Factors associated with the use of complementary and alternative medicines for prostate cancer by long-term survivors

Autor: Suzanne K. Chambers, David Smith, Sam Egger, Dianne L. O'Connell, Clare Kahn, Annette J Moxey, Suzanne Hughes
Rok vydání: 2017
Předmět:
Complementary Therapies
Male
Economics
Emotions
Cancer Treatment
lcsh:Medicine
Social Sciences
Geographical Locations
Prostate cancer
0302 clinical medicine
Quality of life
Cancer Survivors
Surveys and Questionnaires
Medicine and Health Sciences
Psychology
030212 general & internal medicine
Longitudinal Studies
lcsh:Science
Aged
80 and over
education.field_of_study
Multidisciplinary
Prostate Cancer
Prostate Diseases
Fear
Middle Aged
Cancer Control
Survivorship
and Outcomes Research - Health Services
Economic and Health Policy AnalysesCancer Type - Prostate Cancer
Oncology
030220 oncology & carcinogenesis
Regression Analysis
Cohort study
Research Article
medicine.medical_specialty
General Science & Technology
Urology
Population
Oceania
03 medical and health sciences
Breast cancer
Health Economics
Complementary and Alternative Medicine
Diagnostic Medicine
Internal medicine
medicine
Cancer Detection and Diagnosis
Humans
education
Treatment - Complementary and Alternative Treatment Approaches
Aged
Cancer survivor
business.industry
lcsh:R
Australia
Cancer
Prostatic Neoplasms
Cancers and Neoplasms
Biology and Life Sciences
medicine.disease
Health Care
Genitourinary Tract Tumors
Relative risk
People and Places
Quality of Life
lcsh:Q
business
Follow-Up Studies
Health Insurance
Zdroj: PLoS ONE
PLoS ONE, Vol 13, Iss 3, p e0193686 (2018)
ISSN: 1932-6203
Popis: © 2018 Egger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Objective To assess whether the use of complementary and alternative medicines therapies (CAMs) for prostate cancer and/or its treatment side effects by long-term survivors is associated with selected socio-demographic, clinical, health-related quality-of-life (HRQOL) and/or psychological factors. Design, setting and participants The Prostate Cancer Care and Outcomes Study (PCOS) is a population-based cohort study of men with prostate cancer who were aged less than 70 years at diagnosis in New South Wales, Australia. Included in these analyses were men who returned a 10-year follow-up questionnaire, which included questions about CAM use. Methods Validated instruments assessed patient’s HRQOL and psychological well-being. Poisson regression with robust variance estimation was used to estimate the adjusted relative risks of current CAM use for prostate cancer according to socio-demographic, clinical, HRQOL and psychological factors. Results 996 of 1634 (61%) living PCOS participants completed the 10-year questionnaire. Of these 996 men, 168 (17%) were using CAMs for prostate cancer and 525 (53%) were using CAMs for any reason (including prostate cancer). Those using CAM for prostate cancer were more likely to be regular or occasional support group participants (vs. no participation RR = 2.02; 95%CI 1.41–2.88), born in another country (vs. Australian born RR = 1.59; 95%CI 1.17–2.16), have received androgen deprivation treatment (ADT) since diagnosis (RR = 1.60; 95%CI 1.12–2.28) or in the past two years (RR = 2.34; 95%CI 1.56–3.52). CAM use was associated with greater fear of recurrence (RR = 1.29; 95%CI 1.12–1.48), cancer-specific distress (RR = 1.15; 95%CI 1.01–1.30), cancer-specific hyperarousal (RR = 1.17; 95%CI 1.04–1.31), cancer locus of control (RR = 1.16; 95%CI 1.01–1.34) and less satisfaction with medical treatments (RR = 0.86; 95%CI 0.76–0.97), but not with intrusive thinking, cognitive avoidance, depression, anxiety or any HRQOL domains. Conclusions In this study, about one in six long term prostate cancer survivors used CAMs for their prostate cancer with use centred around ADT, country of birth, distress, cancer control, fear of recurrence and active help seeking.
Databáze: OpenAIRE
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