符号数字模式测试:来自澳大利亚全国代表性样本的规范性数据。

Kim M Kiely, Peter Butterworth, Nicole Watson, Mark Wooden
{"title":"符号数字模式测试:来自澳大利亚全国代表性样本的规范性数据。","authors":"Kim M Kiely,&nbsp;Peter Butterworth,&nbsp;Nicole Watson,&nbsp;Mark Wooden","doi":"10.1093/arclin/acu055","DOIUrl":null,"url":null,"abstract":"<p><p>Data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey were used to calculate weighted norms for the written version of the Symbol Digits Modalities Test (SDMT) by gender, 5-year age groups and four levels of educational attainment. The sample comprised 14,456 Australians (47% male; age range 15-100), of whom 25% reported a tertiary qualification, 30% reported a technical qualification (diploma or trade certificate), 16% reported completing Year 12 (final year of high school), and 29% reported their highest level of educational attainment to be Year 11 or below. Participants were excluded if they reported physical or neurological conditions that limited performance. Age, gender, and education were all significantly associated with SDMT performance, as was poor health, and cultural background. The reported norms are of greater scope and precision than previously available and have utility in a range of clinical and research settings. Indeed, normative data for the SDMT that are representative of a national population have not previously been published.</p>","PeriodicalId":520564,"journal":{"name":"Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists","volume":" ","pages":"767-75"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/arclin/acu055","citationCount":"73","resultStr":"{\"title\":\"The Symbol Digit Modalities Test: Normative data from a large nationally representative sample of Australians.\",\"authors\":\"Kim M Kiely,&nbsp;Peter Butterworth,&nbsp;Nicole Watson,&nbsp;Mark Wooden\",\"doi\":\"10.1093/arclin/acu055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey were used to calculate weighted norms for the written version of the Symbol Digits Modalities Test (SDMT) by gender, 5-year age groups and four levels of educational attainment. The sample comprised 14,456 Australians (47% male; age range 15-100), of whom 25% reported a tertiary qualification, 30% reported a technical qualification (diploma or trade certificate), 16% reported completing Year 12 (final year of high school), and 29% reported their highest level of educational attainment to be Year 11 or below. Participants were excluded if they reported physical or neurological conditions that limited performance. Age, gender, and education were all significantly associated with SDMT performance, as was poor health, and cultural background. The reported norms are of greater scope and precision than previously available and have utility in a range of clinical and research settings. Indeed, normative data for the SDMT that are representative of a national population have not previously been published.</p>\",\"PeriodicalId\":520564,\"journal\":{\"name\":\"Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists\",\"volume\":\" \",\"pages\":\"767-75\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/arclin/acu055\",\"citationCount\":\"73\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1093/arclin/acu055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2014/10/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1093/arclin/acu055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/10/28 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 73

摘要

来自澳大利亚家庭、收入和劳动力动态调查(HILDA)的数据被用于按性别、5岁年龄组和四个教育程度计算符号数字模式测试(SDMT)书面版本的加权规范。样本包括14,456名澳大利亚人(47%为男性;年龄在15-100岁之间),其中25%的人报告了高等教育资格,30%的人报告了技术资格(文凭或行业证书),16%的人报告完成了12年级(高中的最后一年),29%的人报告他们的最高教育程度是11年级或以下。如果参与者报告的身体或神经状况限制了他们的表现,他们就被排除在外。年龄、性别和教育程度都与SDMT的表现显著相关,健康状况不佳和文化背景也是如此。报告的规范比以前的范围和精度更大,并在一系列临床和研究环境中具有实用性。事实上,代表全国人口的SDMT的规范性数据以前从未发表过。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Symbol Digit Modalities Test: Normative data from a large nationally representative sample of Australians.

Data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey were used to calculate weighted norms for the written version of the Symbol Digits Modalities Test (SDMT) by gender, 5-year age groups and four levels of educational attainment. The sample comprised 14,456 Australians (47% male; age range 15-100), of whom 25% reported a tertiary qualification, 30% reported a technical qualification (diploma or trade certificate), 16% reported completing Year 12 (final year of high school), and 29% reported their highest level of educational attainment to be Year 11 or below. Participants were excluded if they reported physical or neurological conditions that limited performance. Age, gender, and education were all significantly associated with SDMT performance, as was poor health, and cultural background. The reported norms are of greater scope and precision than previously available and have utility in a range of clinical and research settings. Indeed, normative data for the SDMT that are representative of a national population have not previously been published.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信