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Li Xiaotong,Liou Kevin T.,Susan Chimonas,Karolina Bryl,Wong Greta,Eugenie Spiguel,Susan Q. Li,Sheila N.Garland,Bao Ting,Mao Jun J 한국한의학연구원 2023 Integrative Medicine Research Vol.12 No.1
Background: Fatigue is a troublesome symptom in cancer survivors that often results from disrupted sleep. We sought to assess whether two insomnia-focused non-pharmacological interventions are also effective for improving fatigue. Methods: We analyzed data from a randomized clinical trial comparing cognitive behavioral therapy for insomnia (CBT-I) versus acupuncture for insomnia among cancer survivors. Participants were 109 patients who reported insomnia and moderate or worse fatigue. Interventions were delivered over eight weeks. Fatigue was evaluated at baseline, week 8, and week 20 using the Multidimensional Fatigue Symptom Inventory-Short Form (MFSI-SF). We used both mediation analysis and t-tests to explore the extent to which fatigue reduction was attributable to insomnia response. Results: Compared to baseline, both CBT-I and acupuncture produced significant reductions in total MFSI- SF scores at week 8 ( −17.1 points; 95% confidence interval [CI]: −21.1 to −13.1, and −13.2 points; 95% CI: -17.2 to -9.2, respectively, all p < 0.001) and week 20 (-14.6 points; 95% CI: -18.6 to -10.6, and −14.2 points; 95% CI: -18.1 to -10.3. respectively, all p < 0.001), with no significant between-group differences. MFSI-SF total scores at week 8 were significantly associated with sleep improvements in both CBT-I and acupuncture groups ( p < 0.001 and p = 0.011, respectively). Insomnia responders demonstrated significantly greater improvements in mean MFSI-SF total scores compared with non-responders in the CBT-I group ( p = 0.016) but not in the acupuncture group. Conclusion: CBT-I and acupuncture produced similar, clinically meaningful, and durable fatigue reduc- tions in cancer survivors with insomnia, primarily through improvements in sleep. Acupuncture may also reduce fatigue through additional pathways. Trial registration: ClinicalTrials.gov, identifier:
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Li Xiaotong,Baser, Raymond E.,Bryl, Karolina,Amann, Lindsay,Chimonas, Susan,Mao Jun J 한국한의학연구원 2024 Integrative Medicine Research Vol.13 No.2
Background: Outcome expectancy is an important component of non-specific effect that may play an important role in pain research and clinical care. We sought to evaluate whether pretreatment expectancy predicts pain reduction in cancer survivors receiving electroacupuncture (EA) or battlefield acupuncture (BFA). Methods: We analyzed data from a randomized clinical trial that compared EA and BFA versus wait list control (WLC) for chronic musculoskeletal pain in cancer survivors. Expectancy was measured by the Acupuncture Expectancy Scale (AES) at baseline. Pain severity was assessed using the Brief Pain Inventory (BPI) at baseline and week 12. For each treatment arm, multivariable regression models were used to evaluate the association between pretreatment expectancy and week 12 pain severity, controlling for baseline pain severity, age, sex, race, and education. Results: Among 360 participants enrolled, the mean age was 62.1 years (SD 12.7), with 251 (69.7 %) women and 88 (24.4 %) non-white survivors. Pretreatment expectancy was similar for all groups at baseline (EA: 13.9 ± 3.6; BFA: 13.2 ± 3.7, WLC:12.8 ± 3.3, p = 0.14). Greater pretreatment expectancy was not significantly associated with greater pain reduction in any group, after adjusting for co-variates (EA: Coef. = -0.05, 95 % CI = -0.14 – 0.04, p = 0.28; BFA: Coef. = -0.07, 95 % CI = -0.16 – 0.02, p = 0.15; WLC: Coef. = -0.09, 95 % CI = -0.25 – 0.06, p = 0.23). Conclusions: Pretreatment expectancy did not predict pain reduction for either EA or BFA in cancer survivors. Our study contributes to the interpretation of analgesic effects of EA or BFA, beyond the notion of a mere 'placebo effect'. Trial registration: This study evaluates a secondary objective of the clinical trial registered at ClinicalTrials.gov (NCT02979574). Background: Outcome expectancy is an important component of non-specific effect that may play an important role in pain research and clinical care. We sought to evaluate whether pretreatment expectancy predicts pain reduction in cancer survivors receiving electroacupuncture (EA) or battlefield acupuncture (BFA). Methods: We analyzed data from a randomized clinical trial that compared EA and BFA versus wait list control (WLC) for chronic musculoskeletal pain in cancer survivors. Expectancy was measured by the Acupuncture Expectancy Scale (AES) at baseline. Pain severity was assessed using the Brief Pain Inventory (BPI) at baseline and week 12. For each treatment arm, multivariable regression models were used to evaluate the association between pretreatment expectancy and week 12 pain severity, controlling for baseline pain severity, age, sex, race, and education. Results: Among 360 participants enrolled, the mean age was 62.1 years (SD 12.7), with 251 (69.7 %) women and 88 (24.4 %) non-white survivors. Pretreatment expectancy was similar for all groups at baseline (EA: 13.9 ± 3.6; BFA: 13.2 ± 3.7, WLC:12.8 ± 3.3, p = 0.14). Greater pretreatment expectancy was not significantly associated with greater pain reduction in any group, after adjusting for co-variates (EA: Coef. = -0.05, 95 % CI = -0.14 – 0.04, p = 0.28; BFA: Coef. = -0.07, 95 % CI = -0.16 – 0.02, p = 0.15; WLC: Coef. = -0.09, 95 % CI = -0.25 – 0.06, p = 0.23). Conclusions: Pretreatment expectancy did not predict pain reduction for either EA or BFA in cancer survivors. Our study contributes to the interpretation of analgesic effects of EA or BFA, beyond the notion of a mere 'placebo effect'. Trial registration: This study evaluates a secondary objective of the clinical trial registered at ClinicalTrials.gov (NCT02979574).
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