. Rahman
This study sought to identify factors associated with computer resistance for employees within subsets of three segments of the sport industry. Seven hypotheses were developed to test the relationship between computer resistance and various independent variables, including assorted demographic factors and an employee’s background. Prior hands-on computer experience was the most important determinant of the extent of computer resistance. Another important determinant was age, with younger employees being less computer resistant than older employees. Other characteristics associated with computer resistance included number of years in present employment and exposure to computer education.
Janet E. Fulton, Xuewen Wang, Michelle M. Yore, Susan A. Carlson, Deborah A. Galuska and Carl J. Caspersen
To examine the prevalence of television (TV) viewing, computer use, and their combination and associations with demographic characteristics and body mass index (BMI) among U.S. youth.
The 1999 to 2006 National Health and Nutrition Examination Survey (NHANES) was used. Time spent yesterday sitting and watching television or videos (TV viewing) and using the computer or playing computer games (computer use) were assessed by questionnaire.
Prevalence (%) of meeting the U.S. objective for TV viewing (≤2 hours/day) ranged from 65% to 71%. Prevalence of no computer use (0 hours/day) ranged from 23% to 45%. Non-Hispanic Black youth aged 2 to 15 years were less likely than their non-Hispanic White counterparts to meet the objective for TV viewing. Overweight or obese school-age youth were less likely than their normal weight counterparts to meet the objective for TV viewing
Computer use is prevalent among U.S. youth; more than half of youth used a computer on the previous day. The proportion of youth meeting the U.S. objective for TV viewing is less than the target of 75%. Time spent in sedentary behaviors such as viewing TV may contribute to overweight and obesity among U.S. youth.
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.
Susan B. Sisson, Stephanie T. Broyles, Birgitta L. Baker and Peter T. Katzmarzyk
The purposes were 1) to determine if different leisure-time sedentary behaviors (LTSB), such as TV/video/video game viewing/playing (TV), reading for pleasure (reading), and nonschool computer usage, were associated with childhood overweight status, and 2) to assess the social-ecological correlates of LTSB.
The analytic sample was 33,117 (16,952 boys and 16,165 girls) participants from the 2003 National Survey of Children’s Health. The cut-point for excessive TV and nonschool computer usage was ≥ 2 hr/day. High quantities of daily reading for pleasure were classified as ≥ 31 min/day. Weighted descriptive characteristics were calculated on the sample (means ± SE or frequency). Logistic regression models were used to determine if the LTSB were associated with overweight status and to examine social-ecological correlates.
Over 35% of the sample was overweight. Odds of being overweight were higher in the 2 to 3 hr/day (OR: 1.48, 95% CI: 1.24, 1.76) and ≥ 4 hr/day (OR: 1.52, 95% CI: 1.22, 1.91) daily TV groups compared with none. Reading and nonschool computer usage was not associated with being overweight.
TV was associated with overweight classification; however, nonschool computer usage and reading were not. Several individual, family, and community correlates were associated with high volumes of daily TV viewing.
Audie A. Atienza, Brian Oliveira, B.J. Fogg and Abby C. King
This pilot investigation used portable electronic diaries to assess the physical activity and other health behaviors of 20 adults age 50+ (mean age = 61 years). Study aims were to examine whether computerized cognitive-behavioral strategies could increase adherence to the assessments, the acceptability of electronic diaries to assess everyday health, and the relationship between computerized physical activity assessments with a standardized physical activity measure. Although approximately two thirds of participants had never used an electronic diary, results indicated that a large majority (83%) reported enjoying the use of the electronic diaries, and most (72%) reported enjoying answering all of the health questions. The cognitive-behavioral strategies employed did not enhance assessment adherence, but electronic-diary-based activity levels corresponded more strongly with the poststudy standardized activity measure than the baseline standardized measure, providing evidence of temporal convergence. Findings suggest that the use of portable electronic technology in physical activity assessment of middle-aged and older adults deserves further study.
Corneel Vandelanotte, Ilse De Bourdeaudhuij, Renaat Philippaerts, Michael Sjöström and James Sallis
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).
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.
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).
The computerized Dutch IPAQ is a reliable and reasonably valid physical activity measurement tool for the general adult population.
Charles F. Cicciarella and Charles B. Corbin
Janet D. Larsen and David W. Rainey
Stephanie Alley, Jannique G.Z. van Uffelen, Mitch J. Duncan, Katrien De Cocker, Stephanie Schoeppe, Amanda L. Rebar and Corneel Vandelanotte
Bureau of Statistics, 2012 ). Therefore, due to the high levels of sitting time in older adults and the health benefits of reducing sitting time, interventions are needed to reduce sitting in older adults. It is necessary to distinguish between different domains of sitting (TV, computer, other leisure