AbstractBackground and aimsPain acceptance, measured by the chronic pain acceptance questionnaire (CPAQ), is related to exercise adherence for those with arthritis. The CPAQ measure has 20 items comprising two subscales - pain willingness and activities engagement about pursuing “valued daily activities” despite pain. However, exercise is not specified as a valued activity and respondents may be considering other activities raising generalizability and strength of prediction concerns.MethodsAccordingly, a modified CPAQ solely for exercise (CPAQ-E) was developed to heighten salience to pursuit of exercise in the face of pain. An exercising sample with arthritis (N=98) completed the CPAQ-E at baseline and exercise 2 weeks later. Exploratory factor analysis of the CPAQ-E was performed using Mplus. Regression was used to predict exercise.ResultsAnalysis revealed a two-factor, 14 item model with good psychometric properties reflecting pain willingness and activities engagement subscales (χ2 = 85.695, df=64, p<.037; RMSEA = .055; CFI = .967; TLI = .954). Both subscales and the total score positively predicted future weekly exercise bouts (range ps from < .05 to <.001). Activities engagement predicted future weekly exercise volume (p < .05).ConclusionsThis study offers preliminary support for the factorial and predictive validity of the CPAQ-E among exercising individuals with arthritis.ImplicationsThis measure could help researchers increase the specificity and sensitivity of pain acceptance responses to exercising among individuals with arthritis. A more sensitive measure might help clinicians interpret patient responses to exercise for pain self-management.
Scandinavian Journal of Pain – de Gruyter
Published: Dec 29, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.
Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.
It’s easy to organize your research with our built-in tools.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera