Effectiveness of Video Assisted Training Program on low back pain and functional disability among housekeeping employees in selected educational institutions in Bengaluru
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.12.03Keywords:
Effectiveness, Low back pain, Functional disability, Housekeeping employees, Video assisted trainingDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Low back pain (LBP) is a wide spread musculoskeletal condition that impacts a large proportion of global workforce significantly limiting their work productivity, and quality of life. Repetitive movements and frequent heavy lifting, often performed in awkward or incorrect body postures contribute to an increased risk for developing low back pain among housekeeping employees. The current study aimed to evaluate the effectiveness of a video-assisted training program in reducing low back pain and improving functional capacity among housekeeping employees. One group pretest post-test design quasi-experimental design was used and 30house keeping employees were selected by non-probability purposive sampling. Baseline characteristics, pre-test measure of pain at lower back and functional disability was collected using demographic Performa, Quadruple visual analogue pain scale and Oswestry disability index scale. After the pretest, video assisted training program on exercises such as stretching, back strengthening and core strengthening was administered for 5 weeks and post-test was measured after 5 weeks. The mean pre-test pain score (26 ± 1.31) was decreased to 22.67 ± 0.76 on post-test and this reduction was statistically significant (t29 = 10.561, p = 0.001). Similarly functional disability scores were reduced from 13 ± 3.71 to 10.37 ± 0.96 on post - test (t29 = 3.989, p = 0.001). The study also revealed a substantial positive association between pain at lower back and functional impairment among housekeeping employees (r = 0.672, p = 0.001). The study findings highlight the need for integrating a combination of visual educational tools and exercise program at workplace to enhance the health outcomes of employees in physically demanding jobs to build a healthy and resilient workforce.Abstract
How to Cite
Downloads
Similar Articles
- Rohit Chettri, Prem Kumar N, Renoprotective effect of flavonoids in type-2 diabetes mediated-nephropathy in Wistar rats , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Mithun Vinayaka Kulkarni, Vijayanand M, Syed Mudassir, Said Bakhit Ali Bakhit Tabook, Mohammed Hassan Abdullah Al-Hafeedh, An overview of wastepaper and carton recycling in Oman , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- G. Vijayalakshmi, M. V. Srinath, Student’s Academic Performance Improvement Using Adaptive Ensemble Learning Method , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Z.D. Lalhmangaihzuali, Neha Dubey, Digital Health, Technology and Innovation in Nutrition Monitoring in Lunglei District, Mizoram , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- Manish K. Srivastava, Nidhi Kesari, Trust in Advertising: A Study of Indian Youth , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Farheen Najma B, Faseeha Begum, Resistance to digital banking by senior citizens in India - A review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Saumya Trivedi, Amit Sinha, Satyendra P. Singh, Ramya Singh, A study on factors influencing lending decisions for MSMEs by scheduled commercial banks in the CGTSME scheme , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Hemalatha, N. Vanjulavalli, K. Sujith, R. Surendiran, Chaotic-based optimization, based feature selection with shallow neural network technique for effective identification of intrusion detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Vishakha Khambhati, Rajan Kumar Singh, Assessment of Respiratory Dynamics from ECG during Physical Exertion , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.

