Ravyts SG, Dzierzewski JM. Sleep and Healthy Aging: A Systematic Review and Path Forward. 2022. https://doi.org/10.1080/07317115.2022.2064789.
Wang S, Huang T, Weisskopf MG, Kang JH, Chavarro JE, Roberts AL. Multidimensional Sleep Health Prior to SARS-CoV-2 Infection and Risk of Post-COVID-19 Condition. JAMA Netw Open. 2023;6(5):e2315885.
Loredo JS, Soler X, Bardwell W, Ancoli-Israel S, Dimsdale JE, Palinkas LA. Sleep health in US Hispanic population. Sleep. 2010;33(7):962–7.
Google Scholar
Buysse DJ. Sleep Health: Can We Define It? Does It Matter? Sleep. 2014;37(1):9–17. https://doi.org/10.5665/sleep.3298.
Google Scholar
Chen TY, Lee S, Buxton OM. Multidimensional sleep health is associated with physical frailty in a national sample of Taiwanese community-dwelling older adults: sex matters. Sleep Health. 2022;8(5):528–35.
Google Scholar
Smevik H, Habli S, Saksvik SB, Kliem E, Evensmoen HR, Conde V, et al. Poorer sleep health is associated with altered brain activation during cognitive control processing in healthy adults. Cereb Cortex. 2023;33(11):7100–19.
Google Scholar
Nyholm J, Ghazi AN, Ghazi SN, Sanmartin Berglund J. Prediction of dementia based on older adults’ sleep disturbances using machine learning. Comput Biol Med. 2024;171:108126. https://doi.org/10.1016/j.compbiomed.2024.108126.
Google Scholar
Makarem N, Alcantara C, Musick S, Quesada O, Sears DD, Chen Z, et al. Multidimensional sleep health is associated with cardiovascular disease prevalence and cardiometabolic health in US adults. Int J Environ Res Public Health. 2022;19(17):10749.
Google Scholar
Li J, Vitiello MV, Gooneratne NS. Sleep in normal aging. Sleep Med Clin. 2022;17(2):161–71.
Google Scholar
Koffel E, Ancoli-Israel S, Zee P, Dzierzewski JM. Sleep health and aging: Recommendations for promoting healthy sleep among older adults: A National Sleep Foundation report. Sleep Health. 2023;9(6):821–4.
Google Scholar
Tanaka H, Shirakawa S. Sleep health, lifestyle and mental health in the Japanese elderly: ensuring sleep to promote a healthy brain and mind. J Psychosom Res. 2004;56(5):465–77.
Google Scholar
Landry GJ, Best JR, Liu-Ambrose T. Measuring sleep quality in older adults: a comparison using subjective and objective methods. Front Aging Neurosci. 2015;7:166.
Google Scholar
Foley DJ, Monjan AA, Brown SL, Simonsick EM, Wallace RB, Blazer DG. Sleep complaints among elderly persons: an epidemiologic study of three communities. Sleep. 1995;18(6):425–32.
Google Scholar
Miner B, Kryger MH. Sleep in the aging population. Sleep Med Clin. 2020;15(2):311–8.
Google Scholar
Redshaw T. What Is Digital Society? Reflections on the Aims and Purpose of Digital Sociology. Sociology. 2020;54(2):425–31. https://doi.org/10.1177/0038038519880114.
Google Scholar
Yang J, Fu X, Liao X, Li Y. Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis. Psychiatry Res. 2020;284:112686. https://doi.org/10.1016/j.psychres.2019.112686.
Google Scholar
Anderberg P, Eivazzadeh S, Berglund JS. A Novel Instrument for Measuring Older People’s Attitudes Toward Technology (TechPH): Development and Validation. J Med Internet Res. 2019;21(5):e13951. https://doi.org/10.2196/13951.
Google Scholar
Nimrod G. Technostress: measuring a new threat to well-being in later life. Aging Ment Health. 2018;22(8):1086–93.
Kim HN, Freddolino PP, Greenhow C. Older adults’ technology anxiety as a barrier to digital inclusion: a scoping review. Educ Gerontol. 2023;49(12):1021–38.
Zhu W, Mat Jusoh NH, Alan R, Latip M, Md Saad J. Unlocking Self-Esteem in Older Adults: A Conceptual Exploration of Technological Proficiency and Its Effects. Behav Sci. 2025;15(3):306.
Google Scholar
Wang TL, Vella-Brodrick DA, et al. Examining screen time, screen use experiences, and well-being in adults. Soc Netw. 2018;7(01):32.
Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the uptake of and engagement with health and well-being smartphone apps: systematic review. J Med Internet Res. 2020;22(5):e17572.
Google Scholar
Ghazi SN, Anderberg P, Berglund JS, Berner J, Dallora AL. Psychological Health and Digital Social Participation of the Older Adults during the COVID-19 Pandemic in Blekinge, Sweden–An Exploratory Study. Int J Environ Res Public Health. 2022;19(6):3711. https://doi.org/10.3390/ijerph19063711.
Google Scholar
Tandon A, Kaur P, Dhir A, Mäntymäki M. Sleepless due to social media? Investigating problematic sleep due to social media and social media sleep hygiene. Comput Hum Behav. 2020;113:106487. https://doi.org/10.1016/j.chb.2020.106487.
Google Scholar
Christensen MA, Bettencourt L, Kaye L, Moturu ST, Nguyen KT, Olgin JE, et al. Direct measurements of smartphone screen-time: relationships with demographics and sleep. PLoS ONE. 2016;11(11):e0165331.
Google Scholar
Exelmans L, Van den Bulck J. Bedtime mobile phone use and sleep in adults. Soc Sci Med. 2016;148:93–101. https://doi.org/10.1016/J.SOCSCIMED.2015.11.037.
Google Scholar
Christiansen L, Sanmartin Berglund J, Anderberg P, Cellek S, Zhang J, Lemmens E, et al. Associations Between Mobile Health Technology use and Self-rated Quality of Life: A Cross-sectional Study on Older Adults with Cognitive Impairment. Gerontol Geriatr Med. 2021;7:233372142110189. https://doi.org/10.1177/23337214211018924.
Google Scholar
Choe EK, Kientz JA, Halko S, Fonville A, Sakaguchi D, Watson NF. Opportunities for computing to support healthy sleep behavior. In: CHI ’10 Extended Abstracts on Human Factors in Computing Systems. New York: ACM; 2010. pp. 3661–3666. https://doi.org/10.1145/1753846.1754035.
Rajabi Majd N, Broström A, Ulander M, Lin CY, Griffiths MD, Imani V, et al. Efficacy of a Theory-Based Cognitive Behavioral Technique App-Based Intervention for Patients With Insomnia: Randomized Controlled Trial. J Med Internet Res. 2020;22(4):e15841. https://doi.org/10.2196/15841.
Google Scholar
Cui K, Zou W, Ji X, Zhang X. Does digital technology make people healthier: the impact of digital use on the lifestyle of Chinese older adults. BMC Geriatr. 2024;24(1):85. https://doi.org/10.1186/s12877-023-04651-1.
Google Scholar
Chidambaram S, Jain B, Jain U, Mwavu R, Baru R, Thomas B, et al. An introduction to digital determinants of health. PLoS Digit Health. 2024;3(1):e0000346. https://doi.org/10.1371/journal.pdig.0000346.
Google Scholar
Sieck CJ, Sheon A, Ancker JS, Castek J, Callahan B, Siefer A. Digital inclusion as a social determinant of health. NPJ Digit Med. 2021;4(1):52. https://doi.org/10.1038/s41746-021-00413-8.
Google Scholar
Grandner MA. Social-ecological model of sleep health. In: Sleep and Health. Elsevier; 2019. pp. 45–53. https://doi.org/10.1016/B978-0-12-815373-4.00005-8.
Internetstiftelsen. Svenskarna och internet. 2023. Accessed 01 Oct 2024.
Leist AK. Social Media Use of Older Adults: A Mini-Review. Gerontology. 2013;59(4):378–84. https://doi.org/10.1159/000346818.
Google Scholar
Garcia Reyes EP, Kelly R, Buchanan G, Waycott J. Understanding older adults’ experiences with technologies for health self-management: interview study. JMIR Aging. 2023;6:e43197.
Google Scholar
Exelmans L, Van den Bulck J. Bedtime, shuteye time and electronic media: sleep displacement is a two-step process. J Sleep Res. 2017;26(3):364–70. https://doi.org/10.1111/jsr.12510.
Google Scholar
Brautsch LA, Lund L, Andersen MM, Jennum PJ, Folker AP, Andersen S. Digital media use and sleep in late adolescence and young adulthood: A systematic review. Sleep Med Rev. 2023;68:101742. https://doi.org/10.1016/j.smrv.2022.101742.
Google Scholar
Bruni O, Sette S, Fontanesi L, Baiocco R, Laghi F, Baumgartner E. Technology use and sleep quality in preadolescence and adolescence. J Clin Sleep Med. 2015;11(12):1433–41.
Google Scholar
Bozkurt A, Demirdöğen EY, Akıncı MA. The association between bedtime procrastination, sleep quality, and problematic smartphone use in adolescents: a mediation analysis. Eurasian J Med. 2024;56(1):69.
Google Scholar
Lagergren M, Fratiglioni L, Hallberg IR, Berglund J, Elmståhl S, Hagberg B, et al. A longitudinal study integrating population, care and social services data. The Swedish National study on Aging and Care (SNAC). Aging Clin Exp Res. 2004;16(2):158–68. https://doi.org/10.1007/BF03324546.
Region Blekinge. About Region Blekinge. 2024. 01 Oct 2024.
Benítez I, Roure N, Pinilla L, Sapiña-Beltran E, Buysse DJ, Barbé F, et al. Validation of the Satisfaction, Alertness, Timing, Efficiency and Duration (SATED) Questionnaire for Sleep Health Measurement. Ann Am Thorac Soc. 2020;17(3):338–43. https://doi.org/10.1513/AnnalsATS.201908-628OC.
Google Scholar
Buysse DJ, Reynolds CF III, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.
Google Scholar
Anderberg P, Abrahamsson L, Berglund JS. An Instrument for Measuring Social Participation to Examine Older Adults’ Use of the Internet as a Social Platform: Development and Validation Study. JMIR Aging. 2021;4(2):e23591. https://doi.org/10.2196/23591.
Google Scholar
Mishra P, Pandey C, Singh U, Gupta A, Sahu C, Keshri A. Descriptive statistics and normality tests for statistical data. Ann Card Anaesth. 2019;22(1):67. https://doi.org/10.4103/aca.ACA_157_18.
Google Scholar
Sindi S, Monica Pérez L, Vetrano DL, Triolo F, Kåreholt I, Sjöberg L, et al. Sleep disturbances and the speed of multimorbidity development in old age: results from a longitudinal population-based study. BMC Med. 2020. https://doi.org/10.1186/s12916-020-01846-w.
Google Scholar
Dzierzewski JM, Sabet SM, Ghose SM, Perez E, Soto P, Ravyts SG, et al. Lifestyle Factors and Sleep Health across the Lifespan. Int J Environ Res Public Health. 2021;18(12):6626. https://doi.org/10.3390/ijerph18126626.
Google Scholar
Bjorvatn B, Waage S, Pallesen S, Buysse DJ, Saxvig IW. The association between different sleep health dimensions and sex, age, education, circadian preference, and chronic insomnia: a representative population-based study. Sleep Adv. 2023;4(1). https://doi.org/10.1093/sleepadvances/zpad041.
Manoogian EN, Panda S. Circadian rhythms, time-restricted feeding, and healthy aging. Ageing Res Rev. 2017;39:59–67.
Google Scholar
Asplund R. Sleep, health and visual impairment in the elderly. Arch Gerontol Geriatr. 2000;30(1):7–15. https://doi.org/10.1016/S0167-4943(99)00045-X.
Google Scholar
Blanchflower D, Bryson A. The gender well-being gap. Soc Indic Res. 2024;173:1–45. https://doi.org/10.1007/s11205-024-03334-7.
Ghazi SN, Behrens A, Berner J, Sanmartin Berglund J, Anderberg P. Objective sleep monitoring at home in older adults: A scoping review. J Sleep Res. 2024;34(4):e14436. https://doi.org/10.1111/jsr.14436.
Behrens A, Anderberg P, Berglund JS. Sleep disturbance predicts worse cognitive performance in subsequent years: A longitudinal population-based cohort study. Arch Gerontol Geriatr. 2023;106:104899.
Google Scholar
Beh HC. A survey of daytime napping in an elderly Australian population. Aust J Psychol. 1994;46(2):100–6. https://doi.org/10.1080/00049539408259480.
Google Scholar
Iraola-Real I, Vasquez C, Diaz-Leon I, Iraola-Arroyo A. Self-Efficacy and Digital Anxiety and their Influence on Virtual Educational Performance. Int J Emerg Technol Learn (iJET). 2023. https://doi.org/10.3991/ijet.v18i09.36183.
Chen JH, Lauderdale DS, Waite LJ. Social participation and older adults’ sleep. Soc Sci Med. 2016;149:164–73. https://doi.org/10.1016/J.SOCSCIMED.2015.11.045.
Google Scholar
Chopik WJ. The Benefits of Social Technology Use Among Older Adults Are Mediated by Reduced Loneliness. Cyberpsychology Behav Soc Netw. 2016;19(9):551–6. https://doi.org/10.1089/cyber.2016.0151.
Google Scholar
Szabo A, Allen J, Stephens C, Alpass F. Longitudinal analysis of the relationship between purposes of internet use and well-being among older adults. Gerontologist. 2019;59(1):58–68.
Google Scholar
Brenes GA, Miller ME, Stanley MA, Williamson JD, Knudson M, McCall WV. Insomnia in older adults with generalized anxiety disorder. Am J Geriatr Psychiatr. 2009;17(6):465–72.
Knutson KL, Phelan J, Paskow MJ, Roach A, Whiton K, Langer G, et al. The National Sleep Foundation’s sleep health index. Sleep Health. 2017;3(4):234–40.
Google Scholar
Heath M, Sutherland C, Bartel K, Gradisar M, Williamson P, Lovato N, et al. Does one hour of bright or short-wavelength filtered tablet screenlight have a meaningful effect on adolescents’ pre-bedtime alertness, sleep, and daytime functioning? Chronobiol Int. 2014;31(4):496–505.
Google Scholar
Silvani MI, Werder R, Perret C. The influence of blue light on sleep, performance and wellbeing in young adults: A systematic review. Front Physiol. 2022;13:943108.
Google Scholar
Bauducco S, Pillion M, Bartel K, Reynolds C, Kahn M, Gradisar M. A bidirectional model of sleep and technology use: A theoretical review of How much, for whom, and which mechanisms. Sleep Med Rev. 2024;76:101933. https://doi.org/10.1016/j.smrv.2024.101933.
Google Scholar
Wennerhold L, Friese M. Challenges in the conceptualization of trait self-control as a psychological construct. Soc Personal Psychol Compass. 2023;17(3). https://doi.org/10.1111/spc3.12726.
Bandura A. Self-efficacy mechanism in human agency. Am Psychol. 1982;37(2):122.
Caorong L. The association between self-control and satisfaction in life among Filipino older adults. Jurnal Ners. 2022;17(1). https://doi.org/10.20473/jn.v17i1.34150.
Berner J, Aartsen M, Deeg D. Predictors in starting and stopping Internet use between 2002 and 2012 by Dutch adults 65 years and older. Health Inform J. 2019;25(3):715–30. https://doi.org/10.1177/1460458217720398.
Google Scholar
Johansson AE, Petrisko MA, Chasens ER. Adolescent sleep and the impact of technology use before sleep on daytime function. J Pediatr Nurs. 2016;31(5):498–504.
Google Scholar
Daniels A, Pillion M, Rullo B, Mikulcic J, Whittall H, Bartel K, et al. Technology use as a sleep-onset aid: are adolescents using apps to distract themselves from negative thoughts? Sleep Adv. 2023;4(1):zpac047.
Leung L. Using tablet in solitude for stress reduction: An examination of desire for aloneness, leisure boredom, tablet activities, and location of use. Comput Hum Behav. 2015;48:382–91.
Ghazi SN, Berner J, Anderberg P, Sanmartin Berglund J. The prevalence of eHealth literacy and its relationship with perceived health status and psychological distress during Covid-19: a cross-sectional study of older adults in Blekinge, Sweden. BMC Geriatr. 2023;23(1):5. https://doi.org/10.1186/s12877-022-03723-y.
Google Scholar
Milanti A, Chan DNS, Parut AA, So WKW. Determinants and outcomes of eHealth literacy in healthy adults: a systematic review. PLoS ONE. 2023;18(10):e0291229. https://doi.org/10.1371/journal.pone.0291229.
Google Scholar
Zhu X, Zheng T, Ding L, Zhang X. Exploring associations between eHealth literacy, cyberchondria, online health information seeking and sleep quality among university students: A cross-section study. Heliyon. 2023;9(6):e17521. https://doi.org/10.1016/j.heliyon.2023.e17521.
Google Scholar
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