Reliability, validity, and sensitivity of the Chinese Short-Form 36 Health Survey version 2 (SF-36v2) in women with breast cancer.

RATIONALE, AIMS, AND OBJECTIVES The psychometrics of the Short-Form 36 Health Survey version 2 (SF-36v2) in female breast cancer patients remains unknown. This study aimed to test the reliability, validity, and sensitivity of the Chinese SF-36v2 in women with breast cancer. METHODS The sample included 326 eligible participants. The reliability and the item convergent and discriminant validity were estimated using Cronbach α (≥0.70) and the multi-trait multi-item matrix analysis, respectively. The structural validity was tested using confirmatory factor analysis. Sensitivity was determined via an analysis of variance and the relative efficiency for initially diagnosed cases (yes vs no) as well as the time since diagnosis (years) before and after stratifying by initially diagnosed cases. RESULTS The overall Cronbach α was 0.91 (eight scales range: 0.72-0.92). All hypothesized item-scale correlations were greater than the alternatives (r ≥ 0.40). With acceptable model fit indices, the physical functioning, role-physical, bodily pain, and general health subscales had stronger contributions to the physical component summary (goodness-of-fit index [GFI]: 0.92, parsimony goodness-of-fit index [PGFI]: 0.60, comparative fit index [CFI]: 0.91, Tucker-Lewis index [TLI]: 0.93, adjusted goodness-of-fit index [AGFI]: 0.91, root mean square error of approximation [RMSEA]: 0.06, normed chi-squared [NC]: 2.65), while the vitality, social functioning, role-emotional, and mental health subscales contributed more to the mental component summary (GFI: 0.91, PGFI: 0.62, CFI: 0.91, TLI: 0.92, AGFI: 0.91, RMSEA: 0.07, NC: 2.76). The relative efficiencies with significant F-statistics were found for mental health (relative efficiency: 34.28; initially diagnosed cases), physical functioning (12.88; time since diagnosis), and physical functioning (5.80), role-physical (5.15), bodily pain (7.70), social functioning (4.62), role-emotional (4.72), mental health (4.75), and physical component summary (6.96; initially diagnosed cases with time since diagnosis; P < 0.05 for all variables). CONCLUSIONS Chinese SF-36v2 has acceptable psychometric properties and is suitable for women with breast cancer.

[1]  Miri Cohen,et al.  Symptom cluster of emotional distress, fatigue and cognitive difficulties among young and older breast cancer survivors: The mediating role of subjective stress. , 2018, Journal of geriatric oncology.

[2]  Wanqing Chen,et al.  [Incidence and mortality of female breast cancer in China, 2014]. , 2018, Zhonghua zhong liu za zhi [Chinese journal of oncology].

[3]  H. Rafiemanesh,et al.  Health-related quality of life of Iranian breast cancer patients: a meta-analysis and systematic review , 2018, Breast cancer research and treatment.

[4]  W. Yeo,et al.  Quality of life of young Chinese breast cancer patients after adjuvant chemotherapy , 2018, Cancer management and research.

[5]  Chung-Ying Lin,et al.  Validation of the modified Chinese Cancer Survivor's Unmet Needs (CaSUN‐C) for women with breast cancer , 2018, Psycho-oncology.

[6]  A. Gonçalves,et al.  Pain and quality of life in breast cancer patients , 2017, Clinics.

[7]  S. Zyoud,et al.  Cancer-related post-treatment pain and its impact on health-related quality of life in breast cancer patients: a cross sectional study in Palestine , 2017, Asia Pacific family medicine.

[8]  M. Yi,et al.  Clinicopathological features and survival of early stage breast cancer in northwest China: A population‐based retrospective study of 1287 patients , 2017, Thoracic cancer.

[9]  M. Hou,et al.  Symptom Cluster Trajectories During Chemotherapy in Breast Cancer Outpatients. , 2017, Journal of pain and symptom management.

[10]  M. Yamin,et al.  Validity and Reliability of the Indonesian Version of SF-36 Quality of Life Questionnaire on Patients with Permanent Pacemakers. , 2017, Acta medica Indonesiana.

[11]  Xian Zhang,et al.  Questionnaire to assess quality of life in patients with breast cancer - Validation of the Chinese version of the EORTC QLQ-BR 53. , 2017, Breast.

[12]  P. Gehrman,et al.  Insomnia in breast cancer: Independent symptom or symptom cluster? , 2016, Palliative and Supportive Care.

[13]  R. Malhotra,et al.  Validity and reliability of the Short Form 36 Health Surveys (SF-36) among patients with spondyloarthritis in Singapore , 2016, Rheumatology International.

[14]  Keiko Yamauchi,et al.  Validation of the Mongolian version of the SF-36v2 questionnaire for health status assessment of Mongolian adults , 2016, SpringerPlus.

[15]  W. Shen,et al.  Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer , 2016, Health and Quality of Life Outcomes.

[16]  U. Falkmer,et al.  "The ambiguous transforming body"--A phenomenological study of the meaning of weight changes among women treated for breast cancer. , 2016, International journal of nursing studies.

[17]  Minmin Wu,et al.  Reliability and validity of SF-36(v.2) scale in hospitalized patients with chronic heart failure , 2016 .

[18]  Y. Abe,et al.  Reliability and Validity of the Japanese Version of the Michigan Hand Outcomes Questionnaire: A Comparison with the DASH and SF-36 Questionnaires. , 2016, The journal of hand surgery Asian-Pacific volume.

[19]  S. Verma,et al.  Validation of the long-term quality of life breast cancer scale (LTQOL-BC) by health care professionals , 2015, Supportive Care in Cancer.

[20]  S. Fetzer,et al.  Delay in seeking medical evaluations and predictors of self-efficacy among women with newly diagnosed breast cancer: a longitudinal study. , 2014, International journal of nursing studies.

[21]  L. M. Costa,et al.  Assessment of the measurement properties of quality of life questionnaires in Brazilian women with breast cancer , 2014, Brazilian journal of physical therapy.

[22]  Chung-Ying Lin,et al.  Psychometric evaluation of the Short Form 36 Health Survey (SF-36) and the World Health Organization Quality of Life Scale Brief Version (WHOQOL-BREF) for patients with schizophrenia. , 2014, Psychological assessment.

[23]  Jersey Liang,et al.  Changes in and predictors of severity of fatigue in women with breast cancer: A longitudinal study. , 2014, International journal of nursing studies.

[24]  Shin-Cheh Chen,et al.  Education and psychological support meet the supportive care needs of Taiwanese women three months after surgery for newly diagnosed breast cancer: a non-randomised quasi-experimental study. , 2014, International journal of nursing studies.

[25]  Hong-mei Zhang,et al.  Psychometrics of the Short Form 36 Health Survey Version 2 (SF-36v2) and the Quality of Life Scale for Drug Addicts (QOL-DAv2.0) in Chinese Mainland Patients with Methadone Maintenance Treatment , 2013, PloS one.

[26]  Y. Cheung,et al.  Comparison of the measurement properties between a short and generic instrument, the 5-level EuroQoL Group’s 5-dimension (EQ-5D-5L) questionnaire, and a longer and disease-specific instrument, the Functional Assessment of Cancer Therapy—Breast (FACT-B), in Asian breast cancer patients , 2013, Quality of Life Research.

[27]  Xiaogang Su,et al.  A revision of the quality of life-breast cancer survivors (QOL-BCS) instrument. , 2013, Research in nursing & health.

[28]  M. Latorre,et al.  Validity, reliability and understanding of the EORTC-C30 and EORTC-BR23, quality of life questionnaires specific for breast cancer. , 2013, Revista brasileira de epidemiologia = Brazilian journal of epidemiology.

[29]  M. Zhang,et al.  Reliability, validity and sensitivity of the Chinese (simple) Short Form 36 Health Survey version 2 (SF‐36v2) in patients with chronic hepatitis B , 2013, Journal of viral hepatitis.

[30]  K. Ashing-Giwa,et al.  Assessing health‐related quality of life of Chinese‐American breast cancer survivors: a measurement validation study , 2013, Psycho-oncology.

[31]  C. Travassos,et al.  Psychometric evaluation of the SF-36 (v.2) questionnaire in a probability sample of Brazilian households: results of the survey Pesquisa Dimensões Sociais das Desigualdades (PDSD), Brazil, 2008 , 2011, Health and quality of life outcomes.

[32]  X. Tu,et al.  Validation of the simplified Chinese version of the FACT-B for measuring quality of life for patients with breast cancer , 2007, Breast Cancer Research and Treatment.

[33]  D. Cella,et al.  Validation of the Functional Assessment of Cancer Therapy-Breast Symptom Index (FBSI) , 2005, Breast Cancer Research and Treatment.

[34]  M. Hjermstad,et al.  Translation and performance of the Norwegian SF-36 Health Survey in patients with rheumatoid arthritis. I. Data quality, scaling assumptions, reliability, and construct validity. , 1998, Journal of clinical epidemiology.

[35]  D S Tulsky,et al.  Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument. , 1997, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[36]  Jinming Yu,et al.  Predictors of the quality of life in Chinese breast cancer survivors , 2017, Breast Cancer Research and Treatment.

[37]  N. Avis,et al.  Evaluation of the Quality of Life in Adult Cancer Survivors (QLACS) scale for early post-treatment breast cancer survivors , 2014, Quality of Life Research.