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ABSTRACT: Aim
To analyse the potential drivers (glucose level, complications, diabetes type, gender, age and mental health) of diabetes symptoms using continuous glucose monitoring (CGM) and ecological momentary assessment.Materials and methods
Participants used a smartphone application to rate 25 diabetes symptoms in their daily lives over 8 days. These symptoms were grouped into four blocks so that each symptom was rated six times on 2 days (noon, afternoon and evening). The symptom ratings were associated with the glucose levels for the previous 2 hours, measured with CGM. Linear mixed-effects models were used, allowing for nested random effects and the conduct of N = 1 analysis of individual associations.Results
In total, 192 individuals with type 1 diabetes and 179 with
SUBMITTER: Hermanns N
PROVIDER: S-EPMC11618240 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature