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Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study

PURPOSE: To identify the characteristics and subtypes of depressive symptoms and explore the relationship between depressive subtypes and age among Chinese female breast cancer patients. METHOD: In this cross-sectional study, 566 breast cancer patients were recruited from three tertiary comprehensiv...

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Autores principales: Li, Yanyan, Liu, Hong, Sun, Yaoyao, Li, Jie, Chen, Yanhong, Zhang, Xuan, Wang, Juan, Wu, Liuliu, Shao, Di, Cao, Fenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIMS Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568601/
https://www.ncbi.nlm.nih.gov/pubmed/34786429
http://dx.doi.org/10.3934/publichealth.2021055
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author Li, Yanyan
Liu, Hong
Sun, Yaoyao
Li, Jie
Chen, Yanhong
Zhang, Xuan
Wang, Juan
Wu, Liuliu
Shao, Di
Cao, Fenglin
author_facet Li, Yanyan
Liu, Hong
Sun, Yaoyao
Li, Jie
Chen, Yanhong
Zhang, Xuan
Wang, Juan
Wu, Liuliu
Shao, Di
Cao, Fenglin
author_sort Li, Yanyan
collection PubMed
description PURPOSE: To identify the characteristics and subtypes of depressive symptoms and explore the relationship between depressive subtypes and age among Chinese female breast cancer patients. METHOD: In this cross-sectional study, 566 breast cancer patients were recruited from three tertiary comprehensive hospital in Shandong Province, China through convenient sampling from April 2013 to June 2019. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Data analyses included descriptive analyses, latent class analysis. RESULTS: There were significant differences in specific depressive symptoms by age group, but no significant difference in total scores on PHQ-9. The depressive subtypes were severe (Class 4), relatively severe (Class 3; with lower psychomotor agitation/retardation and suicidal ideation), moderate (Class 2; with higher psychomotor agitation/retardation and suicidal ideation), and mild depressive symptoms (Class 1). The distribution of depression subtypes is different in various age groups. In the 45–59 age groups, severe symptoms subtype showed the highest ratios (i.e. 50.3%). CONCLUSION: This is the first study that analyses depressive symptom characteristics and identifies depressive subtypes in Chinese women with breast cancer across ages to explore symptom heterogeneity. Our findings can contribute to identifying the mechanisms behind these relationships and developing targeted interventions for patients with specific depressive subtypes.
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spelling pubmed-85686012021-11-15 Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study Li, Yanyan Liu, Hong Sun, Yaoyao Li, Jie Chen, Yanhong Zhang, Xuan Wang, Juan Wu, Liuliu Shao, Di Cao, Fenglin AIMS Public Health Research Article PURPOSE: To identify the characteristics and subtypes of depressive symptoms and explore the relationship between depressive subtypes and age among Chinese female breast cancer patients. METHOD: In this cross-sectional study, 566 breast cancer patients were recruited from three tertiary comprehensive hospital in Shandong Province, China through convenient sampling from April 2013 to June 2019. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Data analyses included descriptive analyses, latent class analysis. RESULTS: There were significant differences in specific depressive symptoms by age group, but no significant difference in total scores on PHQ-9. The depressive subtypes were severe (Class 4), relatively severe (Class 3; with lower psychomotor agitation/retardation and suicidal ideation), moderate (Class 2; with higher psychomotor agitation/retardation and suicidal ideation), and mild depressive symptoms (Class 1). The distribution of depression subtypes is different in various age groups. In the 45–59 age groups, severe symptoms subtype showed the highest ratios (i.e. 50.3%). CONCLUSION: This is the first study that analyses depressive symptom characteristics and identifies depressive subtypes in Chinese women with breast cancer across ages to explore symptom heterogeneity. Our findings can contribute to identifying the mechanisms behind these relationships and developing targeted interventions for patients with specific depressive subtypes. AIMS Press 2021-10-20 /pmc/articles/PMC8568601/ /pubmed/34786429 http://dx.doi.org/10.3934/publichealth.2021055 Text en © 2021 the Author(s), licensee AIMS Press https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) )
spellingShingle Research Article
Li, Yanyan
Liu, Hong
Sun, Yaoyao
Li, Jie
Chen, Yanhong
Zhang, Xuan
Wang, Juan
Wu, Liuliu
Shao, Di
Cao, Fenglin
Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study
title Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study
title_full Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study
title_fullStr Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study
title_full_unstemmed Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study
title_short Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study
title_sort characteristics and subtypes of depressive symptoms in chinese female breast cancer patients of different ages: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568601/
https://www.ncbi.nlm.nih.gov/pubmed/34786429
http://dx.doi.org/10.3934/publichealth.2021055
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