基于《国际功能、残疾和健康分类》的项目反应模型评估癌症患者的供能与营养状况。
Nutrition-associated health levels in persons with cancer: item response modelling based on the International Classification of Functioning, Disability and Health.
发表日期:2023 Sep 21
作者:
Jin-Jin Chen, Zi-Yan Zhu, Jia-Jia Bian, Feng Lin
来源:
European Journal of Physical and Rehabilitation Medicine
摘要:
癌症患者的营养状况是其健康和福祉的重要决定因素,解决与营养相关的功能情况对于维持身体活动水平和参与日常活动至关重要。本研究旨在使用项目反应理论,针对癌症患者的营养状况,确定一种基于证据的《国际功能、残疾与健康分类》(ICF)量表,可区分和评估癌症幸存者的与营养相关的功能情况。横断面研究。南京医科大学附属苏州同济医院。本研究纳入了100名癌症患者。通过方便抽样,研究向参与者提供了一个由89个ICF项目组成的问卷调查。通过数据整理、非参数项目反应理论分析和参数项目反应理论分析,使用R软件计算了营养ICF量表的心理测评属性。研究提取了一个具有32个项目的一维量表,并构建了一个具有良好拟合度的二参数逻辑模型,其均方根误差估计(RMSEA)= 0.0759,Tucker-Lewis指数(TLI)= 0.9655,比较适合指数(CFI)= 0.9677。该模型表现出高可靠性,Cronbach's α为0.95,Guttman λ2 为0.95,Molenaar Sijtsma统计量为0.96,潜在类别可靠性系数(LCRC)为0.98。此外,32个ICF项目的总得分与患者生成的主观全球评估(PG-SGA)得分(P<0.001,r=-0.77)和迷你营养评估(MNA)得分(P<0.001,r=0.76)之间存在较强的相关性,表明32个项目的量表具有很高的效度。本研究构建了一个基于证据的32项ICF营养量表和2PLM,用于评估癌症患者的营养相关健康水平,具有高效度和可靠性。基于ICF的IRT模型为区分癌症患者的营养相关健康水平提供了一种有前景的评估工具,并为选择康复干预目标提供了辅助方法。这有潜力改善癌症治疗的结果,提高癌症幸存者的生活质量。
The nutritional status of individuals with cancer is a crucial determinant of their health and well-being, and addressing nutrition-related functioning conditions is essential for maintaining physical activity levels and participating in daily activities.This study aims to identify an evidence-based International Classification of Functioning, Disability and Health (ICF) scale using item response theory for nutrition conditions in patients with cancer, which can differentiate and assess nutrition-related functioning conditions of cancer survivors.Cross-sectional study.Sir Run Run Hospital, Nanjing Medical University.One hundred cancer patients were enrolled.Via convenience sampling, the study administered a questionnaire consisting of 89 ICF items to participants. The original five-point rating system was binarized (1 = no problem, 0 = problem). Through data shaping, non-parametric IRT analysis and parametric IRT analysis, psychometric properties of nutritional ICF scale were calculated using R software.The study extracted a unidimensional scale with 32 items and constructed 2-parameter logistic model with good fitness, whose root mean square error approximation (RMSEA) = 0.0759, Tucker-Lewis Index (TLI) = 0.9655, and Comparative Fit Index (CFI) = 0.9677. The model demonstrated high reliability, as indicated by a Cronbach's α of 0.95, Guttman λ2 of 0.95, Molenaar Sijtsma statistic of 0.96 and a latent class reliability coefficient (LCRC) of 0.98. Besides, there was a strong correlation between the total score of 32 ICF items and the score of Patient-Generated Subjective Global Assessment (PG-SGA, P<0.001, r=-0.77) and Mini Nutritional Assessment (MNA, P<0.001, r=0.76), suggesting the 32-item scale had high validity.The study constructed an evidence-based ICF scale for nutrition conditions in patients with cancer with 32-item and 2PLM for evaluating nutrition-associated health level in persons with cancer, including high validity and reliability.The IRT model based on ICF provided a promising assessment tool to discriminate nutrition-associated health level of persons with cancer, and offered an auxiliary method for selecting rehabilitation intervention targets. This has the potential to lead to improved outcomes in cancer treatment and increased quality of life for cancer survivors.