Trajectories of depressive symptoms and influencing factors among breast cancer patients: A longitudinal study.

IF 3.1 2区 心理学 Q1 PSYCHOLOGY
Shiyi Chen, Minghong Tang, Zhihui Gu, Li Liu, Hui Wu, Mengyao Li
{"title":"Trajectories of depressive symptoms and influencing factors among breast cancer patients: A longitudinal study.","authors":"Shiyi Chen, Minghong Tang, Zhihui Gu, Li Liu, Hui Wu, Mengyao Li","doi":"10.1037/hea0001480","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Breast cancer patients suffer from depressive symptoms during treatments and may show different trajectories of depressive symptoms. The health ecology model provides an integrated perspective for explaining the factors influencing depressive symptoms. This study aimed to (a) analyze the trajectories of depressive symptoms that may occur in breast cancer patients and (b) explore their influencing factors by the health ecology model.</p><p><strong>Method: </strong>A total of 236 participants (<i>Mdn</i><sub>age</sub> = 55 years) finally completed three valid surveys. The patients answered a personal information sheet, the Self-rating Depression Scale, the Family Environment Scale, the Satisfaction With Life Scale, and the Fear of Progression Questionnaire-Short Form. Data were collected after surgery, 3 months after surgery, and 6 months after surgery. Latent Growth Mixture Modeling was used to identify distinct trajectories of depressive symptoms in patients. Influencing factors of trajectory memberships were identified using multinomial logistic regression.</p><p><strong>Results: </strong>Three distinct trajectory groups (\"slowly rising\"; <i>n</i> = 210, 89%, \"persistently low\"; <i>n</i> = 13, 5.5%, and \"fluctuating\"; <i>n</i> = 13, 5.5%) were revealed for depressive symptoms. Life satisfaction, family environment, and fear of progression were associated with an increasing trend of depressive symptoms, and family environment was associated with a fluctuating trend.</p><p><strong>Conclusion: </strong>Our findings demonstrated the diversity of depressive symptoms changes, along with the impact of factors in psychological behaviors layer and interpersonal networks layer. It helps to identify breast cancer patients at higher risk of increasing or fluctuating depressive symptoms, thereby allowing for relevant psychological interventions. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":55066,"journal":{"name":"Health Psychology","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/hea0001480","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Breast cancer patients suffer from depressive symptoms during treatments and may show different trajectories of depressive symptoms. The health ecology model provides an integrated perspective for explaining the factors influencing depressive symptoms. This study aimed to (a) analyze the trajectories of depressive symptoms that may occur in breast cancer patients and (b) explore their influencing factors by the health ecology model.

Method: A total of 236 participants (Mdnage = 55 years) finally completed three valid surveys. The patients answered a personal information sheet, the Self-rating Depression Scale, the Family Environment Scale, the Satisfaction With Life Scale, and the Fear of Progression Questionnaire-Short Form. Data were collected after surgery, 3 months after surgery, and 6 months after surgery. Latent Growth Mixture Modeling was used to identify distinct trajectories of depressive symptoms in patients. Influencing factors of trajectory memberships were identified using multinomial logistic regression.

Results: Three distinct trajectory groups ("slowly rising"; n = 210, 89%, "persistently low"; n = 13, 5.5%, and "fluctuating"; n = 13, 5.5%) were revealed for depressive symptoms. Life satisfaction, family environment, and fear of progression were associated with an increasing trend of depressive symptoms, and family environment was associated with a fluctuating trend.

Conclusion: Our findings demonstrated the diversity of depressive symptoms changes, along with the impact of factors in psychological behaviors layer and interpersonal networks layer. It helps to identify breast cancer patients at higher risk of increasing or fluctuating depressive symptoms, thereby allowing for relevant psychological interventions. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

乳腺癌患者抑郁症状轨迹及其影响因素:一项纵向研究
目的:乳腺癌患者在治疗过程中出现抑郁症状,并可能表现出不同的抑郁症状轨迹。健康生态学模型为解释影响抑郁症状的因素提供了一个综合的视角。本研究旨在(a)分析乳腺癌患者可能出现的抑郁症状的轨迹,(b)通过健康生态学模型探讨其影响因素。方法:共236名参与者(年龄55岁)完成3次有效问卷调查。患者填写了一份个人信息表、抑郁自评量表、家庭环境量表、生活满意度量表和对进步的恐惧问卷。分别于术后、术后3个月、术后6个月采集数据。潜在生长混合模型用于识别患者抑郁症状的不同轨迹。运用多项逻辑回归分析了轨迹隶属度的影响因素。结果:三个明显的轨迹组(“缓慢上升”;N = 210, 89%,“持续低”;N = 13, 5.5%,“波动”;N = 13, 5.5%)出现抑郁症状。生活满意度、家庭环境和对进展的恐惧与抑郁症状的增加趋势相关,家庭环境与抑郁症状的波动趋势相关。结论:我们的研究结果显示抑郁症状变化的多样性,以及心理行为层和人际网络层因素的影响。它有助于确定抑郁症状增加或波动风险较高的乳腺癌患者,从而允许进行相关的心理干预。(PsycInfo Database Record (c) 2025 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Health Psychology
Health Psychology 医学-心理学
CiteScore
4.90
自引率
2.40%
发文量
170
审稿时长
4-8 weeks
期刊介绍: Health Psychology publishes articles on psychological, biobehavioral, social, and environmental factors in physical health and medical illness, and other issues in health psychology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信