Evidence map›Paper›PMID 31628647›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

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

Abstract readMulticenter Study
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Eun-Jung ShimDepartment of Psychology, Pusan National University, Busan, Korea.ORCID http://orcid.org/0000-0001-9807-462X
Donghee JeongDepartment of Psychology, Pusan National University, Busan, Korea.
Hyeong-Gon MoonDepartment of Surgery & Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Dong-Young NohDepartment of Surgery & Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
So-Youn JungBreast Cancer Center, National Cancer Center, Goyang, Korea.
Eunsook LeeBreast Cancer Center, National Cancer Center, Goyang, Korea.
Zisun KimDepartment of Surgery, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
Hyun Jo YounDepartment of Surgery, Chonbuk National University Medical School, Jeonju, Korea.
Jihyoung ChoDepartment of Surgery, Keimyung University School of Medicine, Daegu, Korea.
Jung Eun LeeDepartment of Food and Nutrition, Seoul National University, Seoul, Korea. jungelee@snu.ac.kr.

Funding

National Research Foundation of Korea NRF-2014R1A2A2A01007794
6 · The paper itself

Abstract

purposeThe 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.

methodsA 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.

resultsLatent 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.

conclusionsThe 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.

Indexed as

Anxiety DisordersBreast NeoplasmsCancer SurvivorsCross-Sectional StudiesDepressionFemaleHumansMiddle AgedQuality of LifeSurveys and QuestionnairesAnxietyBreast cancerDepressionLatent profile analysisQuality of life

Identifiers

PMID31628647

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.