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

乳腺癌 抑郁症状 临床心理学 医学 纵向研究 癌症 萧条(经济学) 心理学 肿瘤科 精神科 内科学 焦虑 病理 经济 宏观经济学
作者
Shiyi Chen,Minghong Tang,ZhiHui Gu,Liu Li,Hui Wu,Mengyao Li
出处
期刊:Health Psychology [American Psychological Association]
标识
DOI:10.1037/hea0001480
摘要

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. 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. 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. 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).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
影子芳香完成签到 ,获得积分10
刚刚
牛牛要当院士喽完成签到,获得积分10
2秒前
4秒前
YUN发布了新的文献求助10
5秒前
科研通AI5应助wonwojo采纳,获得10
10秒前
倪好完成签到,获得积分10
10秒前
牛牛要当院士喽完成签到,获得积分10
10秒前
JIANG发布了新的文献求助30
10秒前
15秒前
烂漫衫完成签到,获得积分10
20秒前
22秒前
YUN完成签到,获得积分10
24秒前
赵浩宇完成签到,获得积分10
25秒前
Hcc完成签到 ,获得积分10
26秒前
28秒前
糖糖完成签到,获得积分10
30秒前
31秒前
天天快乐应助YI采纳,获得10
31秒前
正直的夏真完成签到,获得积分10
34秒前
35秒前
诗梦完成签到,获得积分10
37秒前
微笑的尔蓝完成签到,获得积分10
38秒前
ChiariRay发布了新的文献求助10
38秒前
40秒前
103921wjk完成签到,获得积分10
41秒前
42秒前
活力晓曼完成签到 ,获得积分10
42秒前
慕青应助科研通管家采纳,获得10
44秒前
烟花应助科研通管家采纳,获得10
44秒前
猪猪hero应助科研通管家采纳,获得10
44秒前
今后应助科研通管家采纳,获得30
44秒前
情怀应助科研通管家采纳,获得10
44秒前
44秒前
WUYONGSHUAI发布了新的文献求助10
44秒前
45秒前
ZD完成签到 ,获得积分10
47秒前
Summer发布了新的文献求助10
48秒前
无尽夏完成签到,获得积分10
48秒前
张张张关注了科研通微信公众号
50秒前
善学以致用应助crillzlol采纳,获得10
52秒前
高分求助中
Basic Discrete Mathematics 1000
Technologies supporting mass customization of apparel: A pilot project 600
Introduction to Strong Mixing Conditions Volumes 1-3 500
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3799219
求助须知:如何正确求助?哪些是违规求助? 3344889
关于积分的说明 10322248
捐赠科研通 3061362
什么是DOI,文献DOI怎么找? 1680250
邀请新用户注册赠送积分活动 806929
科研通“疑难数据库(出版商)”最低求助积分说明 763451