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基线动机类型对健康饮食短信计划辍学的预测作用。

Baseline Motivation Type as a Predictor of Dropout in a Healthy Eating Text Messaging Program.

机构信息

ICF International, Rockville, MD, United States.

出版信息

JMIR Mhealth Uhealth. 2016 Sep 29;4(3):e114. doi: 10.2196/mhealth.5992.

Abstract

BACKGROUND

Growing evidence suggests that text messaging programs are effective in facilitating health behavior change. However, high dropout rates limit the potential effectiveness of these programs.

OBJECTIVE

This paper describes patterns of early dropout in the HealthyYou text (HYTxt) program, with a focus on the impact of baseline motivation quality on dropout, as characterized by Self-Determination Theory (SDT).

METHODS

This analysis included 193 users of HYTxt, a diet and physical activity text messaging intervention developed by the US National Cancer Institute. Descriptive statistics were computed, and logistic regression models were run to examine the association between baseline motivation type and early program dropout.

RESULTS

Overall, 43.0% (83/193) of users dropped out of the program; of these, 65.1% (54/83; 28.0% of all users) did so within the first 2 weeks. Users with higher autonomous motivation had significantly lower odds of dropping out within the first 2 weeks. A one unit increase in autonomous motivation was associated with lower odds (odds ratio 0.44, 95% CI 0.24-0.81) of early dropout, which persisted after adjusting for level of controlled motivation.

CONCLUSIONS

Applying SDT-based strategies to enhance autonomous motivation might reduce early dropout rates, which can improve program exposure and effectiveness.

摘要

背景

越来越多的证据表明,短信程序在促进健康行为改变方面非常有效。然而,高辍学率限制了这些程序的潜在效果。

目的

本文描述了 HealthyYou text (HYTxt) 计划中早期辍学的模式,重点关注基线动机质量对辍学的影响,这是由自我决定理论 (SDT) 来描述的。

方法

这项分析包括 193 名使用 HYTxt 的用户,这是美国国家癌症研究所开发的一种饮食和体育活动短信干预措施。计算了描述性统计数据,并运行逻辑回归模型来检验基线动机类型与早期计划辍学之间的关联。

结果

总体而言,43.0%(193 名用户中的 83 名)退出了该计划;其中,65.1%(83 名中的 54 名;所有用户的 28.0%)在头 2 周内就退出了。具有更高自主动机的用户在头 2 周内辍学的可能性显著降低。自主动机增加一个单位与早期辍学的可能性降低相关(优势比 0.44,95%置信区间 0.24-0.81),即使在调整了控制动机水平后也是如此。

结论

应用基于 SDT 的策略来增强自主动机可能会降低早期辍学率,从而提高项目的参与度和效果。

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