Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions

Morgenthaler, Timothy I.; Croft, Janet B.; Dort, Leslie C.; Loeding, Lauren D.; Mullington, Janet; Thomas, Sherene M.

doi:10.5664/jcsm.5026

Cited by 21 publications

(13 citation statements)

References 355 publications

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“…For instance, the US Behavioral Risk Factors Surveillance System began asking about insufficient sleep in 1995, and added an optional module in 2009, which also asked about sleep duration, daytime sleepiness and snoring. 119 There is a general need to implement sleep monitoring in public health surveillance systems worldwide as well as a specific need to improve and standardize the measurement of sleep duration and other sleep characteristics in these systems.…”

Section: Public Health Implications Of Secular Trends In Sleep Durationmentioning

confidence: 99%

Past, present, and future: trends in sleep duration and implications for public health

et al. 2017

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Section: Public Health Implications Of Secular Trends In Sleep Durationmentioning

confidence: 99%

Past, present, and future: trends in sleep duration and implications for public health

et al. 2017

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“…As a result, sleep habits have changed significantly and the average sleep duration has become shorter in Japan like other countries. Surveys showed sleep time shortened by more than half hour in recent 15 years between 1995 and 2010 in Japan (Nishitani et al 2013), and consequently, the importance of sleep health is now more emphasized (Morgenthaler et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A longitudinal large-scale objective sleep data analysis revealed a seasonal sleep variation in the Japanese population

Hashizaki

Nakajima

Shiga

et al. 2018

Chronobiology International

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In the contemporary era, when life habits are largely determined by social needs and individual preferences, sleep is nevertheless affected by seasonal environmental changes. Japan has large seasonal and geographical alterations of photoperiod and climate. Japan does not adopt the daylight saving time (DST) system, making it a suitable country for the study of seasonal variations in natural human sleep. The aim of this study was to analyze the seasonal changes in the sleep properties (timing and quality) and identify their relationship with environmental changes. Here, we report an analysis of objective sleep data of 691 161 nights collected from 1856 Japanese participants (age 20-79 years, male 91%, female 9%) for 3 years using contactless biomotion sensors. Sleep onset time did not show clear seasonal variation, but sleep offset time showed a seasonal change with a single latest peak in winter. Seasonal variation was larger during weekends than during weekdays. Sleep offset time well correlated with sunrise time but was different in spring and autumn even when the sunrise time was same, suggesting the role of temperature difference. Sleep quality, estimated by wake time after sleep onset and sleep efficiency, showed seasonal changes with the lowest trough around mid-summer. In conclusion, despite profound social influences, the timing and quality of sleep showed seasonal fluctuation indicating that they were influenced by climate factors even in the developed country.

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“…Sleep apnea (SA) affects at least 25 million adults in the United States. 1,2 Historically, SA has been considered a predominately male condition. Clinic-based studies have estimated that the prevalence of SA among men compared with women approaches a ratio of 8:1.…”

mentioning

confidence: 99%

Sex-Specific Prediction Models for Sleep Apnea From the Hispanic Community Health Study/Study of Latinos

Shah

Hanna

Teng

et al. 2016

Chest

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Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions

Cited by 21 publications

References 355 publications

Past, present, and future: trends in sleep duration and implications for public health

Past, present, and future: trends in sleep duration and implications for public health

A longitudinal large-scale objective sleep data analysis revealed a seasonal sleep variation in the Japanese population

Sex-Specific Prediction Models for Sleep Apnea From the Hispanic Community Health Study/Study of Latinos

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