Jester Jennifer M, Buu Anne, Zucker Robert A
University of Michigan.
Dev Psychopathol. 2016 Nov;28(4pt2):1531-1546. doi: 10.1017/S0954579415001157. Epub 2015 Dec 10.
Alcoholism is a heterogeneous disorder; however, characterization of life-course variations in symptomatology is almost nonexistent, and developmentally early predictors of variations are very poorly characterized. In this study, the course of alcoholic symptomatology over 32 years is differentiated, and predictors and covariates of trajectory class membership are identified. A community sample of alcoholic and neighborhood matched control families, 332 men and 336 women, was recruited based on alcoholism in the men. Symptoms were assessed retrospectively at baseline (mean age = 32) back to age 15 and prospectively from baseline every 3 years for 15 years. Trajectory classes were established using growth mixture modeling. Men and women had very similarly shaped trajectory classes: developmentally limited (men: 29%, women: 42%), developmentally cumulative (men: 26%, women: 38%), young adult onset (men: 31%, women: 21%), and early onset severe (men: 13%). Three factors at age 15 predicted class membership: family history of alcoholism, age 15 symptoms, and level of childhood antisocial behavior. Numerous measures of drinking and other psychopathology were also associated with class membership. The findings suggest that clinical assessments can be crafted where the profile of current and historical information can predict not only severity of prognosis but also future moderation of symptoms and/or remission over intervals as long as decades.
酒精中毒是一种异质性疾病;然而,几乎不存在对症状学中生命历程变化的特征描述,而且对变化的发育早期预测因素的特征描述也非常不完善。在本研究中,区分了32年期间酒精中毒症状学的病程,并确定了轨迹类别归属的预测因素和协变量。基于男性中的酒精中毒情况,招募了一个由酒精中毒者及其邻里匹配的对照家庭组成的社区样本,包括332名男性和336名女性。在基线时(平均年龄 = 32岁)回顾性评估症状,追溯至15岁,并在基线后每3年进行一次前瞻性评估,持续15年。使用生长混合模型建立轨迹类别。男性和女性的轨迹类别形状非常相似:发育受限型(男性:29%,女性:42%)、发育累积型(男性:26%,女性:38%)、青年期起病型(男性:31%,女性:21%)和早发型重度型(男性:13%)。15岁时的三个因素可预测类别归属:酒精中毒家族史、15岁时的症状以及儿童期反社会行为水平。许多饮酒和其他精神病理学指标也与类别归属有关。研究结果表明,可以制定临床评估方法,其中当前和历史信息的概况不仅可以预测预后的严重程度,还可以预测未来几十年间症状的缓解和/或减轻情况。