Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors: a latent profile analysis

Eun Jung Shim, Donghee Jeong, Hyeong Gon Moon, Dong Young Noh, So Youn Jung, Eunsook Lee, Zisun Kim, Hyun Jo Youn, Jihyoung Cho, Jung Eun Lee

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)421-429
Number of pages9
JournalQuality of Life Research
Volume29
Issue number2
DOIs
StatePublished - 1 Feb 2020

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Survivors
Anxiety
Quality of Life
Depression
Breast Neoplasms
Anhedonia
Marital Status
Korea
C-Reactive Protein
Self Report
Analysis of Variance
Sleep
Multivariate Analysis
Cross-Sectional Studies
Education
Health

Keywords

  • Anxiety
  • Breast cancer
  • Depression
  • Latent profile analysis
  • Quality of life

Cite this

Shim, Eun Jung ; Jeong, Donghee ; Moon, Hyeong Gon ; Noh, Dong Young ; Jung, So Youn ; Lee, Eunsook ; Kim, Zisun ; Youn, Hyun Jo ; Cho, Jihyoung ; Lee, Jung Eun. / Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors : a latent profile analysis. In: Quality of Life Research. 2020 ; Vol. 29, No. 2. pp. 421-429.
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Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors : a latent profile analysis. / Shim, Eun Jung; Jeong, Donghee; Moon, Hyeong Gon; Noh, Dong Young; Jung, So Youn; Lee, Eunsook; Kim, Zisun; Youn, Hyun Jo; Cho, Jihyoung; Lee, Jung Eun.

In: Quality of Life Research, Vol. 29, No. 2, 01.02.2020, p. 421-429.

Research output: Contribution to journalArticle

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T1 - Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors

T2 - a latent profile analysis

AU - Shim, Eun Jung

AU - Jeong, Donghee

AU - Moon, Hyeong Gon

AU - Noh, Dong Young

AU - Jung, So Youn

AU - Lee, Eunsook

AU - Kim, Zisun

AU - Youn, Hyun Jo

AU - Cho, Jihyoung

AU - Lee, Jung Eun

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N2 - 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.

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