Influence of Day Length and Physical Activity on Sleep Patterns in Older Icelandic Men and Women
Influence of Day Length and Physical Activity on Sleep Patterns in Older Icelandic Men and Women
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DOI：
10.5664/jcsm.5486
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发表时间：
2016-01-01
影响因子：
4.3
通讯作者：
Chen, Kong Y.
中科院分区：
文献类型：
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作者：
Brychta, Robert J.;Arnardottir, Nanna Yr;Chen, Kong Y.
研究目标：使用加速计确定社区居住的冰岛老年人睡眠和身体活动(PA)的横断面和季节性模式。方法：作为冰岛大雷克雅未克地区更大规模人群纵向观察队列研究的一部分，对79.7岁+/-4.9岁的244名(110名女性)成年人进行了为期7天的自由生活方案。一个亚群(n=72)在日照时间较长(13.4+/-1.4h)和较少(7.7+/-1.8h)的季节期间重复7天的测量。结果：采用多元线性回归模型进行横断面分析发现，白天长度是睡眠时间、睡眠中期和起床时间的显著独立预测因素(均P<；0.05)。然而，在白天长度较长和较短的时间段之间，重复者睡眠模式的实际个体内差异相当微小。与女性相比，男性的睡眠时间更短(462+/-80比487+/-68分钟，p=0.008)，起床时间更早，每晚醒来的次数更多(46.50+/-18.3vs.40.2+/-15.7，p=0.007)，但男女之间的睡眠效率和开始潜伏期相似。男性和女性之间以及一天时间较长和较短时间之间的每日PA也是相似的。多元回归分析表明，BMI、年龄、性别和总体PA对睡眠参数的变化有影响。结论：这一特殊人群的睡眠和PA特征表现出一定的性别差异，但对显著的日光变化的反应有限，这可能是长期适应的结果。
Study Objectives: To identify cross-sectional and seasonal patterns of sleep and physical activity (PA) in community-dwelling, older Icelandic adults using accelerometers.Methods: A seven-day free-living protocol of 244 (110 female) adults aged 79.7 +/- 4.9 years was conducted as part of a larger population-based longitudinal observational-cohort study in the greater Reykjavik area of Iceland. A subpopulation (n = 72) repeated the 7-day measurement during seasonal periods with greater (13.4 +/- 1.4 h) and lesser (7.7 +/- 1.8 h) daylight.Results: Cross-sectional analyses using multiple linear regression models revealed that day length was a significant independent predictor of sleep duration, mid-sleep, and rise time (all p < 0.05). However, the actual within-individual differences in sleep patterns of the repeaters were rather subtle between periods of longer and shorter day-lengths. Compared to women, men had a shorter sleep duration (462 +/- 80 vs. 487 +/- 68 minutes, p = 0.008), earlier rise time, and a greater number of awakenings per night (46.5 +/- 18.3 vs. 40.2 +/- 15.7, p = 0.007), but sleep efficiency and onset latency were similar between the two sexes. Daily PA was also similar between men and women and between periods of longer and shorter day-lengths. BMI, age, gender, and overall PA all contributed to the variations in sleep parameters using multiple regression analysis.Conclusions: The sleep and PA characteristics of this unique population revealed some gender differences, but there was limited variation in response to significant daylight changes which may be due to long-term adaptation.