Center for Health Policy, Rubenstein Hall, Duke University, Durham, North Carolina 27708, USA.
J Stud Alcohol Drugs. 2010 Mar;71(2):169-79. doi: 10.15288/jsad.2010.71.169.
This study examined changes in drinking behavior after age 50 and baseline personal characteristics and subsequent life events associated with different alcohol-consumption trajectories during a 14-year follow-up period.
Data were taken from the Health and Retirement Study. The study sample included individuals ages 51-61 in 1992 who survived the sample period (1992-2006) and had at least five interviews with alcohol consumption information, yielding an analysis sample of 6,787 (3,760 women). We employed linear regression to determine drinking trajectories over 1992-2006. Based on these findings, each sample person was classified into one of five drinking categories. We used multinomial logit analysis to assess the relationship between personal demographic, income, health, and attitudinal characteristics as well as life events and drinking-trajectory category.
Overall, alcohol consumption declined. However, rates of decline differed appreciably among sample persons, and for a minority, alcohol consumption increased. Persons with increasing consumption over time were more likely to be affluent (relative-risk ratio [RRR] = 1.09, 95% CI [1.05, 1.12]), highly educated (RRR = 1.20, 95% CI [1.09, 1.31]), male, White (RRR = 3.54, 95% CI [1.01, 12.39]), unmarried, less religious, and in excellent to good health. A history of problem drinking before baseline was associated with increases in alcohol use, whereas the reverse was true for persons with histories of few or no drinking problems.
There are substantial differences in drinking trajectories at the individual level in midlife and late life. A problem-drinking history is predictive of alcohol consumption patterns in later life.
本研究考察了 50 岁以后饮酒行为的变化,以及与 14 年随访期间不同饮酒轨迹相关的基线个人特征和随后的生活事件。
数据来自健康与退休研究。研究样本包括 1992 年年龄在 51-61 岁的人群,这些人在样本期间(1992-2006 年)幸存下来,并且至少有五次关于饮酒信息的访谈,从而产生了 6787 人的分析样本(3760 名女性)。我们采用线性回归来确定 1992-2006 年期间的饮酒轨迹。根据这些发现,将每个样本个体分为五个饮酒类别之一。我们使用多项逻辑回归分析来评估个人人口统计学、收入、健康和态度特征以及生活事件与饮酒轨迹类别之间的关系。
总体而言,饮酒量下降。然而,样本人群之间的下降速度差异明显,对于少数人来说,饮酒量增加。随着时间的推移,饮酒量增加的人更有可能富裕(相对风险比[RRR] = 1.09,95%置信区间[1.05,1.12])、受过高等教育(RRR = 1.20,95%置信区间[1.09,1.31])、男性、白人(RRR = 3.54,95%置信区间[1.01,12.39])、未婚、较少宗教信仰、健康状况良好。基线前有问题饮酒史与饮酒量增加有关,而有少量或无饮酒问题史的人则相反。
在中年和晚年,个人层面的饮酒轨迹存在显著差异。有问题饮酒史是预测晚年饮酒模式的一个因素。