Sleep duration and breast cancer risk among black and white women, Sleep Medicine, vol.20, pp.25-29, 2016. ,
DOI : 10.1016/j.sleep.2015.11.010
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913026/pdf
Sleep Disorders and Cancer Risk, Impact of Sleep and Sleep Disturbances on Obesity and Cancer, pp.155-167 ,
DOI : 10.1007/978-1-4614-9527-7_8
Sleep duration and cardiometabolic risk factors among individuals with type 2 diabetes, Sleep Medicine, vol.16, issue.1, pp.119-125, 2015. ,
DOI : 10.1016/j.sleep.2014.10.006
Sleep Duration and Snoring in Relation to Biomarkers of Cardiovascular Disease Risk Among Women With Type 2 Diabetes, Diabetes Care, vol.30, issue.5, pp.1233-1240, 2007. ,
DOI : 10.2337/dc06-2107
Associations between Sleep Habits and Dysglycemia in US Adults: A Cross-sectional Analysis, Canadian Journal of Diabetes, p.28647295, 2017. ,
DOI : 10.1016/j.jcjd.2017.04.009
Associations between sleep disorders, sleep duration, quality of sleep, and hypertension: results from the National Health and Nutrition Examination Survey, J Clin Hypertens, 2005. ,
Sleep quality and obesity in young subjects: a meta-analysis, Obesity Reviews, vol.327, issue.Suppl 1, 2016. ,
DOI : 10.1136/bmj.327.7414.557
Physical Activity and Sedentary Time in Sleep Apnea and Obesity, Modulation of Sleep by Obesity, Diabetes, Age, and Diet, pp.297-301 ,
DOI : 10.1016/B978-0-12-420168-2.00032-6
Sleep, alcohol, and quality of life Sleep and Quality of Life in Clinical Medicine, pp.333-339 ,
Determinants of sleep quality in middle-aged women with fibromyalgia syndrome, Journal of Sleep Research, vol.62, issue.1, pp.73-79, 2012. ,
DOI : 10.1002/acr.20140
Family Income and Material Deprivation: Do They Matter for Sleep Quality and Quantity in Early Life? Evidence From a Longitudinal Study, Sleep, vol.40, issue.3, p.28364413, 2017. ,
DOI : 10.1093/sleep/zsw066
Co-Morbidity, Mortality, Quality of Life and the Healthcare/Welfare/Social Costs of Disordered Sleep: A Rapid Review, International Journal of Environmental Research and Public Health, vol.39, issue.8, p.27548196, 2016. ,
DOI : 10.5694/mja13.10620
Relation between sleep quality and quantity, quality of life, and risk of developing diabetes in healthy workers in Japan: the High-risk and Population Strategy for Occupational Health Promotion (HIPOP-OHP) Study, BMC Public Health, vol.22, issue.8, pp.129-139, 2007. ,
DOI : 10.2337/diacare.22.8.1278
Sleep Enhancement Training for Pregnant Women, Obstetrics & Gynecology, vol.128, issue.5, pp.964-971, 2016. ,
DOI : 10.1097/AOG.0000000000001654
Person-directed, non-pharmacological interventions for sleepiness at work and sleep disturbances caused by shift work, Cochrane Database Syst Rev, vol.32, issue.7, p.27549931, 2016. ,
DOI : 10.1002/14651858.CD010641
Sleep Duration and Risk for Hypertension in Women: Results from The Nurses' Health Study, American Journal of Hypertension, vol.26, issue.7, pp.903-911, 2013. ,
DOI : 10.1093/ajh/hpt044
24 hours of sleep, sedentary behavior, and physical activity with nine wearable devices, Med Sci Sports Exerc Oct, vol.1748, issue.3, pp.457-465, 2015. ,
Validity of Wearable Fitness Trackers on Sleep Measure, Medicine & Science in Sports & Exercise, vol.48, issue.5, pp.10-27584196, 2016. ,
DOI : 10.1249/01.mss.0000485037.05259.dd
Evaluation of a consumer fitness-tracking device to assess sleep in adults, Chronobiology International, vol.17, issue.7, pp.1024-1028, 2015. ,
DOI : 10.1111/jsr.2011.20.issue-1pt2
Consumer sleep tracking devices: a review of mechanisms, validity and utility, Expert Review of Medical Devices, vol.11, issue.7, pp.497-506, 2016. ,
DOI : 10.1046/j.1365-2869.1997.00045.x
Systematic review of the validity and reliability of consumer-wearable activity trackers, International Journal of Behavioral Nutrition and Physical Activity, vol.3, issue.5, pp.159-26684758, 2015. ,
DOI : 10.1038/srep01376
Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Healthy Young Adults, Psychiatry Investigation, vol.14, issue.2, 2017. ,
DOI : 10.4306/pi.2017.14.2.179
How consumer physical activity monitors could transform human physiology research, American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, vol.312, issue.3, 2017. ,
DOI : 10.1152/ajpregu.00349.2016
A comparison of wearable fitness devices, BMC Public Health, vol.16, issue.1, pp.433-27220855, 2016. ,
DOI : 10.1186/s12889-016-3059-0
URL : https://bmcpublichealth.biomedcentral.com/track/pdf/10.1186/s12889-016-3059-0?site=bmcpublichealth.biomedcentral.com
Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England, Journal of Medical Internet Research, vol.18, issue.1, pp.17-26794900, 2016. ,
DOI : 10.1146/annurev-publhealth-031914-122848
Validation of the Withings BP-800 in pregnancy and impact of maternal characteristics on the accuracy of blood pressure measurement, Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health, vol.6, issue.4, pp.406-412, 2016. ,
DOI : 10.1016/j.preghy.2016.09.005
Reliability of sleep measures from four personal health monitoring devices compared to research-based actigraphy and polysomnography. Sensors (Basel), pp.1-27164110, 2016. ,
How valid are wearable physical activity trackers for measuring steps?, European Journal of Sport Science, vol.1, issue.1, p.27912681, 2017. ,
DOI : 10.1123/jpah.6.4.475
Association between Sleep Duration and Measurable Cardiometabolic Risk Factors in Healthy Korean Women: The Fourth and Fifth Korean National Health and Nutrition Examination Surveys (KNHANES IV and V), International Journal of Endocrinology, vol.32, issue.3, pp.3784210-3784220, 2016. ,
DOI : 10.1046/j.1365-2869.1999.00155.x
Subjective Sleep Characteristics of 1,485 Males and Females Aged 50-93: Effects of Sex and Age, and Factors Related to Self-Evaluated Quality of Sleep, The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, vol.51, issue.3, pp.108-115, 1996. ,
DOI : 10.1093/gerona/51A.3.M108
Heart rate variability, sleep and sleep disorders, Sleep Medicine Reviews, vol.16, issue.1, pp.66-21658979, 2012. ,
DOI : 10.1016/j.smrv.2011.02.005
Gender differences in obstructive sleep apnea and the associated public health burden, Sleep and Biological Rhythms, vol.19, issue.3, pp.196-209, 2015. ,
DOI : 10.1097/MCP.0b013e3283659e1e
Sex Differences in Sleep, Encyclopedia of Sleep, pp.104-107 ,
DOI : 10.1016/B978-0-12-378610-4.00247-3
The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: a cross-sectional study, International Journal of Behavioral Nutrition and Physical Activity, vol.14, issue.5, pp.42-25890168, 2015. ,
DOI : 10.1016/j.jsams.2011.03.013
Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis, JMIR mHealth and uHealth, vol.33, issue.1, pp.40-27122452, 2016. ,
DOI : 10.2196/jmir.1338
URL : http://mhealth.jmir.org/article/downloadSuppFile/4461/33292