Cheong JeeWon, Lindstrom Katie, Chandler Susan D, Tucker Jalie A
Department of Health Education and Behavior, University of Florida, Gainesville, FL, United States; Center for Behavioral Economic Health Research, University of Florida, Gainesville, FL, United States.
Department of Health Education and Behavior, University of Florida, Gainesville, FL, United States; Center for Behavioral Economic Health Research, University of Florida, Gainesville, FL, United States.
Addict Behav. 2020 Jul;106:106387. doi: 10.1016/j.addbeh.2020.106387. Epub 2020 Mar 7.
Functional measures indicating lower drinking problem severity predict stable low-risk drinking outcomes of recovery attempts, but findings for drinking practices are mixed. Because low-risk drinking outcomes are more common in natural than treatment-assisted recovery attempts, five studies of natural recovery attempts were integrated. Multiple dimensions of drinking practices during the year before recovery initiation were evaluated as predictors of post-recovery drinking (continuous abstinence, stable low-risk drinking, or unstable recovery involving relapse).
Community-dwelling problem drinkers (N = 616, 68% male, mean age = 46.5 years) were enrolled soon after stopping alcohol misuse and followed prospectively for one year. A Timeline Followback interview assessed daily drinking during the year before recovery initiation and yielded four dimensions for analysis: frequency of heavy drinking days (4+/5+ drinks for females/males), mean ethanol consumption per drinking day, variability in days between heavy drinking days, and variability in ethanol consumed per drinking day.
Multinomial logistic regression models showed that variability in ethanol consumed per drinking day was the sole significant predictor of 1-year outcomes when all dimensions were evaluated together. The low-risk drinker group showed less fluctuation in quantities consumed on pre-recovery drinking days compared to the groups that abstained or relapsed (ps < 0.05).
Even when drinking heavily, problem drinkers who maintained low-risk drinking recoveries limited their quantities consumed within a relatively narrow range, a pattern they maintained post-recovery at much lower consumption levels. Assessing variability in quantities consumed may aid drinking goal selection.
表明饮酒问题严重程度较低的功能指标可预测戒酒尝试的稳定低风险饮酒结果，但关于饮酒行为的研究结果不一。由于在自然戒酒尝试中低风险饮酒结果比在治疗辅助戒酒尝试中更为常见，因此整合了五项关于自然戒酒尝试的研究。将戒酒开始前一年的饮酒行为的多个维度评估为戒酒后期饮酒情况（持续戒酒、稳定低风险饮酒或涉及复饮的不稳定戒酒）的预测因素。
社区居住的问题饮酒者（N = 616，68%为男性，平均年龄 = 46.5岁）在停止酒精滥用后不久被纳入研究，并进行为期一年的前瞻性随访。通过时间线追溯访谈评估戒酒开始前一年的每日饮酒情况，并得出四个分析维度：重度饮酒日的频率（女性/男性为4杯以上/5杯以上）、每个饮酒日的平均乙醇消费量、重度饮酒日之间天数的变异性以及每个饮酒日乙醇消费量的变异性。
多项逻辑回归模型显示，当对所有维度进行综合评估时，每个饮酒日乙醇消费量的变异性是1年结果的唯一显著预测因素。与戒酒或复饮的组相比，低风险饮酒者组在戒酒前饮酒日的消费量波动较小（p < 0.05）。
即使大量饮酒，保持低风险饮酒戒酒的问题饮酒者也会将其消费量限制在相对较窄的范围内，并且在戒酒后期以低得多的消费水平维持这种模式。评估消费量的变异性可能有助于选择饮酒目标。
