Eun-Jung Shim1, Donghee Jeong1, Hyeong-Gon Moon2, Dong-Young Noh2, So-Youn Jung3, Eunsook Lee3, Zisun Kim4, Hyun Jo Youn5, Jihyoung Cho6, Jung Eun Lee7,8. 1. Department of Psychology, Pusan National University, Busan, Korea. 2. Department of Surgery & Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. 3. Breast Cancer Center, National Cancer Center, Goyang, Korea. 4. Department of Surgery, Soonchunhyang University Bucheon Hospital, Bucheon, Korea. 5. Department of Surgery, Chonbuk National University Medical School, Jeonju, Korea. 6. Department of Surgery, Keimyung University School of Medicine, Daegu, Korea. 7. Department of Food and Nutrition, Seoul National University, Seoul, Korea. jungelee@snu.ac.kr. 8. Research Institute of Human Ecology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea. jungelee@snu.ac.kr.
Abstract
PURPOSE: The aim of this study was to examine profiles of depressive symptoms and the association with anxiety and quality of life (QOL) in breast cancer survivors. METHODS: A cross-sectional multicenter survey involving 5 hospitals in Korea was implemented between February 2015 and January 2017. A self-report survey included the Patient Health Questionnaire-9, Short Form 36, and State and Trait Anxiety Scale. Data from 347 patients were analyzed. RESULTS: Latent profile analysis identified five profiles of depressive symptoms: (1) "no depression" (63.98%); (2) "mild depression with sleep problems" (16.43%); (3) "mild depression" (8.65%); (4) "moderate depression with anhedonia" (7.78%); and (5) "moderately severe depression" (3.17%). Results from Fisher's exact test and analysis of variance (ANOVA) to examine whether sociodemographic and clinical characteristics distinguish the classes indicated that marital status, income and education as well as C-reactive protein distinguished a few classes. Multivariate analysis of covariance and analysis of covariance results indicated that both types of anxiety as well as several dimensions of QOL differed between the identified classes. CONCLUSIONS: The current results suggest that although identified classes were characterized overall by severity of depression, a few classes also reflected pronounced individual symptom patterns, warranting tailored interventions for these symptom patterns, along with overall severity of depression.
PURPOSE: The aim of this study was to examine profiles of depressive symptoms and the association with anxiety and quality of life (QOL) in breast cancer survivors. METHODS: A cross-sectional multicenter survey involving 5 hospitals in Korea was implemented between February 2015 and January 2017. A self-report survey included the Patient Health Questionnaire-9, Short Form 36, and State and Trait Anxiety Scale. Data from 347 patients were analyzed. RESULTS: Latent profile analysis identified five profiles of depressive symptoms: (1) "no depression" (63.98%); (2) "mild depression with sleep problems" (16.43%); (3) "mild depression" (8.65%); (4) "moderate depression with anhedonia" (7.78%); and (5) "moderately severe depression" (3.17%). Results from Fisher's exact test and analysis of variance (ANOVA) to examine whether sociodemographic and clinical characteristics distinguish the classes indicated that marital status, income and education as well as C-reactive protein distinguished a few classes. Multivariate analysis of covariance and analysis of covariance results indicated that both types of anxiety as well as several dimensions of QOL differed between the identified classes. CONCLUSIONS: The current results suggest that although identified classes were characterized overall by severity of depression, a few classes also reflected pronounced individual symptom patterns, warranting tailored interventions for these symptom patterns, along with overall severity of depression.
Entities:
Keywords:
Anxiety; Breast cancer; Depression; Latent profile analysis; Quality of life
Authors: Mogens Groenvold; Morten Aagaard Petersen; Ellen Idler; Jakob Bue Bjorner; Peter M Fayers; Henning T Mouridsen Journal: Breast Cancer Res Treat Date: 2007-01-03 Impact factor: 4.872
Authors: Hong Jin Jeon; Daihui Peng; Hong Choon Chua; Manit Srisurapanont; Maurizio Fava; Jae-Nam Bae; Sung Man Chang; Jin Pyo Hong Journal: J Affect Disord Date: 2013-02-13 Impact factor: 4.839
Authors: Signe R Andersen; Hanne Würtzen; Marianne Steding-Jessen; Jane Christensen; Klaus K Andersen; Henrik Flyger; Cathy Mitchelmore; Christoffer Johansen; Susanne O Dalton Journal: Acta Oncol Date: 2013-01-03 Impact factor: 4.089
Authors: Brandon L Pierce; Rachel Ballard-Barbash; Leslie Bernstein; Richard N Baumgartner; Marian L Neuhouser; Mark H Wener; Kathy B Baumgartner; Frank D Gilliland; Bess E Sorensen; Anne McTiernan; Cornelia M Ulrich Journal: J Clin Oncol Date: 2009-05-26 Impact factor: 44.544