University of California, San Diego, La Jolla, 92037, USA.
Drug Alcohol Depend. 2011 Jan 1;113(1):21-8. doi: 10.1016/j.drugalcdep.2010.06.017. Epub 2010 Aug 19.
Patterns of drinking and alcohol problems change with age. However, few studies use multiple data points and detailed history spanning early adulthood to middle age. This study reports such data from 373 men in the San Diego Prospective Study.
Data were generated at baseline (T1) at ∼age 20, and through face-to-face followup interviews ∼every 5 years in >90% of these eligible Caucasian and relatively higher educated men. Subjects were placed into 4 groups regarding their course: 62.5% with no alcohol use disorder (AUD); 17.2% with AUD onset <age 30 and a chronic course; 6.7% with onset ≥age 30 and no recovery; and 13.7% with AUD onset <age 30 and maintained remission for >5 years before the 25-year followup.
On a univariate level, low level of response (LR) to alcohol, family history of AUDs, and higher Novelty Seeking at ∼age 20 predicted AUDs with onset before age 30 (mean age∼25), but among these only LR predicted later onset (mean age 38) as well. Additional predictors of AUDs included demography (lower education), and greater involvement with alcohol, drugs, and nicotine prior to T1. Sustained remission from AUDs among alcoholics was predicted by lower T1 and T10 drinking frequencies, and being separated or divorced at T10, along with a trend for higher Reward Dependence.
These data indicate that information available in ages of the late teens to early twenties can help predict the future onset and course of AUDs, and underscore the importance of longitudinal studies in substance use disorders.
饮酒模式和酒精问题随着年龄的变化而变化。然而,很少有研究使用多个数据点和详细的成年早期到中年的历史数据。本研究报告了来自圣地亚哥前瞻性研究的 373 名男性的数据。
数据是在基线(T1)时收集的,当时参与者的年龄约为 20 岁,并且通过面对面的随访访谈,在 90%以上符合条件的白人和相对受过较高教育的男性中,每 5 年进行一次。根据他们的病程,将参与者分为 4 组:62.5%没有酒精使用障碍(AUD);17.2% AUD 发病年龄<30 岁且呈慢性病程;6.7%发病年龄≥30 岁且无康复;13.7%AUD 发病年龄<30 岁且在 25 年随访前>5 年保持缓解。
在单变量水平上,低酒精反应(LR)、AUD 家族史和 20 岁左右的较高新奇寻求预测了 AUD 的发病年龄<30 岁(平均年龄约为 25 岁),但在这些因素中,只有 LR 预测了较晚的发病年龄(平均年龄 38 岁)。AUD 的其他预测因素包括人口统计学特征(较低的教育水平),以及在 T1 之前与酒精、药物和尼古丁的更多接触。酗酒者的 AUD 持续缓解与 T1 和 T10 饮酒频率较低、T10 时分居或离婚以及奖励依赖较高有关。
这些数据表明,在十几岁到二十几岁之间获得的信息可以帮助预测 AUD 的未来发病和病程,并强调了纵向研究在物质使用障碍中的重要性。