Title: | Influence of day length and physical activity on sleep patterns in older Icelandic men and women |
Author: |
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Date: | 2016-02-15 |
Language: | English |
Scope: | 11 |
School: | School of Health Sciences |
Department: | Faculty of Health Promotion, Sports and Leisure Studies Faculty of Medicine |
Series: | Journal of Clinical Sleep Medicine; 12(2) |
ISSN: | 1550-9389 |
DOI: | https://doi.org/10.5664/jcsm.5486 |
Subject: | Svefn; Öldrun; Lífsgæði; Aging; Accelerometer; Physical activity; Sleep; Seasonal |
URI: | https://hdl.handle.net/20.500.11815/2583 |
Citation:Brychta , R J , Arnardottir , N Y , Johannsson , E , Wright , E C , Eiriksdottir , G , Gudnason , V , Marinac , C R , Davis , M , Koster , A , Caserotti , P , Sveinsson , T , Harris , T & Chen , K Y 2016 , ' Influence of day length and physical activity on sleep patterns in older Icelandic men and women ' , Journal of Clinical Sleep Medicine , vol. 12 , no. 2 , pp. 203-213 . https://doi.org/10.5664/jcsm.5486
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Abstract: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.
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