Estimated glucose disposal rate is correlated with decreased parkinson’s disease: a population-based study
摘要
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.
MethodsWe 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.
ResultsA 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.
ConclusionHigher eGDR, reflecting improved insulin sensitivity, is associated with a reduced prevalence of PD.