单次低阈值数字干预对大学生拖延行为的影响(聚焦):随机对照试验结果

Katarina Åsberg , Marie Löf , Marcus Bendtsen
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引用次数: 0

摘要

导言:拖延行为在大学生中很常见,并被发现与压力、抑郁症状、焦虑症和较差的学习成绩有关。因此,本研究旨在估算单次低阈值数字干预(Focus)对瑞典大学生拖延行为的影响。方法与分析2023年2月8日至4月26日期间进行了一项双臂、平行组(1:1)、单盲随机对照试验。研究通过电子邮件邀请瑞典全国的大学生参与试验。干预组和对照组都受邀使用 "纯粹拖延量表"(PPS)评估他们当前的拖延行为。干预组立即通过互动网站获得反馈和行为改变建议,而对照组则只显示其 PPS 总分,不提供任何进一步的反馈。如果学生在 PPS 上的得分达到或超过 20 分,则被纳入研究范围。我们的主要研究结果是随机分组后 2 个月的拖延行为测量结果。我们使用贝叶斯推理估计的多层次回归模型进行了分析。参与者的平均年龄为 26.4 岁(SD = 7.8),65% 为女性(n = 1442)。基线时的 PPS 平均分为 35.6 分(最高分为 60 分)。干预组和对照组的主要结果数据分别为 45%(n = 498)和 55%(n = 601)。尽管有微弱的证据表明干预组的体育活动量较低,但证据表明组间在任何结果上都没有明显差异。从开放式回答中得出的定性结果揭示了对拖延和可能随之产生的问题的各种看法。那些没有得到 Focus 支持的人解释说,如果没有更多持续的支持,他们很难采纳所给出的建议,也很难将自己的意图转化为行动。由于基线筛选和随访时的自然减员,研究结果受到了评估反应性的限制。
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Effects of a single session low-threshold digital intervention for procrastination behaviors among university students (Focus): Findings from a randomized controlled trial

Introduction

Procrastination behaviors are common among university students, and have been found to be associated with stress, symptoms of depression, anxiety, and poorer academic performance. There is a need for interventions that can reach students at scale, and therefore this study aimed to estimate the effects of a single session low-threshold digital intervention (Focus) for procrastination behaviors among university students in Sweden.

Methods and analysis

A two-arm, parallel groups (1:1), single blind randomized controlled trial was conducted between February 8 to April 26, 2023. The study used email to invite university students across Sweden to participate in the trial. Both the intervention and the control group were invited to assess their current procrastination behaviors using the Pure Procrastination Scale (PPS). The intervention group immediately received feedback and behavior change advice by means of an interactive website, while the control group was shown their total PPS score without any further feedback. Students were included in the study if they scored 20 points or more on the PPS. Our primary outcome was procrastination behavior measured at 2 months post-randomization. Analyses were conducted using multilevel regression models estimated with Bayesian inference.

Results

A total of 2209 participants (intervention: 1109, control: 1100) were randomized. The average age of participants was 26.4 years (SD = 7.8) and 65 % were women (n = 1442). The mean PPS score at baseline was 35.6 points (of a maximum of 60). Primary outcome data were available for 45 % (n = 498) of the intervention group and 55 % (n = 601) of the control group. The evidence suggested no marked difference between groups regarding any of the outcomes, although there was weak evidence of lower physical activity in the intervention group. Qualitative findings from open-ended responses uncovered a variety of views on procrastination and perceived problems that may follow. Those not feeling supported by Focus explained having troubles adopting the advice given and converting their intentions into action without more continuous support.

Conclusions

Access to a single session of feedback and behavior change advice by means of an interactive website did not produce differential self-reported procrastination among university students who took the opportunity to self-assess their behaviors. The findings are limited by assessment reactivity due to screening at baseline and attrition to follow-up.

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来源期刊
CiteScore
6.50
自引率
9.30%
发文量
94
审稿时长
6 weeks
期刊介绍: Official Journal of the European Society for Research on Internet Interventions (ESRII) and the International Society for Research on Internet Interventions (ISRII). The aim of Internet Interventions is to publish scientific, peer-reviewed, high-impact research on Internet interventions and related areas. Internet Interventions welcomes papers on the following subjects: • Intervention studies targeting the promotion of mental health and featuring the Internet and/or technologies using the Internet as an underlying technology, e.g. computers, smartphone devices, tablets, sensors • Implementation and dissemination of Internet interventions • Integration of Internet interventions into existing systems of care • Descriptions of development and deployment infrastructures • Internet intervention methodology and theory papers • Internet-based epidemiology • Descriptions of new Internet-based technologies and experiments with clinical applications • Economics of internet interventions (cost-effectiveness) • Health care policy and Internet interventions • The role of culture in Internet intervention • Internet psychometrics • Ethical issues pertaining to Internet interventions and measurements • Human-computer interaction and usability research with clinical implications • Systematic reviews and meta-analysis on Internet interventions
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