ArticleScientific reports2025
Multidimensional factors of health-related quality of life in parkinson's disease using ensemble learning and network analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fear-related psychological experiences in people with Parkinson's disease: a systematic review of qualitative studies.BMC psychology · 2026Pooled it
- A comparative analysis of health-related and individual quality of life in people with Parkinson's disease.Frontiers in neurology · 2025Article
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7 authors.
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Abstract
Parkinson's disease (PD) causes motor, non-motor, and mental health challenges that significantly impact health-related quality of life (HRQoL); however, previous studies relied on subjective assessments. Several factors are associated with poor HRQoL, but the causal relationships remain unclear. Therefore, we aimed to identify key symptom factors of HRQoL and its subdomains in PD and examine the structure of their interaction networks. We assessed 101 individuals with PD in the ON-medication state. Key HRQoL factors were identified using a weighted ensemble of least absolute shrinkage and selection operator and extreme gradient boosting for feature selection, followed by stepwise multivariate linear regression. Network analysis was conducted to explore variable interrelations. The HRQoL total score was predicted by the Beck anxiety inventory, fall efficacy scale-Korean, Hoehn and Yahr scale, treatment duration, maximum jerk, and sample entropy, with an explanatory power of 65.7%. Regarding subdimensions, anxiety, fear of falling, and sample entropy of acceleration were key determinants. This study identifies key motor and non-motor factors of HRQoL in PD and reveals domain-specific networks. These findings may inform targeted interventions and clinical decision-making to improve HRQoL outcomes in people with PD.
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