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Li K, Camenga DR, Banz BC, Zuniga V, Iannotti RJ, Grayton C, Dziura J, Haynie DL, Simons-Morton BG, Curry L, Vaca FE. Do adolescent trajectories of riding with an impaired driver and driving impaired predict similar behaviors in early adulthood? ACCIDENT; ANALYSIS AND PREVENTION 2023; 193:107304. [PMID: 37729749 PMCID: PMC10591885 DOI: 10.1016/j.aap.2023.107304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 08/15/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND A recent study shows four trajectories of riding with an impaired driver (RWI) and driving while impaired (DWI) from adolescence to emerging adulthood. We examined prospective associations of adolescent RWI/DWI trajectory class with early adulthood RWI/DWI behavior. METHODS Data were from the NEXT Generation Health Study (NEXT), a nationally representative longitudinal study (N = 2783) beginning with a 10th-grade cohort completing 7 annual assessment waves (W1-W7) between 2010 and 2016 and a later follow-up mixed methods study. Four RWI and DWI trajectories derived from a recently published latent class analysis study (RWI (last 12 months); DWI (last 30 days) dichotomized as ≥ once vs. none) were used: Abstainer, Escalator, Decliner, and Persister. In the follow-up examination, a purposive subsample (N = 105, 26.3 ± 0.5 y/o, Female 50.5%) of NEXT participants were selected by trajectory (31 Abstainers, 33 Escalators, 14 Decliners, and 27 Persisters) for in-depth interviews 4 years after NEXT. In interviews, self-reported RWI events (number of times) related to alcohol (Alc-RWI) or marijuana (MJ-RWI) use in the last 12 months, and DWI events (number of times) related to alcohol (Alc-DWI) & marijuana (MJ-DWI) use in January 2020 (pre-COVID pandemic) were collected using structured surveys. General linear models were used to examine associations of adolescents' RWI/DWI trajectories with early adulthood RWI/DWI behavior, controlling for sex, health status, education attainment, and work hours. RESULTS The mean number (SD) of Alc-RWI and MJ-RWI events reported by Escalators (3.83(2.48), 2.43(2.77)) and Persisters (3.83(2.43), 3.57(2.54)) were higher (p≤0.05) than Abstainers (0.82(1.42), 0.77(2.04)) and Decliners (1.81 (2.69), 1.38 (2.04)). Similarly, Escalators (1.61 (2.28), 1.88(2.69)) and Persisters (1.96(2.08), 1.93(2.48)) reported more Alc-DWI and MJ-DWI events than Abstainers (0.18 (0.53), 0.42(1.38)) and Decliners (0.00 (0.00), 0.08(0.28)). Linear regression models indicated membership in Escalator and Persister classes compared to Abstainer class was associated (p≤0.01) with higher engagement in RWI/DWI in early adulthood. CONCLUSION Adolescents with escalating and persistent high RWI/DWI may continue these health risking behaviors into their mid-twenties. Decliners during the transition maintained low RWI/DWI into their mid-twenties. Taken together, these findings suggest that earlier reduction may have long-term effects. Our findings can be used to inform the precision tailoring of prevention efforts aimed at effectively reducing alcohol/drug impairment crash injuries and related deaths among those in early adulthood.
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Venter JC, Adams MD, Myers EW, Li PW, Mural RJ, Sutton GG, Smith HO, Yandell M, Evans CA, Holt RA, Gocayne JD, Amanatides P, Ballew RM, Huson DH, Wortman JR, Zhang Q, Kodira CD, Zheng XH, Chen L, Skupski M, Subramanian G, Thomas PD, Zhang J, Gabor Miklos GL, Nelson C, Broder S, Clark AG, Nadeau J, McKusick VA, Zinder N, Levine AJ, Roberts RJ, Simon M, Slayman C, Hunkapiller M, Bolanos R, Delcher A, Dew I, Fasulo D, Flanigan M, Florea L, Halpern A, Hannenhalli S, Kravitz S, Levy S, Mobarry C, Reinert K, Remington K, Abu-Threideh J, Beasley E, Biddick K, Bonazzi V, Brandon R, Cargill M, Chandramouliswaran I, Charlab R, Chaturvedi K, Deng Z, Di Francesco V, Dunn P, Eilbeck K, Evangelista C, Gabrielian AE, Gan W, Ge W, Gong F, Gu Z, Guan P, Heiman TJ, Higgins ME, Ji RR, Ke Z, Ketchum KA, Lai Z, Lei Y, Li Z, Li J, Liang Y, Lin X, Lu F, Merkulov GV, Milshina N, Moore HM, Naik AK, Narayan VA, Neelam B, Nusskern D, Rusch DB, Salzberg S, Shao W, Shue B, Sun J, Wang Z, Wang A, Wang X, Wang J, Wei M, Wides R, Xiao C, Yan C, Yao A, Ye J, Zhan M, Zhang W, Zhang H, Zhao Q, Zheng L, Zhong F, Zhong W, Zhu S, Zhao S, Gilbert D, Baumhueter S, Spier G, Carter C, Cravchik A, Woodage T, Ali F, An H, Awe A, Baldwin D, Baden H, Barnstead M, Barrow I, Beeson K, Busam D, Carver A, Center A, Cheng ML, Curry L, Danaher S, Davenport L, Desilets R, Dietz S, Dodson K, Doup L, Ferriera S, Garg N, Gluecksmann A, Hart B, Haynes J, Haynes C, Heiner C, Hladun S, Hostin D, Houck J, Howland T, Ibegwam C, Johnson J, Kalush F, Kline L, Koduru S, Love A, Mann F, May D, McCawley S, McIntosh T, McMullen I, Moy M, Moy L, Murphy B, Nelson K, Pfannkoch C, Pratts E, Puri V, Qureshi H, Reardon M, Rodriguez R, Rogers YH, Romblad D, Ruhfel B, Scott R, Sitter C, Smallwood M, Stewart E, Strong R, Suh E, Thomas R, Tint NN, Tse S, Vech C, Wang G, Wetter J, Williams S, Williams M, Windsor S, Winn-Deen E, Wolfe K, Zaveri J, Zaveri K, Abril JF, Guigó R, Campbell MJ, Sjolander KV, Karlak B, Kejariwal A, Mi H, Lazareva B, Hatton T, Narechania A, Diemer K, Muruganujan A, Guo N, Sato S, Bafna V, Istrail S, Lippert R, Schwartz R, Walenz B, Yooseph S, Allen D, Basu A, Baxendale J, Blick L, Caminha M, Carnes-Stine J, Caulk P, Chiang YH, Coyne M, Dahlke C, Deslattes Mays A, Dombroski M, Donnelly M, Ely D, Esparham S, Fosler C, Gire H, Glanowski S, Glasser K, Glodek A, Gorokhov M, Graham K, Gropman B, Harris M, Heil J, Henderson S, Hoover J, Jennings D, Jordan C, Jordan J, Kasha J, Kagan L, Kraft C, Levitsky A, Lewis M, Liu X, Lopez J, Ma D, Majoros W, McDaniel J, Murphy S, Newman M, Nguyen T, Nguyen N, Nodell M, Pan S, Peck J, Peterson M, Rowe W, Sanders R, Scott J, Simpson M, Smith T, Sprague A, Stockwell T, Turner R, Venter E, Wang M, Wen M, Wu D, Wu M, Xia A, Zandieh A, Zhu X. The sequence of the human genome. Science 2001; 291:1304-51. [PMID: 11181995 DOI: 10.1126/science.1058040] [Citation(s) in RCA: 7690] [Impact Index Per Article: 334.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
A 2.91-billion base pair (bp) consensus sequence of the euchromatic portion of the human genome was generated by the whole-genome shotgun sequencing method. The 14.8-billion bp DNA sequence was generated over 9 months from 27,271,853 high-quality sequence reads (5.11-fold coverage of the genome) from both ends of plasmid clones made from the DNA of five individuals. Two assembly strategies-a whole-genome assembly and a regional chromosome assembly-were used, each combining sequence data from Celera and the publicly funded genome effort. The public data were shredded into 550-bp segments to create a 2.9-fold coverage of those genome regions that had been sequenced, without including biases inherent in the cloning and assembly procedure used by the publicly funded group. This brought the effective coverage in the assemblies to eightfold, reducing the number and size of gaps in the final assembly over what would be obtained with 5.11-fold coverage. The two assembly strategies yielded very similar results that largely agree with independent mapping data. The assemblies effectively cover the euchromatic regions of the human chromosomes. More than 90% of the genome is in scaffold assemblies of 100,000 bp or more, and 25% of the genome is in scaffolds of 10 million bp or larger. Analysis of the genome sequence revealed 26,588 protein-encoding transcripts for which there was strong corroborating evidence and an additional approximately 12,000 computationally derived genes with mouse matches or other weak supporting evidence. Although gene-dense clusters are obvious, almost half the genes are dispersed in low G+C sequence separated by large tracts of apparently noncoding sequence. Only 1.1% of the genome is spanned by exons, whereas 24% is in introns, with 75% of the genome being intergenic DNA. Duplications of segmental blocks, ranging in size up to chromosomal lengths, are abundant throughout the genome and reveal a complex evolutionary history. Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems. DNA sequence comparisons between the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nucleotide polymorphisms (SNPs). A random pair of human haploid genomes differed at a rate of 1 bp per 1250 on average, but there was marked heterogeneity in the level of polymorphism across the genome. Less than 1% of all SNPs resulted in variation in proteins, but the task of determining which SNPs have functional consequences remains an open challenge.
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