Abstract
Purpose
The aim of this study was to examine profiles of depressive symptoms and the association with anxiety and quality of life (QOL) in breast cancer survivors.
Methods
A cross-sectional multicenter survey involving 5 hospitals in Korea was implemented between February 2015 and January 2017. A self-report survey included the Patient Health Questionnaire-9, Short Form 36, and State and Trait Anxiety Scale. Data from 347 patients were analyzed.
Results
Latent profile analysis identified five profiles of depressive symptoms: (1) “no depression” (63.98%); (2) “mild depression with sleep problems” (16.43%); (3) “mild depression” (8.65%); (4) “moderate depression with anhedonia” (7.78%); and (5) “moderately severe depression” (3.17%). Results from Fisher’s exact test and analysis of variance (ANOVA) to examine whether sociodemographic and clinical characteristics distinguish the classes indicated that marital status, income and education as well as C-reactive protein distinguished a few classes. Multivariate analysis of covariance and analysis of covariance results indicated that both types of anxiety as well as several dimensions of QOL differed between the identified classes.
Conclusions
The current results suggest that although identified classes were characterized overall by severity of depression, a few classes also reflected pronounced individual symptom patterns, warranting tailored interventions for these symptom patterns, along with overall severity of depression.
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References
Kang, J. I., Sung, N. Y., Park, S. J., Lee, C. G., & Lee, B. O. (2014). The epidemiology of psychiatric disorders among women with breast cancer in South Korea: Analysis of national registry data. Psycho-Oncology,23(1), 35–39.
Hutter, N., Vogel, B., Alexander, T., Baumeister, H., Helmes, A., & Bengel, J. (2013). Are depression and anxiety determinants or indicators of quality of life in breast cancer patients? Psychology, Health & Medicine,18(4), 412–419.
Vodermaier, A., Linden, W., Rnic, K., Young, S. N., Ng, A., Ditsch, N., et al. (2014). Prospective associations of depression with survival: A population-based cohort study in patients with newly diagnosed breast cancer. Breast Cancer Research and Treatment,143(2), 373–384.
Andersen, B. L., DeRubeis, R. J., Berman, B. S., Gruman, J., Champion, V. L., Massie, M. J., et al. (2014). Screening, assessment, and care of anxiety and depressive symptoms in adults with cancer: An American Society of Clinical Oncology guideline adaptation. Journal of Clinical Oncology,32(15), 1605–1619.
Fried, E. I., & Nesse, R. M. (2015). Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR* D study. Journal of Affective Disorders,172, 96–102.
Fried, E. I., Nesse, R. M., Zivin, K., Guille, C., & Sen, S. (2014). Depression is more than the sum score of its parts: Individual DSM symptoms have different risk factors. Psychological Medicine,44(10), 2067–2076.
Fried, E. I., & Nesse, R. M. (2014). The impact of individual depressive symptoms on impairment of psychosocial functioning. PLoS ONE,9(2), e90311.
Lux, V., & Kendler, K. (2010). Deconstructing major depression: A validation study of the DSM-IV symptomatic criteria. Psychological Medicine,40(10), 1679–1690.
Silverstein, B., & Patel, P. (2011). Poor response to antidepressant medication of patients with depression accompanied by somatic symptomatology in the STAR* D Study. Psychiatry Research,187(1), 121–124.
Solomon, A., Haaga, D. A., & Arnow, B. A. (2001). Is clinical depression distinct from subthreshold depressive symptoms? A review of the continuity issue in depression research. The Journal of Nervous and Mental Disease,189(8), 498–506.
Deshields, T., Tibbs, T., Fan, M. Y., & Taylor, M. (2006). Differences in patterns of depression after treatment for breast cancer. Psycho-Oncology,15(5), 398–406.
Stanton, A. L., Wiley, J. F., Krull, J. L., Crespi, C. M., Hammen, C., Allen, J. J., et al. (2015). Depressive episodes, symptoms, and trajectories in women recently diagnosed with breast cancer. Breast Cancer Research and Treatment,154(1), 105–115.
Zhu, L., Ranchor, A. V., van der Lee, M., Garssen, B., Sanderman, R., & Schroevers, M. J. (2016). Subtypes of depression in cancer patients: An empirically driven approach. Supportive Care in Cancer,24(3), 1387–1396.
Saracino, R. M., Cham, H., Rosenfeld, B., & Nelson, J. C. (2018). Latent profile analyses of depressive symptoms in younger and older oncology patients. Assessment. https://doi.org/10.1177/1073191118784653.
Han, C., Jo, S. A., Kwak, J.-H., Pae, C.-U., Steffens, D., Jo, I., et al. (2008). Validation of the Patient Health Questionnaire-9 Korean version in the elderly population: The Ansan Geriatric study. Comprehensive Psychiatry,49(2), 218–223.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The phq-9. Journal of General Internal Medicine,16(9), 606–613.
Han, C.-W., Lee, E.-J., Iwaya, T., Kataoka, H., & Kohzuki, M. (2004). Development of the Korean version of Short-Form 36-Item Health Survey: Health related QOL of healthy elderly people and elderly patients in Korea. The Tohoku Journal of Experimental Medicine,203(3), 189–194.
Hahn, D.-W. L., Lee, C.-H., & Chon, K.-K. (1996). Korean adaptation of spielberger’s STAI (K-STAI). Korean Journal of Health Psychology,1(1), 1–14.
Berlin, K. S., Williams, N. A., & Parra, G. R. (2014). An introduction to latent variable mixture modeling (part 1): Overview and cross-sectional latent class and latent profile analyses. Journal of Pediatric Psychology,39(2), 174–187.
Lubke, G., & Muthén, B. O. (2007). Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters. Structural Equation Modeling,14(1), 26–47.
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling,14(4), 535–569.
Van Loo, H. M., De Jonge, P., Romeijn, J.-W., Kessler, R. C., & Schoevers, R. A. (2012). Data-driven subtypes of major depressive disorder: A systematic review. BMC Medicine,10(1), 156.
Savard, J., Simard, S., Blanchet, J., Ivers, H., & Morin, C. M. (2001). Prevalence, clinical characteristics, and risk factors for insomnia in the context of breast cancer. Sleep,24(5), 583–590.
Sharpley, C. F., Bitsika, V., & Christie, D. H. (2013). Do prostate cancer patients suffer more from depressed mood or anhedonia? Psycho-Oncology,22(8), 1718–1723.
Jeon, H. J., Peng, D., Chua, H. C., Srisurapanont, M., Fava, M., Bae, J.-N., et al. (2013). Melancholic features and hostility are associated with suicidality risk in Asian patients with major depressive disorder. Journal of Affective Disorders,148(2–3), 368–374.
Winer, E. S., Nadorff, M. R., Ellis, T. E., Allen, J. G., Herrera, S., & Salem, T. (2014). Anhedonia predicts suicidal ideation in a large psychiatric inpatient sample. Psychiatry Research,218(1), 124–128.
Qiu, J., Yang, M., Chen, W., Gao, X., Liu, S., Shi, S., et al. (2012). Prevalence and correlates of major depressive disorder in breast cancer survivors in Shanghai, China. Psycho-Oncology,21(12), 1331–1337.
Mehnert, A., & Koch, U. (2008). Psychological comorbidity and health-related quality of life and its association with awareness, utilization, and need for psychosocial support in a cancer register-based sample of long-term breast cancer survivors. Journal of Psychosomatic Research,64(4), 383–391.
Kim, S. H., Son, B. H., Hwang, S. Y., Han, W., Yang, J.-H., Lee, S., et al. (2008). Fatigue and depression in disease-free breast cancer survivors: Prevalence, correlates, and association with quality of life. Journal of Pain and Symptom Management,35(6), 644–655.
Felger, J. C., Li, Z., Haroon, E., Woolwine, B. J., Jung, M. Y., Hu, X., et al. (2016). Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression. Molecular Psychiatry,21(10), 1358.
Pierce, B. L., Ballard-Barbash, R., Bernstein, L., Baumgartner, R. N., Neuhouser, M. L., Wener, M. H., et al. (2009). Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients. Journal of Clinical Oncology,27(21), 3437.
Yancik, R., Wesley, M. N., Ries, L. A., Havlik, R. J., Edwards, B. K., & Yates, J. W. (2001). Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older. JAMA,285(7), 885–892.
Kaptoge, S., Di Angelantonio, E., Pennells, L., Wood, A. M., White, I. R., Gao, P., et al. (2012). C-reactive protein, fibrinogen, and cardiovascular disease prediction. New England Journal of Medicine,367(14), 1310–1320.
Pelle, A. J., Pedersen, S. S., Erdman, R. A., Kazemier, M., Spiering, M., van Domburg, R. T., et al. (2011). Anhedonia is associated with poor health status and more somatic and cognitive symptoms in patients with coronary artery disease. Quality of Life Research,20(5), 643–651.
Kim, J. M., Jang, J. E., Stewart, R., Kim, S. Y., Kim, S. W., Kang, H. J., et al. (2013). Determinants of suicidal ideation in patients with breast cancer. Psycho-Oncology,22(12), 2848–2856.
Groenvold, M., Petersen, M. A., Idler, E., Bjorner, J. B., Fayers, P. M., & Mouridsen, H. T. (2007). Psychological distress and fatigue predicted recurrence and survival in primary breast cancer patients. Breast Cancer Research and Treatment,105(2), 209–219.
Brunault, P., Champagne, A. L., Huguet, G., Suzanne, I., Senon, J. L., Body, G., et al. (2016). Major depressive disorder, personality disorders, and coping strategies are independent risk factors for lower quality of life in non-metastatic breast cancer patients. Psycho-Oncology,25(5), 513–520.
Brown, L. F., Kroenke, K., Theobald, D. E., & Wu, J. (2011). Comparison of SF-36 vitality scale and fatigue symptom inventory in assessing cancer-related fatigue. Supportive Care in Cancer,19(8), 1255–1259.
Lengacher, C. A., Reich, R. R., Post-White, J., Moscoso, M., Shelton, M. M., Barta, M., et al. (2012). Mindfulness based stress reduction in post-treatment breast cancer patients: An examination of symptoms and symptom clusters. Journal of Behavioral Medicine,35(1), 86–94.
Berger, A. M., & Mitchell, S. A. (2008). Modifying cancer-related fatigue by optimizing sleep quality. Journal of the National Comprehensive Cancer Network,6(1), 3–13.
Choi, Y.-N., Kim, Y.-A., Yun, Y. H., Kim, S., Bae, J.-M., Kim, Y.-W., et al. (2014). Suicide ideation in stomach cancer survivors and possible risk factors. Supportive Care in Cancer,22(2), 331–337.
Reich, R. R., Lengacher, C. A., Alinat, C. B., Kip, K. E., Paterson, C., Ramesar, S., et al. (2017). Mindfulness-based stress reduction in post-treatment breast cancer patients: Immediate and sustained effects across multiple symptom clusters. Journal of Pain and Symptom Management,53(1), 85–95.
Hipp, J. R., & Bauer, D. J. (2006). Local solutions in the estimation of growth mixture models. Psychological Methods,11(1), 36.
Gueorguieva, R. (2017). Statistical methods in psychiatry and related fields: Longitudinal, clustered, and other repeated measures data. London: Chapman and Hall/CRC.
Garland, S. N., Johnson, J. A., Savard, J., Gehrman, P., Perlis, M., Carlson, L., et al. (2014). Sleeping well with cancer: A systematic review of cognitive behavioral therapy for insomnia in cancer patients. Neuropsychiatric Disease and Treatment,10, 1113.
Andersen, S. R., Würtzen, H., Steding-Jessen, M., Christensen, J., Andersen, K. K., Flyger, H., et al. (2013). Effect of mindfulness-based stress reduction on sleep quality: Results of a randomized trial among Danish breast cancer patients. Acta Oncologica,52(2), 336–344.
Hopko, D. R., Armento, M. E., Robertson, S., Ryba, M. M., Carvalho, J. P., Colman, L. K., et al. (2011). Brief behavioral activation and problem-solving therapy for depressed breast cancer patients: Randomized trial. Journal of Consulting and Clinical Psychology,79(6), 834.
Sharpley, C. F., & Bitsika, V. (2013). Differences in neurobiological pathways of four “clinical content” subtypes of depression. Behavioural Brain Research,256, 368–376.
Fairey, A. S., Courneya, K. S., Field, C. J., Bell, G. J., Jones, L. W., Martin, B. S., et al. (2005). Effect of exercise training on C-reactive protein in postmenopausal breast cancer survivors: A randomized controlled trial. Brain, Behavior, and Immunity,19(5), 381–388.
Funding
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014R1A2A2A01007794).
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Shim, EJ., Jeong, D., Moon, HG. et al. Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors: a latent profile analysis. Qual Life Res 29, 421–429 (2020). https://doi.org/10.1007/s11136-019-02330-6
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DOI: https://doi.org/10.1007/s11136-019-02330-6