BACKGROUND: Anxiety and depression (distress) over the first year following the initial adjuvant therapy for advanced breast cancer (ABC) remain poorly documented in non-Caucasian populations. This study describes trajectories of distress and their determinants in Chinese women with ABC. METHODS: Of the 228 Chinese women newly diagnosed with ABC recruited from six oncology units, 192 completed an interview before their first course of chemotherapy (baseline) and follow-up interviews at 1.5, 3, 6, and 12 months thereafter. At baseline, participants were assessed for supportive care needs, psychological distress, physical symptom distress, optimism, and cancer-related rumination. At follow-up, participants completed the measure of psychological distress. Latent growth mixture modeling was used to identify trajectory patterns of distress. Multinominal logistic regression was used to identify predictors of trajectory patterns adjusted for demographic and medical characteristics. RESULTS: Four distinct trajectories of anxiety and depression were identified. Most women showed low-stable levels of anxiety (68%) and depression (68%), but one in 11 women were chronically anxious (9%) and depressed (9%). Optimism, negative cancer-related rumination, and physical symptom distress predicted both anxiety and depression trajectories. Psychological needs predicted anxiety trajectories. Women in the low-stable distress group reported high optimism, low psychological supportive care needs, low physical symptom distress, and low negative cancer-related rumination. CONCLUSION: Most women with ABC did not experience psychological distress over 12 months following diagnosis of ABC. Preventive interventions should focus on women at risk of high persistent distress and reducing rumination, providing emotional support, and managing physical symptoms.
BACKGROUND:Anxiety and depression (distress) over the first year following the initial adjuvant therapy for advanced breast cancer (ABC) remain poorly documented in non-Caucasian populations. This study describes trajectories of distress and their determinants in Chinese women with ABC. METHODS: Of the 228 Chinese women newly diagnosed with ABC recruited from six oncology units, 192 completed an interview before their first course of chemotherapy (baseline) and follow-up interviews at 1.5, 3, 6, and 12 months thereafter. At baseline, participants were assessed for supportive care needs, psychological distress, physical symptom distress, optimism, and cancer-related rumination. At follow-up, participants completed the measure of psychological distress. Latent growth mixture modeling was used to identify trajectory patterns of distress. Multinominal logistic regression was used to identify predictors of trajectory patterns adjusted for demographic and medical characteristics. RESULTS: Four distinct trajectories of anxiety and depression were identified. Most women showed low-stable levels of anxiety (68%) and depression (68%), but one in 11 women were chronically anxious (9%) and depressed (9%). Optimism, negative cancer-related rumination, and physical symptom distress predicted both anxiety and depression trajectories. Psychological needs predicted anxiety trajectories. Women in the low-stable distress group reported high optimism, low psychological supportive care needs, low physical symptom distress, and low negative cancer-related rumination. CONCLUSION: Most women with ABC did not experience psychological distress over 12 months following diagnosis of ABC. Preventive interventions should focus on women at risk of high persistent distress and reducing rumination, providing emotional support, and managing physical symptoms.
Authors: Na Zhang; Richard Fielding; Inda Soong; Karen K K Chan; Janice Tsang; Victor Lee; Conrad Lee; Alice Ng; Wing Kin Sze; Pamela Tin; Wendy Wing Tak Lam Journal: Support Care Cancer Date: 2015-08-28 Impact factor: 3.603
Authors: Cristiane Decat Bergerot; Hannah-Rose Mitchell; Kimlin Tam Ashing; Youngmee Kim Journal: Support Care Cancer Date: 2017-02-02 Impact factor: 3.603
Authors: Clark Dumontier; Kerri M Clough-Gorr; Rebecca A Silliman; Andreas E Stuck; André Moser Journal: J Geriatr Oncol Date: 2016-12-13 Impact factor: 3.599
Authors: Eida M Castro; Gloria Asencio; Gwendolyn P Quinn; Thomas Brandon; Clement K Gwede; Susan Vadaparampil; Vani Simmons; Jessica McIntyre; Julio Jiménez Journal: P R Health Sci J Date: 2017-12 Impact factor: 0.705
Authors: Christine Paul; Alix Hall; Christopher Oldmeadow; Marita Lynagh; Sharon Campbell; Ken Bradstock; Anna Williamson; Mariko Carey; Rob Sanson-Fisher Journal: Support Care Cancer Date: 2017-05-26 Impact factor: 3.603
Authors: Kate Oppegaard; Carolyn S Harris; Joosun Shin; Steven M Paul; Bruce A Cooper; Jon D Levine; Yvette P Conley; Marilyn Hammer; Frances Cartwright; Fay Wright; Laura Dunn; Kord M Kober; Christine Miaskowski Journal: Support Care Cancer Date: 2021-06-26 Impact factor: 3.603
Authors: Sandra Pérez; Andrea Conchado; Yolanda Andreu; María José Galdón; Etzel Cardeña; Elena Ibáñez; Estrella Durá Journal: Support Care Cancer Date: 2015-09-28 Impact factor: 3.603
Authors: Estrella Durá-Ferrandis; Jeanne S Mandelblatt; Jonathan Clapp; George Luta; LeighAnne Faul; Gretchen Kimmick; Harvey Jay Cohen; Rachel L Yung; Arti Hurria Journal: Psychooncology Date: 2017-03-09 Impact factor: 3.894
Authors: Neil K Aaronson; Vittorio Mattioli; Ollie Minton; Joachim Weis; Christoffer Johansen; Susanne O Dalton; Irma M Verdonck-de Leeuw; Kevin D Stein; Catherine M Alfano; Anja Mehnert; Angela de Boer; Lonneke V van de Poll-Franse Journal: EJC Suppl Date: 2014-05-29