Associations between continuous glucose monitoring (CGM) metrics and psycholinguistic measures: a correlational study

• DOI: 10.1007/s00592-024-02244-x
• Publication Date: 2024-03-16T16:02:03Z
• Authors: Francesco Marchini; Andrea Caputo; Alessio Convertino; Chiara Giuliani; Olimpia Bitterman; Dario Pitocco; Riccardo Fornengo; Elisabetta Lovati; Elisa Forte; Laura Sciacca; Angela Napoli
• Keywords: Sadness; Association (psychology)

Abstract Aim Recently, the relationship between diabetes and mental health has been widely studied. With advent of continuous glucose monitoring (CGM), some researchers have interested in exploring association glucose-related metrics psychological aspects. These studies primarily relied on self-report questionnaires which present limitations. Therefore, multicenter study aims at testing potential associations CGM affective processes derived from narratives about using a sensor. Methods An exploratory correlational design was used. Fifty-eight adults with type 1 were enrolled invited to complete an online survey, where they replied open-ended question regarding their personal experience Texts answers analyzed through Linguistic Inquiry Word Count, used text analysis tool that can automatically identify quantify linguistic patterns related various dimensions. Psycholinguistic measures correlated metrics. Results Higher levels sadness/depression lower %TIR ( r = − 339; p < .01) higher %TAR .342; .01). Conclusions The highlights variables patients' narratives. In particular, it is possible hypothesize positive role reducing depressive feelings individuals diabetes, as well negative achieving desirable outcomes. Additionally, there glycemic variability, particularly hyperglycemia, expression sad feelings, less studied compared effects hypoglycemia.