| Title: | Investigating the nexus of metabolic syndrome, serum uric acid, and dementia risk: a prospective cohort study |
| Journal: | BMC Medicine |
| Published: | 13 Mar 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38481272/ |
| DOI: | https://doi.org/10.1186/s12916-024-03302-5 |
| URL: | http://dx.doi.org/10.1186/s12916-024-03302-5 |
Publication 10123
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Abstract
BackgroundThe global dementia prevalence is surging, necessitating research into contributing factors. We aimed to investigate the association between metabolic syndrome (MetS), its components, serum uric acid (SUA) levels, and dementia risk.MethodsOur prospective study comprised 466,788 participants without pre-existing MetS from the UK Biobank. We confirmed dementia diagnoses based on the ICD-10 criteria (F00-03). To evaluate the dementia risk concerning MetS, its components, and SUA levels, we applied Cox proportional hazards models, while adjusting for demographic factors.ResultsOver a median follow-up of 12.7 years, we identified 6845 dementia cases. Individuals with MetS had a 25% higher risk of all-cause dementia (hazard ratio [HR] = 1.25, 95% confidence interval [CI] = 1.19-1.31). The risk increased with the number of MetS components including central obesity, dyslipidemia for high-density lipoprotein (HDL) cholesterol, hypertension, hyperglycemia, and dyslipidemia for triglycerides. Particularly for those with all five components (HR = 1.76, 95% CI = 1.51-2.04). Dyslipidemia for HDL cholesterol, hypertension, hyperglycemia, and dyslipidemia for triglycerides were independently associated with elevated dementia risk (p < 0.01). MetS was further linked to an increased risk of all-cause dementia (11%) and vascular dementia (VD, 50%) among individuals with SUA levels exceeding 400 μmol/L (all-cause dementia: HR = 1.11, 95% CI = 1.02-1.21; VD: HR = 1.50, 95% CI = 1.28-1.77).ConclusionsOur study provides robust evidence supporting the association between MetS, its components, and dementia risk. These findings emphasize the importance of considering MetS and SUA levels in assessing dementia risk, offering valuable insights for prevention and management strategies.</p>
10 Authors
- Tara SR Chen
- Ning-Ning Mi
- Hubert Yuenhei Lao
- Chen-Yu Wang
- Wai Leung Ambrose Lo
- Yu-Rong Mao
- Yan Tang
- Zhong Pei
- Jin-Qiu Yuan
- Dong-Feng Huang
1 Application
| Application ID | Title |
|---|---|
| 51671 | Metabolism syndrome and risk of cancer |
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