نوع مقاله : پژوهشی اصیل
موضوعات
عنوان مقاله English
نویسندگان English
This study aimed to evaluate the psychometric properties of the Adaptation to Chronic Pain Questionnaire (ACPQ). The research population was constituted by those who had consulted a pain clinic in Tehran between January and March 2024. A total of 110 clients were selected for this study through convenience sampling. The data were analyzed using factor analysis and internal consistency. The factor analysis confirmed the factor structure of the questionnaire, with the original 18 items distributed across three subscales. The proportion of the total variance that was explained was 65.83%. Cronbach's alpha was 0.90 for the entire instrument and 0.89, 0.90 and 0.85 for the self-perception, perception of limitations and perception of tolerance subscales, respectively. A positive and significant correlation was observed between the components of chronic pain adaptation (P<0.01). These metrics suggest that the Adaptation to Chronic Pain Questionnaire (ACPQ) is a valid and reliable tool for assessing chronic pain adaptation within the Iranian population.
کلیدواژهها English
References
Abbasi, M., Saberi, H., & Taheri, A. (2022). Prediction of pain perception based on childhood trauma with the mediation of emotion regulation in people with chronic pain, Journal of Health Psychology, 11(41), 7-26 (In Persian). https://doi.org/10.30473/hpj.2022.60912.5345
Afzali Kalate, Gh. R. (2020). Investigating the relationship between cognitive behavioral coping strategies and religious and spiritual coping with adaptation to pain and improvement of chronic pain, 6th International Conference on Psychology, Counseling and Educational Sciences, 1-10 (In Persian). URL: https://civilica.com/doc/1042149
Barzegari Soltan Ahmadi, M., Akhlaghgi, M., Zahedi, S. M., Mahmoudi, M., & Jamshidi, A. R. (2020). The role of self-efficacy, pain catastrophizing and fear of movement in the degree of adaptation to chronic pain in patients with rheumatoid arthritis. Journal of Anesthesia and Pain, 11(4), 80-93 (In Persian). URL: http://jap.iums.ac.ir/article-1-5527-fa.html
Breivik, H., Eisenberg, E., & O’Brien, T. (2013). The individual and societal burden of chronic pain in Europe: The case for strategic prioritisation and action to improve knowledge and availability of appropriate care. BMC Public Health, 13(1), 1229-1243. https://doi.org/10.1186/1471-2458-13-1229
Cohen, S. P., Vase, L., & Hooten, W. M. (2021). Chronic pain: An update on burden, best practices, and new advances. The Lancet, 397(10289), 2082-2097. https://doi.org/10.1016/S0140-6736(21)00393-7
Guven Kose, S., Kose, H. C., Celikel, F., Tulgar, S., De Cassai, A., Akkaya, O. T., & Hernandez, N. (2022). Chronic pain: An update of clinical practices and advances in chronic pain management. The Eurasian Journal of Medicine, 54(Suppl1), 57-61. https://doi.org/10.5152/eurasianjmed.2022.22307
Jahangiri, J., Ranjbari Pour, T., Pashang, S., Tari Moradi, A., Bahrami Hidaji, M. (2022). Investigating the mediating role of cognitive emotion regulation strategies in the relationship between attachment styles and ego strength with pain adjustment in patients with rheumatoid arthritis. Journal of Disability Studies, 12(158), 1-15 (In Persian). URL: http://jdisabilstud.org/article-1-2650-fa.html
Mirdrikvand, F., Shirazi Tehrani, A. R., & Sepahvandi, M. A. (2016). The structural model of relationships between pain vulnerability, catastrophizing, fear and pain adjustment in patients with chronic musculoskeletal pain. Journal of Isfahan Medical School, 34(413), 1595-1606 (In Persian). URL: https://jims.mui.ac.ir/article_15132.html?lang=en
Robinson- Lane S. G. (2020). Adapting to chronic pain: A focused ethnography of black older adults. Geriatric Nursing,41(4), 468-473. https://doi.org/10.1016/j.gerinurse.2019.08.001
Solgi, Z., Shafiei, H. (2022). The effectiveness of meta-cognitive therapy on anxiety sensitivity, psychological distress and pain indicators in female students with premenstrual syndrome, Family and health Quarterly, 12(3), 51-68 (In Persian). URL: https://journal.astara.ir/article_699786.html?lang=en
Stubhaug, A., Hansen, J. L., Hallberg, S., Gustavsson, A., Eggen, A. E., & Nielsen, C. S. (2024). The costs of chronic pain-Long‐term estimates. European Journal of Pain, 28(6), 960-977. https://doi.org/10.1002/ejp.2234
Steingrímsdóttir, Ó. A., Landmark, T., Macfarlane, G. J., & Nielsen, C. S. (2017). Defining chronic pain in epidemiological studies: A systematic review and meta-analysis. Journal of Pain, 158(11), 2092-2107. https://doi.org/10.1097/j.pain.0000000000001009
Sturgeon, J. A., & Zautra, A. J. (2013). Psychological resilience, pain catastrophizing, and positive emotions: Perspectives on comprehensive modeling of individual pain adaptation. Current Pain and Headache Reports, 17(3), 317-334. https://doi.org/10.1007/s11916-012-0317-4
Sturgeon, J. A., & Zautra, A. J. (2010). Resilience: A new paradigm for adaptation to Chronic pain. Current Pain and Headache Reports, 14(2), 105-112. https://doi.org/10.1007/s11916-010-0095-9
Tanburn, R., Lunt, O., & Dattani, N. S. (2015). Crushing runtimes in adiabatic quantum computation with Energy Landscape Manipulation (ELM): Application to Quantum Factoring. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1510.07420
Whitaker, M. M., Odell, D., Deboeck, P. R., Stefanucci, J. K., & Okifuji, A. (2024). Increased pain variability in patients with chronic pain: A role for pain Catastrophizing. Journal of Pain, 25(8), 104494-104507. https://doi.org/10.1016/j.jpain.2024.02.008
Yong, R. J., Mullins, P. M., & Bhattacharyya, N. (2021). Prevalence of chronic pain among adults in the United States. Journal of Pain, 163(2), 328-332. https://doi.org/10.1097/j.pain.0000000000002291
Zavadilová R., Knotek P. (2006). Adaptation on chronic pain questionnaire. Journal of Bolest, 9,143-149. URL: https://www.researchgate.net/publication/290031637_
