The Effects of industrial workers' food choice attribute on sugar intake pattern and job satisfaction with Structural Equcation Model.
10.4162/nrp.2016.10.4.464
- Author:
Young Il PARK
1
;
Nami JOO
Author Information
1. Department of Food and Nutrition, Sookmyung Women's University, Chungpa-ro 47-gil, Yongsan-gu, Seoul 04310, Korea. namij@sookmyung.ac.kr
- Publication Type:Original Article
- Keywords:
Industrial workers;
SEM;
job satisfaction;
sugar intake;
food choice
- MeSH:
Candy;
Dairy Products;
Job Satisfaction*
- From:Nutrition Research and Practice
2016;10(4):464-470
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND/OBJECTIVES: This research analyzes the effects of the food choices of industrial workers according to their sugar intake pattern on their job satisfaction through the construction of a model on the relationship between sugar intake pattern and job satisfaction. SUBJECTS/METHODS: Surveys were collected from May to July 2015. A statistical analysis of the 775 surveys from Kyungsangnam-do was conducted using SPSS13.0 for Windows and SEM was performed using the AMOS 5.0 statistics package. RESULTS: The reliability of the data was confirmed by an exploratory factor analysis through a Cronbach's alpha coefficient, and the measurement model was proven to be appropriate by a confirmatory factor analysis in conjunction with AMOS. The results of factor analysis on food choice, sugar intake pattern and job satisfaction were categorized into five categories. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all factors except confection (0.516) and dairy products (0.570). The multicollinearity results did not indicate a problem between the variables since the highest correlation coefficient was 0.494 (P < 0.01). In an attempt to study the sugar intake pattern in accordance with the food choices and job satisfaction of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests confirmed that the model satisfied the recommended levels for the goodness of fit index, and thus, the overall research model was proven to be appropriate.
