To address whether eating disorders (ED) or insulin omission (IOM) in adult persons living with type 1 diabetes (pwT1D) are associated with impaired glycaemic control.

Cross-sectional analysis.

The French-Speaking Diabetes Society—Type 1 Diabetes Cohort (SFDT1) is an ongoing epidemiological cohort study that includes pwT1D in France who attend hospitals or private ambulatory diabetes centres.

Adult participants from the SFDT1 study, with data on ED and IOM. The current analysis was performed on data collected during the baseline visit in participants enrolled between December 2020 and March 2024.

Using the SCOFF, a self-reported questionnaire to screen for ED, and a single question on IOM to screen for IOM, we described four categories of pwT1D: no ED & no IOM, ED & no IOM, no ED & IOM and ED & IOM. We performed unadjusted and adjusted (for age, sex, diabetes duration, social vulnerability, smoking, alcohol status and insulin treatment) multinomial logistic regression models with the four categories as the outcome and glycaemic variables as explanatory variables, including continuous glucose monitoring (CGM) variables and HbA1c. No ED & no IOM was the reference outcome for all comparisons. We stratified each model by sex and fear of hypoglycaemia.

We included 1113 participants, 51% males, median (IQR) age 38 (29–50) years, diabetes duration 21 (12–32) years. Prevalences were as follows: no ED & no IOM: 68% (n=758), ED & no IOM: 11% (n=124), no ED & IOM: 16% (n=177) and ED & IOM: 5% (n=54). With the fully adjusted model, and compared with the group no ED & no IOM, time in range (OR (95% CI) 0.5 (0.4 to 0.7)) and time below range (0.5 (0.3 to 0.8)) were inversely associated with ED & IOM. Moreover, time in range (0.4 (0.4 to 0.5)) was associated with IOM & no ED. Time above range (2.2 (1.6 to 2.9)), Glycaemic Risk Index (1.8 (1.3 to 2.5)), glucose monitoring indicator (2.2 (1.7 to 2.9)) and HbA1c (2.0 (1.5 to 2.5)) were directly associated with ED & IOM. We did not observe associations between CGM variables and ED & no IOM. Most associations were valid in both men and women. The associations were stronger in participants with a fear of hypoglycaemia. However, the associations remained even in people with a fear of hypoglycaemia.

Both ED and IOM are frequent in pwT1D, and IOM seems to be associated with impaired glycaemic control. As our analysis was cross-sectional, we cannot infer causality and cannot know whether IOM was a result of glycaemic control or the inverse (reverse causality). Our results suggest that IOM should be systematically screened in clinical practice. Further research is needed to better identify and care for EDs, with or without IOM, in T1D.

NCT04657783.

Using network analysis, which takes a holistic approach to health systems, we aimed to identify which psychosocial burden dimensions are the most central and, thus, critical to prioritising to improve the overall health of people with type 1 diabetes (PwT1D).

A cross-sectional network analysis.

We used data from participants attending 44 diabetes centres in France, who were enrolled in the SFDT1 cohort study between June 2020 and February 2024.

We included 1430 PwT1D (52% women, median age (IQR) 41 (31–52.8) years) who had completed questionnaires on diabetes burden.

The items from questionnaires on diabetes distress, fear of hypoglycaemia, quality of life, treatment burden and the impact of diabetes on education and work.

The network was highly stable (correlation stability coefficient=0.75). We observed nine domains within the network; ‘Loneliness, Worrying & Burnout’ was the most influential. We further grouped the domains into three distinct syndromes labelled ‘Diabetes Distress’, ‘Treatment Burden’ and ‘Impact of Diabetes on Life’. These syndromes reflect the most relevant pillars of the psychosocial burden in PwT1D.

We observed that ‘Loneliness, Worrying & Burnout’ is the most influential psychosocial burden network domain to prioritise for type 1 diabetes care. This new network-based approach opens the path to defining personalised interventions targeting the most critical burden parameters to expect the most significant overall beneficial impact on PwT1D’s health.

NCT04657783.