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 *

339 related articles for article (PubMed ID: 33556262)

  • 1. Driving under the influence of drugs or alcohol: Predicting the intentions of young drivers.
    Vankov D; Schroeter R
    Traffic Inj Prev; 2021; 22(2):97-101. PubMed ID: 33556262
    [No Abstract]   [Full Text] [Related]  

  • 2. Concealing their communication: exploring psychosocial predictors of young drivers' intentions and engagement in concealed texting.
    Gauld CS; Lewis I; White KM
    Accid Anal Prev; 2014 Jan; 62():285-93. PubMed ID: 24211560
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting the monitoring/reading of communications on a smartphone among young drivers using an extended theory of planned behaviour.
    Murphy G; Gauld C; Lewis I
    Accid Anal Prev; 2020 Mar; 136():105403. PubMed ID: 31855711
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of drink-driving behavior: Considering the subjective and objective factors of drivers.
    Jie-Ling J; Yuan-Chang D
    Traffic Inj Prev; 2021; 22(3):183-188. PubMed ID: 33709857
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Chinese drivers' intentions to park illegally in emergency lanes: An application of the theory of planned behavior.
    Zheng Y; Ma Y; Guo L; Cheng J; Zhang Y
    Traffic Inj Prev; 2018; 19(6):629-636. PubMed ID: 29927622
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting Australian adults' sun-safe behaviour: examining the role of personal and social norms.
    White KM; Starfelt LC; Young RM; Hawkes AL; Leske S; Hamilton K
    Br J Health Psychol; 2015 May; 20(2):396-412. PubMed ID: 24917299
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Smartphone use among young drivers: Applying an extended Theory of Planned Behaviour to predict young drivers' intention and engagement in concealed responding.
    Eren H; Gauld C
    Accid Anal Prev; 2022 Jan; 164():106474. PubMed ID: 34781172
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Factors associated with driving under the influence of alcohol.
    Smailović E; Lipovac K; Pešić D; Antić B
    Traffic Inj Prev; 2019; 20(4):343-347. PubMed ID: 31112403
    [No Abstract]   [Full Text] [Related]  

  • 9. Correlates of Marijuana Drugged Driving and Openness to Driving While High: Evidence from Colorado and Washington.
    Davis KC; Allen J; Duke J; Nonnemaker J; Bradfield B; Farrelly MC; Shafer P; Novak S
    PLoS One; 2016; 11(1):e0146853. PubMed ID: 26800209
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sex differences in the association between impulsivity and driving under the influence of alcohol in young adults: The specific role of sensation seeking.
    Navas JF; Martín-Pérez C; Petrova D; Verdejo-García A; Cano M; Sagripanti-Mazuquín O; Perandrés-Gómez A; López-Martín Á; Cordovilla-Guardia S; Megías A; Perales JC; Vilar-López R
    Accid Anal Prev; 2019 Mar; 124():174-179. PubMed ID: 30660833
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An extension of the theory of planned behavior to predict pedestrians' violating crossing behavior using structural equation modeling.
    Zhou H; Romero SB; Qin X
    Accid Anal Prev; 2016 Oct; 95(Pt B):417-424. PubMed ID: 26433568
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modeling head-on crash severity with drivers under the influence of alcohol or drugs (DUI) and non-DUI.
    Liu P; Fan WD
    Traffic Inj Prev; 2020; 21(1):7-12. PubMed ID: 31846587
    [No Abstract]   [Full Text] [Related]  

  • 13. Young driver risky behaviour and predictors of crash risk in Australia, New Zealand and Colombia: Same but different?
    Scott-Parker B; Oviedo-Trespalacios O
    Accid Anal Prev; 2017 Feb; 99(Pt A):30-38. PubMed ID: 27865138
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mobile phone use intention while driving among public service vehicle drivers: Magnitude and its social and cognitive determinants.
    Eijigu TD
    PLoS One; 2021; 16(4):e0251007. PubMed ID: 33930092
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of the theory of planned behaviour to the prediction of objectively assessed breaking of posted speed limits.
    Conner M; Lawton R; Parker D; Chorlton K; Manstead AS; Stradling S
    Br J Psychol; 2007 Aug; 98(Pt 3):429-53. PubMed ID: 17705940
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Driving under the influence of alcohol: frequency, reasons, perceived risk and punishment.
    Alonso F; Pastor JC; Montoro L; Esteban C
    Subst Abuse Treat Prev Policy; 2015 Mar; 10():11. PubMed ID: 25880078
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Texting while driving: psychosocial influences on young people's texting intentions and behaviour.
    Nemme HE; White KM
    Accid Anal Prev; 2010 Jul; 42(4):1257-65. PubMed ID: 20441840
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Acceptance of drinking and driving and alcohol-involved driving crashes in California.
    MacLeod KE; Karriker-Jaffe KJ; Ragland DR; Satariano WA; Kelley-Baker T; Lacey JH
    Accid Anal Prev; 2015 Aug; 81():134-42. PubMed ID: 25980918
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying beliefs underlying pre-drivers' intentions to take risks: An application of the Theory of Planned Behaviour.
    Rowe R; Andrews E; Harris PR; Armitage CJ; McKenna FP; Norman P
    Accid Anal Prev; 2016 Apr; 89():49-56. PubMed ID: 26803598
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis.
    Shukri M; Jones F; Conner M
    Accid Anal Prev; 2022 May; 169():106624. PubMed ID: 35272222
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.