ArticleFrontiers in neurology2024
Age and gender differences in non-motor symptoms in people with Parkinson's disease.
Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
- Non-pharmacological interventions for anxiety and depression in Parkinson's disease.The Cochrane database of systematic reviews · 2026Article
- Depression and anxiety among patients with Parkinson's disease: A cross-sectional study in a Saudi population.Medicine · 2026Article
- Sex-Specific Patterns of Taste Dysfunction, Their Relationships with α-Synuclein Profiling, and Supervised Learning-Based Diagnosis in Parkinson's Disease (PD).International journal of molecular sciences · 2026Article
- Spermidine Suppresses Peripheral Inflammation and Alleviates Non-Motor Symptoms in the 6-OHDA-Induced Rat Model of Parkinson's Disease.Molecules (Basel, Switzerland) · 2026Article
- Sex differences in the severity of non-motor symptoms in Parkinson's disease: a systematic review and meta-analysis.NPJ Parkinson's disease · 2026Article
- Characterization of motor and non-motor features associated with bilateral nigral degeneration due to A53T alpha-synuclein in female rats.Scientific reports · 2026Article
- Sex-related differences in phenotype and nigro-striatal degeneration of c-relBiology of sex differences · 2025Article
- Altered habenular and whole brain functional connectivity in early Parkinson's disease using 7 T MRI.NPJ Parkinson's disease · 2025Article
- Demographic and Clinical Profiles of Parkinson's Disease in India: Observations from a Nation-Wide Multicenter Study.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- The Role of Cognitive Reserve in Coping with Subjective Cognitive Complaints: An Exploratory Study of People with Parkinson's Disease (PwPD).Brain sciences · 2025Article
- Sex Differences in Parkinson's Disease: A Narrative Review.Neurology and therapy · 2025Review
- Sex-dependent alterations of salivary microbiome in Parkinson's disease: associations with motor and non-motor clinical phenotypes.Frontiers in molecular biosciences · 2025Article
- Affective phenotypes in heterozygousFrontiers in genetics · 2025Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-motor symptoms of Parkinson's disease (PD) are highly prevalent and heterogenic. Previous studies aimed to gain more insight on this heterogeneity by investigating age and gender differences in non-motor symptom severity, but findings were inconsistent. Furthermore, besides examining the single effects of age and gender, the interaction between them in relation to non-motor functioning has -as far as we know- not been investigated before. Objectives: To investigate the association of age and gender identity -as well as the interaction between age and gender identity- with non-motor symptoms and their impact on quality of life. Methods: We combined three large and independent studies. This approach resulted in a total number of unique participants of 1,509. We used linear regression models to assess the association of age and gender identity, and their interaction, with non-motor symptoms and their impact on quality of life. Results: Older people with PD generally had worse cognitive functioning, worse autonomic functioning and worse quality of life. Women with PD generally experienced more anxiety, worse autonomic functioning and worse quality of life compared to men with PD, whereas men with PD generally had worse cognitive functioning. In interaction analyses by age and gender identity, depressive symptoms and anxiety were disproportionally worse with increasing age in women compared to men. Conclusion: Our findings indicate that both age and gender -as well as their interaction- are differentially associated with non-motor symptoms of PD. Both research and clinical practice should pay more attention to demographic subgroups differences and possible different treatment approaches with respect to age and gender. We showed how combining datasets is of added value in this kind of analyses and encourage others to use similar approaches.
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