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 *

129 related articles for article (PubMed ID: 37247562)

  • 1. Key factors associated with parents' illegal engagement with their smartphones while driving their children.
    Koppel S; Kaviani F; Peiris S; McDonald H; Zonfrillo MR
    Accid Anal Prev; 2023 Sep; 189():107120. PubMed ID: 37247562
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Factors Associated with Cell Phone Use While Driving: A Survey of Parents and Caregivers of Children Ages 4-10 Years.
    McDonald CC; Kennedy E; Fleisher L; Zonfrillo MR
    J Pediatr; 2018 Oct; 201():208-214. PubMed ID: 30017337
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deterring illegal smartphone use while driving: Are perceptions of risk information associated with the impact of informal sanctions?
    Kaviani F; Young KL; Koppel S
    Accid Anal Prev; 2022 Apr; 168():106611. PubMed ID: 35183918
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Driver distraction by smartphone use (WhatsApp) in different age groups.
    Ortiz C; Ortiz-Peregrina S; Castro JJ; Casares-López M; Salas C
    Accid Anal Prev; 2018 Aug; 117():239-249. PubMed ID: 29723735
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Is distraction on the road associated with maladaptive mobile phone use? A systematic review.
    Rahmillah FI; Tariq A; King M; Oviedo-Trespalacios O
    Accid Anal Prev; 2023 Mar; 181():106900. PubMed ID: 36580764
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers.
    Oviedo-Trespalacios O; Haque MM; King M; Washington S
    Accid Anal Prev; 2017 Apr; 101():67-77. PubMed ID: 28189943
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Self-reported handheld device use while driving.
    Kim K; Ghimire J; Pant P; Yamashita E
    Accid Anal Prev; 2019 Apr; 125():106-115. PubMed ID: 30738294
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prevalence of distracted driving by driver characteristics in the United States.
    Cox AE; Cicchino JB; Reagan IJ; Zuby DS
    J Safety Res; 2023 Sep; 86():346-356. PubMed ID: 37718062
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mobile phone involvement, beliefs, and texting while driving in Ukraine.
    Hill T; Sullman MJM; Stephens AN
    Accid Anal Prev; 2019 Apr; 125():124-131. PubMed ID: 30743175
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach.
    Oviedo-Trespalacios O; Haque MM; King M; Demmel S
    Accid Anal Prev; 2018 Sep; 118():253-262. PubMed ID: 29653674
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mobile phone applications use while driving in Ukraine: Self-reported frequencies and psychosocial factors underpinning this risky behaviour.
    Hill T; Stephens AN; Sullman MJM
    PLoS One; 2021; 16(2):e0247006. PubMed ID: 33596267
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modelling braking behaviour of distracted young drivers in car-following interactions: A grouped random parameters duration model with heterogeneity-in-means.
    Ali Y; Haque MM
    Accid Anal Prev; 2023 Jun; 185():107015. PubMed ID: 36889237
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review.
    Papatheocharous E; Kaiser C; Moser J; Stocker A
    Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687961
    [TBL] [Abstract][Full Text] [Related]  

  • 14. "It is frustrating to not have control even though I know it's not legal!": A mixed-methods investigation on applications to prevent mobile phone use while driving.
    Oviedo-Trespalacios O; Truelove V; King M
    Accid Anal Prev; 2020 Mar; 137():105412. PubMed ID: 32006729
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Visual and cognitive demands of manual and voice-based driving mode implementations on smartphones.
    Monk C; Sall R; Lester BD; Stephen Higgins J
    Accid Anal Prev; 2023 Jul; 187():107033. PubMed ID: 37099998
    [TBL] [Abstract][Full Text] [Related]  

  • 16. What drives technology-based distractions? A structural equation model on social-psychological factors of technology-based driver distraction engagement.
    Chen HY; Donmez B
    Accid Anal Prev; 2016 Jun; 91():166-74. PubMed ID: 26994371
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Attitudes on technological, social, and behavioral economic strategies to reduce cellphone use among teens while driving.
    Delgado MK; McDonald CC; Winston FK; Halpern SD; Buttenheim AM; Setubal C; Huang Y; Saulsgiver KA; Lee YC
    Traffic Inj Prev; 2018; 19(6):569-576. PubMed ID: 29652523
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cell phone-related driver distraction: Habits predict behavior over and above the theory of planned behavior variables.
    Demir B; Du J; Hansma BJ; Chen HW; Gu H; Donmez B
    Accid Anal Prev; 2023 Nov; 192():107200. PubMed ID: 37531854
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning.
    Ziakopoulos A; Kontaxi A; Yannis G
    Accid Anal Prev; 2023 Mar; 181():106936. PubMed ID: 36577243
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Smartwatches are more distracting than mobile phones while driving: Results from an experimental study.
    Brodeur M; Ruer P; Léger PM; Sénécal S
    Accid Anal Prev; 2021 Jan; 149():105846. PubMed ID: 33181456
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.