Powe B D
Medical University of South Carolina's College of Nursing in Charleston, USA.
Oncol Nurs Forum. 1995 Oct;22(9):1355-9.
To determine the relationship between selected demographic factors (e.g., education, income, ethnicity, gender, age) and cancer fatalism.
Descriptive study.
Randomly selected senior citizen centers in a southern state.
The majority of the participants (N = 192) were female African Americans. Mean age of participants was 76 years, mean years of education was < or = 8 years, and mean income was below $6,500 per year.
Demographic data was collected and Powe Fatalism Inventory was completed in face-to-face interviews.
Education, income, ethnicity, gender, age, and cancer fatalism.
Significant negative correlations between cancer fatalism and education and income were found. Significant correlations also existed between cancer fatalism and ethnicity and gender. Age was not a significant predictor of cancer fatalism.
As participants' level of education and income decreased, cancer fatalism scores increased. African Americans and females had higher mean cancer fatalism scores. Education, income, ethnicity, and gender could be used to predict cancer fatalism scores.
Future research should evaluate the relationship between cancer fatalism and early detection practices.
确定选定的人口统计学因素（如教育程度、收入、种族、性别、年龄）与癌症宿命论之间的关系。
描述性研究。
在南部一个州随机选择的老年中心。
大多数参与者（N = 192）为非裔美国女性。参与者的平均年龄为76岁，平均受教育年限小于或等于8年，平均年收入低于6500美元。
收集人口统计学数据，并通过面对面访谈完成《鲍尔宿命论量表》。
教育程度、收入、种族、性别、年龄和癌症宿命论。
发现癌症宿命论与教育程度和收入之间存在显著负相关。癌症宿命论与种族和性别之间也存在显著相关性。年龄不是癌症宿命论的显著预测因素。
随着参与者教育程度和收入水平的降低，癌症宿命论得分升高。非裔美国人和女性的癌症宿命论平均得分较高。教育程度、收入、种族和性别可用于预测癌症宿命论得分。
未来的研究应评估癌症宿命论与早期检测实践之间的关系。
