Estimated glucose disposal rate is correlated with decreased parkinson's disease: a population-based study.

Abstract

Background: Increasing evidence suggests that insulin resistance (IR) plays a key role in Parkinson's disease (PD). This study aimed to investigate the relationship between the estimated glucose disposal rate (eGDR), a practical and noninvasive measure for assessing IR, and PD prevalence.

Methods: We conducted a population-based cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 1999-2020. Weighted multivariable logistic regression was used to examine the association between eGDR and PD, adjusting for confounders. A restricted cubic spline (RCS) model was employed to examine the possible non-linear dose-response relationship. Subgroup analysis and sensitivity analysis were conducted to validate the robustness of the results.

Results: A total of 37,951 adults aged 20 years or older were included in the study. A significant inverse association between eGDR and PD prevalence was observed. Each 1-unit increase in eGDR was associated with a 17% reduction in the likelihood of PD (OR = 0.73, 95% CI: 0.62, 0.85, P < 0.001). Participants with the higher eGDR (4-5.99, 6-7.99, and ≥ 8 mg/kg/min) had a significantly lower prevalence of PD compared to those with the lowest eGDR (< 4 mg/kg/min). The reductions in PD prevalence were 58% (OR = 0.42; 95% CI: 0.24, 0.74; P = 0.003), 56% (OR = 0.44; 95% CI: 0.25, 0.77; P = 0.004), and 79% (OR = 0.21; 95% CI: 0.06, 0.68; P = 0.010), respectively. RCS analysis indicated a linear inverse association between eGDR and PD prevalence. Subgroup and sensitivity analyses further confirmed the consistency of these findings.

Conclusion: Higher eGDR, reflecting improved insulin sensitivity, is associated with a reduced prevalence of PD.