Effects of Alcohol Management Programs for University Students in Korea: A Systematic Review and Meta-analysis

Article information

Res Community Public Health Nurs. 2018;29(1):120-132
Publication date (electronic) : 2018 March 12
doi : https://doi.org/10.12799/jkachn.2018.29.1.120
Department of Nursing, Cheongju University, Cheongju, Korea
Corresponding author: Jeon, Hae Ok Department of Nursing, Cheongju University, 298 Daeseong-ro, Cheongwon-gu, Cheongju 28503, Korea. Tel: +82-43-229-8993, Fax: +82-43-229-8969, E-mail: beaulip@cju.ac.kr
Received 2017 November 30; Revised 2018 February 21; Accepted 2018 March 01.

Abstract

Abstract

Purpose

This study is a systematic review and meta-analysis designed to investigate effects of alcohol management programs for Korean university students.

Methods

Research results published until October 14, 2016 were systematically collected in accordance with the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analysis). A total of 12 papers were selected for the meta-analysis. To estimate the effect size, meta-analysis of the studies was performed with the Comprehensive Meta-Analysis 3.0.

Results

The mean effect size of 12 studies in total (Hedges' g= -0.36; 95% Confidence Interval [CI]: -0.76~0.05) was not significant statistically. In a study of college students classified as problematic drinking(total of 9), the drinking program showed a median effect size of Hedges' g=-0.57(95% CI: -0.96~ -0.18). Results of the drinking-related outcome variables showed a significant effect size (Hedges' g=-0.61; 95% CI: -1.10~-0.13), but psychosocial related outcome variables were not significant (Hedges' g=-0.50; 95% CI: -1.24~0.23).

Conclusion

It can be seen that the alcohol management program for college students has a significant effect on controlling the problem drinking of college students. In addition, application of a differentiated drinking program with problem drinkers selected as a risk group will be effective in controlling drinking and drinking related factors.

Figure 1.

Flow of studies included from database search.

Figure 2.

Forest plots of the effects of alcohol management programs on university students (random-effects model).

Figure 3.

Forest plots of the effects of alcohol management programs on university students with problematic drinking (random-effects model).

Figure 4.

Results of publication bias analysis.

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Article information Continued

Figure 1.

Flow of studies included from database search.

Figure 2.

Forest plots of the effects of alcohol management programs on university students (random-effects model).

Figure 3.

Forest plots of the effects of alcohol management programs on university students with problematic drinking (random-effects model).

Figure 4.

Results of publication bias analysis.