Qingyu Zhao , Magdalini Paschali , Joseph Dehoney , Fiona C. Baker , Massimiliano de Zambotti , Michael D. De Bellis , David B. Goldston , Kate B. Nooner , Duncan B. Clark , Beatriz Luna , Bonnie J. Nagel , Sandra A. Brown , Susan F. Tapert , Sonja Eberson , Wesley K. Thompson , Adolf Pfefferbaum , Edith V. Sullivan , Kilian M. Pohl
{"title":"确定高中阶段的风险因素,这些因素可预测未接受充分研究的青少年开始酗酒。","authors":"Qingyu Zhao , Magdalini Paschali , Joseph Dehoney , Fiona C. Baker , Massimiliano de Zambotti , Michael D. De Bellis , David B. Goldston , Kate B. Nooner , Duncan B. Clark , Beatriz Luna , Bonnie J. Nagel , Sandra A. Brown , Susan F. Tapert , Sonja Eberson , Wesley K. Thompson , Adolf Pfefferbaum , Edith V. Sullivan , Kilian M. Pohl","doi":"10.1016/j.dcn.2024.101413","DOIUrl":null,"url":null,"abstract":"<div><p>Heavy alcohol drinking is a major, preventable problem that adversely impacts the physical and mental health of US young adults. Studies seeking drinking risk factors typically focus on young adults who enrolled in 4-year residential college programs (4YCP) even though most high school graduates join the workforce, military, or community colleges. We examined 106 of these understudied young adults (USYA) and 453 4YCPs from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) by longitudinally following their drinking patterns for 8 years from adolescence to young adulthood. All participants were no-to-low drinkers during high school. Whereas 4YCP individuals were more likely to initiate heavy drinking during college years, USYA participants did so later. Using mental health metrics recorded during high school, machine learning forecasted individual-level risk for initiating heavy drinking after leaving high school. The risk factors differed between demographically matched USYA and 4YCP individuals and between sexes. Predictors for USYA drinkers were sexual abuse, physical abuse for girls, and extraversion for boys, whereas 4YCP drinkers were predicted by the ability to recognize facial emotion and, for boys, greater openness. Thus, alcohol prevention programs need to give special consideration to those joining the workforce, military, or community colleges, who make up the majority of this age group.</p></div>","PeriodicalId":49083,"journal":{"name":"Developmental Cognitive Neuroscience","volume":"68 ","pages":"Article 101413"},"PeriodicalIF":4.6000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1878929324000744/pdfft?md5=bb24df5ff2de0015bc20f775054bf517&pid=1-s2.0-S1878929324000744-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Identifying high school risk factors that forecast heavy drinking onset in understudied young adults\",\"authors\":\"Qingyu Zhao , Magdalini Paschali , Joseph Dehoney , Fiona C. Baker , Massimiliano de Zambotti , Michael D. De Bellis , David B. Goldston , Kate B. Nooner , Duncan B. Clark , Beatriz Luna , Bonnie J. Nagel , Sandra A. Brown , Susan F. Tapert , Sonja Eberson , Wesley K. Thompson , Adolf Pfefferbaum , Edith V. Sullivan , Kilian M. Pohl\",\"doi\":\"10.1016/j.dcn.2024.101413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Heavy alcohol drinking is a major, preventable problem that adversely impacts the physical and mental health of US young adults. Studies seeking drinking risk factors typically focus on young adults who enrolled in 4-year residential college programs (4YCP) even though most high school graduates join the workforce, military, or community colleges. We examined 106 of these understudied young adults (USYA) and 453 4YCPs from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) by longitudinally following their drinking patterns for 8 years from adolescence to young adulthood. All participants were no-to-low drinkers during high school. Whereas 4YCP individuals were more likely to initiate heavy drinking during college years, USYA participants did so later. Using mental health metrics recorded during high school, machine learning forecasted individual-level risk for initiating heavy drinking after leaving high school. The risk factors differed between demographically matched USYA and 4YCP individuals and between sexes. Predictors for USYA drinkers were sexual abuse, physical abuse for girls, and extraversion for boys, whereas 4YCP drinkers were predicted by the ability to recognize facial emotion and, for boys, greater openness. Thus, alcohol prevention programs need to give special consideration to those joining the workforce, military, or community colleges, who make up the majority of this age group.</p></div>\",\"PeriodicalId\":49083,\"journal\":{\"name\":\"Developmental Cognitive Neuroscience\",\"volume\":\"68 \",\"pages\":\"Article 101413\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1878929324000744/pdfft?md5=bb24df5ff2de0015bc20f775054bf517&pid=1-s2.0-S1878929324000744-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Developmental Cognitive Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1878929324000744\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Developmental Cognitive Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878929324000744","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Identifying high school risk factors that forecast heavy drinking onset in understudied young adults
Heavy alcohol drinking is a major, preventable problem that adversely impacts the physical and mental health of US young adults. Studies seeking drinking risk factors typically focus on young adults who enrolled in 4-year residential college programs (4YCP) even though most high school graduates join the workforce, military, or community colleges. We examined 106 of these understudied young adults (USYA) and 453 4YCPs from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) by longitudinally following their drinking patterns for 8 years from adolescence to young adulthood. All participants were no-to-low drinkers during high school. Whereas 4YCP individuals were more likely to initiate heavy drinking during college years, USYA participants did so later. Using mental health metrics recorded during high school, machine learning forecasted individual-level risk for initiating heavy drinking after leaving high school. The risk factors differed between demographically matched USYA and 4YCP individuals and between sexes. Predictors for USYA drinkers were sexual abuse, physical abuse for girls, and extraversion for boys, whereas 4YCP drinkers were predicted by the ability to recognize facial emotion and, for boys, greater openness. Thus, alcohol prevention programs need to give special consideration to those joining the workforce, military, or community colleges, who make up the majority of this age group.
期刊介绍:
The journal publishes theoretical and research papers on cognitive brain development, from infancy through childhood and adolescence and into adulthood. It covers neurocognitive development and neurocognitive processing in both typical and atypical development, including social and affective aspects. Appropriate methodologies for the journal include, but are not limited to, functional neuroimaging (fMRI and MEG), electrophysiology (EEG and ERP), NIRS and transcranial magnetic stimulation, as well as other basic neuroscience approaches using cellular and animal models that directly address cognitive brain development, patient studies, case studies, post-mortem studies and pharmacological studies.