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本文引用的文献

1
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods.间接效应的置信区间:乘积分布与重抽样方法
Multivariate Behav Res. 2004 Jan 1;39(1):99. doi: 10.1207/s15327906mbr3901_4.
2
Level of response to alcohol within the context of alcohol-related domains: an examination of longitudinal approaches assessing changes over time.在与酒精相关领域中对酒精的反应水平:对评估随时间变化的纵向研究方法的考察
Alcohol Clin Exp Res. 2008 Mar;32(3):472-80. doi: 10.1111/j.1530-0277.2008.00645.x.
3
Distribution of the product confidence limits for the indirect effect: program PRODCLIN.间接效应的乘积置信区间分布:程序PRODCLIN。
Behav Res Methods. 2007 Aug;39(3):384-9. doi: 10.3758/bf03193007.
4
Drinking by parents, siblings, and friends as predictors of regular alcohol use in adolescents and young adults: a longitudinal twin-family study.父母、兄弟姐妹及朋友饮酒对青少年和青年成年人经常饮酒的预测作用:一项双生子-家庭纵向研究
Alcohol Alcohol. 2007 Jul-Aug;42(4):362-9. doi: 10.1093/alcalc/agm042. Epub 2007 May 30.
5
Mediation analysis.中介分析
Annu Rev Psychol. 2007;58:593-614. doi: 10.1146/annurev.psych.58.110405.085542.
6
Screening older, blue-collar workers for drinking problems: an assessment of the efficacy of the drinking problems index.对老年蓝领工人饮酒问题进行筛查:饮酒问题指数的疗效评估
J Occup Health Psychol. 2006 Jan;11(1):119-34. doi: 10.1037/1076-8998.11.1.119.
7
Longitudinal trajectories of heavy drinking in adults in the United States of America.美国成年人重度饮酒的纵向轨迹。
Addiction. 2006 Jan;101(1):91-9. doi: 10.1111/j.1360-0443.2005.01299.x.
8
Stress generation, avoidance coping, and depressive symptoms: a 10-year model.压力产生、回避应对与抑郁症状:一个十年模型
J Consult Clin Psychol. 2005 Aug;73(4):658-66. doi: 10.1037/0022-006X.73.4.658.
9
The 8-year course of alcohol abuse: gender differences in social context and coping.8年酗酒历程:社会背景与应对方式中的性别差异
Alcohol Clin Exp Res. 2005 Apr;29(4):612-21. doi: 10.1097/01.alc.0000158832.07705.22.
10
Longitudinal patterns and predictors of alcohol consumption in the United States.美国酒精消费的纵向模式及预测因素
Am J Public Health. 2005 Mar;95(3):458-65. doi: 10.2105/AJPH.2003.019471.

晚年饮酒轨迹的模式和预测因素:一项 10 年纵向研究。

Patterns and predictors of late-life drinking trajectories: a 10-year longitudinal study.

机构信息

Center for Health Care Evaluation, VA Palo Alto Health Care System, Menlo Park Division, 795 Willow Road, Menlo Park, CA 94025, USA.

出版信息

Psychol Addict Behav. 2010 Jun;24(2):254-64. doi: 10.1037/a0018592.

DOI:10.1037/a0018592
PMID:20565151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2891546/
Abstract

This study examines the extent of group-level and intra-individual decline in alcohol consumption among adults as they traverse a 10-year interval spanning late-middle to early-old age. Further, it identifies key baseline predictors of these adults' 10-year drinking trajectories. Community residents (n = 1,291; age 55 to 65 years at baseline) were assessed at 4 points over a 10-year interval on demographic and health characteristics, coping responses, social context, and alcohol consumption. Descriptive cross-wave statistics, and multilevel regression analyses, indicated that in the sample overall, participants' 10-year patterns of alcohol consumption were relatively stable. However, men's patterns, and those of individuals drinking beyond recommended alcohol consumption guidelines at baseline, were more variable and showed steeper rates of decline, than did those of women and individuals drinking within recommended levels. Contrary to expectation baseline use of substances to reduce tension and heavier reliance on avoidance coping predicted faster rate of decline in alcohol consumption. Post hoc prospective mediation analyses suggested that this may have occurred because these and other baseline predictors heighten risk of developing new health problems which, in turn, motivate reduced alcohol consumption.

摘要

本研究考察了成年人在跨越 10 年的从中年后期到早期老年的时间间隔内,群体水平和个体内饮酒量下降的程度。此外,它还确定了这些成年人 10 年饮酒轨迹的关键基线预测因素。在 10 年内,对社区居民(n = 1,291;基线时年龄为 55 至 65 岁)进行了 4 次评估,评估内容包括人口统计学和健康特征、应对方式、社会环境和饮酒情况。描述性跨波统计和多层次回归分析表明,在总体样本中,参与者的 10 年饮酒模式相对稳定。然而,与女性和处于推荐饮酒水平内的个体相比,男性的模式以及基线时饮酒超过推荐饮酒指南的个体的模式变化更大,下降速度更快。与预期相反,基线时使用物质来缓解紧张和更依赖回避应对方式预测了饮酒量下降速度更快。事后前瞻性中介分析表明,这可能是因为这些和其他基线预测因素增加了出现新健康问题的风险,而新健康问题反过来又促使减少饮酒。