Falling upward with Parkinson's disease

Exploring Post-traumatic Growth in Parkinson's Disease: A Mixed Method Study

Post-traumatic growth (PTG) may favor the psychological adaptation to chronic illnesses. However, few studies investigated PTG in Parkinson's Disease (PD). This study aims to investigate PTG in patients with PD, by exploring disease-specific features and assessing its impact on distress, well-being, and quality of life. A mixed methodology with a convergent parallel design was used. 54 patients were classified according to their level of PTG (low PTG, medium PTG, and high PTG). PD patients with high PTG showed a more positive psychological adaptation and less distress when compared to patients with less PTG. Forty-nine patients were interviewed and their transcripts were analyzed using Thematic Analysis. The emerged themes confirmed the traditional dimensions of PTG model, but a specific theme connected to a new body awareness was identified. Patients with high PTG were more likely to report positive statements following PD diagnosis, particularly concerning spirituality and maintaining a good physical functioning. PTG presents peculiar characteristics in PD and it may favor a better psychological adjustment following the diagnosis.

Differentiating cognitive or motor dimensions associated with the perception of fall-related self-efficacy in Parkinson's disease

In Parkinson's disease (PD), concurrent declines in cognitive and motor domain function can severely limit an individual's ability to conduct daily tasks. Current diagnostic methods, however, lack precision in differentiating domain-specific contributions of cognitive or motor impairments based on a patients' clinical manifestation. Fear of falling (FOF) is a common clinical manifestation among the elderly, in which both cognitive and motor impairments can lead to significant barriers to a patients' physical and social activities. The present study evaluated whether a set of analytical and machine-learning approaches could be used to help delineate boundary conditions and separate cognitive and motor contributions to a patient's own perception of self-efficacy and FOF. Cognitive and motor clinical scores, in conjunction with FOF, were collected from 57 Parkinson's patients during a multi-center rehabilitation intervention trial. Statistical methodology was used to extract a subset of uncorrelated cognitive and motor components associated with cognitive and motor predictors, which were then used to independently identify and visualize cognitive and motor dimensions associated with FOF. We found that a central cognitive process, extracted from tests of executive, attentional, and visuoperceptive function, was a unique and significant independent cognitive predictor of FOF in PD. In addition, we provide evidence that the approaches described here may be used to computationally discern specific types of FOF based on separable cognitive or motor models. Our results are consistent with a contemporary model that the deterioration of a central cognitive mechanism that modulates self-efficacy also plays a critical role in FOF in PD.