Depression and posture in patients with Parkinson’s disease

Kim, Youkyung; Cheon, Sang-Myung; Youm, Changhong; Son, Moon; Kim, Jae Woo

doi:10.1016/j.gaitpost.2017.12.026

Cited by 24 publications

(11 citation statements)

References 29 publications

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“…Depression is coupled with axial motor symptoms in PD and appears more frequently in a form with pronounced postural instability and gait disorders [46,47]. A recent study has demonstrated that patients with PD and comorbid depression exhibit differences in postural control compared to patients without depression, wherein the upright position depressive patients exhibit greater flexion in the pelvic area, causing leaning forward of the torso [48]. In our study, patients with PD and depression had significantly lower scores on the TBS, which suggests that depression could additionally impair balance and contribute to falls.…”

Section: Discussionmentioning

confidence: 99%

Impact of depression on gait variability in Parkinson’s disease

Dragašević-Mišković

Bobić

Kostić

et al. 2021

Clinical Neurology and Neurosurgery

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The goal of this study was to analyze how depression associated with Parkinson's disease (PD) affected gait variability in these patients using a dual-task paradigm. Additionally, the dependency of the executive functions and the impact of depression on gait variability were analyzed. Patients and Methods: Three subject groups were included: patients with PD, but no depression (PD-NonDep; 14 patients), patients with both PD and depression (PD-Dep; 16 patients) and healthy controls (HC; 15 subjects). Gait was recorded using the wireless sensors. The participants walked under four conditions: single-task, motor dual-task, cognitive dual-task, and combined dual-task. Variability of stride length, stride duration, and swing time was calculated and analyzed using the statistical methods. Results: Variability of stride duration and stride length were not significantly different between PD-Dep and PD-NonDep patients. The linear mixed model showed that swing time variability was statistically significantly higher in PD-Dep patients compared to controls (p = 0.001). Hamilton Disease Rating Scale scores were significantly correlated with the swing time variability (p = 0.01). Variability of all three parameters of gait was significantly higher while performing combined or cognitive task and this effect was more pronounced in PD-Dep group of patients. Conclusions: Depression in PD was associated with swing time variability, and this effect was more prominent while performing a dual-task. Significance: Diagnosing and treating depression might be important for gait improvement and fall reduction in PD patients.

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Section: Discussionmentioning

confidence: 99%

Impact of depression on gait variability in Parkinson’s disease

Dragašević-Mišković

Bobić

Kostić

et al. 2021

Clinical Neurology and Neurosurgery

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“…It has been well recognized that patients with PD are often inflicted by depression or psychological commodities [ 34 – 36 ] because tremor, rigidity, bradykinesia, and/or postural instability impair daily activities as well as emotional state [ 37 , 38 ]. Deficits in hand dexterity may limit or restrict the individual's capacity to complete basic life tasks, such as writing [ 39 ], personal hygiene [ 40 ], eating with chopsticks, and dressing.…”

Section: Discussionmentioning

confidence: 99%

Wuqinxi Exercise Improves Hand Dexterity in Patients with Parkinson’s Disease

Wang

Xiao

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Objective. This study was designed to evaluate the effect of Wuqinxi after one session and 12-week intervention on hand dexterity in patients with Parkinson’s disease (PD). Methods. Forty-six elderly participants with mild-to-moderate PD were randomly assigned to the groups trained with Wuqinxi (n = 23) or stretching (n = 23). All participants practiced 60 min session of either of these exercises, 2 sessions a week for 12 weeks in standing position. The score of Purdue Pegboard Test (PPT) and time for Soda Pop Test (SPT) were performed to assess hand dexterity and motor function along assessing the 39 items of Parkinson’s Disease Questionnaire before and after 12-week interventions. In addition, the PPT scores were compared before vs. after one session of either of these two exercise modes. Results. Single session with either Wuqinxi or stretching exercise tended to improve PPT scores in PD patients. Furthermore, the improved SPT time was significant ( P < 0.01 ) following 12-week training interventions with Wuqinxi (−1.32 ± 0.38 sec) or stretching (−0.89 ± 0.16 sec), which showed no group difference ( P = 0.734 ). However, only the participants in Wuqinxi group significantly improved the PPT scores of the dominant hand (+0.61 ± 1.34), both hand (+1.83 ± 3.13) and assemble (+2.04 ± 3.44) performance after 12-week training intervention. In parallel with improved hand dexterity and motor function, 12-week Wuqinxi training also significantly improved the patient’s emotional wellbeing. Conclusion. The Wuqinxi intervention could be safely and effectively applied to improve hand dexterity following single-session exercise or 12-week training, which were accompanied by improved quality of life in patients with mild-to-moderate PD.

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“…Montgomery-Åsberg Depression Rating Scale: The MADRS is a 10-item clinician administered scale for the measurement of MDD with validated clinical cut points for severe (>34), moderate (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34), mild (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19), and asymptomatic (<7) depression. The MADRS has demonstrated validity as a sensitive measure of ADT response (31).…”

Section: Assessments Clinical Assessmentmentioning

confidence: 99%

“…A number of visual and auditory characteristics that correspond to known MDD symptoms can now be directly quantified. This includes reduced gross motor activity (16), slumped posture (17), reduced head movement variability (17)(18)(19), reduced facial expressivity (20), reduced speech production (21), and increased negative affect (22,23). The automated measurement of these clinical features introduces the possibility of objective automated assessment.…”

Section: Introductionmentioning

confidence: 99%

Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study

Abbas

Sauder²,

Yadav

et al. 2021

Front. Digit. Health

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Objectives: Multiple machine learning-based visual and auditory digital markers have demonstrated associations between major depressive disorder (MDD) status and severity. The current study examines if such measurements can quantify response to antidepressant treatment (ADT) with selective serotonin reuptake inhibitors (SSRIs) and serotonin–norepinephrine uptake inhibitors (SNRIs).Methods: Visual and auditory markers were acquired through an automated smartphone task that measures facial, vocal, and head movement characteristics across 4 weeks of treatment (with time points at baseline, 2 weeks, and 4 weeks) on ADT (n = 18). MDD diagnosis was confirmed using the Mini-International Neuropsychiatric Interview (MINI), and the Montgomery–Åsberg Depression Rating Scale (MADRS) was collected concordantly to assess changes in MDD severity.Results: Patient responses to ADT demonstrated clinically and statistically significant changes in the MADRS [F(2, 34) = 51.62, p < 0.0001]. Additionally, patients demonstrated significant increases in multiple digital markers including facial expressivity, head movement, and amount of speech. Finally, patients demonstrated significantly decreased frequency of fear and anger facial expressions.Conclusion: Digital markers associated with MDD demonstrate validity as measures of treatment response.

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Depression and posture in patients with Parkinson’s disease

Cited by 24 publications

References 29 publications

Impact of depression on gait variability in Parkinson’s disease

Impact of depression on gait variability in Parkinson’s disease

Wuqinxi Exercise Improves Hand Dexterity in Patients with Parkinson’s Disease

Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study

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