Social network moderators of brief alcohol intervention impact.
Social network moderators of brief alcohol intervention impact.
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社交网络版主对酒精干预的短暂影响。
DOI：
10.1037/adb0000783
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发表时间：
2022-09
期刊：
影响因子：
--
通讯作者：
Stamates AL
中科院分区：
文献类型：
--
作者：
Lau-Barraco C;Braitman AL;Junkin E;Glenn DJ;Stamates AL
这项调查考察了在短暂的酒精干预后，社交网络对减少饮酒努力的影响。在对早期随机对照试验数据的重新分析中，我们旨在测试干预前社会网络特征的三个领域作为影响干预反应的潜在因素：(1)一般网络特征（即网络规模、网络稳定性），(2)一般网络酒精使用情况（即网络戒酒者、网络重度/问题饮酒者），以及(3)网络中的风险同伴（即饮酒伙伴的比例，被认定为重度/问题饮酒者的饮酒伙伴的存在）。参与者是从社区招募的164名新出现的成年重度饮酒者（65.9%为男性，平均年龄21.98岁，56.2%为少数民族）。参与者被随机分配到简短的个性化反馈干预或仅评估控制，并在1个月和3个月的随访中提供数据。更大的网络稳定性和更大的戒酒者在一个人的社会网络中的代表性与改善的最初干预后反应有关。网络中的重度饮酒者/问题饮酒者对饮酒结果的干预后影响并不温和，但对那些在其网络中有较高比例饮酒伙伴的人来说，干预对风险降低的潜在影响更强。研究结果提供了一些证据，个性化反馈干预是有效的减轻一些风险的社会网络影响。然而，研究结果并不支持对所有网络变量的一致影响。未来的研究需要进一步明确社会网络的影响，以及如何有针对性地提高干预效果。
This investigation examined the impact of social networks on drinking reduction efforts following a brief alcohol intervention. In a reanalysis of data from an earlier randomized controlled trial with nonstudent emerging adult drinkers, we aimed to test three domains of pre-intervention social network features as potential factors influencing intervention response: (1) general network characteristics (i.e., network size, network stability), (2) general network alcohol use (i.e., network alcohol abstainers, network heavy/problem drinkers), and (3) risky peers in network (i.e., proportion of drinking buddies, presence of drinking buddies identified as heavy/problem drinker). Participants were 164 emerging adult heavy drinkers recruited from the community (65.9% men; mean age = 21.98 years; 56.2% ethnic minority). Participants were randomly assigned to either a brief personalized feedback intervention or assessment-only control and provided data at 1-month and 3-month follow-ups. Greater network stability and greater representation of alcohol abstainers in one’s social network were associated with improved initial post-intervention response. Heavy/problem drinkers in the network did not moderate initial post-intervention effects on drinking outcomes, but there was potentially a stronger intervention effect on risk reduction for those with higher proportions of drinking buddies in their network. Study findings provided some evidence that a personalized feedback intervention was efficacious in mitigating some risky social network influence. However, findings did not support a consistent impact across all the network variables examined. Future research is needed to further clarify social network influences and how they may be targeted to enhance intervention efficacy.
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影响因子：
3.7
作者：
Groh, David R.;Jason, Leonard A.;Ferrari, Joseph R.
通讯作者：
Ferrari, Joseph R.
影响因子：
4.4
作者：
Delucchi, Kevin L.;Matzger, Helen;Weisner, Constance
通讯作者：
Weisner, Constance
DOI：
10.1037/a0020168
发表时间：
2010-07-01
期刊：
The American psychologist
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1097/00000374-200011000-00009
发表时间：
2000-11-01
影响因子：
3.2
作者：
Leonard, KE;Mudar, PJ
通讯作者：
Mudar, PJ
影响因子：
4.2
作者：
Eddie, David;Kelly, John F.
通讯作者：
Kelly, John F.