Family history of diabetes and glycemic progression: A propensity score-based analysis using health checkup data
GIST
by Sangtaek Oh, Seongtae Kim, Jaesuk Yun, Jung Kee Min, Hee-Jung Jee, Tae-Young Heo Background Family history of diabetes mellitus (FH_ DM) is a well-established risk factor for diabetes, but most studies have focused on disease incidence rather than glycemic changes over time. Understanding how FH_ DM affects the magnitude of change in blood glucose biomarkers before clinical diagnosis can inform earlier intervention strategies and optimize screening intervals.
Methods We analyzed standardized health checkup data from Korean adults aged 20 years or older with repeated measurements over approximately 2-year (n = 25,647) and 4-year (n = 12,831) intervals. Using propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and doubly robust (DR) estimation, we estimated the average treatment effect of FH_ DM on changes in fasting blood glucose (FBG) and hemoglobin A1c (HbA1c).
The analytic cohort included individuals with normoglycemia, prediabetes, and diabetes. Sensitivity analyses using robustness values assessed potential unmeasured confounding.
Findings After adjusting for 49 measured confounders, individuals with FH_ DM showed consistently greater glycemic progression than those without FH_ DM across all methods.
Clinical Editorial
Summary
PLOS ONE (Medicine) published a clinical update in Research Highlights on 24 Jun 2026.
The item focuses on Family history of diabetes and glycemic progression: A propensity score-based analysis using health checkup data.
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