Driving under the influence of substances and motor vehicle fatalities among older adults in the United States

References

• Adeyemi OJ, Paul R, DiMaggio CJ, Delmelle EM, Arif AA. 2022. An assessment of the non-fatal crash risks associated with substance use during rush and non-rush hour periods in the United States. Drug Alcohol Depend. 234:109386. doi:10.1016/j.drugalcdep.2022.109386.
   PubMed Web of Science ®Google Scholar
• Babulal GM, Vivoda J, Harmon A, Carr DB, Roe CM, Zikmund-Fisher B. 2019. Older adults’ expectations about mortality, driving life and years left without driving. J Gerontol Soc Work. 62(8):912–929. doi:10.1080/01634372.2019.1663460.
   PubMed Web of Science ®Google Scholar
• Berning A, Smither DD. 2014. Understanding the limitations of drug test information, reporting, and testing practices in fatal crashes. Published online:3.
   Google Scholar
• Binette J, Vasold K. 2018. Home and community preferences: a national survey of adults ages 18-plus. AARP. doi:10.26419/res.00231.001
   Google Scholar
• Blow FC, Barry KL. 2012. Alcohol and substance misuse in older adults. Curr Psychiatry Rep. 14(4):310–319. doi:10.1007/s11920-012-0292-9.
   PubMed Web of Science ®Google Scholar
• Bunn T, Singleton M, Chen IC. 2019. Use of multiple data sources to identify specific drugs and other factors associated with drug and alcohol screening of fatally injured motor vehicle drivers. Accid Anal Prev. 122:287–294. doi:10.1016/j.aap.2018.10.012.
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. 2020. Older adult drivers, motor vehicle safety. Published January 13, 2020 [accessed Oct 9]. https://www.cdc.gov/motorvehiclesafety/older_adult_drivers/index.html.
   Google Scholar
• Chihuri S, Li G. 2017. Trends in prescription opioids detected in fatally injured drivers in 6 US states: 1995–2015. Am J Public Health. 107(9):1487–1492. doi:10.2105/AJPH.2017.303902.
   PubMed Web of Science ®Google Scholar
• Chihuri S, Li G. 2019. Use of prescription opioids and initiation of fatal 2-vehicle crashes. JAMA Netw Open. 2(2):e188081. doi:10.1001/jamanetworkopen.2018.8081.
   PubMed Web of Science ®Google Scholar
• Cicchino JB, McCartt AT. 2014. Trends in older driver crash involvement rates and survivability in the United States: an update. Accid Anal Prev. 72:44–54. doi:10.1016/j.aap.2014.06.011.
   PubMed Web of Science ®Google Scholar
• Curry AE, Pfeiffer MR, Elliott MR. 2016. Validation of quasi-induced exposure representativeness assumption among young drivers. Traffic Inj Prev. 17(4):346–351. doi:10.1080/15389588.2015.1091072.
   PubMed Web of Science ®Google Scholar
• Dassanayake T, Michie P, Carter G, Jones A. 2011. Effects of benzodiazepines, antidepressants and opioids on driving: a systematic review and meta-analysis of epidemiological and experimental evidence. Drug Saf. 34(2):125–156. doi:10.2165/11539050-000000000-00000.
   PubMed Web of Science ®Google Scholar
• Faryar KA, Kohlbeck SA, Schreiber SJ. 2018. Shift in drug vs alcohol prevalence in Milwaukee county motor vehicle decedents, 2010-2016. WMJ. 117(1):24–28.
   PubMedGoogle Scholar
• Federal Highway Administration. 2019. Licensed drivers by sex and age group, 1963-2017. Published online 2019.
   Google Scholar
• Ferguson SA 2012. Alcohol-impaired driving in the United States: contributors to the problem and effective countermeasures. Traffic Inj Prev. 13(5):427.
   PubMed Web of Science ®Google Scholar
• Han BH, Palamar JJ. 2020. Trends in Cannabis use among older adults in the United States, 2015-2018. JAMA Intern Med. 180(4):609–611. doi:10.1001/jamainternmed.2019.7517.
   PubMed Web of Science ®Google Scholar
• Hill LL, Andrews H, Li G, DiGuiseppi CG, Betz ME, Strogatz D, Pepa P, Eby DW, Merle D, Kelley-Baker T, et al. 2020. Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study. Inj Epidemiol. 7(1):38. doi:10.1186/s40621-020-00265-y.
   PubMedGoogle Scholar
• Hours M, Fort E, Charnay P, Bernard M, Martin JL, Boisson D, Sancho P-O, Laumon B. 2008. Diseases, consumption of medicines and responsibility for a road crash: a case–control study. Accid Anal Prev. 40(5):1789–1796. doi:10.1016/j.aap.2008.06.017.
   PubMed Web of Science ®Google Scholar
• Jiang X, Lyles RW. 2011. Exposure-based assessment of the effectiveness of Michigan’s graduated driver licensing nighttime driving restriction. Saf Sci. 49(3):484–490. doi:10.1016/j.ssci.2010.11.006.
   Web of Science ®Google Scholar
• Jiang X, Lyles RW, Guo R. 2014. A comprehensive review on the quasi-induced exposure technique. Accid Anal Prev. 65:36–46. doi:10.1016/j.aap.2013.12.008.
   PubMed Web of Science ®Google Scholar
• Li G, Chihuri S. 2019. Prescription opioids, alcohol and fatal motor vehicle crashes: a population-based case-control study. Inj Epidemiol. 6(1):11. doi:10.1186/s40621-019-0187-x.
   PubMedGoogle Scholar
• Lococo KH, Staplin L, Schultz MW. 2018. The effects of medical conditions on driving performance: a literature review and synthesis. Published online 2018:85.
   Google Scholar
• Maasalo I, Lehtonen E, Summala H. 2019. Drivers with child passengers: distracted but cautious? Accid Anal Prev. 131:25–32. doi:10.1016/j.aap.2019.06.004.
   PubMed Web of Science ®Google Scholar
• Mueller K, Hallmark SL, Pawlovich M. 2007. Impact of left-turn phasing on older and younger drivers at high-speed signalized intersections, 2004 [accessed 2022 Apr 8]. http://publications.iowa.gov/21069/.
   Google Scholar
• National Center for Statistics and Analysis. 2019. Alcohol impaired driving: 2018 data (traffic safety facts. report no. DOT HS 812 864). Published 2019 [accessed 2020 October 13]. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812864.
   Google Scholar
• National Center for Statistics and Analysis. 2021. Older Population Fact Sheet. US Department of Transportation. [accessed 2021 Jan 25]. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812684.
   Google Scholar
• Niederdeppe J, Avery R, Miller EN. 2017. Alcohol-control public service announcements (PSAs) and drunk-driving fatal accidents in the United States, 1996–2010. Prev Med. 99:320–325. doi:10.1016/j.ypmed.2017.03.009.
   PubMed Web of Science ®Google Scholar
• Perlman WR. 2019. Drug use and its consequences increase among middle-aged and older adults. National Institute on Drug Abuse. Published July 10, 2019 [accessed 2020 Oct 9]. https://www.drugabuse.gov/news-events/nida-notes/2019/07/drug-use-its-consequences-increase-among-middle-aged-older-adults.
   Google Scholar
• Qin W, Xiang X, Taylor H. 2020. Driving cessation and social isolation in older adults. J Aging Health. 32(9):962–971. doi:10.1177/0898264319870400.
   PubMed Web of Science ®Google Scholar
• Rockett IRH, Putnam SL, Jia H, Smith GS. 2006. Declared and undeclared substance use among emergency department patients: a population-based study. Addiction. 101(5):706–712. doi:10.1111/j.1360-0443.2006.01397.x.
   PubMed Web of Science ®Google Scholar
• Sagar S, Stamatiadis N, Wright S, Green E. 2020. Use of codes data to improve estimates of at-fault risk for elderly drivers. Accid Anal Prev. 144:105637. doi:10.1016/j.aap.2020.105637.
   PubMed Web of Science ®Google Scholar
• SAS Institute Inc. 2018. SAS/STAT® 15.1 User’s Guide. Published online, 128.
   Google Scholar
• Schepis TS, McCabe SE. 2021. The latent class structure of substance use in US adults 50 years and older. Int J Geriatr Psychiatry. 36(12):1867–1877. doi:10.1002/gps.5605.
   PubMed Web of Science ®Google Scholar
• Shen S, Pope CN, Stamatiadis N, Zhu M. 2019. Validation of not-at-fault driver representativeness assumption for quasi-induced exposure using U.S. national traffic databases. J Safety Res. 71:243–249. doi:10.1016/j.jsr.2019.09.024.
   PubMed Web of Science ®Google Scholar
• Stamatiadis N, Deacon JA. 1997. Quasi-induced exposure: methodology and insight. Accid Anal Prev. 29(1):37–52. doi:10.1016/s0001-4575(96)00060-7.
   PubMed Web of Science ®Google Scholar
• Stamatiadis N, Sagar S, Wright S, Cambron A. 2020. Effect of socioeconomic factors on crash occurrence. Kentucky Transportation Center Research Report. Published online May 1 doi:10.13023/ktc.rr.2020.03.
   Google Scholar
• Stelter RL, Kupersmidt JB, Brodar K, Eisensmith S. 2019. The prevention of drugged driving: needs, barriers, and self-efficacy of prevention professionals. J Prim Prev. 40(4):449–461. doi:10.1007/s10935-019-00555-2.
   PubMed Web of Science ®Google Scholar
• Stutts J, Martell C, Staplin L. 2009. Identifying behaviors and situations associated with increased crash risk for older drivers. TransAnalytics LLC ; University of North Carolina at Chapel Hill. Highway Safety Research Center. doi:10.21949/1525666.
   Google Scholar
• Substance Abuse and Mental Health Services Administration. 2019. National survey on drug use and health: detailed tables. Published online 2019:2428.
   Google Scholar
• Talwar A, Hill LL, DiGuiseppi C, Betz ME, Eby DW, Molnar LJ, Kelley-Baker T, Villavicencio L, Andrews HF, Li G, et al. 2020. Patterns of self-reported driving while intoxicated among older adults. J Appl Gerontol. 39(9):944–953. doi:10.1177/0733464819854005.
   PubMed Web of Science ®Google Scholar
• Valen A, Bogstrand ST, Vindenes V, Frost J, Larsson M, Holtan A, Gjerde H. 2019. Driver-related risk factors of fatal road traffic crashes associated with alcohol or drug impairment. Accid Anal Prev. 131:191–199. doi:10.1016/j.aap.2019.06.014.
   PubMed Web of Science ®Google Scholar
• Vespa J, Armstrong DM, Medina L. 2018. Demographic turning points for the United States. The United States Census Bureau. Published [accessed 2020 Oct 9]. https://www.census.gov/library/publications/2020/demo/p25-1144.html.
   Google Scholar
• Zhang G, Fan Y, Jiang X, Fan W, Meng T, Xu M. 2019. Assessing the impacts of signal coordination on the crash risks of various driving cohorts. J Safety Res. 70:79–87. doi:10.1016/j.jsr.2019.05.003.
   PubMed Web of Science ®Google Scholar
• Zhao S, Wang K, Jackson E. 2019. Evaluation of not-at-fault assumption in quasi-induced exposure method using traffic crash data at varied geographical levels. Transport Res Record. 2673(4):593–604. doi:10.1177/0361198119841036.
   Web of Science ®Google Scholar