수면과 시간생물학 분야에서의 디지털 헬스케어: 새로운 패러다임과 전망
Digital Healthcare in Sleep and Chronobiology: New Paradigms and Perspectives
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
수면장애는 현대 사회에서 증가하고 있는 중요한 건강 문제로, 개인의 삶의 질 저하와 사회경제적 비용 증가를 초래하고 있다. 이러한 상황에서 수면과 시간생물학 분야에서 디지털 기술의 융합은 혁신적인 접근법을 제시하고 있다. 본 특집호는 수면과 시간생물학 분야에서의 디지털 헬스케어 적용에 대한 최신 연구 동향과 전망을 소개한다. 첫째, 정상수면 조절 기전에 기반한 건강한 수면 습관 형성을 위한 디지털 기술의 활용 방안을 제시한다. 둘째, 불면증 디지털 치료기기의 국내외 연구개발 현황을 분석하고, 그 가능성과 과제를 논의한다. 셋째, 다양한 질환의 예방과 관리에 있어 일주기 리듬에 기반한 디지털 헬스케어의 적용 가능성을 탐색한다. 이러한 연구들은 수면의학에서 시간생물학적 원리와 디지털 기술 융합의 중요성을 강조하며, 개인 맞춤형 수면관리의 새로운 패러다임을 제시한다. 그러나 이러한 혁신적 접근의 성공적 안착을 위해서는 다학제간 협력, 기술 개발 및 표준화, 임상적 유효성 검증, 윤리적·법적 문제 해결 등 다각도의 노력이 필요하다. 본 특집호를 통해 시간생물학 기반 디지털 헬스케어가 수면의학의 발전과 국민 건강 증진에 기여할 수 있는 가능성을 제시하고, 이 분야의 연구자와 임상가들에게 새로운 통찰을 제공하고자 한다.
Abstract
Sleep disorders are increasingly recognized as significant health issues in modern society, leading to decreased quality of life and increased socioeconomic costs. In this context, the integration of digital technology in sleep and chronobiology offers innovative approaches. This special issue introduces the latest research trends and prospects in digital healthcare applications in these fields. First, it presents strategies for utilizing digital technology to form healthy sleep habits based on normal sleep regulation mechanisms. Second, it analyzes the current status of research and development of digital therapeutics for insomnia both domestically and internationally, discussing their potential and challenges. Third, it explores the potential applications of circadian rhythm-based digital healthcare in the prevention and management of various diseases. These studies emphasize the importance of integrating chronobiological principles and digital technology in sleep medicine, presenting a new paradigm for personalized sleep management. However, the successful implementation of these innovative approaches requires multifaceted efforts, including interdisciplinary collaboration, technology development and standardization, validation of clinical effectiveness, and resolution of ethical and legal issues. Through this special issue, we aim to highlight the potential of chronobiology-based digital healthcare to contribute to the advancement of sleep medicine and the promotion of public health, while providing new insights for researchers and clinicians in this field.
참고문헌 (75)
- Aledavood T, "Social network differences of chronotypes identified from mobile phone data", EPJ Data Science, 7, pp.46~ (2018)
- Ali FZ, "Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response", NPJ Digital Medicine, 6, pp.81~ (2023)
- Ancoli-Israel S, "The role of actigraphy in the study of sleep and circadian rhythms", Sleep, 26, pp.342~392 (2003)
- Ancoli-Israel S, "Sleep, fatigue, depression, and circadian activity rhythms in women with breast cancer before and after treatment : a 1-year longitudinal study", Supportive Care in Cancer, 22, pp.2535~2545 (2014)
- Ballesta A, "Systems chronotherapeutics", Pharmacological Reviews, 69, pp.161~199 (2017)
- Benoit J, "Systematic review of digital phenotyping and machine learning in psychosis spectrum illnesses", Harvard Review of Psychiatry, 28, pp.296~304 (2020)
- Bhavnani SP, "Mobile technology and the digitization of healthcare", European Heart Journal, 37, pp.1428~ (2016)
- Braghiroli A, "Day and night control of COPD and role of pharmacotherapy : a review", International Journal of Chronic Obstructive Pulmonary Disease, 4, pp.1269~1285 (2020)
- Cho CH, "The beginning of the era of digital therapeutics in Korea : challenges and opportunities", Journal of Korean Medical Science, 38, pp.21~23 (2023)
- Cho CH, "Revolutionizing sleep health : the promise and challenges of digital phenotyping", Chronobiol Med, 5, pp.95~96 (2023)
- Cho CH, "Applying circadian rhythm concepts in digital healthcare", Chronobiol Med, 3, pp.1~3 (2021)
- Cho CH, "Mood prediction of patients with mood disorders by machine learning using passive digital phenotypes based on the circadian rhythm : prospective observational cohort study", Journal of Medical Internet Research, 21, pp.e11029~ (2019)
- Cho CH, "Effectiveness of a smartphone app with a wearable activity tracker in preventing the recurrence of mood disorders : prospective case-control study", JMIR Mental Health, 7, pp.e21283~ (2020)
- Cho CH, "The chronobiologic-based practical approach to shift work", Chronobiol Med, 1, pp.103~106 (2019)
- Cho CH, "Identifying predictive factors for mood recurrence in early-onset major mood disorders : a 4-year, multicenter, prospective cohort study", Psychiatry Research, 335, pp.115882~ (2024)
- Comas M, "A circadian based inflammatory response–implications for respiratory disease and treatment", Sleep Science and Practice, 1, pp.1~19 (2017)
- Coogan AN, "The circadian system in Alzheimer’s disease : disturbances, mechanisms, and opportunities", Biological Psychiatry, 74, pp.333~339 (2013)
- Crowley SJ, "An update on adolescent sleep : new evidence informing the perfect storm model", Journal of Adolescence, 67, pp.55~65 (2018)
- Dallmann R, "Chronopharmacology : new insights and therapeutic implications", Annual Review of Pharmacology and Toxicology, 54, pp.339~361 (2014)
- Espie CA, "Effect of digital cognitive behavioral therapy for insomnia on health, psychological well-being, and sleep-related quality of life : a randomized clinical trial", JAMA Psychiatry, 76, pp.21~30 (2019)
- Facer-Childs E, "The impact of circadian phenotype and time since awakening on diurnal performance in athletes", Current Biology, 25, pp.518~522 (2015)
- Figueiro MG, "Tailored lighting intervention improves measures of sleep, depression, and agitation in persons with Alzheimer’s disease and related dementia living in long-term care facilities", Clinical Interventions in Aging, pp.1527~1537 (2014)
- Fowler P, "Effects of simulated domestic and international air travel on sleep, performance, and recovery for team sports", Scandinavian Journal of Medicine & Science in Sports, 25, pp.441~451 (2015)
- Golinelli D, "Adoption of digital technologies in health care during the COVID-19 pandemic : systematic review of early scientific literature", Journal of Medical Internet Research, 22, pp.e22280~ (2020)
- Gruber R, "Position statement on pediatric sleep for psychiatrists", Journal of the Canadian Academy of Child and Adolescent Psychiatry, 23, pp.174~ (2014)
- Gu W, "Association of restactivity circadian rhythm with chronic respiratory diseases, a cross-section survey from NHANES 2011–2014", Respiratory Medicine, 209, pp.107147~ (2023)
- Haspel JA, "Circadian rhythm reprogramming during lung inflammation", Nature Communications, 5, pp.4753~ (2014)
- Hatori M, "Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet", Cell Metabolism, 15, pp.848~860 (2012)
- Henson P, "Towards clinically actionable digital phenotyping targets in schizophrenia", NPJ Schizophr, 6, pp.13~ (2020)
- Hermida RC, "Circadian rhythms in blood pressure regulation and optimization of hypertension treatment with ACE inhibitor and ARB medications", American Journal of Hypertension, 24, pp.383~391 (2011)
- Hermida RC, "Influence of circadian time of hypertension treatment on cardiovascular risk : results of the MAPEC study", Chronobiology international, 27, pp.1629~1651 (2010)
- Hiscock H, "Impact of a behavioural sleep intervention on symptoms and sleep in children with attention deficit hyperactivity disorder, and parental mental health : randomised controlled trial", BMJ, 350, pp.h68~ (2015)
- Ince LM, "Influence of circadian clocks on adaptive immunity and vaccination responses", Nature communications, 14, pp.476~ (2023)
- James SM, "Shift work : disrupted circadian rhythms and sleep—implications for health and well-being", Current Sleep Medicine Reports, 3, pp.104~112 (2017)
- Jeong S, "Circadian rhythm of heart rate assessed by wearable devices tends to correlate with the circadian rhythm of salivary cortisol concentration in healthy young adults", Chronobiol Med, 2, pp.109~114 (2020)
- Kaufmann CN, "Daytime midpoint as a digital biomarker for chronotype in bipolar disorder", Journal of Affective Disorders, 241, pp.586~591 (2018)
- Kim DW, "Chemotherapy delivery time affects treatment outcomes of female patients with diffuse large B cell lymphoma", JCI Insight, 8, pp.e164767~ (2023)
- Kim WP, "Machine learning–based prediction of attention-deficit", hyperactivity disorder and sleep problems with wearable data in children, 2023, pp.6, e233502~e233502
- Kolla BP, "Consumer sleep tracking devices : a review of mechanisms, validity and utility", Expert Review of Medical Devices, 13, pp.497~506 (2016)
- Krakowiak K, "The role of the body clock in asthma and COPD : implication for treatment", Pulmonary Therapy, 4, pp.29~43 (2018)
- Kvedar J, "Connected health : a review of technologies and strategies to improve patient care with telemedicine and telehealth", Health Affairs, 33, pp.194~199 (2014)
- Lastella M, "Sleep", wake behaviours of elite athletes from individual and team sports, 2015, pp.15, 94~100
- Lee HA, "Comparison of wearable activity tracker with actigraphy for sleep evaluation and circadian rest-activity rhythm measurement in healthy young adults", Psychiatry Investigation, 14, pp.179~ (2017)
- Lee HJ, "Prediction of impending mood episode recurrence using real-time digital phenotypes in major depression and bipolar disorders in South Korea : a prospective nationwide cohort study", Psychological Medicine, 53, pp.5636~5644 (2023)
- Leng Y, "Association between circadian rhythms and neurodegenerative diseases", The Lancet Neurology, 18, pp.307~318 (2019)
- Leu HB, "Association of circadian genes with diurnal blood pressure changes and non-dipper essential hypertension : a genetic association with young-onset hypertension", Hypertension Research, 38, pp.155~162 (2015)
- Lévi F, "Wrist actimetry circadian rhythm as a robust predictor of colorectal cancer patients survival", Chronobiology International, 31, pp.891~900 (2014)
- Luik AI, "Stability and fragmentation of the activity rhythm across the sleepwake cycle : the importance of age, lifestyle, and mental health", Chronobiology International, 30, pp.1223~1230 (2013)
- Meskó B, "Digital health is a cultural transformation of traditional healthcare", Mhealth, 3, pp.38~ (2017)
- Mohawk JA, "Central and peripheral circadian clocks in mammals", Annual Review of Neuroscience, 35, pp.445~462 (2012)
- Moon JH, "Advanced circadian phase in mania and delayed circadian phase in mixed mania and depression returned to normal after treatment of bipolar disorder", EBioMedicine, 11, pp.285~295 (2016)
- Mormont M, "Circadian-system alterations during cancer processes : a review", International Journal of Cancer, 70, pp.241~247 (1997)
- Morris CJ, "Circadian misalignment increases cardiovascular disease risk factors in humans", Proceedings of the National Academy of Sciences, 113, pp.E1402~E1411 (2016)
- Musiek ES, "Circadian rest-activity pattern changes in aging and preclinical Alzheimer disease", JAMA Neurology, 75, pp.582~590 (2018)
- Neil-Sztramko SE, "Health-related interventions among night shift workers : a critical review of the literature", Scandinavian Journal of Work, Environment & Health, 40, pp.543~556 (2014)
- Ortiz-Tudela E, "The circadian rest-activity rhythm, a potential safety pharmacology endpoint of cancer chemotherapy", International Journal of Cancer, 134, pp.2717~2725 (2014)
- Panda S, "The circadian code: lose weight, supercharge your energy, and transform your health from morning to midnight" (2018), Rodale Books
- Partch CL, "Molecular architecture of the mammalian circadian clock", Trends in Cell Biology, 24, pp.90~99 (2014)
- Pezük P, "Glucocorticoids as entraining signals for peripheral circadian oscillators", Endocrinology, 153, pp.4775~4783 (2012)
- Qian J, "Circadian system and glucose metabolism : implications for physiology and disease", Trends in Endocrinology & Metabolism, 27, pp.282~293 (2016)
- Rahman SA, "Effects of filtering visual short wavelengths during nocturnal shiftwork on sleep and performance", Chronobiology International, 30, pp.951~962 (2013)
- Rijo-Ferreira F, "Genomics of circadian rhythms in health and disease", Genome Medicine, 11, pp.82~ (2019)
- Ruben MD, "Dosing time matters", Science, 365, pp.547~549 (2019)
- Scheer FA, "Adverse metabolic and cardiovascular consequences of circadian misalignment", Proceedings of the National Academy of Sciences, 106, pp.4453~4458 (2009)
- Shan Z, "Rotating night shift work and adherence to unhealthy lifestyle in predicting risk of type 2 diabetes : results from two large US cohorts of female nurses", BMJ, 363, pp.k4641~ (2018)
- Skeldon AC, "Extracting circadian and sleep parameters from longitudinal data in schizophrenia for the design of pragmatic light interventions", Schizophrenia Bulletin, 48, pp.447~456 (2022)
- Song YM, "Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder : insights from longitudinal wearable device data", Ebiomedicine, 103, pp.105094~ (2024)
- Steinhubl SR, "Digital medicine, on its way to being just plain medicine", NPJ Digital Medicine, 1, pp.20175~ (2018)
- Truong KK, "Timing matters : circadian rhythm in sepsis, obstructive lung disease, obstructive sleep apnea, and cancer", Annals of the American Thoracic Society, 13, pp.1144~1154 (2016)
- Videnovic A, "Circadian dysregulation in Parkinson’s disease", Neurobiology of Sleep and Circadian Rhythms, 2, pp.53~58 (2017)
- Vitale JA, "Sleep quality and high intensity interval training at two different times of day : a crossover study on the influence of the chronotype in male collegiate soccer players", Chronobiology International, 34, pp.260~268 (2017)
- Vitale JA, "Chronotype, physical activity, and sport performance : a systematic review", Sports Medicine, 47, pp.1859~1868 (2017)
- Wilhelmsen-Langeland A, "A randomized controlled trial with bright light and melatonin for the treatment of delayed sleep phase disorder : effects on subjective and objective sleepiness and cognitive function", Journal of Biological Rhythms, 28, pp.306~321 (2013)
- Wulff K, "Sleep and circadian rhythm disruption in psychiatric and neurodegenerative disease", Nature Reviews Neuroscience, 11, pp.589~599 (2010)
- Yang PL, "Rest-activity rhythm fragmentation and weaker circadian strength are associated with cognitive impairment in survivors of acute respiratory failure", Biological Research for Nursing, 25, pp.5~13 (2023)
