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DAILY STEP ACTIVITY METRICS AS PREDICTORS OF PREFRONTAL CORTICAL VOLUME AND EXECUTIVE FUNCTIONING IN OLDER ADULTS

机译:日常活动能力指标预测老年人的前庭皮质容积和执行功能

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摘要

Interventions that incorporate sustained, low-intensity physical activity in older adulthood have shown promise for mitigating aging-related declines in executive functioning (EF) and the prefrontal cortex (PFC)—although the benefits of low-intensity physical activity in daily life remain unclear. Recently, novel metrics have been derived from wearable activity monitors that better capture patterns in daily physical activity. One example is fragmentation, which has been shown to predict mobility and mortality in older adults. This study examined the associations between step activity metrics, PFC volume, and multiple EF measures in community-dwelling older adults. The Brain Health Study of the Baltimore Experience Corps Trial included 90 participants (age M=67.3, range:[60,82]; 89% African-American) that completed neuropsychological tests, an MRI, and wore a step-activity monitor for three to seven days. We used this step-activity data to derive both traditional metrics (i.e., total steps) that assess average activity and novel metrics (i.e., fragmentation) of activity patterns. Prefrontal volumes were segmented using Freesurfer. All multiple linear regressions were adjusted for age, sex, education, BMI, and cardiovascular health indicators. Average total number of steps was not associated with the EF measures, p>.05. Average total number of steps was also not associated with volumes of the superior frontal, b=.07, SE=.05, p=.23, and rostral middle frontal gyri, b=.03, SE=.04, p=.38, after adjusting for intracranial volume. Average daily step activity may not predict neurocognitive correlates of EF. These results will be compared to those found using a fragmentation index, which better captures diurnal patterns of activity.
机译:在成年人中进行持续,低强度体育锻炼的干预措施已显示出有望缓解与衰老有关的执行功能(EF)和前额叶皮层(PFC)下降的可能性-尽管低强度体育锻炼在日常生活中的益处尚不清楚。最近,从可穿戴活动监测器中获得了新颖的指标,该监测器可以更好地捕获日常体育锻炼中的模式。一个例子是碎片化,它被证明可以预测老年人的活动性和死亡率。这项研究检查了社区居民中老年人的步伐活动指标,PFC量和多种EF测量之间的关联。巴尔的摩体验团试验的大脑健康研究包括90位参与者(年龄M = 67.3,范围:[60,82]; 89%的非洲裔美国人)完成了神经心理学测试,核磁共振成像并佩戴了三步活动监测器到七天我们使用此逐步活动数据来导出评估平均活动的传统指标(即总步骤)和活动模式的新颖指标(即碎片)。使用Freesurfer分割前额叶体积。所有多元线性回归均针对年龄,性别,教育程度,BMI和心血管健康指标进行了调整。平均总步数与EF度量无关,p> .05。平均总步数也与上额额b = .07,SE = .05,p = .23和延髓中额回回的体积b = .03,SE = .04,p =不相关。 38,调整颅内容积后。平均每日步伐活动可能无法预测EF的神经认知相关性。将这些结果与使用碎片指数发现的结果进行比较,该指数可以更好地捕获昼夜活动模式。

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