癌症患者症状负担和创伤后生长的模式和预测因素:潜伏的个人资料分析
Dongyu Song1, Yongfang Bai2, Yuzhou Liu1
1School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
概括
癌症患者表现出多样化的创伤后生长 (PTG) 模式,家庭的性影响了结果. 了解这些模式可以为个性化护理提供信息,以改善患者的福祉.
科学领域:
- 在瘤学瘤学.
- 心理学 心理学 心理学
- 社会学 社会学 社会学
背景情况:
- 癌症患者经常经历显著的症状负担和不同程度的创伤后生长 (PTG).
- 识别症状负担和PTG的独特模式对于开发有针对性的干预措施至关重要.
研究的目的:
- 在癌症患者中识别症状负担和PTG的不同模式.
- 探索社会人口统计学,与疾病相关的因素和家庭弹性因素对这些模式的影响.
- 为个性化护理措施提供基础.
主要方法:
- 329名正在接受治疗的癌症患者接受了问卷调查.
- 隐形形状分析 (LPA) 用于识别症状负担和PTG的模式.
- 使用多重物流回归分析来确定影响这些模式的因素.
主要成果:
- 潜伏的个人资料分析揭示了三个最佳模式:抵抗 (低症状,低PTG),扎 (高症状,中度PTG) 和增长 (低症状,高PTG).
- 较高的家庭性与属于扎和成长群体的可能性增加有关.
- 特定的家庭性维度 (乐观的态度,家庭/社会支持,超越,精神信仰) 和孩子的数量影响了小组分配.
结论:
- 癌症患者的症状负担和PTG模式存在显著的异质性.
- 有效的患者成长包括心理进步和减少症状负担.
- 家庭相关因素代表了旨在增强癌症患者生长模式的干预措施的潜在目标.
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