Top

14-04-2024

Prospective trajectories of depression predict mortality in cancer patients

Auteurs: Drishti Enna Sanghvi, Mark Shuquan Chen, George A. Bonanno

Gepubliceerd in: Journal of Behavioral Medicine

Abstract

An ever-growing body of empirical evidence has demonstrated the relationship between depression and cancer. The objective of this study was to examine whether depression trajectories predict mortality risk above and beyond demographics and other general health-related factors. Participants (n = 2,345) were a part of the Health and Retirement Study. The sample consisted of patients who were assessed once before their cancer diagnosis and thrice after. Depressive symptoms and general health-related factors were based on self-reports. Mortality risk was determined based on whether the patient was alive or not at respective time points. Latent Growth Mixture Modeling was performed to map trajectories of depression, assess differences in trajectories based on demographics and general health-related factors, and predict mortality risk. Four trajectories of depression symptoms emerged: resilient (69.7%), emerging (13.5%), recovery (9.5%), and chronic (7.2%). Overall, females, fewer years of education, higher functional impairment at baseline, and high mortality risk characterized the emerging, recovery, and chronic trajectories. In comparison to the resilient trajectory, mortality risk was highest for the emerging trajectory and accounted for more than half of the deaths recorded for the participants in emerging trajectory. Mortality risk was also significantly elevated, although to a lesser degree, for the recovery and chronic trajectories. The data highlights clinically relevant information about the depression-cancer association that can have useful implications towards cancer treatment, recovery, and public health.

Alleen toegankelijk voor geautoriseerde gebruikers

Data at Wave 1 (W1) were excluded because allowable responses to the questions were different at W1 as compared to all other waves; each depression item at W1 was rated on a four-point scale ranging from 1 to 4, as opposed to all other waves where depression items were binary with “yes” (1 = yes) or “no” (0 = no) responses from participants, indicating presence or absence of specific depressive symptoms.

This variable was based on the response status of the participant during the time of data collection. Respondents are identified by code 1, non-Respondents by codes 0, 4–7 and 9. Known alive and presumed alive are both treated as indication that the Respondent is living, coded as 1. Non-response code 4 means that the Respondent is alive so far as the researchers that collected the data are aware of, but did not respond. A code of 5 means that the Respondent died between the last interview and the current one, and 6 means that the Respondent had died before a previous wave. A code of 9 means that we don’t know if the individual is alive or not. For the purposes of the current investigation, 1 and 4 were coded as “alive” and the remained were coded as “not alive”.

In all conditional models, the inclusion of covariates nested within the LGMM did not alter the proportions of individual in each trajectory or the shape of the trajectory pattern to a large extent.

Abate, K. H. (2013). Gender disparity in prevalence of depression among patient population: A systematic review. Ethiopian Journal of Health Sciences, 23(3), 283–288.PubMedPubMedCentral

Archer, G., Kuh, D., Hotopf, M., Stafford, M., & Richards, M. (2020). Association between Lifetime affective symptoms and premature mortality. JAMA Psychiatry, 77(8), 806–813. https://doi.org/10.1001/jamapsychiatry.2020.0316.CrossRefPubMed

Bartoli, F., Lillia, N., Lax, A., Crocamo, C., Mantero, V., Carrà, G., Agostoni, E., & Clerici, M. (2013). Depression after Stroke and Risk of Mortality: A systematic review and Meta-analysis. Stroke Research and Treatment, 2013, e862978. https://doi.org/10.1155/2013/862978.CrossRef

Batty, G. D., Russ, T. C., Stamatakis, E., & Kivimäki, M. (2017). Psychological distress in relation to site specific cancer mortality: Pooling of unpublished data from 16 prospective cohort studies. Bmj, 356, j108. https://doi.org/10.1136/bmj.j108.CrossRefPubMedPubMedCentral

Boden, J. M., & Fergusson, D. M. (2011). Alcohol and depression. Addiction, 106(5), 906–914. https://doi.org/10.1111/j.1360-0443.2010.03351.x.CrossRefPubMed

Bonanno, G. A. (2004). Loss, trauma, and human resilience: Have we underestimated the human capacity to Thrive after extremely aversive events? The American Psychologist, 59, 20–28. https://doi.org/10.1037/0003-066X.59.1.20.CrossRefPubMed

Bonanno, G. A., Chen, S., & Galatzer-Levy, I. R. (2023). Resilience to potential trauma and adversity through regulatory flexibility. Nature Reviews Psychology, 2(11), 663–675. https://doi.org/10.1038/s44159-023-00233-5.CrossRef

Bouvron, B., Mackin, L., Kober, K. M., Paul, S. M., Cooper, B. A., Conley, Y. P., Hammer, M. J., Wright, F., Levine, J. D., & Miaskowski, C. (2022). Impact of worst pain severity and morning fatigue profiles on oncology outpatients’ symptom burden and quality of life. Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer. https://doi.org/10.1007/s00520-022-07431-6.CrossRefPubMed

Bromet, E., Andrade, L. H., Hwang, I., Sampson, N. A., Alonso, J., de Girolamo, G., de Graaf, R., Demyttenaere, K., Hu, C., Iwata, N., Karam, A. N., Kaur, J., Kostyuchenko, S., Lépine, J. P., Levinson, D., Matschinger, H., Mora, M. E. M., Browne, M. O., Posada-Villa, J., & Kessler, R. C. (2011). Cross-national epidemiology of DSM-IV major depressive episode. BMC Medicine, 9, 90. https://doi.org/10.1186/1741-7015-9-90.CrossRefPubMedPubMedCentral

Bugliari, D., Carroll, J., Hayden, O., Hayes, J., Hurd, M., Karabatakis, A., Main, R., Marks, J., McCullough, C., & Meijer, E. (2020). RAND HRS Longitudinal File 2016 (V2) Documentation: Includes 1992–2016 (Final Release). RAND Center for the Study of Aging. Https://www.Rand.Org/Well-Being/Social-and-Behavioral-Policy/Centers/Aging/Dataprod/HrsData. Html.

Burton, C. L., Galatzer-Levy, I. R., & Bonanno, G. A. (2015). Treatment type and demographic characteristics as predictors for cancer adjustment: Prospective trajectories of depressive symptoms in a population sample. Health Psychology: Official Journal of the Division of Health Psychology American Psychological Association, 34(6), 602–609. https://doi.org/10.1037/hea0000145.CrossRefPubMed

Callaghan, R. C., Veldhuizen, S., Jeysingh, T., Orlan, C., Graham, C., Kakouris, G., Remington, G., & Gatley, J. (2014). Patterns of tobacco-related mortality among individuals diagnosed with schizophrenia, bipolar disorder, or depression. Journal of Psychiatric Research, 48(1), 102–110. https://doi.org/10.1016/j.jpsychires.2013.09.014.CrossRefPubMed

Chen, Y. H., & Lin, H. C. (2011). Increased risk of cancer subsequent to severe depression—A nationwide population-based study. Journal of Affective Disorders, 131(1), 200–206. https://doi.org/10.1016/j.jad.2010.12.006.CrossRefPubMed

Chiu, M., Vigod, S., Rahman, F., Wilton, A. S., Lebenbaum, M., & Kurdyak, P. (2018). Mortality risk associated with psychological distress and major depression: A population-based cohort study. Journal of Affective Disorders, 234, 117–123. https://doi.org/10.1016/j.jad.2018.02.075.CrossRefPubMed

Colleoni, M., Mandala, M., Peruzzotti, G., Robertson, C., Bredart, A., & Goldhirsch, A. (2000). Depression and degree of acceptance of adjuvant cytotoxic drugs. The Lancet, 356(9238), 1326–1327. https://doi.org/10.1016/S0140-6736(00)02821-X.CrossRef

Cosco, T. D., Prina, M., Stubbs, B., & Wu, Y. T. (2017). Reliability and validity of the Center for Epidemiologic Studies Depression Scale in a Population-based cohort of Middle-aged U.S. adults. Journal of Nursing Measurement, 25(3), 476–485. https://doi.org/10.1891/1061-3749.25.3.476.CrossRefPubMed

Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2013). An introduction to latent variable growth curve modeling: Concepts, issues, and applications. Routledge.

Edmondson, D. (2014). An Enduring somatic threat model of posttraumatic stress disorder due to Acute life-threatening medical events. Social and Personality Psychology Compass, 8(3), 118–134. https://doi.org/10.1111/spc3.12089.CrossRefPubMedPubMedCentral

Farrokhi, F., Abedi, N., Beyene, J., Kurdyak, P., & Jassal, S. V. (2014). Association between Depression and Mortality in patients receiving long-term Dialysis: A systematic review and Meta-analysis. American Journal of Kidney Diseases, 63(4), 623–635. https://doi.org/10.1053/j.ajkd.2013.08.024.CrossRefPubMed

Fitzgerald, P., Lo, C., Li, M., Gagliese, L., Zimmermann, C., & Rodin, G. (2015). The relationship between depression and physical symptom burden in advanced cancer. BMJ Supportive & Palliative Care, 5(4), 381–388. https://doi.org/10.1136/bmjspcare-2012-000380.CrossRef

Galatzer-Levy, & Bonanno (2014). Optimism and death: Predicting the course and consequences of depression trajectories in response to heart attack. Psychological Science, 25(12), 2177–2188. https://doi.org/10.1177/0956797614551750.CrossRefPubMed

Galatzer-Levy, I. R., Bonanno, G. A., & Mancini, A. D. (2010). From marianthal to latent growth mixture modeling: A return to the exploration of individual differences in response to unemployment. Journal of Neuroscience Psychology and Economics, 3(2), 116.CrossRef

Galatzer-Levy, I., Huang, S., & Bonanno, G. (2018). Trajectories of resilience and dysfunction following potential trauma: A review and statistical evaluation. Clinical Psychology Review, 63, https://doi.org/10.1016/j.cpr.2018.05.008.

Gold, S. M., Köhler-Forsberg, O., Moss-Morris, R., Mehnert, A., Miranda, J. J., Bullinger, M., Steptoe, A., Whooley, M. A., & Otte, C. (2020). Comorbid depression in medical diseases. Nature Reviews Disease Primers, 6(1), 69. https://doi.org/10.1038/s41572-020-0200-2.CrossRefPubMed

Grassi, L., & Riba, M. (2020). Cancer and severe mental illness: Bi-directional problems and potential solutions. Psycho-Oncology, 29(10), 1445–1451. https://doi.org/10.1002/pon.5534.CrossRefPubMed

Holwerda, T. J., van Tilburg, T. G., Deeg, D. J. H., Schutter, N., Van, R., Dekker, J., Stek, M. L., Beekman, A. T. F., & Schoevers, R. A. (2016). Impact of loneliness and depression on mortality: Results from the Longitudinal Ageing Study Amsterdam. The British Journal of Psychiatry, 209(2), 127–134. https://doi.org/10.1192/bjp.bp.115.168005.CrossRefPubMed

Khazaeipour, Z., Taheri-Otaghsara, S. M., & Naghdi, M. (2015). Depression following spinal cord Injury: Its relationship to demographic and socioeconomic indicators. Topics in Spinal Cord Injury Rehabilitation, 21(2), 149–155. https://doi.org/10.1310/sci2102-149.CrossRefPubMedPubMedCentral

Ko, A., Kim, K., Sik Son, J., Park, H. Y., & Park, S. M. (2019). Association of pre-existing depression with all-cause, cancer-related, and noncancer-related mortality among 5-year cancer survivors: A population-based cohort study. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-54677-y.

Levine, S. Z. (2013). Evaluating the seven-item center for epidemiologic studies Depression Scale short-form: A longitudinal US community study. Social Psychiatry and Psychiatric Epidemiology, 48(9), 1519–1526. https://doi.org/10.1007/s00127-012-0650-2.CrossRefPubMed

Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767–778.CrossRef

Malgaroli, M., Galatzer-Levy, I. R., & Bonanno, G. A. (2017). Heterogeneity in trajectories of Depression in response to divorce is Associated with Differential Risk for Mortality. Clinical Psychological Science: A Journal of the Association for Psychological Science, 5(5), 843–850. https://doi.org/10.1177/2167702617705951.CrossRefPubMed

Mara, C. A., & Carle, A. C. (2021). Understanding variation in Longitudinal Data using latent growth mixture modeling. Journal of Pediatric Psychology, 46(2), 179–188. https://doi.org/10.1093/jpepsy/jsab010.CrossRefPubMed

Matcham, F., Carroll, A., Chung, N., Crawford, V., Galloway, J., Hames, A., Jackson, K., Jacobson, C., Manawadu, D., McCracken, L., Moxham, J., Rayner, L., Robson, D., Simpson, A., Wilson, N., & Hotopf, M. (2017). Smoking and common mental disorders in patients with chronic conditions: An analysis of data collected via a web-based screening system. General Hospital Psychiatry, 45, 12–18. https://doi.org/10.1016/j.genhosppsych.2016.11.006.CrossRefPubMed

McKnight, P. E., & Kashdan, T. B. (2009). The importance of functional impairment to mental health outcomes: A case for reassessing our goals in depression treatment research. Clinical Psychology Review, 29(3), 243–259. https://doi.org/10.1016/j.cpr.2009.01.005.CrossRefPubMedPubMedCentral

Mejareh, Z. N., Abdollahi, B., Hoseinipalangi, Z., Jeze, M. S., Hosseinifard, H., Rafiei, S., Aghajani, F., Dehnad, A., Ardakani, M. F., Ahmadi, S., Anbarhassani, H., Asl, M. T., Kan, F. P., Aryankhesal, A., Shabaninejad, H., Aghalou, S., & Ghashghaee, A. (2021). Global, regional, and national prevalence of depression among cancer patients: A systematic review and meta-analysis. Indian Journal of Psychiatry, 63(6), 527. https://doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_77_21.CrossRefPubMedPubMedCentral

Miller, K. D., Siegel, R. L., Lin, C. C., Mariotto, A. B., Kramer, J. L., Rowland, J. H., Stein, K. D., Alteri, R., & Jemal, A. (2016). Cancer treatment and survivorship statistics, 2016. CA: A Cancer Journal for Clinicians, 66(4), 271–289. https://doi.org/10.3322/caac.21349.CrossRefPubMed

Muthen, L. K., Muthen, B., & Angeles, M. (2017). & M. (Los. Mplus Version 8 User’s Guide. Muthen & Muthen. https://books.google.com/books?id=dgDlAQAACAAJ.

Muthén, B. (2003). Statistical and substantive checking in growth mixture modeling: Comment on Bauer and Curran (2003). Psychological Methods, 8(3), 369–377. https://doi.org/10.1037/1082-989X.8.3.369. discussion 384–393.CrossRefPubMed

Muthén, B. (2004). The SAGE Handbook of Quantitative Methodology for the Social Sciences (By pages 346–369). SAGE Publications, Inc. https://doi.org/10.4135/9781412986311.

Niedzwiedz, C. L., Knifton, L., Robb, K. A., Katikireddi, S. V., & Smith, D. J. (2019). Depression and anxiety among people living with and beyond cancer: A growing clinical and research priority. Bmc Cancer, 19(1), 943. https://doi.org/10.1186/s12885-019-6181-4.CrossRefPubMedPubMedCentral

Nolen-Hoeksema, S. (2012). Emotion regulation and psychopathology: The role of gender. Annual Review of Clinical Psychology, 8, 161–187. https://doi.org/10.1146/annurev-clinpsy-032511-143109.CrossRefPubMed

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: A Multidisciplinary Journal, 14(4), 535–569.CrossRef

Park, M., Katon, W. J., & Wolf, F. M. (2013). Depression and risk of mortality in individuals with diabetes: A meta-analysis and systematic review. General Hospital Psychiatry, 35(3), 217–225. https://doi.org/10.1016/j.genhosppsych.2013.01.006.CrossRefPubMedPubMedCentral

Parpa, E., Tsilika, E., Gennimata, V., & Mystakidou, K. (2015). Elderly cancer patients’ psychopathology: A systematic review: Aging and mental health. Archives of Gerontology and Geriatrics, 60(1), 9–15. https://doi.org/10.1016/j.archger.2014.09.008.CrossRefPubMed

Patten, S. B., Williams, J. V. A., Lavorato, D., Li Wang, J., Khaled, S., & Bulloch, A. G. M. (2011). Mortality associated with major depression in a Canadian community cohort. Canadian Journal of Psychiatry Revue Canadienne De Psychiatrie, 56(11), 658–666. https://doi.org/10.1177/070674371105601104.CrossRefPubMed

Pratt, L. A., Druss, B. G., Manderscheid, R. W., & Walker, E. R. (2016). Excess mortality due to depression and anxiety in the United States: Results from a nationally Representative Survey. General Hospital Psychiatry, 39, 39–45. https://doi.org/10.1016/j.genhosppsych.2015.12.003.CrossRefPubMed

R Core Team. (2020). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.R-project.org/.

Radloff, L. S. (1977). The CES-D scale: A self-report Depression Scale for Research in the General Population. Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306.CrossRef

Reeve, B. B., Potosky, A. L., Smith, A. W., Han, P. K., Hays, R. D., Davis, W. W., Arora, N. K., Haffer, S. C., & Clauser, S. B. (2009). Impact of cancer on health-related quality of life of older americans. Journal of the National Cancer Institute, 101(12), 860–868. https://doi.org/10.1093/jnci/djp123. PubMed.CrossRefPubMedPubMedCentral

Ronson, A. (2006). [Stress and allostatic load: Perspectives in psycho-oncology]. Bulletin Du cancer, 93(3), 289–295.PubMed

Schweren, L. J. S., Larsson, H., Vinke, P. C., Li, L., Kvalvik, L. G., Arias-Vasquez, A., Haavik, J., & Hartman, C. A. (2021). Diet quality, stress and common mental health problems: A cohort study of 121,008 adults. Clinical Nutrition, 40(3), 901–906. https://doi.org/10.1016/j.clnu.2020.06.016.CrossRefPubMed

Stoeckel, K. J., & Litwin, H. (2016). The impact of social networks on the relationship between functional impairment and depressive symptoms in older adults. International Psychogeriatrics, 28(1), 39–47. https://doi.org/10.1017/S1041610215000538.CrossRefPubMed

Szelei, A., & Döme, P. (2020). Cancer and depression: A concise review. Orvosi Hetilap, 161(22), 908–916. https://doi.org/10.1556/650.2020.31759.CrossRefPubMed

Tein, J. Y., Coxe, S., & Cham, H. (2013). Statistical power to detect the correct number of classes in Latent Profile Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 20(4), 640–657. https://doi.org/10.1080/10705511.2013.824781. PubMed.CrossRefPubMed

Tort-Merino, A., Falgàs, N., Allen, I. E., Balasa, M., Olives, J., Contador, J., Castellví, M., Juncà-Parella, J., Guillén, N., Borrego-Écija, S., Bosch, B., Fernández-Villullas, G., Ramos-Campoy, O., Antonell, A., Rami, L., Sánchez-Valle, R., & Lladó, A. (2022). Early-onset Alzheimer’s disease shows a distinct neuropsychological profile and more aggressive trajectories of cognitive decline than late-onset. Annals of Clinical and Translational Neurology, 9(12), 1962–1973. https://doi.org/10.1002/acn3.51689.CrossRefPubMedPubMedCentral

van de Schoot, R. (2015). Latent trajectory studies: The basics, how to interpret the results, and what to report. European Journal of Psychotraumatology, 6, 27514. https://doi.org/10.3402/ejpt.v6.27514.CrossRefPubMed

Vehling, S., Mehnert-Theuerkauf, A., Philipp, R., Härter, M., Kraywinkel, K., Kuhnert, R., & Koch, U. (2022). Prevalence of mental disorders in patients with cancer compared to matched controls—secondary analysis of two nationally representative surveys. Acta Oncologica (Stockholm Sweden), 61(1), 7–13. https://doi.org/10.1080/0284186X.2021.1992008.CrossRefPubMed

Walker, J., Mulick, A., Magill, N., Symeonides, S., Gourley, C., Burke, K., Belot, A., Quartagno, M., van Niekerk, M., Toynbee, M., Frost, C., & Sharpe, M. (2021). Major Depression and Survival in People with Cancer. Psychosomatic Medicine, 83(5), 410–416. https://doi.org/10.1097/PSY.0000000000000942.CrossRefPubMedPubMedCentral

Wang, Y., Zhu, X., Li, L., Yi, J., & He, J. (2016). What factors affect the Insomnia Symptom trajectories in Women with nonmetastatic breast Cancer? Journal of Pain and Symptom Management, 52(6), 850–858. https://doi.org/10.1016/j.jpainsymman.2016.07.001.CrossRefPubMed

Wang, Y. H., Li, J. Q., Shi, J. F., Que, J. Y., Liu, J. J., Lappin, J. M., Leung, J., Ravindran, A. V., Chen, W. Q., Qiao, Y. L., Shi, J., Lu, L., & Bao, Y. P. (2020). Depression and anxiety in relation to cancer incidence and mortality: A systematic review and meta-analysis of cohort studies. Molecular Psychiatry, 25(7). https://doi.org/10.1038/s41380-019-0595-x. Article 7.

Wedding, U., Koch, A., Röhrig, B., Pientka, L., Sauer, H., Höffken, K., & Maurer, I. (2008). Depression and functional impairment independently contribute to decreased quality of life in cancer patients prior to chemotherapy. Acta Oncologica, 47(1), 56–62. https://doi.org/10.1080/02841860701460541.CrossRefPubMed

Wu, Y. T., Kralj, C., Acosta, D., Guerra, M., Huang, Y., Jotheeswaran, A. T., Jimenez-Velazquez, I. Z., Liu, Z., Llibre Rodriguez, J. J., Salas, A., Sosa, A. L., Alkholy, R., Prince, M., & Prina, A. M. (2020). The association between, depression, anxiety, and mortality in older people across eight low- and middle-income countries: Results from the 10/66 cohort study. International Journal of Geriatric Psychiatry, 35(1), 29–36. https://doi.org/10.1002/gps.5211.CrossRefPubMed

Xiao, F., Song, X., Chen, Q., Dai, Y., Xu, R., Qiu, C., & Guo, Q. (2017). Effectiveness of psychological interventions on depression in patients after breast Cancer surgery: A Meta-analysis of Randomized controlled trials. Clinical Breast Cancer, 17(3), 171–179. https://doi.org/10.1016/j.clbc.2016.11.003.CrossRefPubMed

Yi, J. C., & Syrjala, K. L. (2017). Anxiety and depression in Cancer survivors. The Medical Clinics of North America, 101(6), 1099–1113. https://doi.org/10.1016/j.mcna.2017.06.005. PubMed.CrossRefPubMedPubMedCentral

Zhang, M. F., Wen, Y. S., Liu, W. Y., Peng, L. F., Wu, X. D., & Liu, Q. W. (2015). Effectiveness of mindfulness-based Therapy for reducing anxiety and depression in patients with Cancer. Medicine, 94(45), e0897. https://doi.org/10.1097/MD.0000000000000897.CrossRefPubMedPubMedCentral

Zhou, K., Li, X., Li, J., Liu, M., Dang, S., Wang, D., & Xin, X. (2015). A clinical randomized controlled trial of music therapy and progressive muscle relaxation training in female breast cancer patients after radical mastectomy: Results on depression, anxiety and length of hospital stay. European Journal of Oncology Nursing, 19(1), 54–59. https://doi.org/10.1016/j.ejon.2014.07.010.CrossRefPubMed

Titel: Prospective trajectories of depression predict mortality in cancer patients
Auteurs: Drishti Enna Sanghvi
Mark Shuquan Chen
George A. Bonanno
Publicatiedatum: 14-04-2024
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-024-00485-3

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen