匹兹堡睡眠质量指数
斯特罗普效应
睡眠剥夺
医学
口语流利性测试
痴呆
睡眠呼吸暂停
阻塞性睡眠呼吸暂停
睡眠剥夺对认知功能的影响
听力学
人口
心理学
内科学
心脏病学
认知
精神科
睡眠质量
神经心理学
环境卫生
疾病
作者
Heewon Bae,Min Ju Kang,YoungSoon Yang
摘要
Abstract Background Poor sleep quality, obstructive sleep apnea (OSA) and sleep deprivation are risk factors for cardiovascular diseases and cognitive impairment. Cerebral blood flow and its regulation are affected by pathological condition commonly observed in the elder population, such as dementia, history of stroke, diabetes mellitus and hypertension. The aim of this study was to investigate the influence of sleep quality, OSA risk and total sleep time (TST) of prior night in level of activation of the frontal cortex using functional near‐infrared spectroscopy Method We investigated 204 participants without cognitive impairment between the ages of 60 and 85 years. All patients functional near‐infrared spectroscopy (fNIRS) along with cognitive tasks, including digit span, semantic verbal fluency task, stroop test, to investigate hemodynamic response in the fontal cortex of patients with depression compared to a healthy elderly group. The Pittsburgh Sleep Quality Index (PSQI) for sleep quality, STOP‐BANG questionnaire for risk of OSA, and TST of prior night which reported by participants was assessed. Result In poor sleep quality group (PSQI<5), reduced hemodynamics during the Stroop task compared to control group in all channel average (Mean accΔHbO 2 of 0.11μM in poor sleep quality group versus ‐0.12 μM in control, p<0.05) and right channel average (Mean accΔHbO 2 of 0.01μM and ‐0.03 μM, p<0.05). In sleep deprived group (TST<5), reduced hemodynamics during the verbal fluency test was observed in right channel average (Mean accΔHbO 2 of 0.024 in sleep deprived group versus 0.01 μM in control, p<0.05). There was no significant difference between high risk of OSA group (STOP‐BANG>5) and control group in all cognitive tasks. Conclusion Poor sleep quality and sleep deprivation (<5 hours) may be an important factor that influences cortical oxygenation in the elderly population.
科研通智能强力驱动
Strongly Powered by AbleSci AI