Amsterdam UMC, location Vrije Universiteit Amsterdam, Medical Psychology, de Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Public Health, Mental Health, Amsterdam, the Netherlands.
Amsterdam Public Health, Mental Health, Amsterdam, the Netherlands; Amsterdam UMC, location Vrije Universiteit Amsterdam, Endocrinology and Metabolism, de Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam UMC, location Vrije Universiteit Amsterdam, Vasculair Medicine, de Boelelaan 1117, Amsterdam, the Netherlands; Diabetes Center Amsterdam UMC, location Vrije Universiteit Amsterdam, Vasculair Medicine, de Boelelaan 1117, Amsterdam, the Netherlands; Amsterdam Cardiovasculair Science, Amsterdam, the Netherlands.
J Psychosom Res. 2023 Oct;173:111477. doi: 10.1016/j.jpsychores.2023.111477. Epub 2023 Aug 24.
Mood fluctuations related to blood glucose excursions are a commonly reported source of diabetes-distress, but research is scarce. We aimed to assess the relationship between real-time glucose variability and mood in adults with type 1 diabetes (T1D) using ecological momentary assessments.
In this prospective observational study, participants wore a masked continuous glucose monitor and received prompts on their smartphone 6 times a day to answer questions about their current mood (Profile Of Mood States (POMS)-SF (dimensions: Anxiety, Depressive symptoms, Anger, Fatigue, Vigor)) for 14 days. Mixed model analyses examined associations over time between daily Coefficient of Variation (CV) of blood glucose and mean and variability (CV) of POMS scores. Further, within-person differences in sleep and nocturnal hypoglycemia were explored.
18 people with T1D (10 female, mean age 44.3 years) participated. A total of 264 out of 367 days (70.2%) could be included in the analyses. No overall significant associations were found between CV of blood glucose and mean and CV of POMS scores, however, nocturnal hypoglycemia moderated the associations between CV of blood glucose and POMS scales (mean Fatigue Estimate 1.998, p < .006, mean Vigor Estimate -3.308, p < .001; CV Anger Estimate 0.731p = 0.02, CV Vigor Estimate -0.525, p = .006).
We found no overall relationship between real-time glycemic variability and mood per day. Further research into within-person differences such as sleep and nocturnal hypoglycemia is warranted.
与血糖波动相关的情绪波动是糖尿病患者常见的困扰源，但相关研究较少。我们旨在使用实时动态血糖监测评估 1 型糖尿病（T1D）成人的血糖变异性与情绪之间的关系。
在这项前瞻性观察性研究中，参与者佩戴了隐形连续血糖监测仪，并在智能手机上每天收到 6 次提示，以回答关于当前情绪的问题（心境状态问卷（POMS）-SF（维度：焦虑、抑郁症状、愤怒、疲劳、活力）），持续 14 天。混合模型分析考察了血糖日变异系数（CV）与 POMS 评分的均值和变异（CV）之间随时间的关联。此外，还探讨了睡眠和夜间低血糖的个体内差异。
18 名 T1D 患者（10 名女性，平均年龄 44.3 岁）参与了研究。在 367 天中有 264 天（70.2%）可纳入分析。血糖 CV 与 POMS 评分的均值和 CV 之间未发现总体显著关联，但夜间低血糖会调节血糖 CV 与 POMS 量表之间的关联（疲劳估计值 1.998，p<0.006，活力估计值-3.308，p<0.001；愤怒估计值 0.731，p=0.02，活力估计值-0.525，p=0.006）。
我们未发现血糖实时变异性与每日情绪之间的总体关系。需要进一步研究个体内差异，如睡眠和夜间低血糖。
