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Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 11
First page : ( 989) Last page : ( 997)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.01587.5

Factors affecting the quality of life of male workers according to the type of job

Kwon Myoung-Jin1, Ahn Sung-Yun2,*

1Assistant Professor, Dept. of Nursing, Daejeon University, Korea

2Assitant Professor, Dept. of Nursing, Pai Chai University, Korea

*Corresponding Author: Sung-Yun Ahn, Assistant Professor, Dept. of Nursing, Pai Chai University, Korea, Email: syahn@pcu.ac.kr

Online published on 7 December, 2018.

Abstract

Background/Objectives

The present study was conducted to investigate the factors affecting the quality of life of male workers according to the type of job.

Method/Statistical analysis

The present study used raw data from the 6th National Health and Nutrition Examination Survey (2015). The subjects were 1, 037 male office workers; service and sales workers; experts in agriculture, forestry, and fishing; technical workers; device-machine operators; and assembly workers. A composite sample analysis plan file was created using the IBM SPSS 23.0 program, then weighted and analyzed. The significance level was set at.05.

Findings

The factors affecting quality of life among the office workers included stress and subjective health, and their explanatory power was 34.5% (F = 2.03, p =.003). The factors affecting quality of life among service and sales workers included age, number of family members, subjective health, and continuous depression for more than two weeks, and their explanatory power was 36.3% (F = 2.10, p =.002). The factors affecting quality of life among experts in agriculture, forestry, and fishery included economic status, number of family members, hours of sleep, presence or absence of diabetes mellitus, time spent sitting per day, and subjective health; their explaining power was 41.7% (F = 61.46, p <.001). The factors affecting quality of life among technical workers, device-machine operators, and assembly workers included economic status, education level, rate of aerobic physical activity practice, time spent sitting per day, and subjective health status; their explanatory power was 26.3% (F = 2.87, p <.001).

Improvements/Applications

Therefore, in order to improve the quality of life, interventions that take into account different influencing factors depending on occupation are required.

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Keywords

Quality of Life (QOL), Male Workers, Type of Job, NHANES, Subjective Health Status.

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