Designing Individualized Exercise Plans for Chronic Lower Back Pain Management

Published Paper PDF: View PDF

DOI: https://doi.org/10.63345/ijrmp.v14.i10.2

Dr T. Aswini

KL University

Vadeshawaram, A.P., India

Abstract
Chronic lower back pain (CLBP) affects up to 20% of adults worldwide and represents a major source of disability, reduced work productivity, and diminished quality of life. Exercise therapy is a cornerstone of non-pharmacological management, yet “one-size-fits-all” programs often yield suboptimal outcomes due to the heterogeneity of patient presentations. This manuscript outlines a framework for designing truly individualized exercise plans for CLBP, integrating patient assessment, goal setting, exercise selection, progression criteria, and monitoring strategies. We synthesize evidence from randomized controlled trials, clinical guidelines, and cohort studies published between 2000 and 2025 to identify key predictors of treatment response—such as pain characteristics, functional limitations, psychosocial factors, and comorbidities—and map them to tailored exercise modalities (strengthening, flexibility, motor control, aerobic conditioning). Emphasis is placed on standardized baseline evaluations (e.g., Oswestry Disability Index, Fear-Avoidance Beliefs Questionnaire), shared decision-making, and iterative plan adjustments. Case examples illustrate how to translate assessment data into prescription parameters (mode, intensity, frequency, duration) and progression algorithms. Finally, we discuss the role of technology—wearable sensors and tele-coaching—in enhancing adherence and real-time feedback. By adopting this structured approach, clinicians and exercise specialists can optimize functional gains, reduce pain recurrence, and empower patients in self-management of CLBP.

Keywords
Chronic lower back pain, Exercise prescription, Individualized therapy, Patient assessment, Motor control, Strength training, Flexibility, Aerobic conditioning, Adherence, Tele-coaching

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Banoth, D. N., Jena, R., Vadlamani, S., Kumar, D. L., Goel, P. (Dr) P., & Singh, D. S. P. (2024). Performance Tuning in Power BI and SQL: Enhancing Query Efficiency and Data Load Times. Journal of Quantum Science and Technology (JQST), 1(3), Aug(165–183). Retrieved from https://jqst.org/index.php/j/article/view/113.
Subramanian, G., Chamarthy, S. S., Kumar, P. (Dr) S., Tirupati, K. K., Vashishtha, P. (Dr) S., & Prasad, P. (Dr) M. (2024). Innovating with Advanced Analytics: Unlocking Business Insights Through Data Modeling. Journal of Quantum Science and Technology (JQST), 1(4), Nov(170–189). Retrieved from https://jqst.org/index.php/j/article/view/106.
Subramanian, Gokul, Ashish Kumar, Om Goel, Archit Joshi, Prof. (Dr.) Arpit Jain, and Dr. Lalit Kumar. 2024. Operationalizing Data Products: Best Practices for Reducing Operational Costs on Cloud Platforms. International Journal of Worldwide Engineering Research 02(11): 16-33. https://doi.org/10.2584/1645.
Nusrat Shaheen, Sunny Jaiswal, Dr Umababu Chinta, Niharika Singh, Om Goel, Akshun Chhapola. (2024). Data Privacy in HR: Securing Employee Information in U.S. Enterprises using Oracle HCM Cloud. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 319–341. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/131.
Shaheen, N., Jaiswal, S., Mangal, A., Singh, D. S. P., Jain, S., & Agarwal, R. (2024). Enhancing Employee Experience and Organizational Growth through Self-Service Functionalities in Oracle HCM Cloud. Journal of Quantum Science and Technology (JQST), 1(3), Aug(247–264). Retrieved from https://jqst.org/index.php/j/article/view/119.
Nadarajah, Nalini, Sunil Gudavalli, Vamsee Krishna Ravi, Punit Goel, Akshun Chhapola, and Aman Shrivastav. 2024. Enhancing Process Maturity through SIPOC, FMEA, and HLPM Techniques in Multinational Corporations. International Journal of Enhanced Research in Science, Technology & Engineering 13(11):59.
Nalini Nadarajah, Priyank Mohan, Pranav Murthy, Om Goel, Prof. (Dr.) Arpit Jain, Dr. Lalit Kumar. (2024). Applying Six Sigma Methodologies for Operational Excellence in Large-Scale Organizations. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 340–360. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/141.
Nalini Nadarajah, Rakesh Jena, Ravi Kumar, Dr. Priya Pandey, Dr S P Singh, Prof. (Dr) Punit Goel. (2024). Impact of Automation in Streamlining Business Processes: A Case Study Approach. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 294–318. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/130.
Nadarajah, N., Ganipaneni, S., Chopra, P., Goel, O., Goel, P. (Dr) P., & Jain, P. A. (2024). Achieving Operational Efficiency through Lean and Six Sigma Tools in Invoice Processing. Journal of Quantum Science and Technology (JQST), 1(3), Apr(265–286). Retrieved from https://jqst.org/index.php/j/article/view/120.
Jaiswal, Sunny, Nusrat Shaheen, Pranav Murthy, Om Goel, Arpit Jain, and Lalit Kumar. 2024. Revolutionizing U.S. Talent Acquisition Using Oracle Recruiting Cloud for Economic Growth. International Journal of Enhanced Research in Science, Technology & Engineering 13(11):18.
Sunny Jaiswal, Nusrat Shaheen, Ravi Kumar, Dr. Priya Pandey, Dr S P Singh, Prof. (Dr) Punit Goel. (2024). Automating U.S. HR Operations with Fast Formulas: A Path to Economic Efficiency. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(3), 318–339. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/140.
Sunny Jaiswal, Nusrat Shaheen, Dr Umababu Chinta, Niharika Singh, Om Goel, Akshun Chhapola. (2024). Modernizing Workforce Structure Management to Drive Innovation in U.S. Organizations Using Oracle HCM Cloud. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 269–293. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/129.
Jaiswal, S., Shaheen, N., Mangal, A., Singh, D. S. P., Jain, S., & Agarwal, R. (2024). Transforming Performance Management Systems for Future-Proof Workforce Development in the U.S. Journal of Quantum Science and Technology (JQST), 1(3), Apr(287–304). Retrieved from https://jqst.org/index.php/j/article/view/121.