Up close and personal: Temporal variability in the drinking of individual college students during their first year
Up close and personal: Temporal variability in the drinking of individual college students during their first year
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DOI：
10.1037/0022-006x.72.2.155
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发表时间：
2004-04-01
影响因子：
5.9
通讯作者：
Goldman, MS
中科院分区：
文献类型：
--
作者：
Del Boca, FK;Darkes, J;Goldman, MS
调查记录了大学生过度饮酒的情况，并跟踪了消费量随时间的年度变化。这项研究扩展了以前的工作，通过检查在大一期间饮酒的变化，使用潜在的增长曲线（LGC）分析模型的个人变化，并与大量饮酒的风险因素模型中的生长因子。回顾性每月评估每日饮酒量，以产生每周的估计。饮酒量每周变化很大，显然是学术要求和假期的函数。4因素LGC模型充分拟合数据。在单变量分析中，性别、种族/民族、酒精期望、感觉寻求、居住地和数据完整性预测了生长因子（ps < .05）;当协变量同时进行检验时，性别、期望、居住地和数据完整性仍然显著。实质性的，方法和政策影响进行了讨论。
Surveys have documented excessive drinking among college students and tracked annual changes in consumption over time. This study extended previous work by examining drinking changes during the freshman year, using latent growth curve (LGC) analysis to model individual change, and relating risk factors for heavy drinking to growth factors in the model. Retrospective monthly assessments of daily drinking were used to generate weekly estimates. Drinking varied considerably by week, apparently as a function of academic requirements and holidays. A 4-factor LGC model adequately fit the data. In univariate analyses, gender, race/ethnicity, alcohol expectancies, sensation seeking, residence, and data completeness predicted growth factors (ps < .05); gender, expectancies, residence, and data completeness remained significant when covariates were tested simultaneously. Substantive, methodological, and policy implications are discussed.