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.
121 related articles for article (PubMed ID: 28463691)
1. Evaluating public education messages aimed at monitoring and responding to social interactive technology on smartphones among young drivers. Gauld CS; Lewis I; White KM; Fleiter JJ; Watson B Accid Anal Prev; 2017 Jul; 104():24-35. PubMed ID: 28463691 [TBL] [Abstract][Full Text] [Related]
2. Young drivers' engagement with social interactive technology on their smartphone: Critical beliefs to target in public education messages. Gauld CS; Lewis IM; White KM; Watson B Accid Anal Prev; 2016 Nov; 96():208-218. PubMed ID: 27543898 [TBL] [Abstract][Full Text] [Related]
3. Gender differences in the effectiveness of public education messages aimed at smartphone use among young drivers. Gauld CS; Lewis IM; White KM; Watson BC; Rose CT; Fleiter JJ Traffic Inj Prev; 2020; 21(2):127-132. PubMed ID: 32154732 [No Abstract] [Full Text] [Related]
4. Key beliefs influencing young drivers' engagement with social interactive technology on their smartphones: A qualitative study. Gauld CS; Lewis IM; White KM; Watson B Traffic Inj Prev; 2016; 17(2):128-33. PubMed ID: 26528733 [TBL] [Abstract][Full Text] [Related]
5. Insights into targeting young male drivers with anti-speeding advertising: An application of the Step approach to Message Design and Testing (SatMDT). Lewis I; White KM; Ho B; Elliott B; Watson B Accid Anal Prev; 2017 Jun; 103():129-142. PubMed ID: 28431345 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Testing a structural model of young driver willingness to uptake Smartphone Driver Support Systems. Kervick AA; Hogan MJ; O'Hora D; Sarma KM Accid Anal Prev; 2015 Oct; 83():171-81. PubMed ID: 26277411 [TBL] [Abstract][Full Text] [Related]
9. "I Snapchat and Drive!" A mixed methods approach examining snapchat use while driving and deterrent perceptions among young adults. Truelove V; Freeman J; Davey J Accid Anal Prev; 2019 Oct; 131():146-156. PubMed ID: 31255800 [TBL] [Abstract][Full Text] [Related]
10. The effects of anti-speeding advertisements on the simulated driving behaviour of young drivers. Plant BR; Irwin JD; Chekaluk E Accid Anal Prev; 2017 Mar; 100():65-74. PubMed ID: 28119216 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Exploring the utility of a social norm approach in reducing younger drivers' engagement in hand-held phone use while driving: A qualitative study. Nicolls M; Truelove V; Stefanidis KB J Safety Res; 2024 Sep; 90():170-180. PubMed ID: 39251275 [TBL] [Abstract][Full Text] [Related]
13. Young drivers' optimism bias for accident risk and driving skill: Accountability and insight experience manipulations. White MJ; Cunningham LC; Titchener K Accid Anal Prev; 2011 Jul; 43(4):1309-15. PubMed ID: 21545859 [TBL] [Abstract][Full Text] [Related]
14. Revisiting the concept of the 'problem young driver' within the context of the 'young driver problem': who are they? Scott-Parker B; Watson B; King MJ; Hyde MK Accid Anal Prev; 2013 Oct; 59():144-52. PubMed ID: 23792613 [TBL] [Abstract][Full Text] [Related]
15. Speeding by young novice drivers: What can personal characteristics and psychosocial theory add to our understanding? Scott-Parker B; Hyde MK; Watson B; King MJ Accid Anal Prev; 2013 Jan; 50():242-50. PubMed ID: 22608268 [TBL] [Abstract][Full Text] [Related]
16. Do we really need to use our smartphones while driving? Musicant O; Lotan T; Albert G Accid Anal Prev; 2015 Dec; 85():13-21. PubMed ID: 26364139 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Mileage, car ownership, experience of punishment avoidance, and the risky driving of young drivers. Scott-Parker B; Watson B; King MJ; Hyde MK Traffic Inj Prev; 2011 Dec; 12(6):559-67. PubMed ID: 22133331 [TBL] [Abstract][Full Text] [Related]
19. Can anti-speeding messages based on protection motivation theory influence reported speeding intentions? Glendon AI; Walker BL Accid Anal Prev; 2013 Aug; 57():67-79. PubMed ID: 23643708 [TBL] [Abstract][Full Text] [Related]
20. Understanding the psychological precursors of young drivers' willingness to speed and text while driving. Preece C; Watson A; Kaye SA; Fleiter J Accid Anal Prev; 2018 Aug; 117():196-204. PubMed ID: 29709730 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]