Relations between Fatigue and Work-related Factors in Workers

Eun Sook Jung; Nam Hyun Cha

doi:10.12799/jkachn.2011.22.4.420

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Jung and Cha: Relations between Fatigue and Work-related Factors in Workers

Original Article

Journal of Korean Academy of Community Health Nursing 2011; 22(4): 420-428.

Published online: 4 April 2014

DOI: https://doi.org/10.12799/jkachn.2011.22.4.420

Relations between Fatigue and Work-related Factors in Workers

Eun Sook Jung¹, Nam Hyun Cha²

¹Full-time Lecturer, Department of Nursing, Munkyung College, Korea.

²Assistant Professor, Department of Nursing, Kaya University, Korea.

Address reprint requests to: Cha, Nam Hyun, Department of Nursing, Kaya University, 208 Samgae-ro, Gimhea 621-748, Korea. Tel: 82-55-330-1141, Fax: 82-55-330-1142, yeoreo@daum.net

Received 18 October 2011 Revised 11 December 2011 Accepted 11 December 2011

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

The purpose of this study was to investigate the relations between fatigue and work-related factors in workers.

Methods

A total of 204 subjects aged between 21 and 59 were selected through convenient sampling. Data were collected with a self-reported questionnaire from May 20 to 31, 2011. Collected data were analyzed with SPSS/WIN 17.0.

Results

Difference in fatigue according to general characteristics was significant according to duty type. Difference in fatigue according to occupational characteristics was significant according to work intensity, work speed, demand of work concentration, work space, physical environment, largest weight by hands, vibration, visual demand of work, difficulty of work practice, work stress, and rest hours in holiday. There was a positive correlation between fatigue and occupational characteristics. Stepwise multiple regression analyses showed that educational level, work intensity, and rest hours in holiday were the strongest factors associated with fatigue (R²=.363 p<.001). These factors explained fatigue by 36.3%.

Conclusion

The findings of this study may be useful in understanding workers' fatigue and developing more specific fatigue relief programs.

Keywords: Manpower, Fatigue, Occupation

Figures and Tables

Table 1

Differences in Multidimensional Fatigue by General Characteristics (N=204)

Table 2

Differences in Multidimensional Fatigue by Occupational Characteristics (N=204)

Table 3

Correlations between Multidimensional Fatigue and General and Occupational Characteristics (N=204)

Table 4

Affected Factors on Fatigue and by Stepwise Multiple Regression Analysis (N=204)

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