This study aims to investigate the relationship between balance and gait impairments, physical activity levels, and sleep status in individuals with Parkinson's disease (PD). Both motor and non-motor symptoms of PD significantly affect quality of life, yet these dimensions are often evaluated separately. By examining gait, balance, physical activity, and sleep parameters together and comparing patients with healthy individuals of similar age, the study seeks to clarify how these variables interact and whether observed impairments are disease-specific or related to natural aging. The findings are expected to contribute to a more comprehensive understanding of PD and support the development of more effective management strategies.
This study will be conducted between January 2026 and May 2026 and will include 34 participants aged 45-70 years: 17 individuals diagnosed with Parkinson's disease and 17 age-matched healthy individuals without neurodegenerative disease. Participants will be recruited from Biruni University Hospital and Biruni University. Gait analysis will be performed using Kinovea software by recording a 3-meter walk in the sagittal plane, allowing evaluation of parameters such as step length and arm swing. Physical activity will be assessed using a 2-Minute Walk Test monitored with a pulse oximeter to measure oxygen saturation and functional exercise capacity, as well as daily step counts recorded over one week using a wearable smart band (Honor Choice Band). Balance will be evaluated using the Mini-BESTest. Sleep status will be assessed objectively through the smart band, which records deep sleep, light sleep, REM sleep, and wakefulness, and subjectively using the Pittsburgh Sleep Quality Index. Participants will install the Wear Sync application on their smartphones to enable synchronization and collection of wearable device data.
Study Type
OBSERVATIONAL
Enrollment
34
Biruni University Hospital
Istanbul, Turkey (Türkiye)
RECRUITINGMini Balance Evaluation Systems Test (Mini-BESTest) Score
Dynamic balance performance assessed using the Mini Balance Evaluation Systems Test (Mini-BESTest). The Mini-BESTest is a 14-item clinical balance assessment tool with scores ranging from 0 to 28, where higher scores indicate better balance performance. The test evaluates anticipatory postural adjustments, reactive postural control, sensory orientation, and dynamic gait.
Time frame: Baseline (single assessment during study participation)
Kinovea-Based Gait Parameters (Step Length and Stride Length)
Gait performance assessed from a 3-meter walk recorded in the sagittal plane and analyzed using Kinovea software. Step length and stride length will be calculated using heel markers (right/left) placed on participants and tracked on video
Time frame: Baseline (single assessment during study participation)
2-Minute Walk Test (2MWT) Distance
Functional exercise capacity assessed using the 2-Minute Walk Test. Participants will walk for 2 minutes along a 30-meter walkway after a 30-minute rest period. Total distance walked will be recorded in meters. Heart rate and oxygen saturation will be monitored pre- and post-test using a pulse oximeter.
Time frame: Baseline (single assessment during study participation)
Daily Step Count (Wearable-Recorded Physical Activity)
Physical activity level measured as daily step count using a wearable smart band (Honor Choice Band). Participants will wear the device for 7 consecutive days during normal daily activities; step counts will be extracted via the Wear Sync application.
Time frame: 7 days (during one-week monitoring period)
Pittsburgh Sleep Quality Index (PSQI) Total Score
Subjective sleep quality assessed using the Pittsburgh Sleep Quality Index (PSQI), a 19-item questionnaire evaluating sleep quality over the previous month. Higher total scores indicate poorer sleep quality.
Time frame: Baseline (single assessment during study participation)
Wearable-Derived Sleep Parameters (Sleep Stages and Wake Time)
Objective sleep status measured using the Honor Choice Band, including duration of deep sleep, light sleep, REM sleep, and wake time/awake episodes as recorded automatically by the device and synchronized via the Wear Sync application.
Time frame: 7 days (during one-week monitoring period)
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