摘要
Objective To report the development,validation,and findings of the Multi-dimensional Attention Rating Scale(MARS),a self-report tool crafted to evaluate six-dimension attention levels.Methods The MARS was developed based on Classical Test Theory(CTT).Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests.Reliability was measured using Cronbach's alpha and test-retest reliability.Structural validity was explored using principal component analysis.Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test(THAT),the Attentional Control Scale(ACS),and the Attention Network Test(ANT).Results The MARS comprises 12 items spanning six distinct dimensions of attention:focused attention,sustained attention,shifting attention,selective attention,divided attention,and response inhibition.As assessed by six experts,the content validation index(CVI)was 0.95,the Cronbach's alpha for the MARS was 0.78,and the test-retest reliability was 0.81.Four factors were identified(cumulative variance contribution rate 68.79%).The total score of MARS was correlated positively with THAT(r=0.60,P<0.01)and ACS(r=0.78,P<0.01)and negatively with ANT's reaction time for alerting(r=−0.31,P=0.049).Conclusion The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
目的本研究旨在研发并验证新的自评工具-多维注意力评定量表(Multi-dimensional Attention Rating Scale,MARS),用于评估个体的6个维度注意力水平。方法基于经典测量理论(Classical Test Theory,CTT)构建MARS自评量表,纳入202名高教育水平健康受试者进行信效度研究。通过Cronbach'sα系数和重测信度评估其信度,采用主成分分析法探索结构效度。效标效度则通过MARS与多伦多医院警觉性测试(Toronto Hospital Alertness Test,THAT)、注意力控制量表(Attentional Control Scale,ACS)评分及注意力网络测试(Attention Network Test,ANT)参数的相关性进行验证。结果MARS包含12个条目,覆盖6个注意力维度:集中性注意、持续性注意、注意转移、选择性注意、分配性注意和反应抑制。6位专家评估平均内容效度指数(content validation index,CVI)为0.95。MARS的Cronbach’sα为0.78,重测信度为0.81。探索性因子分析提取出4个因子,累计方差贡献率为68.79%。MARS总分与THAT(r=0.60,P<0.01)和ACS(r=0.78,P<0.01)总分呈有统计学意义的正相关,并与ANT的警觉网络反应时(RT)呈有统计学意义的负相关(r=−0.31,P=0.049)。结论MARS能够可靠且有效地评估个体在现实情境的多维注意功能,可望为评估精神障碍的多维注意力损害提供科学简便的新工具。
作者
Xin-Yang Zhang
Karen Spruyt
Jia-Yue Si
Lin-Lin Zhang
Ting-Ting Wu
Yan-Nan Liu
Di-Ga Gan
Yu-Xin Hu
Si-Yu Liu
Teng Gao
Yi Zhong
Yao Ge
Zhe Li
Zi-Yan Lin
Yan-Ping Bao
Xue-Qin Wang
Yu-Feng Wang
Lin Lu
张新阳;Karen Spruyt;司佳玥;张琳琳;吴婷婷;刘砚南;干迪嘎;胡宇昕;刘思雨;高腾;仲毅;戈瑶;李喆;林子琰;鲍彦平;王雪芹;王玉凤;陆林(北京大学第六医院,北京大学精神卫生研究所,国家精神心理疾病临床医学研究中心(北京大学第六医院),国家卫生健康委员会精神卫生学重点实验室(北京大学),北京100191;法国巴黎大学,法国国家健康与医学研究院(INSERM),Robert Debré医院,法国巴黎75019;加利福尼亚大学戴维斯分校,美国戴维斯95616;首都师范大学心理学院,北京市学习与认知重点实验室,北京100048;北京师范大学政府管理学院,北京100875;多伦多大学,加拿大多伦多M5S 1A1;北京大学中国药物依赖性研究所,北京市药物依赖性重点实验室,北京100191;北大-清华生命科学联合中心,北京大学IDG麦戈文脑科学研究所,北京大学,北京100871)
基金
科技创新2030-“脑科学与类脑研究”重大项目“睡眠障碍的发病机制及干预技术研究”(编号:2021ZD0201900)课题5(课题编号:2021ZD0201905)
首都卫生发展科研专项(编号:首发2022-2-4115)
首都临床诊疗技术研究及示范应用(Zl91107006619091)。
