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Acronym
CHAMPS
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Community Health Model Activities Program for Seniors Physical Activity Questionnaire
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Key Descriptions
- CHAMPS was developed to evaluate the effect of planned interventions on physical activity of community-dwelling older adults in the United States.
- The questionnaire includes 41 items that explore the frequency and duration of light, moderate, and vigorous physical activities that have been performed weekly over the last 4 weeks.
- Frequency is determined by having participants report if an activity was performed in the past 4 weeks (Y/N) and, if yes, how many times in one week. Participants also rate the hours per week spent doing the activity by selecting from a 6-point scale ranging from less than 1 hour to 9 or more hours.
- Four different scores can be derived from the questionnaire: frequency of moderate or greater activity (MET > 3.0); frequency of all physical activity (light, moderate, and vigorous); caloric expenditure of moderate or greater activity; caloric expenditure of all physical activity. (Stewart et al, 2001).
Number of Items
41
Equipment Required
- Writing Utensil
- Printed Questionnaire
Time to Administer
15-20 minutes
Required Training
No TrainingInstrument Reviewers
Adwaita Subhedar PT, MHS
ICF Domain
ActivityParticipation
Measurement Domain
Participation & ActivitiesConsiderations
Results suggested that several CHAMPS items may be susceptible to over-reporting. (Hekler, 2012)
The results from one study concluded that CHAMPS does not appear to be an appropriate tool to measure physical activity changes in shorter community-based physical activity programs for older adults that prescribe a single multi-component exercise routine. (Godrad, 2007)
Orthopedic Surgery
back to PopulationsStandard Error of Measurement (SEM)
Older adults following total knee arthroplasty: (Almeida, 2016; n= 28; mean age= 69; time post TKA- 3 to 6 months)
- SEM = 12.8- 16.9 for min/day,
- SEM = 46.7- 99.4 for kcal/day
Minimal Detectable Change (MDC)
Older adults following total knee arthroplasty: (Almeida, 2016)
Min/day:
- MDC = 30.1 for light activities,
- MDC = 28.4 for moderate exercise
- MDC = 39.3 for light to moderate activities
Kcal/day
- MDC = 109.0 for light activity
- MDC = 236.0 for moderate activities
- MDC = 231 for light to moderate activities.
Test/Retest Reliability
Patients after total knee arthroplasty (Almeida et al, 2016)
- Excellent test-retest reliability for all activities(ICC=0.86-0.92)
- Excellent test-retest reliability for moderate-intensity physical activity(ICC=0.81-0.88)
- Adequate test-retest reliability for vigorous-intensity physical activity (ICC=0.34-0.45)
Musculoskeletal Conditions
back to PopulationsTest/Retest Reliability
Patients with Fibromyalgia: (Kaleth et al, 2010; N=30; mean age 49.1 +/- 9.6 years; fibromyalgia)
- Adequate test-retest reliability (ICC= 0.58)
Older Adults and Geriatric Care
back to PopulationsTest/Retest Reliability
adults aged 65+:
(Hekler et al, 2012; N = 870; mean age= 75.3 ± 6.8; older adults)
- Adequate test-retest reliability (ICCs 0.56-0.70)
(Giles and Marshalls, 2009; N = 100; Australian community dwelling older adults; age > 65 years)
- Adequate to excellent test-retest reliability (ICC=.70 to .89 for sessions/week and ICC=.65 to .75 for min/week).
(Gennuso et al, 2015; n=58; older adults over 65)
- Adequate test-retest reliability (ICC=0.64)
(Stewert et al, 2001)
- Adequate test-retest reliability for moderate activity ICC = 0.67 All activities ICC= 0.66
(Cyarto et al, 2006; n=167; mean age 79.1(6.3) years; older adults)
- Excellent test-retest reliability for moderate intensity PA(ICC=0.81-0.88)
- Adequate test-retest reliability for vigorous intensity PA (ICC=0.34-0.45)
(Harada et al, 2001; n=87; mean age 75 (6); older adults in retirement homes, and community center)
- Adequate test-retest reliability in Kcals/week for “All” Activities (ICC= 0.62)
- Excellent test-retest reliability in Kcals/week for “Moderate” Activities (ICC= 0.76)
Criterion Validity (Predictive/Concurrent)
Concurrent validity:
Older adults 65+:
(Giles and Marshalls, 2009)
- Adequate correlations with walking step counts (r = 0.40).
(Harada et al, 2001)
- Adequate correlations with EE(Q) – ankle counts(ML) (r = 0.36)
(Pruitt et al, 2008; n =91; two group of participates physical activity group mean age 77.6(4), and participants of successful aging group 77.3 (4.5))
- Adequate (CHAMPS for all activities) compared actigraph accelerometry (r = 0.42)
- Adequate (CHAMPS for all activities) correlation with actigraph accelerometry (r = 0.31)
- Adequate for frequency of all activities in CHAMPS correlation with actigraph accelerometry (r = 0.33)
- Poor for frequency of moderate activities in CHAMPS correlation with actigraph accelerometry (r = 0.27)
(Hekler et al, 2012)
- Poor correlation with accelerometer between frequency of moderate activities (ρ= 0.12-0.06)
- Adequate correlation with accelerometer moderate-to-vigorous variables (ρ= .27 to .42)
Construct Validity
Convergent validity:
(Stewert et al, 2001)
(Correlations between CHAMPS baseline physical activity measures and physical functioning/health-related quality of life (N = 249)
|
Measures: |
Body Mass Index (r) |
Lower body functioning (r) |
6-Min walk test (r) |
Self-reporting physical function (r) |
|
Caloric expenditure/ week (MET > or equal 3.0) in CHAMP |
-0.06 |
0.28 |
0.27 |
0.30 |
|
Frequency/week in (MET > or equal 3.0) in CHAMPS |
-0.17 |
0.20 |
0.20 |
0.30 |
|
Caloric expenditure/ week in all PA In CHAMPS |
0.04 |
0.27 |
0.22 |
0.27 |
|
Frequency/ week in all listed PA in CHAMPS |
-0.21 |
0.15 |
0.10 |
0.23 |
|
Measures |
Self-reported energy/fatigue |
Self-reported pain |
Self-reported psychological being |
|
Caloric expenditure/ week (MET > or equal 3.0) in CHAMPS |
0.20 |
0.11
|
0.09 |
|
Frequency/week in (MET > or equal 3.0) in CHAMPS |
0.23 |
0.17 |
0.14 |
|
Caloric expenditure/ week in all PA in CHAMPS |
0.17 |
0.08 |
0.05 |
|
Frequency/ week in all listed PA in CHAMPS |
0.14 |
0.07 |
0.02 |
*Poor correlation between all the self-reporting scales and CHAMPS
(Cyarto et al, 2006)
- Poor correlation with physical performance measure (ρ=0.14-0.32)
- Poor correlation with physical health scale of the SF-12 (ρ=0.12-0.24)
(Feldman et al, 2009; n= 50; Age (years) 51 ± 17, measured at baseline, 1 week, and 1 month post laparoscopic cholecystectomy)
Correlation with CHAMPS:
|
|
Baseline (r) |
1 week (r) |
1 month (r) |
|
6 Min walk test |
Adequate 0.32 |
Adequate 0.50 |
Adequate 0.47 |
|
SF 36 physical function |
Adequate 0.38 |
Poor 0.30 |
Adequate 0.43 |
|
Physical role performance |
Poor 0.29 |
Poor 0.18 |
Poor 0.19 |
|
Bodily pain |
Poor 0.28 |
Poor 0.24 |
Poor 0.30 |
|
General health perceptions |
Poor 0.26 |
Poor 0.06 |
Poor 0.19 |
|
Vitality |
Adequate 0.40 |
Poor 0.30 |
Adequate 0.40 |
|
Social functioning |
Poor 0.28 |
Poor 0.15 |
Adequate 0.36 |
|
Emotional role performance |
Poor 0.18 |
Poor 0.02 |
Poor 0.26 |
|
Mental Health |
Poor 0.20 |
Poor 0.05 |
Poor 0.30 |
|
Physical component summary |
Poor 0.30 |
Adequate 0.33 |
Poor 0.26 |
|
Mental component summary |
Poor 0.19 |
Poor 0.07 |
Adequate 0.32 |
|
Pain with movement (VAS) |
Adequate 0.38 |
Adequate 0.43 |
Adequate 0.38 |
|
Fatigue (VAS) |
Poor 0.30 |
Adequate 0.55 |
Adequate 0.43 |
|
Self-assessed recovery (diary) |
|
Adequate 0.55 |
|
(Colbert et al, 2011; n = 56; mean age = 74.7(6.5); older adults)
- Poor correlation with doubly labeled water–measured physical activity energy expenditure (r = 0.28)
(Stahl, and Insana, 2014; n = 10; mean age = 63.8 (3.17); older adults)
- Excellent correlation with accelerometry device (fitbit) (r = 0.61)
Floor/Ceiling Effects
(Feldman et al, 2009)
- Poor 24% of subjects reported caloric expenditure of 0 at baseline, suggesting a possible floor effect when analyzing moderate or greater intensity activities separately.
Responsiveness
(Stewert et al, 2001; Change examined the extent to which 1-yr changes in physical activity differed between the intervention and the control group)
- Moderate effect sizes (0.38–0.64)
(Feldman et al, 2009)
- Moderate SRM baseline to 1 week postoperatively was (-0.73)
- Moderate SRM Recovery from 1 week to 1 month was (+0.60)
Bibliography
Almeida, G. J., Irrgang, J. J., Fitzgerald, G. K., Jakicic, J. M., & Piva, S. R. (2016). Reliability of Physical Activity Measures During Free-Living Activities in People After Total Knee Arthroplasty. Physical therapy, 96(6), 898. Link on PubMed
Colbert, L. H., Matthews, C. E., Havighurst, T. C., Kim, K., & Schoeller, D. A. (2011). Comparative validity of physical activity measures in older adults. Medicine and science in sports and exercise, 43(5), 867.
Cyarto, E. V., Marshall, A. L., Dickinson, R. K., & Brown, W. J. (2006). Measurement properties of the CHAMPS physical activity questionnaire in a sample of older Australians. Journal of Science and Medicine in Sport, 9(4), 319-326.
Feldman, L. S., Kaneva, P., Demyttenaere, S., Carli, F., Fried, G. M., & Mayo, N. E. (2009). Validation of a physical activity questionnaire (CHAMPS) as an indicator of postoperative recovery after laparoscopic cholecystectomy. Surgery, 146(1), 31-39.
Gennuso, K. P., Matthews, C. E., & Colbert, L. H. (2015). Reliability and validity of 2 self-report measures to assess sedentary behavior in older adults. Journal of Physical Activity and Health, 12(5), 727-732. Find on PubMed
Giles, K., & Marshall, A. L. (2009). Repeatability and accuracy of CHAMPS as a measure of physical activity in a community sample of older Australian adults. Journal of Physical Activity and Health, 6(2), 221-229. Find on PubMed
Godard, M. P., & Standley, C. M. (2007). Relationship between CHAMPS physical activity questionnaire and functional fitness outcomes in older adults. Activities, Adaptation & Aging, 31(1), 19-40.
Harada, N. D., Chiu, V., King, A. C., & Stewart, A. L. (2001). An evaluation of three self-report physical activity instruments for older adults. Medicine and science in sports and exercise, 33(6), 962-970.
Hekler, E. B., Buman, M. P., Haskell, W. L., Conway, T. L., Cain, K. L., Sallis, J. F., ... & King, A. C. (2012). Reliability and validity of CHAMPS self-reported sedentary-to-vigorous intensity physical activity in older adults. Journal of Physical Activity and Health, 9(2), 225-236. Find on PubMed
Kaleth, A. S., Ang, D. C., Chakr, R., & Tong, Y. (2010). Validity and reliability of community health activities model program for seniors and short-form international physical activity questionnaire as physical activity assessment tools in patients with fibromyalgia. Disability and rehabilitation, 32(5), 353-359. Find on PubMed
Stahl, S. T., & Insana, S. P. (2014). Caloric expenditure assessment among older adults: Criterion validity of a novel accelerometry device. Journal of health psychology, 19(11), 1382-1387.