Journal List > J Nutr Health > v.49(6) > 1081474

Yim, Heo, Jeong, and Lee: Effect of working patterns on eating habits in manufacturing workers of Gwangju area

Abstract

Purpose

This study was conducted to investigate and analyze the association between stress from shift and non-shift work as well as the effects living habits have on eating habits in order to identify why and how workers can improve their health and form proper eating habits for higher working efficiency.

Methods

The subjects of this study were 361 workers from K manufacturing company from April 7 to 11, 2014 and they were surveyed using a questionnaire. The subjects were divided into two groups according to working pattern: shift workers (n = 216) and non-shift workers (n = 110).

Results

In the general characteristics, there were significant differences in age, work career, work time, marriage, monthly income, and education levels between the two groups. For healthy behaviors, significant differences in subjective health status, moderate physical activity, drinking, smoking, and sleep time were observed between shift workers and non-shift workers. For eating habits, scores of non-shift workers having a regular mealtime, balanced meal composition, and vegetable and seaweed intakes were significantly higher than those of shift workers. The sum score of dietary habits in non-shift workers was also significantly lower than that in shift workers (p < 0.05). Total job stress score did not significantly differ between the two groups.

Conclusion

The sum of eating habit scores according to work types was 16.1 ± 0.6 in non-shift workers and 14.0 ± 0.3 in shift workers. These results suggest that it is necessary to provide food suitable to characteristics of different workers according to work type which should be provided along with daily nutrition counseling to help subjects recognize their status.

Figures and Tables

Table 1

General characteristic of subjects n (%)

jnh-49-495-i001

1) Means ± SD

**p < 0.01, ***p < 0.001

Table 2

Anthropometry investigation according to working pattern n (%)

jnh-49-495-i002

1) BMI (body mass index) = weight (kg)/height (m)2 2) Means ± SD

Table 3

Healthy behaviors according to working pattern n (%)

jnh-49-495-i003

*p < 0.05, **p < 0.01, ***p < 0.001

Table 4

Chronic diseases prevalence according to working pattern n (%)

jnh-49-495-i004

1) Means ± SD

***p < 0.001

Table 5

Characteristics of eating habits according to working pattern1)

jnh-49-495-i005

1) Adjusted by age, working period, mean working hours, educational level, monthly mean family income, subjective health awareness, intermediate physical activity status, drinking status, smoking status, and the first diagnostic period of dyslipidemia 2) Rated with a 3-point Likert scale: 1 = very undesirable, 3 = very desirable 3) Means ± SD

*p < 0.05, **p < 0.01, ***p < 0.001

Table 6

Caffeine intake according to working pattern1)

jnh-49-495-i006

1) Adjusted by age, working period, mean working hours, educational level, monthly mean family income, subjective health awareness, intermediate physical activity status, drinking status, smoking status, and the first diagnostic period of dyslipidemia 2) Ministry of Food and Drug Safety (2013)24 3) Means ± SD

Table 7

Job stress degree according to working pattern1)

jnh-49-495-i007

1) Adjusted by age, working period, mean working hours, educational level, monthly mean family income, subjective health awareness, intermediate physical activity status, drinking status, smoking status, and the first diagnostic period of dyslipidemia 2) Means ± SD

*p < 0.05, **p < 0.01, ***p < 0.001

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