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 *

117 related articles for article (PubMed ID: 38632947)

  • 1. The effects of role stressors and smartphone interactions on delivery riders' unsafe behaviors during the delivery process in China.
    Cai M; Wang X; Liu L; Luo X
    Int J Occup Saf Ergon; 2024 Apr; ():1-13. PubMed ID: 38632947
    [No Abstract]   [Full Text] [Related]  

  • 2. Investigating the Effects of Job Stress on the Distraction and Risky Driving Behaviors of Food Delivery Motorcycle Riders.
    Chen CF
    Saf Health Work; 2023 Jun; 14(2):207-214. PubMed ID: 37389315
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unsafe riding behaviors of shared-bicycle riders in urban China: A retrospective survey.
    Wu X; Xiao W; Deng C; Schwebel DC; Hu G
    Accid Anal Prev; 2019 Oct; 131():1-7. PubMed ID: 31228635
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Influence of familiarity with traffic regulations on delivery riders' e-bike crashes and helmet use: Two mediator ordered logit models.
    Wang X; Chen J; Quddus M; Zhou W; Shen M
    Accid Anal Prev; 2021 Sep; 159():106277. PubMed ID: 34246876
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Risky Riding and Its Correlates in Two-Wheeler Riding Young Men: Pillion Riders' Perspective.
    Kumar R; Mehrotra S; Michael RJ; Banu H; Sudhir PM; Sharma MK
    Indian J Community Med; 2020; 45(3):328-332. PubMed ID: 33354013
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Study on Instant Delivery Service Riders' Safety and Health by the Effects of Labour Intensity in China: A Mediation Analysis.
    Chen T; Tian D; Deng P; Zhou E; Huang J
    Front Public Health; 2022; 10():907474. PubMed ID: 35812478
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Analyzing E-Bikers' Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model.
    Wang T; Xie S; Ye X; Yan X; Chen J; Li W
    Int J Environ Res Public Health; 2020 Jul; 17(13):. PubMed ID: 32630709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of factors influencing delivery e-bikes' red-light running behavior: A correlated mixed binary logit approach.
    Zhang F; Ji Y; Lv H; Ma X
    Accid Anal Prev; 2021 Mar; 152():105977. PubMed ID: 33561607
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Riders' prediction of results at Fédération Equestre Internationale (FEI) endurance rides and sources of bias in questionnaires completed by riders.
    Nagy A; Dyson SJ; Murray JK
    Prev Vet Med; 2013 Nov; 112(3-4):378-86. PubMed ID: 24012242
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The hidden cost of your 'too fast food': stress-related factors and fatigue predict food delivery riders' occupational crashes.
    Useche SA; Robayo S; Orozco-Fontalvo M
    Int J Occup Saf Ergon; 2024 Jun; ():1-10. PubMed ID: 38853658
    [No Abstract]   [Full Text] [Related]  

  • 11. The application and extension of the theory of planned behavior to an analysis of delivery riders' red-light running behavior in China.
    Shen X; Zhang F; Lv H; Wei S; Sun Z
    Accid Anal Prev; 2020 Sep; 144():105640. PubMed ID: 32599312
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data on unsafe riding behaviors among 1960 shared bicycle riders in urban China.
    Wu X; Xiao W; Deng C; Schwebel DC; Hu G
    Data Brief; 2019 Aug; 25():104329. PubMed ID: 31453300
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluating alternate discrete outcome frameworks for modeling riders' red light running behavior.
    Su X; Yang X; Gao Z; Song D
    Accid Anal Prev; 2023 Oct; 191():107232. PubMed ID: 37506407
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Working safety and workloads of Chinese delivery riders: the role of work pressure.
    Zheng Q; Zhan J; Feng X
    Int J Occup Saf Ergon; 2023 Jun; 29(2):869-882. PubMed ID: 35659214
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Public transit use in the United States in the era of COVID-19: Transit riders' travel behavior in the COVID-19 impact and recovery period.
    Parker MEG; Li M; Bouzaghrane MA; Obeid H; Hayes D; Frick KT; Rodríguez DA; Sengupta R; Walker J; Chatman DG
    Transp Policy (Oxf); 2021 Sep; 111():53-62. PubMed ID: 36568351
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Influencing factors of observed speed and rule compliance of speed-pedelec riders in high volume cycling areas: Implications for safety and legislation.
    Stelling A; Vlakveld W; Twisk D
    Accid Anal Prev; 2021 Sep; 159():106239. PubMed ID: 34130058
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analysis of risk-taking behaviors of electric bicycle riders in response to pedestrian countdown signal devices.
    Yu R; Zhao H; Zhang C; Wang Z
    Traffic Inj Prev; 2019; 20(2):182-188. PubMed ID: 30888872
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unsafe Bicycling Behavior in Changsha, China: A Video-Based Observational Study.
    Gao Y; Schwebel DC; Zhang L; Xiao W; Hu G
    Int J Environ Res Public Health; 2020 May; 17(9):. PubMed ID: 32392761
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Secondary task engagement, risk-taking, and safety-related equipment use in German bicycle and e-scooter riders - An observation.
    Huemer AK; Banach E; Bolten N; Helweg S; Koch A; Martin T
    Accid Anal Prev; 2022 Jul; 172():106685. PubMed ID: 35490473
    [TBL] [Abstract][Full Text] [Related]  

  • 20. What does a motorcyclist look at while driving at urban arterials?
    Nathanael D; Portouli E; Gkikas K; Papakostopoulos V
    Work; 2012; 41 Suppl 1():4900-6. PubMed ID: 22317477
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.