Dataset Information

Association between cancer-related fatigue and traditional Chinese medicine body constitution in female patients with breast cancer.

ABSTRACT:

Background

Cancer-related fatigue (CRF) is a common psychosomatic problem in breast cancer patients. Traditional Chinese medicine (TCM) has been used to address symptoms in patients with CRF. Identification of the specific constitution in TCM is essential for personalized care.

Aim

To explore the relationship between fatigue and specific constitutions in breast cancer.

Experimental procedure

We conducted a cross-sectional study in all breast cancer patients at Kaohsiung Chang Gung Memorial Hospital in Taiwan. The severity of fatigue was determined using the Brief Fatigue Inventory-Taiwanese (BFI-T) form. TCM patterns were determined using the Body Constitution Questionnaire (BCQ). The relationship between constitution and fatigue was analyzed using logistic regression.

Results

We recruited 110 breast cancer patients with fatigue (mean age: 55 ± 11 years). The mean duration of breast cancer was 17.4 months. The major constitution among these patients with fatigue was Yang-Qi deficiency (50%). Phlegm-Stasis syndrome was correlated with a duration of breast cancer of more than 18 months (p = 0.02). Out of all participants, 42.7% (n = 47) reported clinically significant fatigue (BFI-T score ?4). According to logistic regression, the score of Yang-Qi deficiency [odds ratio (OR): 3.5, 95% confidence interval (CI): 1.49-8.21, p < 0.01] was also associated with clinically significant fatigue.

Conclusion

Yang-Qi deficiency is associated with clinically significant fatigue in breast cancer patients. However, the association of Phlegm-Stasis syndrome and fatigue as disease duration increases cannot be ignored. Further studies are needed to determine whether treating both constitutions integrating TCM treatment can alleviate patients' fatigue symptoms.

SUBMITTER: Deng SM

PROVIDER: S-EPMC7817705 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Association between cancer-related fatigue and traditional Chinese medicine body constitution in female patients with breast cancer.

Deng Sheuh-Mei SM Chiu Aih-Fung AF Wu Shin-Chung SC Huang Yu-Chuen YC Huang Shu-Chuan SC Chen Shih-Yu SY Tsai Ming-Yen MY

Journal of traditional and complementary medicine 20200831 1

<h4>Background</h4>Cancer-related fatigue (CRF) is a common psychosomatic problem in breast cancer patients. Traditional Chinese medicine (TCM) has been used to address symptoms in patients with CRF. Identification of the specific constitution in TCM is essential for personalized care.<h4>Aim</h4>To explore the relationship between fatigue and specific constitutions in breast cancer.<h4>Experimental procedure</h4>We conducted a cross-sectional study in all breast cancer patients at Kaohsiung Cha ...[more]

PMID: 33511063

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Project description:BackgroundThe Traditional Chinese Medicine (TCM) Body Constitution Questionnaire (For Elderly People) (TCMECQ) is a patient-reported outcome questionnaire developed in Mandarin in 2013 to differentiate the body constitutions of the elderly aged 65 and above. Considering the cultural and linguistic differences between Mainland China and Hong Kong (HK) Special Administrative Region, the TCMECQ was translated into Cantonese following "back translation" policy and validated in proper process.MethodsTen Chinese Medicine Practitioners (CMPs) and 30 senior citizens aged 65 or above were recruited to evaluate the first version of the Traditional Chinese Medicine Body Constitution Questionnaire (For Elderly People) (Cantonese version) (TCMECQ-C). Based on their comments, the second version was developed and discussed in the panel meeting to form the third version, validated the third version on 270 recruited seniors. Based on the validation results, a panel of 5 experts finalized the Questionnaire as the final version. The TCMECQ-C developers finalized the Questionnaire as the validated endorsed third version (i.e. final version).ResultsThe item-level content validity index of most items of the TCMECQ-C (First Version) were ranging from 0.80 to 1.00 in terms of clarity, relevance and appropriateness. Factor loadings of Qi-deficiency Constitution ranging from 0.37 to 0.71, Yang-deficiency Constitution ranging from 0.36 to 0.65, Yin-deficiency Constitution ranging from 0.36 to 0.65, and Stagnant Qi Constitution ranging from 0.68 to 0.82. The chi-squared degree-of-freedom ratio was 2.13 (928.63/436), Goodness-of-Fit Index (0.83), Adjusted Goodness-of-Fit Index (0.79), Normed Fit Index (0.66), Comparative Fit Index (0.78), Incremental Fit Index (0.78), Relative Fit Index (0.61) and Tucker-Lewis Index (0.75), and Root Mean Square Error of Approximation (0.07) and Standardized Root Mean Square Residual (0.07), implied acceptable Confirmatory Factor Analysis model fit of the overall scale. A Pearson correlation coefficient (r) showed the sufficient convergent validity for excessive subscales (Phlegm-dampness Constitution and Dampness-heat Constitution with r = 0.35, p < 0.01). Cronbach's alpha coefficient ranged from 0.56 to 0.89, including Qi-deficiency Constitution (0.67), Yang-deficiency Constitution (0.84), Yin-deficiency Constitution (0.59), Stagnant Blood Constitution (0.56), Stagnant Qi Constitution (0.89), Inherited Special Constitution (0.76) and Balanced Constitution (0.73), indicating acceptable internal consistency for subscales. The intra-class correlation coefficients of the TCMECQ-C ranged from 0.70 to 0.87 (p < 0.001), indicating moderate to good test-retest reliability.ConclusionTCMECQ-C is a valid and reliable questionnaire for assessing the body constitution in Cantonese elderly.

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Dataset Information

Association between cancer-related fatigue and traditional Chinese medicine body constitution in female patients with breast cancer.

Background

Aim

Experimental procedure

Results

Conclusion

Publications

Association between cancer-related fatigue and traditional Chinese medicine body constitution in female patients with breast cancer.

Similar Datasets

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