These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 33928485)

  • 21. Sleep and new media usage in toddlers.
    Chindamo S; Buja A; DeBattisti E; Terraneo A; Marini E; Gomez Perez LJ; Marconi L; Baldo V; Chiamenti G; Doria M; Ceschin F; Malorgio E; Tommasi M; Sperotto M; Buzzetti R; Gallimberti L
    Eur J Pediatr; 2019 Apr; 178(4):483-490. PubMed ID: 30652219
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Validation of Self-Reported Smartphone Usage Against Objectively-Measured Smartphone Usage in Hong Kong Chinese Adolescents and Young Adults.
    Lee PH; Tse ACY; Wu CST; Mak YW; Lee U
    Psychiatry Investig; 2021 Feb; 18(2):95-100. PubMed ID: 33517618
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identifying children's nocturnal sleep using 24-h waist accelerometry.
    Barreira TV; Schuna JM; Mire EF; Katzmarzyk PT; Chaput JP; Leduc G; Tudor-Locke C
    Med Sci Sports Exerc; 2015 May; 47(5):937-43. PubMed ID: 25202840
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Correlates of nocturnal sleep duration, nocturnal sleep variability, and nocturnal sleep problems in toddlers: results from the GET UP! Study.
    Zhang Z; Sousa-Sá E; Pereira J; Chaput JP; Okely A; Feng X; Santos R
    Sleep Med; 2019 Jan; 53():124-132. PubMed ID: 30508780
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The effect of smartphone usage at bedtime on sleep quality among Saudi non- medical staff at King Saud University Medical City.
    Alshobaili FA; AlYousefi NA
    J Family Med Prim Care; 2019 Jun; 8(6):1953-1957. PubMed ID: 31334161
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Sleep, anxiety and electronic device use by athletes in the training and competition environments.
    Romyn G; Robey E; Dimmock JA; Halson SL; Peeling P
    Eur J Sport Sci; 2016; 16(3):301-8. PubMed ID: 25790844
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Comparison of a Commercial Accelerometer with Polysomnography and Actigraphy in Children and Adolescents.
    Meltzer LJ; Hiruma LS; Avis K; Montgomery-Downs H; Valentin J
    Sleep; 2015 Aug; 38(8):1323-30. PubMed ID: 26118555
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Bedtime mobile phone use and sleep in adults.
    Exelmans L; Van den Bulck J
    Soc Sci Med; 2016 Jan; 148():93-101. PubMed ID: 26688552
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Children's Sleep Habits Questionnaire in Two Subpopulations from Cape Verde and Mozambique: Exploratory and Regression Analysis.
    Carneiro IM; Fonseca P; Ferreira R
    Acta Med Port; 2019 Oct; 32(10):628-634. PubMed ID: 31625874
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A comparative study on eating habits and mental health of Korean middle school students according to their bedtime across regions: using data from the 2020-2022 Korea Youth Risk Behavior Survey.
    Kim S; Jeong J; Kang J; Kim J; Yang YJ
    Nutr Res Pract; 2024 Apr; 18(2):269-281. PubMed ID: 38584809
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Can an automated sleep detection algorithm for waist-worn accelerometry replace sleep logs?
    Barreira TV; Redmond JG; Brutsaert TD; Schuna JM; Mire EF; Katzmarzyk PT; Tudor-Locke C
    Appl Physiol Nutr Metab; 2018 Oct; 43(10):1027-1032. PubMed ID: 29701486
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Smart device usage in early childhood is differentially associated with fine motor and language development.
    Moon JH; Cho SY; Lim SM; Roh JH; Koh MS; Kim YJ; Nam E
    Acta Paediatr; 2019 May; 108(5):903-910. PubMed ID: 30372561
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Sleep-related difficulties in healthy children and adolescents.
    Lewien C; Genuneit J; Meigen C; Kiess W; Poulain T
    BMC Pediatr; 2021 Feb; 21(1):82. PubMed ID: 33593333
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Roles of parental sleep/wake patterns, socioeconomic status, and daytime activities in the sleep/wake patterns of children.
    Zhang J; Li AM; Fok TF; Wing YK
    J Pediatr; 2010 Apr; 156(4):606-12.e5. PubMed ID: 20022339
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Feeding and oral hygiene habits of preschool children in Hong Kong and their caregivers' dental knowledge and attitudes.
    Chan SC; Tsai JS; King NM
    Int J Paediatr Dent; 2002 Sep; 12(5):322-31. PubMed ID: 12199891
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Associations of Electronic Device Use Before and After Sleep With Psychological Distress Among Chinese Adults in Hong Kong: Cross-Sectional Study.
    Lee JJ; Wang MP; Luk TT; Guo N; Chan SS; Lam TH
    JMIR Ment Health; 2020 Jun; 7(6):e15403. PubMed ID: 32525489
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Bedtime and its correlates among secondary school children in Karachi, Pakistan.
    Nusrat M; Khan A; Hamid S; Hussain AA; Kadir MM
    J Pak Med Assoc; 2012 Nov; 62(11):1168-73. PubMed ID: 23866404
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Epidemiology of objectively measured bedtime and chronotype in US adolescents and adults: NHANES 2003-2006.
    Urbanek JK; Spira AP; Di J; Leroux A; Crainiceanu C; Zipunnikov V
    Chronobiol Int; 2018 Mar; 35(3):416-434. PubMed ID: 29283283
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The role of objectively recorded smartphone usage and personality traits in sleep quality.
    Alam A; Alshakhsi S; Al-Thani D; Ali R
    PeerJ Comput Sci; 2023; 9():e1261. PubMed ID: 37346703
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Links Between Objectively-Measured Hourly Smartphone Use and Adolescent Wake Events Across Two Weeks.
    Garrett SL; Burnell K; Armstrong-Carter EL; Nelson BW; Prinstein MJ; Telzer EH
    J Clin Child Adolesc Psychol; 2023 Dec; ():1-11. PubMed ID: 38039087
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.