Institute for Social Research , University of Michigan, Ann Arbor, Michigan.
Health and Human Development , The Pennsylvania State University, State College, Pennsylvania.
Alcohol Clin Exp Res. 2019 Feb;43(2):287-298. doi: 10.1111/acer.13933. Epub 2019 Jan 15.
This study examined the extent to which the developmental pattern of prevalence of binge drinking in the past 2 weeks from ages 18 through 30 has changed across 29 cohorts of U.S. young adults, and whether the changes differed by gender.
Analyses used national longitudinal data from 58,019 12th-grade students (from graduating high school classes 1976 to 2004) participating in the Monitoring the Future study followed through modal age 30 (with age 29/30 data collected from 1987 to 2016). Weighted time-varying effect modeling was used to model cohort group differences in age-related patterns of binge drinking.
The age of peak binge drinking prevalence increased across cohorts (from age 20 in 1976 to 1985 to 22 in 1996 to 2004 for women, and from 21 in 1976 to 1985 to 23 in 1996 to 2004 for men). Historical change in the developmental pattern of binge drinking across all ages of young adulthood differed for men and women. Even after controlling for key covariates, women in the more recent cohort group reported significantly higher binge drinking prevalence than women in earlier cohorts from ages 21 through 30. Men in the more recent cohort group reported higher binge drinking prevalence at ages 25 to 26, but prevalence levels then converged to those seen in earlier cohort groups by age 30.
An older age of peak binge drinking and a decreased rate of decline in the prevalence of binge drinking in later young adulthood among more recent cohorts have resulted in an extension of individual and societal risks associated with binge drinking, particularly for women, across young adulthood. High-risk alcohol use prevention efforts are needed throughout at least the third decade of life.
本研究考察了从 18 岁到 30 岁期间过去 2 周内暴饮的流行率在 29 组美国青年成年人中随时间的变化程度，以及这种变化是否因性别而异。
分析使用了来自参加“监测未来”研究的 58019 名 12 年级学生（来自 1976 年至 2004 年高中毕业班）的全国纵向数据，这些学生在模态年龄 30 岁（1987 年至 2016 年收集了 29/30 岁的数据）时进行了随访。加权时变效应模型用于对与年龄相关的暴饮流行模式的队列组差异进行建模。
暴饮流行率的峰值年龄随队列而增加（女性从 1976 年至 1985 年的 20 岁增加到 1996 年至 2004 年的 22 岁，男性从 1976 年至 1985 年的 21 岁增加到 1996 年至 2004 年的 23 岁）。整个青年成年期暴饮发展模式的历史变化在男性和女性之间存在差异。即使控制了关键协变量，最近队列组的女性报告的暴饮流行率也明显高于早期队列组的女性，从 21 岁到 30 岁。最近队列组的男性在 25 至 26 岁时报告的暴饮流行率较高，但到 30 岁时，流行率水平与早期队列组趋同。
在最近的队列中，暴饮的峰值年龄更大，在晚青年成年期暴饮流行率的下降速度更慢，这导致与暴饮相关的个体和社会风险延长，特别是对女性而言。至少在第三十个年头，需要进行高风险酒精使用预防工作。
