Top

Gepubliceerd in:

30-07-2021

Psychometric properties of the Chinese version of the Courtauld Emotional Control Scale in women newly diagnosed with breast cancer

Auteurs: Yao Liu, Yan Han, Xiang Wang, Yaoxin Chen, Qingqian Mo, Lingyan Li, Yuping Wang, Jie Fan, Yanjie Yang, Tamini Soondrum, Xiongzhao Zhu

Gepubliceerd in: Quality of Life Research | Uitgave 3/2022

Abstract

Purpose

Emotional control, the attempt to suppress the expression of negative effects, is an essential factor in the prevalence of psychological distress in women with breast cancer. The Courtauld Emotional Control Scale (CECS) is a commonly used self-report tool for assessing emotional suppression in both clinical and general groups. This study aimed to validate the Chinese version of the Courtauld Emotional Control Scale (CECS) in women newly diagnosed with breast cancer.

Methods

The study involved 680 women newly diagnosed with breast cancer aged 25 to 76 (mean age = 48.19, standard deviation (SD) = 8.57) from Changsha (China). Data analysis included Cronbach's alpha coefficients, the intraclass correlation coefficient (ICC), Pearson's correlations, Independent-Samples T test, confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were conducted to determine the optimal model. For the best fitting model stability was assessed with tests for invariance across age, educational level, and employment status.

Results

Internal consistency (α = 0.987) and test–retest reliability (ICC = 0.715) of the CECS were presented. Results confirm the structure of the Chinese version of the CECS with 21 items divided into three dimensions, anger suppression (CECS_AG), depression suppression (CECS_MD), and anxiety suppression (CECS_AX). Convergent and known-groups validity were acceptable. Additionally, this model remained invariant across age, educational levels, and employment status.

Conclusions

The Chinese version of the CECS has good psychometric properties in terms of reliability and validity, remaining invariant across age, educational levels, and employment status in women newly diagnosed with breast cancer.

vorige artikel The expanded prostate cancer index composite short form (EPIC-26) for measuring health-related quality of life: content analysis of patients’ spontaneous comments written in survey margins

volgende artikel Equivalence testing of a newly developed interviewer-led telephone script for the EORTC QLQ-C30

Alleen toegankelijk voor geautoriseerde gebruikers

Sun, D., Cao, M., Li, H., He, S., & Chen, W. (2020). Cancer burden and trends in China: A review and comparison with Japan and South Korea. Chinese Journal of Cancer Research. https://doi.org/10.21147/j.issn.1000-9604.2020.02.01CrossRefPubMedPubMedCentral

Conley, C. C., Bishop, B. T., & Andersen, B. L. (2016). Emotions and emotion regulation in breast cancer survivorship. Healthcare (Basel). https://doi.org/10.3390/healthcare4030056CrossRef

Nakatani, Y., Iwamitsu, Y., Kuranami, M., Okazaki, S., Shikanai, H., Yamamoto, K., Watanabe, M., & Miyaoka, H. (2014). The relationship between emotional suppression and psychological distress in breast cancer patients after surgery. Japanese Journal of Clinical Oncology. https://doi.org/10.1093/jjco/hyu089CrossRefPubMedPubMedCentral

Greer, S., & Morris, T. (1975). Psychological attributes of women who develop breast cancer: A controlled study. Journal of Psychosomatic Research. https://doi.org/10.1016/0022-3999(75)90062-8CrossRefPubMed

Schlatter, M. C., & Cameron, L. D. (2010). Emotional suppression tendencies as predictors of symptoms, mood, and coping appraisals during AC chemotherapy for breast cancer treatment. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine. https://doi.org/10.1007/s12160-010-9204-6CrossRef

Giese-Davis, J., Koopman, C., Butler, L. D., Classen, C., Cordova, M., Fobair, P., Benson, J., Kraemer, H. C., & Spiegel, D. (2002). Change in emotion-regulation strategy for women with metastatic breast cancer following supportive-expressive group therapy. Journal of Consulting and Clinical Psychology. https://doi.org/10.1037/0022-006x.70.4.916CrossRefPubMed

Morris, T., Greer, S., Pettingale, K. W., & Watson, M. (1981). Patterns of expression of anger and their psychological correlates in women with breast cancer. Journal of Psychosomatic Research. https://doi.org/10.1016/0022-3999(81)90098-2CrossRefPubMed

Ando, N., Iwamitsu, Y., Kuranami, M., Okazaki, S., Nakatani, Y., Yamamoto, K., Watanabe, M., & Miyaoka, H. (2011). Predictors of psychological distress after diagnosis in breast cancer patients and patients with Benign breast problems. Psychosomatics. https://doi.org/10.1016/j.psym.2010.11.012CrossRefPubMed

Iwamitsu, Y., Shimoda, K., Abe, H., Tani, T., Okawa, M., & Buck, R. (2005). Anxiety, emotional suppression, and psychological distress before and after breast cancer diagnosis. Psychosomatics. https://doi.org/10.1176/appi.psy.46.1.19CrossRefPubMed

10.

Temoshok, L. (1987). Personality, coping style, emotion and cancer: towards an integrative model. Cancer Surveys, 6(3), 545–567PubMed

11.

Ehring, T., & Quack, D. (2010). Emotion regulation difficulties in trauma survivors: The role of trauma type and PTSD symptom severity. Behavior Therapy. https://doi.org/10.1016/j.beth.2010.04.004CrossRefPubMed

12.

Khan, A. J., O’Donovan, A., Neylan, T. C., Gross, J. J., & Cohen, B. E. (2020). Suppression, but not reappraisal, is associated with inflammation in trauma-exposed veterans. Psychoneuroendocrinology. https://doi.org/10.1016/j.psyneuen.2020.104871CrossRefPubMedPubMedCentral

13.

Andreu, Y., Galdón, M. J., Durá, E., Martínez, P., Pérez, S., & Murgui, S. (2012). A longitudinal study of psychosocial distress in breast cancer: Prevalence and risk factors. Psychology & Health. https://doi.org/10.1080/08870446.2010.542814CrossRef

14.

Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology. https://doi.org/10.1037/0022-3514.85.2.348CrossRefPubMed

15.

Spiegel, D., & Sephton, S. E. (2001). Psychoneuroimmune and endocrine pathways in cancer: Effects of stress and support. Seminars in Clinical Neuropsychiatry. https://doi.org/10.1053/scnp.2001.26995CrossRefPubMed

16.

Petrie, K. J., Booth, R. J., & Pennebaker, J. W. (1998). The immunological effects of thought suppression. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.75.5.1264CrossRefPubMed

17.

Jorgensen, R. S., Johnson, B. T., Kolodziej, M. E., & Schreer, G. E. (1996). Elevated blood pressure and personality: A meta-analytic review. Psychological Bulletin. https://doi.org/10.1037/0033-2909.120.2.293CrossRefPubMed

18.

Brandao, T., Tavares, R., Schulz, M. S., & Matos, P. M. (2016). Measuring emotion regulation and emotional expression in breast cancer patients: A systematic review. Clinical Psychology Review. https://doi.org/10.1016/j.cpr.2015.10.002CrossRefPubMed

19.

Schafer, J. O., Naumann, E., Holmes, E. A., Tuschen-Caffier, B., & Samson, A. C. (2017). Emotion regulation strategies in depressive and anxiety symptoms in youth: A meta-analytic review. Journal of Youth and Adolescene. https://doi.org/10.1007/s10964-016-0585-0CrossRef

20.

Watson, M., Greer, S., Rowden, L., Gorman, C., Robertson, B., Bliss, J. M., & Tunmore, R. (1991). Relationships between emotional control, adjustment to cancer and depression and anxiety in breast cancer patients. Psychological Medicine. https://doi.org/10.1017/s0033291700014641CrossRefPubMed

21.

Li, L., Yang, Y., He, J., Yi, J., Wang, Y., Zhang, J., & Zhu, X. (2015). Emotional suppression and depressive symptoms in women newly diagnosed with early breast cancer. BMC Women’s Health. https://doi.org/10.1186/s12905-015-0254-6CrossRefPubMedPubMedCentral

22.

Watson, M., & Greer, S. (1983). Development of a questionnaire measure of emotional control. Journal of Psychosomatic Research. https://doi.org/10.1016/0022-3999(83)90052-1CrossRefPubMed

23.

Juczyński, Z., & Adamiak, G. (2000). Psychological and behavioral predictors of the quality of life of people with multiple sclerosis. Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego, 8(48), 413–415

24.

Durá, E., Andreu, Y., Galdón, M. J., Ibáñez, E., Pérez, S., Ferrando, M., Murgui, S., & Martínez, P. (2010). Emotional suppression and breast cancer: Validation research on the Spanish Adaptation of the Courtauld Emotional Control Scale (CECS). The Spanish Journal of Psychology. https://doi.org/10.1017/s1138741600003966CrossRefPubMed

25.

Patrão, I., & Leal, l. (2004). Approach to the Psychosocial Impact of the breast Illness. Psicologia, Sa_ude & Doenc

26.

Cohen, M. (2013). The association of cancer patients’ emotional suppression and their self-rating of psychological distress on short screening tools. Behavioral Medicine. https://doi.org/10.1080/08964289.2012.731440CrossRefPubMed

27.

Okyayuz, Ü. H. (1993). Use of toronto alexithymia scale and courtould emotional control scale in Turkish population. Türk Psikiyatri Dergisi, 4(1)

28.

Ho, R. T., Chan, C. L., & Ho, S. M. (2004). Emotional control in Chinese female cancer survivors. Psycho-Oncology. https://doi.org/10.1002/pon.799CrossRefPubMed

29.

Iwamitsu, Y., Shimoda, K., & Aiura, R. (2003). Reliability and validity of the Japanese version of the Courtauld Emotional Control Scale (CECS). Japanese Journal of Psychiatry Treatment., 208, 145–152.

30.

Li, L., Zhu, X., Chen, G., Wang, Y., Cai, L., & Yang, Y. (2013). Chinese version of courtauld emotional control scale: Reliability and validity. Chinese Journal of Clinical Psychology. https://doi.org/10.16128/j.cnki.1005-3611.2013.02.006CrossRef

31.

Kossakowska, M. M., Ciescinska, C., Jaszewska, J., & Placek, W. J. (2010). Control of negative emotions and its implication for illness perception among psoriasis and vitiligo patients. Journal of the European Academy of Dermatology and Venereology: JEADV. https://doi.org/10.1111/j.1468-3083.2009.03432.xCrossRefPubMed

32.

Trombelli, L., Scapoli, C., Tatakis, D. N., & Grassi, L. (2005). Modulation of clinical expression of plaque-induced gingivitis: Effects of personality traits, social support and stress. Journal of Clinical Periodontology. https://doi.org/10.1111/j.1600-051X.2005.00835.xCrossRefPubMed

33.

Płaszewska-Żywko, L., & Gazda, D. (2012). Emotional reactions and needs of family members of ICU patients. Anaesthesiology Intensive Therapy, 44(3), 145–149PubMed

34.

Samuel, L., & Cohen, M. (2018). Expressive suppression and emotional eating in older and younger adults: An exploratory study. Archives of Gerontology and Geriatrics. https://doi.org/10.1016/j.archger.2018.06.012CrossRefPubMed

35.

Koopman, C., Angell, K., Turner-Cobb, J. M., Kreshka, M. A., Donnelly, P., McCoy, R., Turkseven, A., Graddy, K., Giese-Davis, J., & Spiegel, D. (2001). Distress, coping, and social support among rural women recently diagnosed with primary breast cancer. The breast journal. https://doi.org/10.1046/j.1524-4741.2001.007001025.xCrossRefPubMed

36.

Cybulski, M., Cybulski, L., Krajewska-Kulak, E., & Cwalina, U. (2017). The level of emotion control, anxiety, and self-efficacy in the elderly in Bialystok. Poland. Clinical Interventions in Aging. https://doi.org/10.2147/cia.s128717CrossRef

37.

Janowski, K., Kurpas, D., Kusz, J., Mroczek, B., & Jedynak, T. (2013). Health-related behavior, profile of health locus of control and acceptance of illness in patients suffering from chronic somatic diseases. PLoS ONE. https://doi.org/10.1371/journal.pone.0063920CrossRefPubMedPubMedCentral

38.

Levkovich, I., Cohen, M., Alon, S., Kuchuk, I., Nissenbaum, B., Evron, E., Pollack, S., & Fried, G. (2018). Symptom cluster of emotional distress, fatigue and cognitive difficulties among young and older breast cancer survivors: The mediating role of subjective stress. Journal of Geriatric Oncology. https://doi.org/10.1016/j.jgo.2018.05.002CrossRefPubMed

39.

Wagner, J. F., Lüdders, D., Hoellen, F., Rody, A., & Banz-Jansen, C. (2019). Treatment anxiety in breast cancer patients. Archives of Gynecology Obstetrics. https://doi.org/10.1007/s00404-018-05038-zCrossRefPubMed

40.

Jones, S. L., Hadjistavropoulos, H. D., & Gullickson, K. (2014). Understanding health anxiety following breast cancer diagnosis. Psychology, Health & Medicine. https://doi.org/10.1080/13548506.2013.845300CrossRefPubMedPubMedCentral

41.

Hassan, M. R., Shah, S. A., Ghazi, H. F., Mohd Mujar, N. M., Samsuri, M. F., & Baharom, N. (2015). Anxiety and depression among breast cancer patients in an urban setting in Malaysia. Asian Pacific Journal of Cancer Prevention: APJCP. https://doi.org/10.7314/apjcp.2015.16.9.4031CrossRefPubMed

42.

Li, D., Cui, Y., Wang, S., & Chen, X. (2016). Research on emotional disorders and health-related quality of life in patients with breast cancer during postoperative chemotherapy. Chinese Journal of Cancer Prevention and Treatment. https://doi.org/10.16073/j.cnki.cjcpt.2016.15.002CrossRef

43.

Broemer, L., Friedrich, M., Wichmann, G., Müller, J., Neumuth, T., Dietz, A., Mehnert, A., Wiegand, S., & Zebralla, V. (2021). Exploratory study of functional and psychological factors associated with employment status in patients with head and neck cancer. Head & Neck. https://doi.org/10.1002/hed.26595CrossRef

44.

Tan, E. J., Cistullo, L., Castle, D. J., Rossell, S. L., Jenkins, Z. M., & Phillipou, A. (2020). Depression, perceived disability and unemployment are associated with reduced life satisfaction in anorexia nervosa. Eating Disorders. https://doi.org/10.1080/10640266.2020.1836890CrossRefPubMed

45.

Schmitt, N., & Kuljanin, G. (2008). Measurement invariance: Review of practice and implications. Human Resource Management Review. https://doi.org/10.1016/j.hrmr.2008.03.003CrossRef

46.

Wu, W., Lu, Y., Tan, F., Yao, S., Steca, P., Abela, J. R., & Hankin, B. L. (2012). Assessing measurement invariance of the children’s depression inventory in Chinese and Italian primary school student samples. Assessment. https://doi.org/10.1177/1073191111421286CrossRefPubMed

47.

French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1207/s15328007sem1303_3CrossRef

48.

Garnefski, N., & Spinhoven, V. K. P. (2001). Negative life events, cognitive emotion regulation and emotional problems. Personality and Individual Differences. https://doi.org/10.1016/S0191-8869(00)00113-6CrossRef

49.

Aldao, A., & Nolen-Hoeksema, S. (2010). Specificity of cognitive emotion regulation strategies: A transdiagnostic examination. Behaviour Research Therapy. https://doi.org/10.1016/j.brat.2010.06.002CrossRefPubMed

50.

Zhu, X., Auerbach, R. P., Yao, S., Abela, J. R. Z., Xiao, J., & Tong, X. (2008). Psychometric properties of the Cognitive Emotion Regulation Questionnaire: Chinese version. Cognition & Emotion. https://doi.org/10.1080/02699930701369035CrossRef

51.

John, O. P., & Gross, J. J. (2004). Healthy and unhealthy emotion regulation: Personality processes, individual differences, and life span development. Journal of Personality. https://doi.org/10.1111/j.1467-6494.2004.00298.xCrossRefPubMed

52.

Nezlek, J. B., & Kuppens, P. (2008). Regulating positive and negative emotions in daily life. Journal of Personality. https://doi.org/10.1111/j.1467-6494.2008.00496.xCrossRefPubMed

53.

Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. https://doi.org/10.1177/014662167700100306CrossRef

54.

Zhang, Y., Ting, R. Z., Lam, M. H., Lam, S. P., Yeung, R. O., Nan, H., Ozaki, R., Luk, A. O., Kong, A. P., Wing, Y. K., Sartorius, N., & Chan, J. C. (2015). Measuring depression with CES-D in Chinese patients with type 2 diabetes: The validity and its comparison to PHQ-9. BMC Psychiatry. https://doi.org/10.1186/s12888-015-0580-0CrossRefPubMedPubMedCentral

55.

Jiang, L., Wang, Y., Zhang, Y., Li, R., Wu, H., Li, C., Wu, Y., & Tao, Q. (2019). The reliability and validity of the Center for Epidemiologic Studies Depression Scale (CES-D) for Chinese University Students. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2019.00315CrossRefPubMedPubMedCentral

56.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw Hill.

57.

Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin. https://doi.org/10.1037/0033-2909.86.2.420CrossRefPubMed

58.

Morin, A. J. S., Arens, A. K., & Marsh, H. W. (2015). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705511.2014.961800CrossRef

59.

Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705510903008204CrossRef

60.

Marsh, H. W., Morin, A. J., Parker, P. D., & Kaur, G. (2014). Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis. Annual Review of Clinical Psychology. https://doi.org/10.1146/annurev-clinpsy-032813-153700CrossRefPubMed

61.

Morin, A., Marsh, H., & Nagengast, B. (2013). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 2, 395–438.

62.

Muthén, L. K., & Muthén, B. O. (1998–2017). Mplus User's Guide. Eighth Edition. Los Angeles, CA: Muthén & Muthén

63.

Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika. https://doi.org/10.1007/s11336-016-9506-0CrossRefPubMedPubMedCentral

64.

Hu, L.-T., & Bentler, P. M. (1995). Evaluating model fit. Structural equation modeling: Concepts, issues, and applications (pp. 76–99). Thousand Oaks, CA: Sage Publications Inc.

65.

Wen, Z. L., Hou, J. T., & Marsh, H. W. (2004). Structural equation model testing: cutoff criteria for goodness of fit indices and chi-square test. Acta Psychologica Sinica, 36(2), 186–194

66.

Brown, T. A. (2013). Latent Variable Measurement Models. https://doi.org/10.1093/oxfordhb/9780199934898.013.0013CrossRef

67.

Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705510701301834CrossRef

68.

Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods. https://doi.org/10.1177/109442810031002CrossRef

69.

Li, L., Li, S., Wang, Y., Yang, Y., & Zhu, X. (2019). Factor structure and measurement invariance for the Cognitive Emotion Regulation Questionnaire (CERQ) among women newly diagnosed with breast cancer. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.01132CrossRefPubMedPubMedCentral

70.

Du, Z., Zhang, B., Lin, M., Tian, Y., Jing, L., Liu, S., Cheng, Y., Shi, L., Sun, Y., & Xing, L. (2021). The epidemiology of atrial fibrillation in Chinese postmenopausal women and its association with age of menopause. Maturitas. https://doi.org/10.1016/j.maturitas.2020.10.010CrossRefPubMed

71.

Cai, W. Z. (2011). Nursing of gynecology and obstetrics. Peking: Peking Union Medical College Press.

72.

Lu, W., Zhou, Y., & Zhang, H. (2020). Perimenopausal symptoms and quality of life: Chain mediation of sleep quality and depression. Chinese Journal of Clinical Psychology. https://doi.org/10.16128/j.cnki.1005-3611.2020.04.035CrossRefPubMed

73.

Fu, S., Li, N., & Luo, C. (2017). Analysis for symptoms of perimenopause and related factors. Journal of Developmental Medicine, 5(2), 78–82

74.

Kline, R. B. (2005). Principles and practice of structural equation modeling. New York: Guilford.

75.

Zwaanswijk, W., Veen, V. C., & Vedder, P. (2017). The youth psychopathic traits inventory: A bifactor model, dimensionality, and measurement invariance. Assessment. https://doi.org/10.1177/1073191116632340CrossRefPubMed

76.

Dai, L., Bailey, R., & Deng, Y. (2018). The reliability and validity of the Chinese version of the Metacognitions about Health Questionnaire in college students. Quality of Life Research. https://doi.org/10.1007/s11136-017-1780-5CrossRefPubMed

77.

Shrout, P. E. (1998). Measurement reliability and agreement in psychiatry. Statistical Methods in Medical Research. https://doi.org/10.1177/096228029800700306CrossRefPubMed

78.

Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705519909540118CrossRef

79.

Markus, K. A. (2012). Principles and practice of structural equation modeling by Rex B. Kline. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705511.2012.687667CrossRef

80.

Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research. https://doi.org/10.1207/s15327906mbr2502_4CrossRefPubMed

81.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. London: Routledge.

82.

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1207/s15328007sem0902_5CrossRef

83.

Li, L., Zhu, X., Yang, Y., He, J., Yi, J., Wang, Y., & Zhang, J. (2015). Cognitive emotion regulation: Characteristics and effect on quality of life in women with breast cancer. Health and quality of life outcomes. https://doi.org/10.1186/s12955-015-0242-4CrossRefPubMedPubMedCentral

84.

DeVellis, R. F. (1991). Scale development: Theory and applications. Sage Publications, Inc.

85.

Yang, Yu, X., Li, Y., & Li, X. M. (2016). The relationship between personality, emotional control and the incidence of female breast cancer. China Journal of Health Psychology

86.

Huh, H. J., Kim, K. H., Lee, H. K., & Chae, J. H. (2017). The relationship between childhood trauma and the severity of adulthood depression and anxiety symptoms in a clinical sample: The mediating role of cognitive emotion regulation strategies. Journal of Affective Disorders. https://doi.org/10.1016/j.jad.2017.02.009CrossRefPubMed

87.

Coffey, M. R., Bachman, K. C., Worrell, S. G., Argote-Greene, L. M., Linden, P. A., & Towe, C. W. (2021). Concurrent diagnosis of anxiety increases postoperative length of stay among patients receiving esophagectomy for esophageal cancer. Psycho-Oncology. https://doi.org/10.1002/pon.5707CrossRefPubMed

88.

Del Vecchio, T., & O’Leary, K. D. (2004). Effectiveness of anger treatments for specific anger problems: A meta-analytic review. Clinical Psychology Review. https://doi.org/10.1016/j.cpr.2003.09.006CrossRefPubMed

89.

James, S., Reddy, S. P., Ellahebokus, A., Sewpaul, R., & Naidoo, P. (2017). The association between adolescent risk behaviours and feelings of sadness or hopelessness: A cross-sectional survey of South African secondary school learners. Psychology, Health & Medicine. https://doi.org/10.1080/13548506.2017.1300669CrossRef

90.

Suinn, R. M. (2001). The terrible twos–anger and anxiety. Hazardous to your health. The American Psychologist. https://doi.org/10.1037/0003-066x.56.1.27CrossRefPubMed

91.

Nakamura, S., Kato, K., Yoshida, A., Fukuma, N., Okumura, Y., Ito, H., & Mizuno, K. (2013). Prognostic value of depression, anxiety, and anger in hospitalized cardiovascular disease patients for predicting adverse cardiac outcomes. The American Journal of Cardiology. https://doi.org/10.1016/j.amjcard.2013.01.293CrossRefPubMed

92.

Penedo, F. J., Dahn, J. R., Kinsinger, D., Antoni, M. H., Molton, I., Gonzalez, J. S., Fletcher, M. A., Roos, B., Carver, C. S., & Schneiderman, N. (2006). Anger suppression mediates the relationship between optimism and natural killer cell cytotoxicity in men treated for localized prostate cancer. Journal of Psychosomatic Research. https://doi.org/10.1016/j.jpsychores.2005.08.001CrossRefPubMed

93.

Ando, N., Iwamitsu, Y., Kuranami, M., Okazaki, S., Wada, M., Yamamoto, K., Todoroki, K., Watanabe, M., & Miyaoka, H. (2009). Psychological characteristics and subjective symptoms as determinants of psychological distress in patients prior to breast cancer diagnosis. Supportive Care in Cancer. https://doi.org/10.1007/s00520-009-0593-7CrossRefPubMed

Titel: Psychometric properties of the Chinese version of the Courtauld Emotional Control Scale in women newly diagnosed with breast cancer
Auteurs: Yao Liu
Yan Han
Xiang Wang
Yaoxin Chen
Qingqian Mo
Lingyan Li
Yuping Wang
Jie Fan
Yanjie Yang
Tamini Soondrum
Xiongzhao Zhu
Publicatiedatum: 30-07-2021
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 3/2022
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-021-02953-8

Open Access

Maintenance of high quality of life as an indicator of resilience during COVID-19 social distancing among community-dwelling older adults in Finland

Open Access

The ICECAP-A instrument for capabilities: assessment of construct validity and test–retest reliability in a general Dutch population

Open Access

Methodological approach for determining the Minimal Important Difference and Minimal Important Change scores for the European Organisation for Research and Treatment of Cancer Head and Neck Cancer Module (EORTC QLQ-HN43) exemplified by the Swallowing scale

Open Access

Health-related quality of life among breast cancer patients compared to cancer survivors and age-matched women in the general population in Vietnam

Open Access

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Psychometric properties of the Chinese version of the Courtauld Emotional Control Scale in women newly diagnosed with breast cancer

Abstract

Purpose

Methods

Results

Conclusions

Andere artikelen Uitgave 3/2022

Improving respiratory muscle strength and health status in burn patients: a randomized controlled trial

Assessing measurement invariance in the EORTC QLQ-C30

Maintenance of high quality of life as an indicator of resilience during COVID-19 social distancing among community-dwelling older adults in Finland

The ICECAP-A instrument for capabilities: assessment of construct validity and test–retest reliability in a general Dutch population

Methodological approach for determining the Minimal Important Difference and Minimal Important Change scores for the European Organisation for Research and Treatment of Cancer Head and Neck Cancer Module (EORTC QLQ-HN43) exemplified by the Swallowing scale

Health-related quality of life among breast cancer patients compared to cancer survivors and age-matched women in the general population in Vietnam

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Improving respiratory muscle strength and health status in burn patients: a randomized controlled trial

Assessing measurement invariance in the EORTC QLQ-C30

Maintenance of high quality of life as an indicator of resilience during COVID-19 social distancing among community-dwelling older adults in Finland

The ICECAP-A instrument for capabilities: assessment of construct validity and test–retest reliability in a general Dutch population

Methodological approach for determining the Minimal Important Difference and Minimal Important Change scores for the European Organisation for Research and Treatment of Cancer Head and Neck Cancer Module (EORTC QLQ-HN43) exemplified by the Swallowing scale

Health-related quality of life among breast cancer patients compared to cancer survivors and age-matched women in the general population in Vietnam