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Socio-demographic characteristics and cognitive performance in oldest old subjects asking for driving license renewal

机译:最古老的科目中的社会人口统计学特征和认知性能要求驾驶许可证更新

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No papers have examined the relationship between socio-demographic characteristics and cognitive performance in oldest old subjects (i.e, ?=?80?years old) asking for driving license renewal. We hypothesize that, even in this highly functioning population, age, sex, and education influence cognitive performance, expressed as total or single domain (raw) test scores. This research question allows to describe, identify, and preserve independence of subjects still able to drive safely. We examined cross-sectionally a cohort of ?=?80?years old subjects (at enrollment) asking for driving license renewal in the Milan area, Italy, 2011–2017. The analysis was restricted to 3378 first and 863?second visits where individual’s cognitive performance was evaluated. According to the study protocol, the Mini Mental State Examination (MMSE) test was administered at the first visit for driving license renewal and the Montreal Cognitive Assessment (MoCA) test at the second visit, following an additional renewal request. Ordinary least squares regression models were fitted at either time points. In each model, we included age, sex, and education as independent variables, whereas the dependent variable was total or single domain score for either test. In total, we fitted 15 regression models to assess our research hypothesis. The median subject in our sample reached the maximum scores on domains targeting operational and tactical abilities implied in safe driving, but had sub-optimal scores in the long-term memory domain included among the strategic abilities. In multiple models, being ?=?87 (versus 80-??86?years old) significantly decreased the mean total and memory scores of MMSE, but not those of the MoCA. Females (versus males) had significantly higher mean total and long-term memory scores of either tests, but not other domains. Mean total and single domain scores increased for increasing education levels for either tests, with increments for high school graduates being ~?2 of those with (at most) a junior high school diploma. Sex and education, as well as age to a lesser extent, predict cognitive functioning in our oldest old population, thus confirming that concepts like cognitive reserve and successful ageing are valuable constructs in the identification of older subjects still able to drive.
机译:没有论文已经审查了最古老的科目中社会人口统计学特征和认知性能之间的关系(即>?=?80?岁)要求驾驶许可证续约。我们假设,即使在这种高效的人口,年龄,性和教育中,也会影响认知性能,表达为总数或单一领域(RAW)测试分数。该研究问题允许描述,识别和保持仍然能够驱动的受试者的独立性。我们检查了横断面的队列>?=?80?岁题(入学人员)询问意大利米兰地区的驾驶续签,2011-2017。分析限制在3378年和863次?第二次访问中,其中对个人的认知性能进行了评估。根据研究方案,在额外的续签请求之后,在第一次访问驾驶续签和蒙特利尔认知评估(MOCA)测试时进行迷你精神状态检查(MMSE)测试。普通的最小二乘回归模型安装在任一点。在每个模型中,我们包括年龄,性和教育作为独立变量,而从属变量是总计或单个域分数的测试。总共有15个回归模型,以评估我们的研究假说。我们样本中的中位主题达到了域的最大分数,旨在安全驾驶中隐含的操作和战术能力,但在战略能力中的长期记忆领域具有次优分数。在多个模型中,存在>?=?87(与80 - ?<?86?岁)显着降低了MMSE的平均总数和记忆分数,但不是MOCA。女性(与男性)的总和的总和和长期记忆分数明显高,但不是其他域。对于增加的教育水平来说,平均总数和单一域分数增加了,为您的测试水平增加,高中毕业生的增量是(最多)初中文凭的增量。性和教育,以及较小程度的年龄,预测我们最古老的人口中的认知功能,从而证实了认知储备等概念等概念是在仍然能够开车的较老科目的识别中有价值的构造。

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