Normative sleep data, cognitive function and daily living activities in older adults in the community.

Normative sleep data, cognitive function and daily living activities in older adults in the community.
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社区老年人的正常睡眠数据、认知功能和日常生活活动。

DOI:
10.1093/sleep/28.8.981
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发表时间:
2005
期刊:
影响因子:
5.6
通讯作者:
M. Vecchierini
M. Vecchierini
中科院分区:
医学2区
文献类型:
--
作者:
M. Ohayon;M. Vecchierini

文献摘要

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研究目标 介绍睡眠-觉醒特征的标准数据,并检查与老年人极值相关的风险因素(即,在分布的较低和较高的5个百分位数中)。 设计 电话横断面调查 设置 法国巴黎的大都市区。 参与者 本研究共联络了7010户随机抽取的家庭。其中,1264户居民年满60周岁及以上居民1户;1026户同意参与(参与率:80.9%)。 干预措施 没有。 测量和结果 受试者接受了睡眠-EVAL系统的采访,了解他们的睡眠习惯以及睡眠和精神障碍。此外,该系统还向所有参与者执行心理一般幸福感量表、认知困难量表(Mac Nair-R)和独立生活量表。夜间睡眠时间中位数为7小时,各年龄组间差异无统计学意义。与夜间睡眠时间的5个百分位数(4小时30分钟或以下)正相关的因素是肥胖、健康状况不佳、失眠、失眠并伴有日间嗜睡和认知障碍。在另一端(95%),长睡眠(9小时30分钟或更长)与器质性疾病、缺乏体育锻炼和教育程度低有关。白天睡眠时间超过1小时(95%)与男性、认知障碍、高血压、肥胖和失眠有关。睡眠潜伏期长(80分钟时第95个百分位数)与焦虑、低教育程度、健康状况不佳、失眠无白天过度嗜睡和阻塞性睡眠呼吸暂停综合征有关。肥胖和丧失日常生活活动的自主性与早睡时间(晚上9点或更早)和晚睡时间(凌晨1点或更晚)和早睡时间(或=5AM)和较晚(或=9AM)起床时间有关。 结论 这项研究说明了一般人群中睡眠参数的正态分布对于计算与正态分布极值相关的不同危险因素的有用性。
STUDY OBJECTIVES To present normative data of sleep-wake characteristics and to examine risk factors associated with extreme values (i.e., in the 5 lower and upper percentiles of the distribution) in older adults. DESIGN Cross-sectional telephone survey SETTING The metropolitan area of Paris, France. PARTICIPANTS A total of 7010 randomly selected households were contacted. Among them, 1264 households included at least 1 resident 60 years of age or older; 1026 subjects agreed to participate (participation rate: 80.9%). INTERVENTIONS None. MEASUREMENTS AND RESULTS Subjects were interviewed with the Sleep-EVAL System about their sleeping habits and sleep and psychiatric disorders. In addition, the system administered to all the participants the Psychological General Well-Being Schedule, the Cognitive Difficulties Scale (Mac Nair-R), and an independent living scale. The median nighttime sleep duration was 7 hours without significant difference between the age groups. Factors positively associated with the 5 percentile (4 hours 30 minutes or less) of nighttime sleep duration were obesity, poor health, insomnia, and insomnia accompanied by daytime sleepiness and cognitive impairment. At the other extremity (95th percentile), long sleep (9 hours 30 minutes or more) was associated with organic disease, lack of physical exercise, and lower education. A daytime sleep duration of 1 hour or more (95th percentile) was associated with being a man, cognitive impairment, high blood pressure, obesity, and insomnia. Long sleep latency (95th percentile at 80 minutes) was associated with anxiety, lower education, poor health, insomnia without excessive daytime sleepiness, and obstructive sleep apnea syndrome. Obesity and loss of autonomy in activities of daily living was associated with both early (9 PM or earlier) and late bedtime (1 AM or later) and early (< or = 5 AM) and late (> or = 9 AM) wake-up time. CONCLUSIONS This study illustrates the usefulness of normal distributions of sleep parameters in the general population to calculate different risk factors associated with extreme values of the normal distribution.