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针对 1 型糖尿病成人的有效干预措施以减少糖尿病困扰:增强情绪调节和认知技能。

Toward effective interventions to reduce diabetes distress among adults with type 1 diabetes: Enhancing Emotion regulation and cognitive skills.

机构信息

Department of Family & Community Medicine, University of California, San Francisco, CA, USA.

Behavioral Diabetes Institute, Department of Psychiatry, University of California, San Diego, CA, USA.

出版信息

Patient Educ Couns. 2019 Aug;102(8):1499-1505. doi: 10.1016/j.pec.2019.03.021. Epub 2019 Mar 27.

Abstract

OBJECTIVE

We tested three models to determine how improvements in emotion regulation (ER) and cognitive skills (CS) as a result of intervention operate to affect reductions in diabetes distress DD.

METHODS

Change data were drawn from the baseline and 9-month T1-REDEEM trial. Adults with type 1 diabetes were recruited from several U.S. states and Toronto, Canada. A primary and two alternative structural equation models were tested to explore the directionality of effect: primary model - changes in ER and CS drive changes in DD; reverse model - changes in DD drive changes in ER and CS; and bidirectional model - changes in ER, CS and DD occur together with no directionality.

RESULTS

All three models displayed a good fit to the data. The primary model indicated 7 significant directional pathways: improvements in ER and CS operate together to drive reductions in DD. The reverse model only indicated that reductions in DD affected changes in one CS variable; and the bidirectional model indicated only that these results were bidirectional. Reductions in all tested domains of DD occurred together.

CONCLUSIONS

Improvements in ER and CS drive reductions in DD.

PRACTICE IMPLICATIONS

Interventions to reduce high DD should focus on improving ER and CS.

摘要

目的

我们测试了三个模型,以确定干预导致的情绪调节(ER)和认知技能(CS)的改善如何影响糖尿病困扰(DD)的减少。

方法

从基线和 9 个月的 T1-REDEEM 试验中提取了变化数据。从美国几个州和加拿大的多伦多招募了 1 型糖尿病患者。测试了一个主要和两个替代结构方程模型,以探索影响的方向性:主要模型——ER 和 CS 的变化驱动 DD 的变化;反向模型——DD 的变化驱动 ER 和 CS 的变化;双向模型——ER、CS 和 DD 的变化同时发生,没有方向性。

结果

所有三个模型都与数据拟合良好。主要模型表明有 7 个具有显著方向性的途径:ER 和 CS 的改善共同推动 DD 的减少。反向模型仅表明 DD 的减少影响了一个 CS 变量的变化;而双向模型仅表明这些结果是双向的。所有测试的 DD 领域的减少都同时发生。

结论

ER 和 CS 的改善推动了 DD 的减少。

实践意义

降低高 DD 的干预措施应侧重于改善 ER 和 CS。

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