A global quantification of "normal" sleep schedules using smartphone data
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Shining evolutionary light on human sleep and sleep disordersLatitude affects Morningness-Eveningness: evidence for the environment hypothesis based on a systematic reviewComparison of meal patterns across five European countries using standardized 24-h recall (GloboDiet) data from the EFCOVAL project.The effects of self-selected light-dark cycles and social constraints on human sleep and circadian timing: a modeling approach.Work to live, to die, or to be happy?Large-scale physical activity data reveal worldwide activity inequality.Genetic Basis of Chronotype in Humans: Insights From Three Landmark GWAS.Geographic latitude and sleep duration: A population-based survey from the Tropic of Capricorn to the Antarctic Circle.Are Individual Differences in Sleep and Circadian Timing Amplified by Use of Artificial Light Sources?School start time and sleep in Canadian adolescents.A systems theoretic approach to analysis and control of mammalian circadian dynamics.Sleep Quality and Nocturnal Sleep Duration in Pregnancy and Risk of Gestational Diabetes Mellitus.A comparison of passive and active estimates of sleep in a cohort with schizophrenia.Which Sleep Health Characteristics Predict All-Cause Mortality in Older Men? An Application of Flexible Multivariable Approaches.Does stress influence sleep patterns, food intake, weight gain, abdominal obesity and weight loss interventions and vice versa?Clocking self-regulation: why time of day matters for health psychology.Three decades of continuous wrist-activity recording: analysis of sleep duration.Bridging the dichotomy of actual versus aspirational digital health.Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep.Effects of Sleep, Physical Activity, and Shift Work on Daily Mood: a Prospective Mobile Monitoring Study of Medical Interns.Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research.Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial.Analysis for Science Librarians of the 2017 Nobel Prize in Physiology or Medicine: The Life and Work of Jeffrey C. Hall, Michael Rosbash, and Michael W. YoungRhythmicity of Mood Symptoms in Individuals at Risk for Psychiatric Disorders
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P2860
A global quantification of "normal" sleep schedules using smartphone data
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A global quantification of "normal" sleep schedules using smartphone data
@ast
A global quantification of "normal" sleep schedules using smartphone data
@en
A global quantification of "normal" sleep schedules using smartphone data
@en-gb
A global quantification of "normal" sleep schedules using smartphone data
@nl
type
label
A global quantification of "normal" sleep schedules using smartphone data
@ast
A global quantification of "normal" sleep schedules using smartphone data
@en
A global quantification of "normal" sleep schedules using smartphone data
@en-gb
A global quantification of "normal" sleep schedules using smartphone data
@nl
prefLabel
A global quantification of "normal" sleep schedules using smartphone data
@ast
A global quantification of "normal" sleep schedules using smartphone data
@en
A global quantification of "normal" sleep schedules using smartphone data
@en-gb
A global quantification of "normal" sleep schedules using smartphone data
@nl
P2093
P2860
P921
P3181
P356
P1433
P1476
A global quantification of "normal" sleep schedules using smartphone data
@en
P2093
A. Cochran
D. B. Forger
O. J. Walch
P2860
P304
e1501705-e1501705
P3181
P356
10.1126/SCIADV.1501705
P407
P577
2016-05-06T00:00:00Z