Tucker Joan S, Orlando Maria, Ellickson Phyllis L
RAND, 1700 Main Street, Santa Monica, California 90407-2138, USA.
Health Psychol. 2003 Jan;22(1):79-87. doi: 10.1037//0278-6133.22.1.79.
Latent growth mixture modeling was used to identify developmental trajectories (described in terms of demographics, exposure and resistance to a pro-drug environment, and deviant behavior) of binge drinking among 5,694 individuals who completed 6 surveys from ages 13 to 23 years: nonbingers (32%); moderate stables (37%), who had consistently low levels of bingeing; steady increasers (16%), who increased from the lowest to highest level of bingeing; adolescent bingers (9%), whose early rise in bingeing was followed by a decrease to a moderate level; and early highs (6%), who decreased from the highest level of bingeing to a moderate level. Results show considerable diversity in binge drinking patterns and the correlates of bingeing across trajectory classes.
潜在增长混合模型被用于识别5694名个体的酗酒发展轨迹(根据人口统计学、对促瘾环境的接触和抵抗力以及偏差行为来描述),这些个体在13至23岁期间完成了6次调查:非酗酒者(32%);中度稳定型(37%),其酗酒水平一直较低;稳步增加型(16%),其酗酒水平从最低升至最高;青少年酗酒者(9%),其酗酒行为先上升后降至中度水平;以及早期高值型(6%),其酗酒水平从最高降至中度水平。结果显示,酗酒模式以及各轨迹类别中酗酒的相关因素存在相当大的差异。