Volume 8, Issue 1 (Continuously Updated 2025)
Func Disabil J 2025, 8(1): 0-0 |
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Haj Ghani J, Taghizadeh G, Azad A, Habibi S A H. Predictors of Occupational Adaptation in Individuals With Parkinson’s Disease. Func Disabil J 2025; 8 (1)
URL: http://fdj.iums.ac.ir/article-1-296-en.html
URL: http://fdj.iums.ac.ir/article-1-296-en.html
1- Department of Occupational Therapy, School of Rehabilitation Sciences, Rehabilitation Research Center, Iran University of Medical Sciences, Tehran, Iran.
2- Department of Occupational Therapy, School of Rehabilitation Sciences, Rehabilitation Research Center, Iran University of Medical Sciences, Tehran, Iran. ,taghizadeh.gh@iums.ac.ir
3- Department of Neurology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
2- Department of Occupational Therapy, School of Rehabilitation Sciences, Rehabilitation Research Center, Iran University of Medical Sciences, Tehran, Iran. ,
3- Department of Neurology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Abstract: (143 Views)
Background and Objectives: The evaluation of occupational adaptation in individuals diagnosed with Parkinson’s (PD) holds substantial significance. This assessment is essential for preserving independence, enhancing quality of life, and promoting well-being through engagement in meaningful daily activities. Consequently, this study aims to investigate predictive factors of occupational adaptation for individuals with PD.
Methods: This cross-sectional study included 100 participants with a mean age of 60.23±9.27 years. Participants were selected using a convenient non-probability sampling method for individuals diagnosed with PD. Patients were evaluated using a battery of validated measures, including the relative mastery scale, hospital anxiety and depression scale-depression (HADS-D), Tilburg Frailty indicator (TFI), Pittsburgh sleep quality index (PSQI), falls efficacy scale-international (FES-I), fatigue severity scale (FSS), Parkinson’s disease questionnaire-39 (PDQ-39), and Lille apathy rating scale (LARS). These instruments were selected to provide an in-depth assessment of the factors affecting occupational adaptation in PD.
Results: The regression models indicated that quality of life, frailty, apathy, and sleep quality accounted for 18%, 22.5%, 27.1%, and 29.7% of the variance in occupational adaptation, respectively. Quality of life emerged as the predominant predictor of occupational adaptation across all stepwise models.
Conclusion: The study identifies quality of life, frailty, apathy, and sleep quality as critical predictors, with quality of life recognized as the most influential factor affecting occupational adaptation. This understanding empowers healthcare professionals, researchers, and students to inspire them to formulate more effective interventions and strategies, thereby contributing to advancing the field.
Methods: This cross-sectional study included 100 participants with a mean age of 60.23±9.27 years. Participants were selected using a convenient non-probability sampling method for individuals diagnosed with PD. Patients were evaluated using a battery of validated measures, including the relative mastery scale, hospital anxiety and depression scale-depression (HADS-D), Tilburg Frailty indicator (TFI), Pittsburgh sleep quality index (PSQI), falls efficacy scale-international (FES-I), fatigue severity scale (FSS), Parkinson’s disease questionnaire-39 (PDQ-39), and Lille apathy rating scale (LARS). These instruments were selected to provide an in-depth assessment of the factors affecting occupational adaptation in PD.
Results: The regression models indicated that quality of life, frailty, apathy, and sleep quality accounted for 18%, 22.5%, 27.1%, and 29.7% of the variance in occupational adaptation, respectively. Quality of life emerged as the predominant predictor of occupational adaptation across all stepwise models.
Conclusion: The study identifies quality of life, frailty, apathy, and sleep quality as critical predictors, with quality of life recognized as the most influential factor affecting occupational adaptation. This understanding empowers healthcare professionals, researchers, and students to inspire them to formulate more effective interventions and strategies, thereby contributing to advancing the field.
Type of Study: Research |
Subject:
Occupational Therapy
Received: 2024/11/26 | Accepted: 2024/12/30 | Published: 2025/03/2
Received: 2024/11/26 | Accepted: 2024/12/30 | Published: 2025/03/2
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All the work in this journal are licensed under a Creative Commons
ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 4.0
INTERNATIONAL International License.