Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier
Abstract Motor outcomes in Parkinson’s disease (PD) have long been the primary diagnostic criteria and treatment targets. While non-motor outcomes of PD impact daily well-being, they are rarely targeted by interventions or utilized for classification. Despite promising evidence, the contributions of...
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-12787-w |
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| author | Júlia Schönfeldová Chen Cohen Ortal Otmazgin William Saban |
| author_facet | Júlia Schönfeldová Chen Cohen Ortal Otmazgin William Saban |
| author_sort | Júlia Schönfeldová |
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| description | Abstract Motor outcomes in Parkinson’s disease (PD) have long been the primary diagnostic criteria and treatment targets. While non-motor outcomes of PD impact daily well-being, they are rarely targeted by interventions or utilized for classification. Despite promising evidence, the contributions of perceived social support (PSS) to PD detection and well-being in real-world settings remain unclear. Using remote monitoring technologies, we investigated the relationship between PSS and three non-motor measures—cognition, anxiety, and depression—in 92 participants: 45 PD and 47 matched-controls. To examine the specificity of PSS to non-motor features, we also examined the associations between PSS and three motor-related measures: disease severity, duration, or stage. Moreover, we developed machine-learning classifiers (ML) based on only non-motor features to identify disease status (PD/controls) in two cohorts: low and high PSS. PSS was significantly associated with non-motor measures in PD, with stronger correlations than in matched-controls in real-world settings. However, no significant correlations were found between PSS and the three motor-related measures, demonstrating PSS’s limitations. While the ML classification models performed low in high-PSS, they classified 13% better in a low-PSS cohort (AUC = 0.8), demonstrating moderate-high discriminatory performance. Taken together, our findings underscore the role of PSS in PD, highlighting its distinct contributions to non-motor classification models and the daily well-being of patients. |
| format | Article |
| id | doaj-art-af652c619d4f47fba4beffdb848e1814 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-af652c619d4f47fba4beffdb848e18142025-08-20T03:42:44ZengNature PortfolioScientific Reports2045-23222025-07-0115111110.1038/s41598-025-12787-wPerceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifierJúlia Schönfeldová0Chen Cohen1Ortal Otmazgin2William Saban3Center for Accessible Neuropsychology, Sagol School of Neuroscience, Tel Aviv UniversityCenter for Accessible Neuropsychology, Sagol School of Neuroscience, Tel Aviv UniversityCenter for Accessible Neuropsychology, Sagol School of Neuroscience, Tel Aviv UniversityCenter for Accessible Neuropsychology, Sagol School of Neuroscience, Tel Aviv UniversityAbstract Motor outcomes in Parkinson’s disease (PD) have long been the primary diagnostic criteria and treatment targets. While non-motor outcomes of PD impact daily well-being, they are rarely targeted by interventions or utilized for classification. Despite promising evidence, the contributions of perceived social support (PSS) to PD detection and well-being in real-world settings remain unclear. Using remote monitoring technologies, we investigated the relationship between PSS and three non-motor measures—cognition, anxiety, and depression—in 92 participants: 45 PD and 47 matched-controls. To examine the specificity of PSS to non-motor features, we also examined the associations between PSS and three motor-related measures: disease severity, duration, or stage. Moreover, we developed machine-learning classifiers (ML) based on only non-motor features to identify disease status (PD/controls) in two cohorts: low and high PSS. PSS was significantly associated with non-motor measures in PD, with stronger correlations than in matched-controls in real-world settings. However, no significant correlations were found between PSS and the three motor-related measures, demonstrating PSS’s limitations. While the ML classification models performed low in high-PSS, they classified 13% better in a low-PSS cohort (AUC = 0.8), demonstrating moderate-high discriminatory performance. Taken together, our findings underscore the role of PSS in PD, highlighting its distinct contributions to non-motor classification models and the daily well-being of patients.https://doi.org/10.1038/s41598-025-12787-wPerceived social supportParkinson’s diseaseCognitionDepressionAnxiety |
| spellingShingle | Júlia Schönfeldová Chen Cohen Ortal Otmazgin William Saban Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier Scientific Reports Perceived social support Parkinson’s disease Cognition Depression Anxiety |
| title | Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier |
| title_full | Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier |
| title_fullStr | Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier |
| title_full_unstemmed | Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier |
| title_short | Perceived social support in the daily life of people with Parkinson’s disease: a distinct role and potential classifier |
| title_sort | perceived social support in the daily life of people with parkinson s disease a distinct role and potential classifier |
| topic | Perceived social support Parkinson’s disease Cognition Depression Anxiety |
| url | https://doi.org/10.1038/s41598-025-12787-w |
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