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Age and Gender Differences in Objective Sleep Properties Using Large-scale Body Acceleration Data in a Japanese Population

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Journal Sci Rep
Specialty Science
Date 2021 May 12
PMID 33976280
Citations 18
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Abstract

Using large-scale objective sleep data derived from body acceleration signals of 68,604 Japanese residents ranging from adolescents to the elderly (10-89 years old), we found significant age- and gender-related differences in sleep properties (timing, duration, and quality) in real-life settings. Time-in-bed and total sleep time (TST) showed a U-shaped association with age, indicating their decrease in adulthood following their increase in the elderly. There was a remarkable shift in sleep phase toward earlier bedtime and earlier wake time with increasing age (> 20 years), together with worsening of sleep quality, which is estimated by sleep efficiency (SE) and wake time after sleep onset. Gender comparisons showed that TST was shorter in women than in similarly aged men, which is much evident after the age of 30 years. This was associated with later bedtimes and greater age-related deterioration of sleep quality in women. Compared to men in the same age group, women over age 50 demonstrated a greater reduction in SE with aging, due mainly to increasing durations of nighttime awakening. These differences can be attributed to several intricately intertwined causes, including biological aging as well as socio-cultural and socio-familial factors in Japan. In conclusion, our findings provide valuable insights on the characteristics of Japanese sleep habits.

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References
1.
Ohayon M . Interactions between sleep normative data and sociocultural characteristics in the elderly. J Psychosom Res. 2004; 56(5):479-86. DOI: 10.1016/j.psychores.2004.04.365. View

2.
Ohayon M . Epidemiological study on insomnia in the general population. Sleep. 1996; 19(3 Suppl):S7-15. DOI: 10.1093/sleep/19.suppl_3.s7. View

3.
Zhang B, Wing Y . Sex differences in insomnia: a meta-analysis. Sleep. 2006; 29(1):85-93. DOI: 10.1093/sleep/29.1.85. View

4.
Mander B, Winer J, Walker M . Sleep and Human Aging. Neuron. 2017; 94(1):19-36. PMC: 5810920. DOI: 10.1016/j.neuron.2017.02.004. View

5.
Czeisler C, Dumont M, Duffy J, Steinberg J, RICHARDSON G, Brown E . Association of sleep-wake habits in older people with changes in output of circadian pacemaker. Lancet. 1992; 340(8825):933-6. DOI: 10.1016/0140-6736(92)92817-y. View