Well-being trajectories in breast cancer and their predictors: A machine-learning approach.
breast cancer
cancer
oncology
trajectories
trajectory predictors
Journal
Psycho-oncology
ISSN: 1099-1611
Titre abrégé: Psychooncology
Pays: England
ID NLM: 9214524
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
revised:
29
09
2023
received:
02
06
2023
accepted:
02
10
2023
medline:
8
11
2023
pubmed:
13
10
2023
entrez:
13
10
2023
Statut:
ppublish
Résumé
This study aimed to describe distinct trajectories of anxiety/depression symptoms and overall health status/quality of life over a period of 18 months following a breast cancer diagnosis, and identify the medical, socio-demographic, lifestyle, and psychological factors that predict these trajectories. 474 females (mean age = 55.79 years) were enrolled in the first weeks after surgery or biopsy. Data from seven assessment points over 18 months, at 3-month intervals, were used. The two outcomes were assessed at all points. Potential predictors were assessed at baseline and the first follow-up. Machine-Learning techniques were used to detect latent patterns of change and identify the most important predictors. Five trajectories were identified for each outcome: stably high, high with fluctuations, recovery, deteriorating/delayed response, and stably poor well-being (chronic distress). Psychological factors (i.e., negative affect, coping, sense of control, social support), age, and a few medical variables (e.g., symptoms, immune-related inflammation) predicted patients' participation in the delayed response and the chronic distress trajectories versus all other trajectories. There is a strong possibility that resilience does not always reflect a stable response pattern, as there might be some interim fluctuations. The use of machine-learning techniques provides a unique opportunity for the identification of illness trajectories and a shortlist of major bio/behavioral predictors. This will facilitate the development of early interventions to prevent a significant deterioration in patient well-being.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1762-1770Informations de copyright
© 2023 John Wiley & Sons Ltd.
Références
Mansano-Schlosser TC, Ceolim MF, Valerio TD. Poor sleep quality, depression and hope before breast cancer surgery. Appl Nurs Res. 2017;34:7-11. https://doi.org/10.1016/j.apnr.2016.11.010
Helgeson VS, Snyder P, Seltman H. Psychological and physical adjustment to breast cancer over 4 years: identifying distinct trajectories of change. Health Psychol. 2004;23(1):3-15. https://doi.org/10.1037/0278-6133.23.1.3
Roine E, Sintonen H, Kellokumpu-Lehtinen PL, et al. Long-term health-related quality of life of breast cancer survivors remains impaired compared to the age-matched general population especially in young women. Results from the prospective controlled BREX exercise study. Breast. 2021;59:110-116. https://doi.org/10.1016/j.breast.2021.06.012
Bonanno GA. Loss, trauma, and human resilience: have we underestimated the human capacity to thrive after extremely aversive events? Am Psychol. 2004;59(1):20-28. https://doi.org/10.1037/0003-066X.59.1.20
Leventhal H, Halm E, Horowitz C, Leventhal EA, Ozakinci G. Living with chronic illness: a contextualized, self-regulation approach. In: Sutton S, Baum A, Johnston M, eds. The SAGE Handbook of Health Psychology. Sage; 2005:197-240.
Leventhal H, Yu JS, Leventhal EA, Bodnar-Deren SM. Cognitive mechanisms and common-sense management of cancer risk: do patients make decisions? In: Diefenbach MA, Miller-Halegoua S, Bowen DJ, eds. Handbook of Health Decision Science. Springer; 2016:87-108.
Dunn LB, Cooper BA, Neuhaus J, et al. Identification of distinct depressive symptom trajectories in women following surgery for breast cancer [published correction appears in Health Psychol. 2012 Mar;31(2):155]. Health Psychol. 2011;30(6):683-692. https://doi.org/10.1037/a0024366
Kant J, Czisch A, Schott S, Siewerdt-Werner D, Birkenfeld F, Keller M. Identifying and predicting distinct distress trajectories following a breast cancer diagnosis - from treatment into early survival. J Psychosom Res. 2018;115:6-13. https://doi.org/10.1016/j.jpsychores.2018.09.012
Lam WW, Soong I, Yau TK, et al. The evolution of psychological distress trajectories in women diagnosed with advanced breast cancer: a longitudinal study. Psycho Oncol. 2013;22(12):2831-2839. https://doi.org/10.1002/pon.3361
Saboonchi F, Petersson LM, Wennman-Larsen A, Alexanderson K, Vaez M. Trajectories of anxiety among women with breast cancer: a proxy for adjustment from acute to transitional survivorship. J Psychosoc Oncol. 2015;33(6):603-619. https://doi.org/10.1080/07347332.2015.1082165
Durá-Ferrandis E, Mandelblatt JS, Clapp J, et al. Personality, coping, and social support as predictors of long-term quality-of-life trajectories in older breast cancer survivors: CALGB protocol 369901 (Alliance). Psycho Oncol. 2017;26(11):1914-1921. https://doi.org/10.1002/pon.4404
Di Meglio A, Havas J, Gbenou AS, et al. Dynamics of long-term patient-reported quality of life and health behaviors after adjuvant breast cancer chemotherapy. J Clin Oncol. 2022;40(27):3190-3204. https://doi.org/10.1200/JCO.21.00277
Bower JE, Wiley J, Petersen L, Irwin MR, Cole SW, Ganz PA. Fatigue after breast cancer treatment: biobehavioral predictors of fatigue trajectories. Health Psychol. 2018;37(11):1025-1034. https://doi.org/10.1037/hea0000652
Seligman B, Tuljapurkar S, Rehkopf D. Machine learning approaches to the social determinants of health in the health and retirement study. SSM Popul Health. 2017;4:95-99. https://doi.org/10.1016/j.ssmph.2017.11.008
Verboon P, Pat-El R. Clustering longitudinal data using R: a Monte Carlo study. Methodol. 2022;18(2):144-163. https://doi.org/10.5964/meth.7143
Brandão T, Schulz MS, Matos PM. Psychological adjustment after breast cancer: a systematic review of longitudinal studies. Psycho Oncol. 2017;26(7):917-926. https://doi.org/10.1002/pon.4230
Hiensch AE, Bolam KA, Mijwel S, May AM, Wengström Y. Sense of coherence and its relationship to participation, cancer-related fatigue, symptom burden, and quality of life in women with breast cancer participating in the OptiTrain exercise trial. Support Care Cancer. 2020;28(11):5371-5379. https://doi.org/10.1007/s00520-020-05378-0
Pereira MA, Araújo A, Simões M, Costa C. Influence of psychological factors in breast and lung cancer risk - a systematic review. Front Psychol. 2022;12:769394. Published 2022 Jan 3. https://doi.org/10.3389/fpsyg.2021.769394
Swartzman S, Booth JN, Munro A, Sani F. Posttraumatic stress disorder after cancer diagnosis in adults: a meta-analysis. Depress Anxiety. 2017;34(4):327-339. https://doi.org/10.1002/da.22542
Chirico A, Lucidi F, Merluzzi T, et al. A meta-analytic review of the relationship of cancer coping self-efficacy with distress and quality of life. Oncotarget. 2017;8(22):36800-36811. https://doi.org/10.18632/oncotarget.15758
Lazarus RS, Folkman S. Stress, Appraisal, and Coping. Springer; 1984.
Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361-370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
Aaronson NK, Ahmedzai S, Bergman B, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst. 1993;85(5):365-376. https://doi.org/10.1093/jnci/85.5.365
Sprangers MA, Groenvold M, Arraras JI, et al. The European Organization for Research and Treatment of Cancer breast cancer-specific quality-of-life questionnaire module: first results from a three-country field study. J Clin Oncol. 1996;14(10):2756-2768. https://doi.org/10.1200/JCO.1996.14.10.2756
Scheier MF, Carver CS, Bridges MW. Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the Life Orientation Test. J Pers Soc Psychol. 1994;67(6):1063-1078. https://doi.org/10.1037//0022-3514.67.6.1063
Antonovsky A. The structure and properties of the sense of coherence scale. Soc Sci Med. 1993;36(6):725-733. https://doi.org/10.1016/0277-9536(93)90033-z
Connor KM, Davidson JR. Development of a new resilience scale: the Connor-Davidson resilience scale (CD-RISC). Depress Anxiety. 2003;18(2):76-82. https://doi.org/10.1002/da.10113
Carlson LE, Brown KW. Validation of the mindful attention awareness scale in a cancer population. J Psychosom Res. 2005;58(1):29-33. https://doi.org/10.1016/j.jpsychores.2004.04.366
Watson M, Law M, dos Santos M, Greer S, Baruch J, Bliss J. The Mini-MAC: further development of the mental adjustment to cancer scale. J Psychosoc Oncol. 1994;12(3):33-46. https://doi.org/10.1300/J077V12N03_03
Bonanno GA, Pat-Horenczyk R, Noll J. Coping flexibility and trauma: the perceived ability to cope with trauma (PACT) scale. Psychol Trauma Theor Res Pract Pol. 2011;3(2):117-129. https://doi.org/10.1037/a0020921
Cann A, Calhoun LG, Tedeschi RG, et al. A short form of the posttraumatic growth inventory. Hist Philos Logic. 2010;23(2):127-137. https://doi.org/10.1080/10615800903094273
Moser A, Stuck AE, Silliman RA, Ganz PA, Clough-Gorr KM. The eight-item modified Medical Outcomes Study Social Support Survey: psychometric evaluation showed excellent performance. J Clin Epidemiol. 2012;65(10):1107-1116. https://doi.org/10.1016/j.jclinepi.2012.04.007
Faccio F, Gandini S, Renzi C, Fioretti C, Crico C, Pravettoni G. Development and validation of the Family Resilience (FaRE) Questionnaire: an observational study in Italy [published correction appears in BMJ Open. 2019 Sep 4;9(9):e024670corr1]. BMJ Open. 2019;9(6):e024670. Published 2019 Jun 5. https://doi.org/10.1136/bmjopen-2018-024670
Heitzmann CA, Merluzzi TV, Jean-Pierre P, Roscoe JA, Kirsh KL, Passik SD. Assessing self-efficacy for coping with cancer: development and psychometric analysis of the brief version of the Cancer Behavior Inventory (CBI-B). Psycho Oncol. 2011;20(3):302-312. https://doi.org/10.1002/pon.1735
Simard S, Savard J. Screening and comorbidity of clinical levels of fear of cancer recurrence. J Cancer Surviv. 2015;9(3):481-491. https://doi.org/10.1007/s11764-015-0424-4
Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063-1070. https://doi.org/10.1037//0022-3514.54.6.1063
Garnefski N, Kraaij V. The Cognitive Emotion Regulation Questionnaire: psychometric features and prospective relationships with depression and anxiety in adults. Eur J Psychol Assess. 2007;23(3):141-149. https://doi.org/10.1027/1015-5759.23.3.141
Southwick SM, Bonanno GA, Masten AS, Panter-Brick C, Yehuda R. Resilience definitions, theory, and challenges: interdisciplinary perspectives. Eur J Psychotraumatol. 2014;5(1). https://doi.org/10.3402/ejpt.v5.25338
Stanton AL, Wiley JF, Krull JL, Crespi CM, Weihs KL. Cancer-related coping processes as predictors of depressive symptoms, trajectories, and episodes. J Consult Clin Psychol. 2018;86(10):820-830. https://doi.org/10.1037/ccp0000328
Tsunoda A, Nakao K, Hiratsuka K, Yasuda N, Shibusawa M, Kusano M. Anxiety, depression and quality of life in colorectal cancer patients. Int J Clin Oncol. 2005;10(6):411-417. https://doi.org/10.1007/s10147-005-0524-7