@文章{信息:doi/10.2196/17709，作者=“Su, Jingyuan and Dugas, Michelle and Guo, Xitong and Gao，国栋(Gordon)”，标题=“人格对糖尿病患者移动健康使用的影响:前瞻性试验研究”，期刊=“JMIR mHealth Uhealth”，年=“2020”，月=“8”，日=“10”，卷=“8”，号=“8”，页=“e17709”，关键词=“mHealth;糖尿病;采用;积极利用;人格特质;背景:移动健康技术(mHealth)干预措施越来越多地被用于帮助改善糖尿病患者的自我管理;然而，这些干预措施并没有被大量患者采用，往往有很高的辍学率。患者的个性特征可能在应用程序的采用和积极使用中起着关键作用，但很少有研究关注这个问题。目的:本研究旨在解决人格特质与糖尿病患者移动健康治疗之间关系的理解空白。我们测试了人格特征的五因素模型(开放性、严谨性、外向性、亲和性和神经质)在移动健康采用偏好和积极利用中的作用。 Methods: We developed an mHealth app (DiaSocial) aimed to encourage diabetes self-management. We recruited 98 patients with diabetes---each patient freely chose whether to receive the standard care or the mHealth app intervention. Patient demographic information and patient personality characteristics were assessed at baseline. App usage data were collected to measure user utilization of the app. Patient health outcomes were assessed with lab measures of glycated hemoglobin (HbA1c level). Logistic regression models and linear regression were employed to explore factors predicting the relationship between mHealth use (adoption and active utilization) and changes in health outcome. Results: Of 98 study participants, 46 (47{\%}) downloaded and used the app. Relatively younger patients with diabetes were 9{\%} more likely to try and use the app (P=.02, odds ratio [OR] 0.91, 95{\%} CI 0.85-0.98) than older patients with diabetes were. Extraversion was negatively associated with adoption of the mHealth app (P=.04, OR 0.71, 95{\%} CI 0.51-0.98), and openness to experience was positively associated with adoption of the app (P=.03, OR 1.73, 95{\%} CI 1.07-2.80). Gender (P=.43, OR 0.66, 95{\%} CI 0.23-1.88), education (senior: P=.99, OR 1.00, 95{\%} CI 0.32-3.11; higher: P=.21, OR 2.51, 95{\%} CI 0.59-10.66), and baseline HbA1c level (P=.36, OR 0.79, 95{\%} CI 0.47-1.31) were not associated with app adoption. Among those who adopted the app, a low education level (senior versus primary P=.003; higher versus primary P=.03) and a high level of openness to experience (P=.048, OR 2.01, 95{\%} CI 1.01-4.00) were associated with active app utilization. Active users showed a significantly greater decrease in HbA1c level than other users ($\Delta$HbA1c=−0.64, P=.05). Conclusions: This is one of the first studies to investigate how different personality traits influence the adoption and active utilization of an mHealth app among patients with diabetes. The research findings suggest that personality is a factor that should be considered when trying to identify patients who would benefit the most from apps for diabetes management. ", issn="2291-5222", doi="10.2196/17709", url="https://mhealth.www.mybigtv.com/2020/8/e17709", url="https://doi.org/10.2196/17709", url="http://www.ncbi.nlm.nih.gov/pubmed/32773382" }