Multiple regression model for predicting handgrip strength among adults in the aerospace manufacturing industry in Melaka

Rusli, Mohd Asyraf (2025) Multiple regression model for predicting handgrip strength among adults in the aerospace manufacturing industry in Melaka. Masters thesis, Universiti Teknikal Malaysia Melaka.

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Abstract

This study aims to develop a statistical model for predicting handgrip strength (HGS) among young adults working in the aerospace manufacturing industry in Melaka. HGS is a critical measure of overall muscle strength and functional capacity, directly influencing job performance and ergonomic safety in industrial settings. The research examines the relationship between HGS and various anthropometric and demographic variables, including gender, hand dimensions, and job-specific factors. A sample of 100 participants aged 20 to 40 years from diverse occupational roles such as warehouse, layup and mechanical assembly processes was analyzed to create a robust model tailored to the aerospace manufacturing sector. Key predictors were identified using a statistical technique for choosing the best predictors, and the model’s assumptions were validated through statistical assesment such as the multicollinearity, heteroscedasticity, and normality of residuals. The findings reveal significant correlations between HGS and predictors like gender, height, weight, and forearm circumference. The developed statistic model provides a practical tool for aligning HGS with job requirements, enhancing workplace safety, and mitigating risks of musculoskeletal disorders. This research contributes to the broader field of occupational health by offering an evidence-based approach to ergonomic intervention and workforce management.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Manufacturing processes -- Statistical methods, Manufacturing processes -- Data processing, Human engineering
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Divisions: Library > Tesis > FTKIP
Depositing User: Norhairol Khalid
Date Deposited: 18 Aug 2026 08:06
Last Modified: 18 Aug 2026 08:06
URI: http://eprints.utem.edu.my/id/eprint/30349
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