医学
生存曲线
担心
潜在类模型
答辩人
婚姻状况
癌症
多项式logistic回归
焦虑
临床心理学
老年学
人口学
精神科
内科学
环境卫生
人口
机器学习
法学
社会学
政治学
统计
计算机科学
数学
作者
Samantha J Mayo,Sarah Brennenstuhl,P. Panesar,Ashley Leak Bryant
出处
期刊:Cancer Nursing
[Ovid Technologies (Wolters Kluwer)]
日期:2022-01-31
卷期号:45 (6): 447-456
被引量:2
标识
DOI:10.1097/ncc.0000000000001060
摘要
Background Advances in treatment for hematological cancers warrant greater attention on survivorship concerns. Objective The aims of this study were to describe survivorship concerns among hematological cancer survivors, identify subgroups of survivors with distinct classes of concerns, and examine sociodemographic and clinical differences across subgroups. Methods We conducted a cross-sectional analysis of data from 1160 hematological cancer survivors, who rated their degree of concern regarding 20 physical, emotional, and practical changes. Clusters of concerns were identified using latent class analysis. Associations between respondent characteristics and cluster membership were calculated using multinomial logistic regression. Results Survivors had a mean of 7.5 concerns (SD, 4.6; range, 0-19), the most frequent being fatigue/tiredness (85.4%); anxiety, stress, and worry about cancer returning (70.2%); and changes to concentration/memory (55.4%). Three distinct classes of concerns were identified: class 1 (low, 47.0%), characterized by low endorsement of most concerns, apart from fatigue; class 2 (moderate, 32.3%), characterized by high endorsement of a combination of concerns across domains; and class 3 (high, 20.7%), characterized by the highest number of concerns out of the 3 identified classes, including greater endorsement of concerns relating to sexual well-being. Class membership was differentiated by survivor age, sex, marital status, and diagnosis. Conclusions Three distinct patterns of concerns were detected in a large sample of hematological cancer survivors. Patterns of concerns could be differentiated by survivor characteristics. Implications for Practice Our study highlights the concerns experienced by hematological cancer survivors and provides support for a tailored biopsychosocial approach to survivorship care in this context.
科研通智能强力驱动
Strongly Powered by AbleSci AI