Association of metabolic syndrome and its components with Parkinson's disease: a cross-sectional study.

Background: The interrelation between metabolic syndrome (MetS) and Parkinson's disease (PD) likely arises from shared pathological mechanisms. This study thus aims to examine the impact of MetS and its components on PD. Methods: This study utilized data extracted from the National Health and Nutrit...

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Publicado en:BMC Endocrine Disorders Vol. 24; no. 1; pp. 1 - 9
Autores principales: Shi, Yue, Zhang, XueYi, Feng, Yue, Yue, ZongXiang
Formato: research tables/charts Journal Article
Publicado: BioMed Central 6/19/2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 6/19/2024
      vid: 24
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      pub: BioMed Central
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        10.1186/s12902-024-01623-3
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        atl: Association of metabolic syndrome and its components with Parkinson's disease: a cross-sectional study.
      aug:
        au:
          Shi, Yue
          Zhang, XueYi
          Feng, Yue
          Yue, ZongXiang
        affil: Chengdu University of Traditional Chinese Medicine, Chengdu, China
      sug:
        subj:
          Metabolic Syndrome X
          Parkinson Disease
          Human
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Descriptive Statistics
          Cross Sectional Studies
          Algorithms
          Triglycerides
          Lipoproteins, HDL Cholesterol
          Coffee
          Alcohol Drinking
          Hyperlipidemia
          Waist Circumference
          Multiple Logistic Regression
          Odds Ratio
          Confidence Intervals
          Hypertension
          Diabetes Mellitus
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Background: The interrelation between metabolic syndrome (MetS) and Parkinson's disease (PD) likely arises from shared pathological mechanisms. This study thus aims to examine the impact of MetS and its components on PD. Methods: This study utilized data extracted from the National Health and Nutrition Examination Survey database spanning 1999 to 2020. The random forest algorithm was applied to fill in the missing data. Propensity score optimal full matching was conducted. The data were adjusted by total weights derived from both sampling and matching weights. The weighted data were utilized to create multifactor logistic regression models. Odds ratios (ORs) and average marginal effects, along with their corresponding 95% confidence intervals (CIs), were calculated. Results: MetS did not significantly affect the risk of PD (OR: 1.01; 95% CI: 0.77, 1.34; P = 0.92). Hypertension elevated the risk of PD (OR: 1.33; 95% CI: 1.01, 1.76; P = 0.045), accompanied by a 0.26% increased probability of PD occurrence (95% CI: 0.01%, 0.52%; P = 0.04). Diabetes mellitus (DM) had a 1.38 times greater likelihood of developing PD (OR:1.38; 95% CI: 1.004, 1.89; P = 0.046), corresponding to a 0.32% increased probability of PD occurrence (95% CI: -0.03%, 0.67%; P = 0.07). Nevertheless, no correlation was observed between hyperlipidemia, waist circumference and PD. Conclusion: MetS does not affect PD; however, hypertension and DM significantly increase the risk of PD.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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