Exploring Vocal Challenges In Individuals With Parkinson's Disease: Insights From The Social And Family Sphere

Main Article Content

Sudhair Abbas Bangash
Darlington David Faijue
Dr. Syed Sikandar Shah
Sana Ahmad
Iliya Petkov
Dr.E.N.Ganesh

Abstract

Background: Parkinson's disease (PD) is a multifaceted neurodegenerative condition manifesting in adulthood, characterized by a spectrum of motor and non-motor symptoms. The alteration in the voice of individuals with PD can significantly impact their communication dynamics with the surrounding environment, influencing the perceptions of those around them.


Objective: This study aims to assess the perception of vocal difficulties in individuals with Parkinson's disease from the perspective of their socio-family environment.


Methodology: A cross-sectional descriptive observational study was conducted involving 17 relatives of individuals with Parkinson's disease, comprising family members and friends acting as primary caregivers in the city of Lahore. Data were collected through in-person surveys, utilizing an adapted version of the VHI-30 questionnaire.


Results: Of the participants, 71.2% were aged over 40, with 76.5% being women, and spending more than 5 hours daily with their family members afflicted by PD. A significant 76.4% acknowledged a specific impact related to vocal difficulties in their PD-affected family member, considering functional, physical, and emotional criteria. Within this group, 29.4% reported mild to moderate difficulties, while 47% reported severe to very severe difficulties.


Conclusion: Family members and caregivers exhibit varying degrees of perception regarding the vocal challenges faced by individuals with Parkinson's disease. Recognizing the impact on functional, physical, and emotional aspects is crucial. Inclusive therapeutic interventions that involve the socio-family environment are essential for effectively addressing the challenges posed by the disease.

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How to Cite
Sudhair Abbas Bangash, Darlington David Faijue, Dr. Syed Sikandar Shah, Sana Ahmad, Iliya Petkov, & Dr.E.N.Ganesh. (2024). Exploring Vocal Challenges In Individuals With Parkinson’s Disease: Insights From The Social And Family Sphere. Journal of Advanced Zoology, 45(S2), 269–276. https://doi.org/10.53555/jaz.v45iS2.3987
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Articles
Author Biographies

Sudhair Abbas Bangash

Faculty of Life Science, Department of Pharmacy, Sarhad University of Science and Information Technology, Peshawar, Pakistan, 

Darlington David Faijue

Aceso Global Health Consultant, Department of Health and Sports Sciences, University of Suffolk, United Kingdom

Dr. Syed Sikandar Shah

Assistant Professor, Department of Clinical Pharmacy and Pharmacology, RAK College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, UAE, 

Sana Ahmad

MBBS, Sub Investigator and Study Coordinator- research, Time Organization- Baltimore KMCH, India,

Iliya Petkov

Sofia Medical University, Department of Neurology, Bulgaria, 

Dr.E.N.Ganesh

Research and Development, Department of ECE, SPIHER Chennai, India

References

Almutawa, D., Lagos-Villaseca, A., Albathi, M., Martignetti, L., Masuda, M., Zhu, N., . . . Kost, K. M. (2024). Geriatric Voice: Distinctive Clinical Profiles of Working Seniors in a Tertiary Laryngology Clinic. Journal of Voice.

Amuthan, N., Jyothi, M., & Samy, B. G. (2024). Design of Circuits for Various Cognitive Diseases Using Various Cognitive Predictive Maintenance Tools Cognitive Predictive Maintenance Tools for Brain Diseases (pp. 126-137): Chapman and Hall/CRC.

Auccahuasi, W., Astocondor, J., Herrera, L., Rojas, K., Cuzcano, A., Neglia, E., . . . Meza, J. (2024). Low-Cost Biomechanical System for the Evaluation of Parkinson's. SN Computer Science, 5(1), 168.

Bartolomeu Pires, S., Kunkel, D., Kipps, C., Goodwin, N., & Portillo, M. C. (2024). Person‐centred integrated care for people living with Parkinson's, Huntington's and Multiple Sclerosis: A systematic review. Health Expectations, 27(1), e13948.

Bayés, A., & Hernandez-Vara, J. (2024). Management of Parkinson’s Disease: Challenges and Solutions. A Holter for Parkinson’s Disease Motor Symptoms, 1.

Beauchamp, J. E., Wang, M., Novelo, L. G. L., Cox, C., Meyer, T., Fagundes, C., . . . Johnson, C. (2024). Feasibility and user-experience of a virtual environment for social connection and education after stroke: A pilot study. Journal of Stroke and Cerebrovascular Diseases, 33(2), 107515.

Çetin, B., Kılınç, M., & Çakmaklı, G. Y. (2024). The effects of exergames on upper extremity performance, trunk mobility, gait, balance, and cognition in Parkinson’s disease: a randomized controlled study. Acta Neurologica Belgica, 1-11.

Chen, X., & Sidits, D. (2024). Contrastive stress in persons with Parkinson's disease who speak Mandarin: Task effect in production and preserved perception. Journal of Neurolinguistics, 69, 101173.

de Graaf, D., Araújo, R., Derksen, M., Zwinderman, K., de Vries, N. M., IntHout, J., & Bloem, B. R. (2024). The sound of Parkinson's disease: A model of audible bradykinesia. Parkinsonism & Related Disorders, 106003.

Garg, H., Rutherfurd, C., Labrum, J., Hawley, B., Gard, E., & Davis, J. (2024). Feasibility, Outcomes, and Perceptions of a Virtual Group Exercise Program in Multiple Sclerosis. Journal of Neurologic Physical Therapy, 48(1), 54-63.

Jiang, Z., Huang, X., Wang, Z., Liu, Y., Huang, L., & Luo, X. (2024). Embodied Conversational Agents for Chronic Diseases: Scoping Review. Journal of Medical Internet Research, 26, e47134.

Kaplan, A., Barkan-Slater, S., Zlotnik, Y., & Levy-Tzedek, S. (2024). Robotic technology for Parkinson's disease: Needs, attitudes and concerns of individuals with Parkinson's disease and their family members. A focus group study. International Journal of Human-Computer Studies, 181, 103148.

Kapoor, D., Sharma, D., Sharma, J., Sahu, D., & Gupta, M. M. (2024). Nutraceuticals in the management of Parkinson’s disease and dementia Nutraceutical Fruits and Foods for Neurodegenerative Disorders (pp. 441-466): Elsevier.

Karande, S., & Kulkarni, V. (2024). Advancing Neurodegenerative Disorder Diagnosis: A Machine Learning-Driven Evaluation of Assessment Modalities. International Journal of Intelligent Systems and Applications in Engineering, 12(5s), 309-323.

Kluger, B. M., Katz, M., Galifianakis, N. B., Pantilat, S. Z., Hauser, J. M., Khan, R., . . . Long, S. J. (2024). Patient and Family Outcomes of Community Neurologist Palliative Education and Telehealth Support in Parkinson Disease. JAMA neurology, 81(1), 39-49.

Liu, X., Huang, C., Zhu, H., Wang, Z., Li, J., & Cangelosi, A. (2024). State-of-the-Art Elderly Service Robot: Environmental Perception, Compliance Control, Intention Recognition, and Research Challenges. IEEE Systems, Man, and Cybernetics Magazine, 10(1), 2-16.

Lopez-Soto, T. (2024). Analyzing the Dynamics Between Theory of Mind, Speech Disorders, and Brain Rewiring in Aphasia The Theory of Mind Under Scrutiny: Psychopathology, Neuroscience, Philosophy of Mind and Artificial Intelligence (pp. 281-325): Springer.

MARTÍN‐PALOMO, M. T., GONZÁLEZ‐CALO, I., Lucchetti, G., & Badanta, B. (2024). Experiences of health and social professionals using care technologies with older adults during the COVID‐19 pandemic: A qualitative study. Public Health Nursing, 41(1), 101-111.

O'Connor, K. (2024). Stories of people with dementia who experience word-finding difficulties. University of East London.

Pendl, D., Glatz, M., & Gasteiger‐Klicpera, B. (2024). Intellectual disabilities and dementia: New tasks and experiences of Austrian formal caregivers. Journal of Applied Research in Intellectual Disabilities, 37(1), e13165.

Pham, T. D., Holmes, S. B., Zou, L., Patel, M., & Coulthard, P. (2024). Diagnosis of pathological speech with streamlined features for long short-term memory learning. Computers in Biology and Medicine, 107976.

Pragadeeswaran, S., & Kannimuthu, S. (2024). An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson’s disease diagnosis using speech dataset. Biomedical Signal Processing and Control, 87, 105467.

Rahman, W., Abdelkader, A., Lee, S., Yang, P., Islam, M. S., Adnan, T., . . . Dorsey, E. R. (2024). A User-Centered Framework to Empower People with Parkinson's Disease. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(4), 1-29.

Ramati, I. (2024). Algorithmic Ventriloquism: The Contested State of Voice in AI Speech Generators. Social Media+ Society, 10(1), 20563051231224401.

Roche, L., & Longacre, M. (2024). Nonpharmacological interventions in dementia and diversity of samples: A scoping review. Geriatric Nursing, 55, 311-326.

Sahoo, S., & Choudhury, B. (2024). Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review. Journal of Future Sustainability, 4(3), 133-148.

Shah-Zamora, D., Anderson, S., Barton, B., & Fleisher, J. E. (2024). Virtual group music therapy for apathy in Parkinson’s Disease: a pilot study. Journal of Geriatric Psychiatry and Neurology, 37(1), 49-60.

Teo, J. L., Bird, S. R., Wang, X., & Zheng, Z. (2024). Using telehealth to deliver Qi Gong and Tai Chi programs: A mixed-methods systematic review on feasibility, acceptability and participant engagement factors. Archives of Gerontology and Geriatrics, 117, 105203.

Tueth, L. E., Haussler, A. M., Lohse, K. R., Rawson, K. S., Earhart, G. M., & Harrison, E. C. (2024). Effect of musical cues on gait in individuals with Parkinson's disease with comorbid dementia. Gait & Posture, 107, 275-280.

Xue, Z., Lu, H., Zhang, T., Guo, X., & Gao, L. (2024). Remote Parkinson's disease severity prediction based on causal game feature selection. Expert Systems with Applications, 241, 122690.

Zogaan, W. A., Nilashi, M., Ahmadi, H., Abumalloh, R. A., Alrizq, M., Abosaq, H., & Alghamdi, A. (2024). A combined method of optimized learning vector quantization and neuro-fuzzy techniques for predicting unified Parkinson's disease rating scale using vocal features. MethodsX, 102553.