4.5 Article

Association of personality profiles with depressive, anxiety, and cancer-related symptoms in patients undergoing chemotherapy

期刊

PERSONALITY AND INDIVIDUAL DIFFERENCES
卷 117, 期 -, 页码 130-138

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.paid.2017.05.039

关键词

Cancer; Oncology; Chemotherapy; Personality; Depression; Anxiety; Latent profile analysis; Physical symptoms

资金

  1. National Cancer Institute [NCI CA134900]
  2. National Institute of Mental Health [NIMH R25MH060482]
  3. NCI [CA168960]
  4. American Cancer Society

向作者/读者索取更多资源

Background: This study identified latent classes of cancer patients based on Big Five personality dimensions and evaluated for differences in demographic and clinical characteristics, depression, anxiety, and cancer-related symptoms. Methods: Patients (n = 1248) with breast, gastrointestinal, gynecological, or lung cancer completed the Center for Epidemiological Studies-Depression scale, Spielberger State-Trait Anxiety Inventories, NEO-Five Factor Inventory (NEO-FFI), and Memorial Symptom Assessment Scale (MSAS). Latent class profile analysis of NEO-FFI scores was used to identify patient subgroups. Results: Three latent classes were identified. The Distressed class (14.3%) scored highest on neuroticism and lowest on extraversion, agreeableness, and conscientiousness. The Resilient class (31.9%) scored lowest on neuroticism and highest on extraversion, agreeableness, and conscientiousness. The Normative class (53.8%) was intermediate on all dimensions except openness. Compared to the Resilient class, patients in the Distressed class were younger, less educated, more likely to care for another adult, had more comorbidities, and exercised less. The three classes differed by performance status, marital and employment status, and income, but not by gender, time since diagnosis, or type of prior cancer treatment. The classes differed (Distressed > Normative> Resilient) in depression, anxiety, and cancer symptoms. Conclusions: Personality is associated with psychological and physical symptoms in cancer patients. (C) 2017 Elsevier Ltd. All rights reserved.

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