Research square · 2026
Metabolic-vascular burden and subsequent Parkinson's disease across Chinese, English, and European ageing cohorts.
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Zeng Shan, Yusufujiang Aishanjiang, Li Hongyan
Аннотация
BACKGROUND: Metabolic and vascular disorders have been linked to Parkinson's disease (PD), but population-based evidence remains inconsistent. We examined whether harmonized metabolic-vascular burden was associated with subsequent reported PD across Chinese, English, and European ageing cohorts.
METHODS: We analyzed participants aged 50 years or older in CHARLS, ELSA, and SHARE after excluding reported PD at exposure baseline. Metabolic-vascular burden was scored from 0 to 4 by summing diabetes, hypertension, dyslipidemia or high cholesterol, and body mass index > = 25 kg/m2. Subsequent reported PD was identified at follow-up waves. Cohort-specific logistic regression estimated odds ratios (ORs) per additional component, followed by random-effects meta-analysis.
RESULTS: The analytic sample included 111,142 participants and 1,332 follow-up PD events: 16,531 participants and 241 events in CHARLS, 13,581 and 134 in ELSA, and 81,030 and 957 in SHARE. In demographic-adjusted models, each additional component was associated with higher PD odds in CHARLS (OR 1.29, 95% CI 1.14-1.47) and SHARE (OR 1.13, 95% CI 1.07-1.20), but not ELSA (OR 1.03, 95% CI 0.85-1.25). The pooled demographic-adjusted OR was 1.16 (95% CI 1.04-1.29; I2 = 59.5%). Fully adjusted estimates were attenuated (pooled OR 1.07, 95% CI 0.90-1.28). Component models implicated diabetes and dyslipidemia in CHARLS and diabetes and BMI > = 25 kg/m2 in SHARE.
CONCLUSIONS: Metabolic-vascular burden showed a modest, heterogeneous association with subsequent reported PD. The findings support interpreting cardiometabolic-PD associations as population-context dependent rather than as a single transportable risk estimate.
METHODS: We analyzed participants aged 50 years or older in CHARLS, ELSA, and SHARE after excluding reported PD at exposure baseline. Metabolic-vascular burden was scored from 0 to 4 by summing diabetes, hypertension, dyslipidemia or high cholesterol, and body mass index > = 25 kg/m2. Subsequent reported PD was identified at follow-up waves. Cohort-specific logistic regression estimated odds ratios (ORs) per additional component, followed by random-effects meta-analysis.
RESULTS: The analytic sample included 111,142 participants and 1,332 follow-up PD events: 16,531 participants and 241 events in CHARLS, 13,581 and 134 in ELSA, and 81,030 and 957 in SHARE. In demographic-adjusted models, each additional component was associated with higher PD odds in CHARLS (OR 1.29, 95% CI 1.14-1.47) and SHARE (OR 1.13, 95% CI 1.07-1.20), but not ELSA (OR 1.03, 95% CI 0.85-1.25). The pooled demographic-adjusted OR was 1.16 (95% CI 1.04-1.29; I2 = 59.5%). Fully adjusted estimates were attenuated (pooled OR 1.07, 95% CI 0.90-1.28). Component models implicated diabetes and dyslipidemia in CHARLS and diabetes and BMI > = 25 kg/m2 in SHARE.
CONCLUSIONS: Metabolic-vascular burden showed a modest, heterogeneous association with subsequent reported PD. The findings support interpreting cardiometabolic-PD associations as population-context dependent rather than as a single transportable risk estimate.