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基于健康生态模型的癌症患者高风险抑郁情绪组的分类
Youhua Lu1, Yuantao Qi2, Jin Du3
1School of Public Health, Weifang Medical University, 7166# Baotong West Street, Weifang, Shandong 261053, China; Office of the President, Shandong Cancer Prevention and Treatment Institute (Shandong Cancer Hospital), Cancer Hospital Affiliated to Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China.
抑郁情绪影响超过一半的癌症患者. 哈佛癌症指数有效地识别高风险个体,有助于针对性干预,以改善癌症护理.
科学领域:
- 在瘤学瘤学.
- 精神病学是一个精神病学.
- 公共卫生 公共卫生
背景情况:
- 抑郁情绪在癌症患者中很普遍,对生活质量和治疗结果产生负面影响.
- 识别有风险的癌症患者对于及时干预和改善患者护理至关重要.
研究的目的:
- 开发一种预测模型,用于识别患有抑郁情绪高风险的癌症患者.
- 为癌症患者预防抑郁情绪提供理论支持.
主要方法:
- 利用了来自中国健康与退休长度研究 (CHARLS) 的数据.
- 使用流行病学研究中心的抑郁症度量表 (CES-D) 来评估抑郁情绪.
- 使用二进制后勤回归分析了影响因素,并使用哈佛癌症指数对风险进行了分类.
主要成果:
- 超过50%的癌症患者表现出抑郁情绪的标准.
- 抑郁情绪与性别,自我评估的健康状况,睡眠,运动,家庭满意度,居住,教育,生活满意度和医疗保险有显著的相关性.
- 哈佛癌症指数显示了明显的梯度,更高的风险水平显示了抑郁情绪的发病率增加.
结论:
- 癌症患者的抑郁情绪受到多种因素的影响.
- 哈佛癌症指数是识别抑郁情绪高风险人群的宝贵工具.
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