Texting while driving is one of the biggest cause of death among young adults from ages 18-24 (Bergmark, E. Gliklich, Guo, R. Gliklich, 2016). This peril activity is related to motor vehicle collisions and mortality (Bergmark, E. Gliklich, Guo, R. Gliklich, 2016). Therefore, this is a very important preventable health issue that needs to be addressed since it affects young adults that have higher rates of texting while driving than older drivers. Below, I propose an intervention in order to spread awareness and knowledge regarding this very concerning public health issue that continues to persist.
Proposed Intervention. Young adults are at a higher risk of dying due to texting while driving a vehicle. It is important to implement changes
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I used O’Carroll and colleagues (2011) experiment 1 as a guide for my design. The population that I focused on are participants ages 18-24. There were three different groups of participants. One group was recruited through educational flyers throughout the city. The other two groups were recruited through a software program. All three groups took the survey at least once and had driven 30 days prior. Group one however took a retest 14 days after to retest reliability. Participants are then assigned to the intervention and control groups for the purpose of this study based on a pre-testing. The independent variable in this study are participants who frequently engages in texting while driving. The control group in this study are the ones that do not text while driving, or at least do it on on rare occasions. This will help us measure how persistent these high risk activities occurs on the 30 days’ trial. Some of the survey questions that I will pose are: 1. How many times a day do you text while driving? 2. How often do you check your phone while texting and driving? 3. How important it is for you to see who is texting you in the instances of when you are driving? (based on a 0-44 scale. 44 being the highest score)
Expected Results. Based on the Distracted Driving survey among ages of 18-24 have shown constancy and correlation of crash rates on a 12-month period. The score was based on 0-44 scale, 44 as the behavior with the highest risk. For the DDS, every one unit