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Risk of depression and anxiety disorders according to long-term glycemic variability
Few studies have examined the relationship between glycemic variability (GV) and anxiety or depression. However, poor glycemic management has been associated with mental symptoms. This study by Kwon et al. (2023) aimed to investigate the relationship between glycemic variability (GV) and these mental health disorders, as well as the connection between fasting plasma glucose (FPG) trends and psychiatric symptoms. The authors used data from the National Health Insurance Service-National Sample Cohort database (NHIS-NSC, n = 151814, 2002–2013) on participants who underwent at least three health screenings between 2002 and 2010. Variability independent of the mean (VIM) for visit-to-visit FPG levels was used to quantify glycemic variability. Following the index date, ICD-10 codes (F41 for anxiety and F32 or F33 for depression) were used to diagnose depression and anxiety disorders, revealing a total of 14,149 patients who had a new diagnosis of anxiety during the follow-up period, while 7,166 patients received a new diagnosis of depression. Anxiety and depression were more common in the group with the highest quartile of FPG variability than in the group with the lowest quartile. The risk of depression was 1.43 times higher for individuals with chronic hyperglycemia, as determined by FPG trajectory clustering than for those with consistently low FPG levels. Because only participants who had undergone at least three health tests were included in the study, selection bias may be a possibility. Prolonged hyperglycemia and high glycemic fluctuation are linked to a higher prevalence of anxiety and depression. [NPID: Glycemic variability, depression, anxiety disorders, fasting plasma glucose, health screenings, persistent hyperglycemia]
Year: 2023
