Maria I Maraki1,2, Leonidas Stefanis3,4, Mary Yannakoulia1, Mary H Kosmidis5, Georgia Xiromerisiou6, Efthimios Dardiotis6, Georgios M Hadjigeorgiou6,7, Paraskevi Sakka8, Nikolaos Scarmeas3,9, Maria Stamelou3,10. 1. Department of Nutrition and Dietetics, Harokopio University, Athens, Greece. 2. Section of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece. 3. 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece. 4. Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece. 5. Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece. 6. School of Medicine, University of Thessaly, Larissa, Greece. 7. Department of Neurology, Medical School, University of Cyprus, Cyprus, Greece. 8. Athens Association of Alzheimer's Disease and Related Disorders, Marousi, Greece. 9. Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, USA. 10. Parkinson's Disease and Movement Disorders Department, Hygeia Hospital, Athens, Greece.
Abstract
BACKGROUND: Identification and characterization of Parkinson's disease (PD) in its prodromal stage is crucial. OBJECTIVE: The objective of this study was to investigate the association between motor function and the probability of prodromal PD in a community-dwelling older population. METHODS: We used data from a population-based cohort of older adults (HELIAD study). Subjective motor function was evaluated with a 12-item motor symptoms questionnaire and objective motor function indirectly with a physical activity questionnaire and two gait speed tests. The probability of prodromal PD was calculated according to the Movement Disorder Society research criteria for n = 1731 without PD. Regression multiadjusted models were used to investigate the associations between each motor measure and prodromal PD probability. RESULTS: For each unit increase in motor symptoms score and for each kcal/kg/day lower energy expenditure (corresponding to 20 minutes of light walking/day for a 75-kg man) there was a 27% and 3% higher probability for prodromal PD, respectively (P < 0.001). Having at least one subjective motor symptom increased the odds of having possible/probable prodromal PD (n = 49; P < 0.05). Including subjective and indirect motor variables in the same model showed that both (symptoms and physical activity) contributed significantly to the model (P < 0.01). Excluding subthreshold parkinsonism from the calculation showed that gait speed less than 0.8 m/s was also associated with a higher prodromal PD probability score (P < 0.001). CONCLUSIONS: Subjective motor symptoms as well as simple objective motor measures of physical activity or gait speed are associated with a higher probability of prodromal PD in older adults. These data may serve to enable the early identification of prodromal PD cohorts, particularly if they are confirmed in longitudinal studies.
BACKGROUND: Identification and characterization of Parkinson's disease (PD) in its prodromal stage is crucial. OBJECTIVE: The objective of this study was to investigate the association between motor function and the probability of prodromal PD in a community-dwelling older population. METHODS: We used data from a population-based cohort of older adults (HELIAD study). Subjective motor function was evaluated with a 12-item motor symptoms questionnaire and objective motor function indirectly with a physical activity questionnaire and two gait speed tests. The probability of prodromal PD was calculated according to the Movement Disorder Society research criteria for n = 1731 without PD. Regression multiadjusted models were used to investigate the associations between each motor measure and prodromal PD probability. RESULTS: For each unit increase in motor symptoms score and for each kcal/kg/day lower energy expenditure (corresponding to 20 minutes of light walking/day for a 75-kg man) there was a 27% and 3% higher probability for prodromal PD, respectively (P < 0.001). Having at least one subjective motor symptom increased the odds of having possible/probable prodromal PD (n = 49; P < 0.05). Including subjective and indirect motor variables in the same model showed that both (symptoms and physical activity) contributed significantly to the model (P < 0.01). Excluding subthreshold parkinsonism from the calculation showed that gait speed less than 0.8 m/s was also associated with a higher prodromal PD probability score (P < 0.001). CONCLUSIONS: Subjective motor symptoms as well as simple objective motor measures of physical activity or gait speed are associated with a higher probability of prodromal PD in older adults. These data may serve to enable the early identification of prodromal PD cohorts, particularly if they are confirmed in longitudinal studies.
Authors: Maria I Maraki; Alexandros Hatzimanolis; Niki Mourtzi; Leonidas Stefanis; Mary Yannakoulia; Mary H Kosmidis; Efthimios Dardiotis; Georgios M Hadjigeorgiou; Paraskevi Sakka; Alfredo Ramirez; Benjamin Grenier-Boley; Jean-Charles Lambert; Stefanie Heilmann-Heimbach; Maria Stamelou; Nikolaos Scarmeas; Georgia Xiromerisiou Journal: Front Mol Neurosci Date: 2021-12-21 Impact factor: 5.639