A 15-year bibliometric analysis of body mass index moderation in the management of Parkinson's disease

一项关于帕金森病管理中体重指数调节的15年文献计量分析

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Abstract

OBJECTIVE: Parkinson's disease (PD) is a chronic progressive neurodegenerative disorder characterized by worsening motor symptoms, that significantly impair patients' activities of daily living and quality of life. Emerging evidence indicates a correlation between body mass index (BMI) and PD progression and prognosis. However, few systematic bibliometric analysis has been conducted in this research field. This study aims to comprehensively investigate the clinical translation potential and research hotspots of BMI management in PD pathogenesis, treatment, and care through bibliometric approaches. METHODS: Publications related to BMI and PD research from 2010 to 2024 were retrieved from the Web of Science Core Collection. Bibliometric analysis was performed using "VOSviewer" "CiteSpace" and the R package "bibliometrix." RESULTS: A total of 588 publications from 267 journals were analyzed. Parkinsonism and Related Disorders ranked as the most productive journal with 33 publications. Analysis of regional research contributions indicates that the United States, China, and Italy demonstrate predominant scientific influence in this discipline. Among 3,707 contributing authors, Barichella M emerged as the most co-cited author, with research spanning PD-BMI correlation, nutritional management, and gut microbiota. Keyword cluster analysis (e.g., "weight gain" "weight loss" "body mass index" "nutritional management") highlighted metabolic alterations and nutritional interventions as research focal points, underscoring the role of BMI fluctuations in PD progression. CONCLUSION: This study presents the first systematic bibliometric summary of clinical translation research on BMI modulation in PD management. The findings enhance understanding of BMI's critical role in PD research, provide theoretical foundations for BMI-based interventions to delay disease progression and reduce mortality, and identify novel research directions to advance PD treatment toward a multidisciplinary collaborative model.

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