Hand-held cell phone use while driving legislation and observed driver behavior among population sub-groups in the United States

Background Cell phone use behaviors are known to vary across demographic sub-groups and geographic locations. This study examined whether universal hand-held calling while driving bans were associated with lower road-side observed hand-held cell phone conversations across drivers of different ages (16–24, 25–59, ≥60 years), sexes, races (White, African American, or other), ruralities (suburban, rural, or urban), and regions (Northeast, Midwest, South, and West). Methods Data from the 2008–2013 National Occupant Protection Use Survey were merged with states’ cell phone use while driving legislation. The exposure was presence of a universal hand-held cell phone ban at time of observation. Logistic regression was used to assess the odds of drivers having a hand-held cell phone conversation. Sub-groups differences were assessed using models with interaction terms. Results When universal hand-held cell phone bans were effective, hand-held cell phone conversations were lower across all driver demographic sub-groups and regions. Sub-group differences existed among the sexes (p-value, \u3c0.0001) and regions (p-value, 0.0003). Compared to states without universal hand-held cell phone bans, the adjusted odds ratio (aOR) of a driver hand-held phone conversation was 0.34 [95% confidence interval (CI): 0.28, 0.41] for females versus 0.47 (CI 0.40, 0.55) for males and 0.31 (CI 0.25, 0.38) for drivers in Western states compared to 0.47 (CI 0.30, 0.72) in the Northeast and 0.50 (CI 0.38, 0.66) in the South. Conclusions The presence of universal hand-held cell phone bans were associated lower hand-held cell phone conversations across all driver sub-groups and regions. Hand-held phone conversations were particularly lower among female drivers and those from Western states when these bans were in effect. Public health interventions concerning hand-held cell phone use while driving could reasonably target all drivers

Maternal Characteristics Associated with Injury-related Infant Death in West Virginia, 2010-2014

Although injury-related deaths have been documented among children and adult populations, insufficient attention has been directed towards injury-related infant deaths. The objective of this retrospective study was to investigate maternal and infant characteristics associated with injury-related infant deaths in West Virginia. Birth and infant mortality data for 2010–2014 were sourced from the West Virginia Bureau for Public Health, Charleston. Relative risk was calculated using log-binomial regression utilizing generalized estimating equations. Maternal characteristics associated with injury-related infant mortality in West Virginia were race/ethnicity ( = 7.48, p = .03), and smoking during pregnancy (, p \u3c .00). Risk of a Black Non-Hispanic infant suffering an injury-related death was 4.0 (95% CL 1.7, 9.3) times that of infants of other races/ethnicities. Risk of an infant dying from an injury-related cause, if the mother smoked during pregnancy, was 2.9 (95% CL 1.6, 5.0) times the risk of such a death if maternal smoking status during pregnancy is unknown or no smoking, controlling for race/ethnicity. This study provides important information to public health stakeholders at both the state and local levels in designing interventions for partial reduction or prevention of injury-related infant mortality in West Virginia

Risk Perceptions of Cellphone Use While Driving: Results from a Delphi Survey

Cellphone use while driving has been recognized as a growing and important public health issue by the World Health Organization and U.S. Center for Disease Control and Prevention. Surveys typically collect data on overall texting while driving, but do not differentiate between various forms of cellphone use. This study sought to improve the survey indicators when monitoring cellphone use among young drivers. Experts and young drivers were recruited to propose behavioral indicators (cellphone use while driving behaviors) and consequential indicators (safety consequences of cellphone use while driving) in 2016. Subsequently, experts and young drivers selected the top indicators using the Delphi survey method. We enrolled 22 experts with published articles on cellphone use while driving nationally, and seven young drivers who were freshmen at a state university. Sending a text or e-mail on a handheld phone was picked as the top behavioral indicator by both groups. However, young drivers chose playing music on a handheld phone as the second most important behavioral indicator, which was overlooked by experts. Injury/death and collision were the top two consequential indicators. Experts and young drivers identified the important survey indicators to monitor cellphone use while driving

Campus Corps Therapeutic Mentoring: Making a Difference for Mentors

College student mentors are increasingly mentoring at-risk youth, yet little is known about the benefits that college students derive from their experience mentoring within the context of a service-learning course. This qualitative study used focus groups to examine college students&rsquo; experiences as participants in a unique program, Campus Corps: Therapeutic Mentoring of At-Risk Youth. This course-based, service-learning program utilizes college student mentors to mentor at-risk youth within a family systems framework. In 19 focus groups conducted with 141 college student participants, the student mentors indicated that they experienced significant personal growth and professional development through their participation in the program and that the program positively influenced their civic attitudes and their orientation toward civic engagement. This article provides a review of related research, describes the program, explores the findings of the focus groups, and discusses implications for college service-learning programs.</p

Who Actually Receives Cell Phone Use While Driving Citations and How Much are these Laws Enforced Among States? A Descriptive, Cross-Sectional Study

Objectives: While numerous cell phone use while driving laws have been passed among states, little information exists regarding who gets cited for these traffic infractions and how much these laws are enforced at the state-level within the USA. Design: Cross-sectional, descriptive study. Setting: 14 states and the District of Columbia. Participants: Those receiving cell phone use while driving citations within included states from 2007 to 2013. Primary outcome: Demographic characteristics of cited drivers were assessed. Rates of infractions per 100 000 licensed in-state drivers per year for various cell phone use while driving violations were calculated. Results: Drivers were cited for hand-held use violations (n=2.5 million) more than texting (n=14 682) or young driver all cell phone bans (n=342). Among states that provided data for all traffic violations, cell phone use while driving citations comprised 1% of all written citations. Regardless of ban type, males (68.2%) were cited more frequently than females. Drivers 25–64 years of age (90.8%) were more likely to be cited for hand-held phone use. The average yearly rate of infractions per 100 000 licensed in-state drivers from 2010–2013 was 5.8 for texting bans, 2607 for hand-held bans, and 9954 for any traffic violation. Conclusions: Among cited drivers, age and sex differences existed by the type of ban violated. State-level enforcement appeared sparse. Due to the potential serious consequences of cell phone use while driving in the USA, more enforcement and targeted public safety campaigns are likely needed

Medication use and the risk of motor vehicle collisions among licensed drivers: A systematic review

Objectives—Driving under the influence of prescription and over-the-counter medication is a growing public health concern. A systematic review of the literature was performed to investigate which specific medications were associated with increased risk of motor vehicle collision (MVC). Methods—The a priori inclusion criteria were: 1) studies published from English-language sources on or after January 1, 1960, 2) licensed drivers 15 years of age and older, 3) peer-reviewed publications, master\u27s theses, doctoral dissertations, and conference papers, 4) studies limited to randomized control trials, cohort studies, case-control studies, or case-control type studies 5) outcome measure reported for at least one specific medication, 6) outcome measure reported as the odds or risk of a motor vehicle collision. Fourteen databases were examined along with handsearching. Independent, dual selection of studies and data abstraction was performed. Results—Fifty-three medications were investigated by 27 studies included in the review. Fifteen (28.3%) were associated with an increased risk of MVC. These included Buprenorphine, Codeine, Dihydrocodeine, Methadone, Tramadol, Levocitirizine, Diazepam, Flunitrazepam, Flurazepam, Lorazepam, Temazepam, Triazolam, Carisoprodol, Zolpidem, and Zopiclone. Conclusions—Several medications were associated with an increased risk of MVC and decreased driving ability. The associations between specific medication use and the increased risk of MVC and/or affected driving ability are complex. Future research opportunities are plentiful and worthy of such investigation

Substance use in rural trauma patients admitted for motor vehicle injuries before and during the COVID-19 pandemic

Abstract Background Urban trauma centers reported increased substance use among individuals injured in motor vehicle collisions (MVC) after the start of the COVID-19 pandemic. Little is known about individuals admitted to rural trauma centers during this time. This study’s purpose was to describe substance use trends before and during the pandemic among individuals injured in MVC and treated at a rural Level-1 trauma center in West Virginia. Methods A cross-sectional analysis was performed using patients’ medical records. The study population included individuals ≥ 18 years of age who received treatment for a motor vehicle-related injury between September 1, 2018, and September 30, 2021, and were tested for drugs and alcohol upon admittance. The pre-COVID-19 period was defined as September 1, 2018–March 15, 2020. The COVID-19 period was March 16, 2020–September 30, 2021. The primary dependent variable was the patients’ drug test results. The primary independent variable was the time period. The data were analyzed using Chi-square tests, logistic regression, and proportional odds models. Results During this time, 1465 patients received treatment. On average, patients were 45 years ± 20 of age and male (57%). During COVID-19, 17% of patients tested positive for alcohol and 58% tested positive for non-alcohol drugs. After adjusting for patients’ sex and age, the number of drugs that patients tested positive for was 31% higher during COVID-19 (aOR 1.31; 95% CI 1.08, 1.58). The proportion of patients testing positive for cannabinoids (p = 0.05), opioids (p = 0.001), and stimulants (p = 0.010) increased from pre-COVID-19 to COVID-19 periods. Conclusions Drug and alcohol use increased among trauma patients admitted to a rural trauma center during COVID-19. Significant increases were seen in the number of drugs and for cannabinoids, opioids, and stimulants