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采用析因随机化 N-of-1 试验检验自我调节干预措施对增加步行的影响。

Testing self-regulation interventions to increase walking using factorial randomized N-of-1 trials.

机构信息

Institute of Health and Society, Newcastle University, Newcastle, England.

出版信息

Health Psychol. 2012 Nov;31(6):733-7. doi: 10.1037/a0027337. Epub 2012 Feb 20.

Abstract

OBJECTIVE

To investigate the suitability of N-of-1 randomized controlled trials (RCTs) as a means of testing the effectiveness of behavior change techniques based on self-regulation theory (goal setting and self-monitoring) for promoting walking in healthy adult volunteers.

METHOD

A series of N-of-1 RCTs in 10 normal and overweight adults ages 19-67 (M = 36.9 years). We randomly allocated 60 days within each individual to text message-prompted daily goal-setting and/or self-monitoring interventions in accordance with a 2 (step-count goal prompt vs. alternative goal prompt) × 2 (self-monitoring: open vs. blinded Omron-HJ-113-E pedometer) factorial design. Aggregated data were analyzed using random intercept multilevel models. Single cases were analyzed individually. The primary outcome was daily pedometer step counts over 60 days.

RESULTS

Single-case analyses showed that 4 participants significantly increased walking: 2 on self-monitoring days and 2 on goal-setting days, compared with control days. Six participants did not benefit from the interventions. In aggregated analyses, mean step counts were higher on goal-setting days (8,499.9 vs. 7,956.3) and on self-monitoring days (8,630.3 vs. 7,825.9). Multilevel analyses showed a significant effect of the self-monitoring condition (p = .01), the goal-setting condition approached significance (p = .08), and there was a small linear increase in walking over time (p = .03).

CONCLUSION

N-of-1 randomized trials are a suitable means to test behavioral interventions in individual participants.

摘要

目的

研究 N-of-1 随机对照试验(RCT)作为一种测试基于自我调节理论(目标设定和自我监测)的行为改变技术有效性的方法是否适用于促进健康成年志愿者行走。

方法

对 10 名年龄在 19-67 岁(M = 36.9 岁)的正常和超重成年人进行了一系列 N-of-1 RCT。我们根据 2(计步目标提示与替代目标提示)×2(自我监测:开放与 Omron-HJ-113-E 电子计步器)的因子设计,随机分配每个个体 60 天内的短信提示每日目标设定和/或自我监测干预。使用随机截距多层模型分析汇总数据。对单个案例进行单独分析。主要结果是 60 天内的每日计步器步数。

结果

单个案例分析显示,与对照组相比,有 4 名参与者在自我监测日和目标设定日显著增加了行走量:2 名参与者在自我监测日,2 名参与者在目标设定日。6 名参与者没有从干预中受益。在汇总分析中,目标设定日的平均步数(8499.9 比 7956.3)和自我监测日的平均步数(8630.3 比 7825.9)更高。多层次分析显示,自我监测条件有显著影响(p =.01),目标设定条件接近显著(p =.08),并且行走时间呈线性增加(p =.03)。

结论

N-of-1 随机试验是测试个体参与者行为干预的一种合适方法。

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