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感知血糖水平比基于 CGM 的数据更能预测 1 型或 2 型糖尿病患者的糖尿病困扰:使用 n-of-1 分析的精准心理健康方法。

Perceived glucose levels matter more than CGM-based data in predicting diabetes distress in type 1 or type 2 diabetes: a precision mental health approach using n-of-1 analyses.

机构信息

Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany.

Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany.

出版信息

Diabetologia. 2024 Nov;67(11):2433-2445. doi: 10.1007/s00125-024-06239-9. Epub 2024 Jul 30.

Abstract

AIMS/HYPOTHESIS: Diabetes distress is one of the most frequent mental health issues identified in people with type 1 and type 2 diabetes. Little is known about the role of glucose control as a potential contributor to diabetes distress and whether the subjective perception of glucose control or the objective glycaemic parameters are more important for the experience. With the emergence of continuous glucose monitoring (CGM), this is a relevant question as glucose values are now visible in real-time. We employed a precision monitoring approach to analyse the independent associations of perceived and measured glucose control with diabetes distress on a daily basis. By using n-of-1 analyses, we aimed to identify individual contributors to diabetes distress per person and analyse the associations of these individual contributors with mental health at a 3 month follow-up.

METHODS

In this prospective, observational study, perceived (hypoglycaemia/hyperglycaemia/glucose variability burden) and measured glucose control (time in hypoglycaemia and hyperglycaemia, CV) were assessed daily for 17 days using an ecological momentary assessment (EMA) approach with a special EMA app and CGM, respectively. Mixed-effect regression analysis was performed, with daily diabetes distress as the dependent variable and daily perceived and CGM-measured metrics of glucose control as random factors. Individual regression coefficients of daily distress with perceived and CGM-measured metrics were correlated with levels of psychosocial well-being at a 3 month follow-up.

RESULTS

Data from 379 participants were analysed (50.9% type 1 diabetes; 49.6% female). Perceived glucose variability (t=14.360; p<0.0001) and perceived hyperglycaemia (t=13.637; p<0.0001) were the strongest predictors of daily diabetes distress, while CGM-based glucose variability was not significantly associated (t=1.070; p=0.285). There was great heterogeneity between individuals in the associations of perceived and measured glucose parameters with diabetes distress. Individuals with a stronger association between perceived glucose control and daily distress had more depressive symptoms (β=0.32), diabetes distress (β=0.39) and hypoglycaemia fear (β=0.34) at follow-up (all p<0.001). Individuals with a stronger association between CGM-measured glucose control and daily distress had higher levels of psychosocial well-being at follow-up (depressive symptoms: β=-0.31; diabetes distress: β=-0.33; hypoglycaemia fear: β=-0.27; all p<0.001) but also higher HbA (β=0.12; p<0.05).

CONCLUSIONS/INTERPRETATION: Overall, subjective perceptions of glucose seem to be more influential on diabetes distress than objective CGM parameters of glycaemic control. N-of-1 analyses showed that CGM-measured and perceived glucose control had differential associations with diabetes distress and psychosocial well-being 3 months later. The results highlight the need to understand the individual drivers of diabetes distress to develop personalised interventions within a precision mental health approach.

摘要

目的/假设:糖尿病困扰是 1 型和 2 型糖尿病患者最常见的心理健康问题之一。人们对血糖控制作为糖尿病困扰的潜在因素的作用知之甚少,也不知道是主观感知的血糖控制还是客观的血糖参数对这种体验更为重要。随着连续血糖监测(CGM)的出现,这是一个相关的问题,因为现在可以实时看到血糖值。我们采用了精确监测方法,每天分析感知和测量的血糖控制与糖尿病困扰之间的独立关联。通过使用 n-of-1 分析,我们旨在为每个人确定导致糖尿病困扰的个体因素,并分析这些个体因素与 3 个月随访时心理健康的关联。

方法

在这项前瞻性、观察性研究中,使用生态瞬时评估(EMA)方法,分别使用特殊的 EMA 应用程序和 CGM 每天评估感知(低血糖/高血糖/血糖变异性负担)和测量的血糖控制(低血糖和高血糖时间、CV)17 天。使用混合效应回归分析,以每日糖尿病困扰为因变量,以每日感知和 CGM 测量的血糖控制指标为随机因素。每日困扰的个体回归系数与 3 个月随访时的心理社会健康水平相关。

结果

对 379 名参与者的数据进行了分析(50.9%为 1 型糖尿病;49.6%为女性)。感知血糖变异性(t=14.360;p<0.0001)和感知高血糖(t=13.637;p<0.0001)是每日糖尿病困扰的最强预测因素,而基于 CGM 的血糖变异性则无显著相关性(t=1.070;p=0.285)。感知和测量的血糖参数与糖尿病困扰之间的关联在个体之间存在很大的异质性。感知血糖控制与每日困扰之间关联较强的个体在随访时表现出更多的抑郁症状(β=0.32)、糖尿病困扰(β=0.39)和低血糖恐惧(β=0.34)(均 p<0.001)。感知 CGM 测量的血糖控制与每日困扰之间关联较强的个体在随访时具有更高的心理社会健康水平(抑郁症状:β=-0.31;糖尿病困扰:β=-0.33;低血糖恐惧:β=-0.27;均 p<0.001),但 HbA 水平也更高(β=0.12;p<0.05)。

结论/解释:总体而言,血糖的主观感知似乎比客观的 CGM 血糖控制参数对糖尿病困扰的影响更大。n-of-1 分析表明,CGM 测量和感知的血糖控制与 3 个月后的糖尿病困扰和心理社会健康有不同的关联。结果强调了需要了解糖尿病困扰的个体驱动因素,以便在精准心理健康方法中制定个性化干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1763/11519212/146076efe0b3/125_2024_6239_Fig1_HTML.jpg

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