Measurement of Physical Activity EPHE 348 Why is measurement of PA Important? • • • • • To specify which aspects are important To monitor changes To evaluate interventions To determine prevalence To predict with accuracy Aspects to Measure • • • • Frequency Duration Intensity Type Techniques • Criterion (direct observation) • Objective (accelerometer) • Subjective (questionnaire) Popular Activities • • • • Walking (65%) Gardening (41%) Home Exercise (24%) Cycling/Swimming (18-19%) • Strength training (11%) • Exercise classes (7%) Key Aspects of Measurement • Reliability • Validity Advantages of Self-Report • Easy to use • Inexpensive • Easy to score • Can administer quickly Limitations of Self-Report • Social desirability • Memory • Immediacy/recency • Familiarity of terminology Objective Measures • Heart rate monitors • Pedometers • Accelerometers Example of Accelerometry PP003_1_Baseline 3/18/07 12:00:00 AM 6000 Hard Moderate 5000 ACTIVITY 4000 3000 2000 Light 1000 0 TIME Objective vs. Self-Report • 83 study systematic review of adolescents and children (Adamo et al., 2008). Correlations of .56 to .89 between measures and 72% of studies showed over-estimation with self-report. • 187 study systematic review of adults (Prince et al. 2008). Correlations of -.71 to .96 between measures (M = .37). No discernable differences in terms of over or under-estimation, but estimation was poorest for vigorous activity. Issues with self-report • Response values provided can bias the measure. Courneya, K.S., Jones, L.W., Rhodes, R.E. & Blanchard, C.M. (2004). Effects of different combinations of intensity categories on self-reported exercise. Research Quarterly for Exercise and Sport, 75, 429-433. Table 4. Percentage of respondents selecting each continuous-closed verbal response by response format and regular exercise status. Continuous-Closed Verbal Response Format (r) n never rarely occasionally often always Continuous-Open (.77) <15 15+ 77 23 10 (13.0%) 25 (32.5%) 30 (40.0%) 3 (13.0%) 10 (13.0%) 18 (78.3%) 2 (2.6%) 2 (8.7%) Dichotomous-Yes/No(.70) <15 15+ 71 29 8 (11.3%) 27 (38.0%) 1 ( 3.4%) 30 (42.3%) 1 ( 3.4%) 6 ( 8.5%) 21 (72.4%) 6 (20.7%) CCN-Low Frequency <15 15+ (.85) 86 14 7 (8.1%) 30 (34.9%) 32 (37.2%) 1 ( 7.1%) 16 (18.6%) 6 (42.9%) 1 ( 1.2%) 7 (50.0%) CCN-Medium Frequency (.75) <15 80 15+ 20 9 (11.3%) 30 (37.5%) 1 ( 5.0%) 35 (43.8%) 4 (20.0%) 6 (7.5%) 11 (55.0%) 4 (20.0%) CCN-High Frequency (.68) <15 55 15+ 45 2 (3.6%) 23 (41.8%) 27 (49.1%) 16 (35.6%) 3 ( 5.5%) 26 (57.8%) 3 (6.7%) Overall 500 36 (7.2%) 135 (27.0%) 179 (35.8%) 123 (24.6%) 25 (5.0%) ____________________________________________________________________________________________________________ Issues with self-report • Intensity categories provided can influence accuracy Courneya, K.S., Jones, L.W., Rhodes, R.E., & Blanchard, C.M. (2003). Effect of response scales on self-reported exercise frequency. American Journal of Health Behavior, 27, 613-622. Self-Reported Exercise Table 1. Means and standard deviations of mild, moderate, strenuous, and total exercise minutes per week by experimental condition. Mild Minutes (n=228) Moderate Minutes (n=250) Strenuous Minutes (n=175) Total Minutes (n=432) Experimental Condition Mild1 (n=95) 193 (289)b 193 (289) Moderate1 (n=79) 204 (250)a Strenuous (n=87) 204 (250)b 198 (240) 198 (240)b Mild and Moderate1 (n=83) 126 (145) 129 (130)b Moderate and Strenuous (n=38) 153 (171)ab 177 (194) 330 (292)ab 80 ( 75)b 156 (206) 414 (322)a Mild, Moderate, and Strenuous (n=50) 1 179 (180) 256 (225)b Participants were asked to report exercise of at least that intensity. Means within a column that have different superscripts are significantly different from each other (p<.05). 1
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