Clinical Department, Dario Health, Caesarea, Israel.
School of Public Health, University of Haifa, Haifa, Israel.
Front Endocrinol (Lausanne). 2024 Aug 27;15:1446405. doi: 10.3389/fendo.2024.1446405. eCollection 2024.
Depression can exacerbate diabetes by impairing self-care behaviors and increasing the risk of complication; however, the underlying mechanism is still unclear. Given the suggested associations between walking activity, depression status, and blood glucose levels this study explores the intricate relationship between depression and blood glucose (BG) control, with a focus on walking activity as a behavioral mediator. The purpose of this study is to examine walking activity's mediating role in depression's impact on BG levels, investigating and validating the non-linear association between BG levels and walking activity. This retrospective real-world study demonstrates the potential of regular walking activity as a simple and accessible intervention to mitigate the negative effects of depression on BG levels in T2D and prediabetes.
A cohort of 989 users with T2D and prediabetes, who regularly tracked their steps levels and BG levels for 12 months using the Dario digital health platform was evaluated. The mediating role of the monthly average number of steps on the relationship between the self-reported depression status and lagged monthly average BG was assessed. Additionally, the association between monthly walking activity and monthly average BG was tested using a piecewise linear mixed effects model.
Users with self-reported depression demonstrated increased BG levels compared to users without depression (B=8.00, P=.01). The association between depression and monthly average number of steps was significant (B=-.27, P<.005) and monthly average number of steps significantly predicted the following months' average BG (B=-.81, P=.001), adjusting for depression. The monthly average number of steps significantly mediated the effect of self-reported depression on the following month's average BG (M=.22, P<.005). Further sensitivity analysis demonstrated model robustness over various periods. Finally, non-linear dynamics of walking activity over time was validated using unseen data showing a decrease in monthly average BG for users with over an average of 400 steps per day (B=-1.87, P<.01).
This study shows how regular walking may reduce the negative impact of depression on BG levels in people with T2D. Our findings advocate for the integration of walking activity into treatment protocols as a cost-effective, accessible intervention strategy to improve glycemic management and depressive symptoms in this population.
抑郁症可通过损害自我护理行为和增加并发症风险使糖尿病恶化;然而,其潜在机制仍不清楚。鉴于行走活动、抑郁状态和血糖水平之间的关联,本研究探讨了抑郁与血糖(BG)控制之间的复杂关系,重点关注行走活动作为行为中介。本研究旨在检查行走活动在抑郁对 BG 水平影响中的中介作用,研究和验证 BG 水平与行走活动之间的非线性关联。这项回顾性真实世界研究表明,定期行走活动作为一种简单且可获得的干预措施,具有减轻 T2D 和糖尿病前期患者抑郁对 BG 水平负面影响的潜力。
评估了 989 名使用 Dario 数字健康平台连续 12 个月记录步数和 BG 水平的 T2D 和糖尿病前期患者的队列。评估了每月平均步数在自我报告的抑郁状态与滞后月平均 BG 之间的关系中的中介作用。此外,使用分段线性混合效应模型测试了每月行走活动与每月平均 BG 之间的关联。
与无抑郁的患者相比,自我报告有抑郁的患者的 BG 水平更高(B=8.00,P=.01)。抑郁与每月平均步数之间的关联具有统计学意义(B=-.27,P<.005),并且每月平均步数显著预测了随后几个月的平均 BG(B=-.81,P=.001),调整了抑郁因素。每月平均步数显著中介了自我报告的抑郁对随后一个月平均 BG 的影响(M=.22,P<.005)。进一步的敏感性分析证明了模型在不同时期的稳健性。最后,使用未见数据验证了行走活动随时间的非线性动态,结果显示每天平均步数超过 400 步的患者的每月平均 BG 下降(B=-1.87,P<.01)。
本研究表明,定期行走可以降低 T2D 患者抑郁对 BG 水平的负面影响。我们的研究结果主张将行走活动纳入治疗方案,作为一种具有成本效益、可及性的干预策略,以改善该人群的血糖管理和抑郁症状。