Department of Sociology, Case Western Reserve University, Cleveland, OH 44106, USA.
J Am Geriatr Soc. 2009 Nov;57 Suppl 2:S289-92. doi: 10.1111/j.1532-5415.2009.02515.x.
To examine the relative effect of comorbidities, noncancer symptoms, and cancer-related factors on the functioning of older adult long-term survivors of breast, colorectal, and prostate cancers.
Data from in-person interviews with survivors of a tumor registry-based stratified random sample were used to test a multivariate model using ordinary least-squares regression.
Survivors were identified in the tumor registry of a National Cancer Institute-designated Comprehensive Cancer Center in Cleveland, Ohio.
Three hundred twenty-one older (>or=60), long-term (>or=5 years) cancer survivors.
The primary outcome measure, functional difficulty, was measured using Nagi's Performance Limitations Index. Predictors included a number of indicators of survivors' personal characteristics, age-related health characteristics, and cancer-related characteristics.
The model explained 44% of the variance in functional difficulties between the cancer survivors in this sample. The strongest predictors were symptoms not attributed to cancer (beta=0.28) and comorbidities (beta=0.22), although cancer-related factors explained an additional 8% of the variance over that explained by demographic and noncancer health factors, with current cancer-related symptoms being a significant predictor (beta=0.14).
These findings indicate the importance of monitoring cancer-related characteristics along with comorbidities and noncancer symptoms in long-term survivors because they jointly affect overall physical functioning. Special attention needs to be given to women and minority cancer survivors as well.
研究合并症、非癌症症状和癌症相关因素对乳腺癌、结直肠癌和前列腺癌老年长期幸存者功能的相对影响。
使用基于肿瘤登记的分层随机样本的幸存者面对面访谈数据，使用普通最小二乘法回归检验多变量模型。
幸存者在俄亥俄州克利夫兰的国立癌症研究所指定的综合性癌症中心的肿瘤登记处确定。
321 名年龄大于或等于 60 岁的长期（大于或等于 5 年）癌症幸存者。
主要结果测量是使用 Nagi 的表现限制指数测量的功能障碍。预测因素包括幸存者个人特征、年龄相关健康特征和癌症相关特征的一些指标。
该模型解释了该样本中癌症幸存者之间功能障碍差异的 44%。最强的预测因素是归因于癌症以外的症状（β=0.28）和合并症（β=0.22），尽管癌症相关因素在人口统计学和非癌症健康因素解释的基础上额外解释了 8%的方差，目前与癌症相关的症状是一个重要的预测因素（β=0.14）。
这些发现表明，在长期幸存者中监测癌症相关特征以及合并症和非癌症症状的重要性，因为它们共同影响整体身体功能。还需要特别关注女性和少数族裔癌症幸存者。
