Journal of Nutrition and Health

The Korean Nutrition Society (한국영양학회)
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Factors associated with the dietary quality and nutrition status using the Nutrition Quotient for adults focusing on workers in the manufacturing industry

영양지수를 이용한 제조업 근로자의 영양상태 평가 및 관련 요인 연구

  • Yim, Ji Suk (Department of Food and Nutrition, Graduate School, Chonnam National University) ;
  • Heo, Young Ran (Department of Food and Nutrition, Graduate School, Chonnam National University)
  • 임지숙 (전남대학교 대학원 식품영양학과) ;
  • 허영란 (전남대학교 대학원 식품영양학과)
  • Received : 2020.08.02
  • Accepted : 2020.09.04
  • Published : 2020.10.31
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Abstract

Purpose: This study examined the factors influencing Nutrition Quotient for adults (NQ-A), focusing on workers in the manufacturing industry. Methods: The participants were 738 industrial workers in Gwangju. Their dietary information was analyzed using a questionnaire of NQ-A, which consisted of 21 checklist items and the general characteristics of the subjects. The scores of NQ-A and its 4 factors (balance, moderation, diversity, and dietary behavior) were calculated according to the general characteristics of subjects. The data were analyzed using a χ2 test, t-test, correlation, and multiple regression using SPSS 21.0 program. Results: The mean NQ-A score was 45.3 for the total subjects, indicating a low grade. Non-shift workers showed significantly higher scores for balance, diversity, and moderation factors than shift workers. Forty-three (8.7%) shift workers and 123 (50.8%) non-shift workers had good NQ-A scores, whereas 453 (91.3%) shift workers and 119 (49.2%) non-shift workers required monitoring for nutrition. The significant influencing factors of NQ-A were the working pattern (p < 0.001), gender (p < 0.001), family composition (p < 0.001), age (p < 0.001), and household income (p < 0.001). As a result of multiple regression analysis, there was a significant difference in the NQ-A score for moderation (F = 141.930, p < 0.001), diversity (F = 98.998, p < 0.001), balance (F = 52.329, p < 0.001), and dietary behavior (F = 12.895, p < 0.001). As a result, shift work and gender had the greatest influence on the balance (β = -0.372, p < 0.001), diversity (β = -0.316, p < 0.001), and moderation (β = -0.507, p < 0.001) factors in NQ-A. Gender had the most influence on the dietary behavior in NQ-A. Conclusion: Shift work and gender were significant factors affecting NQ-A. To manage workers' health better, it will be necessary to prepare a nutrition education program according to the type of working pattern and gender.

본 연구는 광주지역 산업체 근로자 738명을 대상으로 NQ-A를 측정하여 영양상태 및 식사의 질 수준을 파악하고 이에 관련된 요인을 확인하였다. 본 연구 대상자는 교대 근무자 496명, 비교대 근무자 242명으로 구성되었다. 근무 기간은 10년 이상이 64.9%, 남성 근로자가 81%, 연령대는 50대 이상이 31.6%를 차지하였다. 교육 수준은 대학 졸업 이상이 57.2%, 월평균 가계소득은 401-600만원인 경우가 48.2%로 가장 높은 비율이었고, 가구 구성은 결혼의 여부에 따라 가족과 함께인 가구가 75.9%였다. 대상자들의 근무 형태에 따라 교대 근무와 비교대 근무자로 나누어 분석한 결과 NQ-A와 영역별 점수는 비교대 근무자가 유의하게 높았다. 연구 대상자의 NQ-A 평균 점수는 45.3점이었고, 모니터링 필요 집단은 교대 근무자에서 91.3%로 유의하게 높았다. 연구 대상자의 영양지수에 영향을 미치는 요인은 근무형태, 성별, 연령, 교육 수준, 월평균 가계 소득, 가구 구성으로 나타났다. 비교대 근무자, 여성, 가족과 함께인 가구, 50대 이상, 월평균 가계 소득 600만원 이상의 경우가 NQ-A를 높이는 요인으로 확인되었다. 연구 대상자의 균형, 다양, 절제, 식행동 영역에 영향을 미치는 요인에 대한 확인 결과, 근무 형태는 균형, 다양, 절제 영역에 공통적으로 가장 큰 영향을 미치는 요인이었고, 성별은 식행동 영역에 가장 큰 영향을 미치는 것으로 조사되었다. 본 연구는 NQ-A 지수를 활용하여 일반 산업체 근로자의 영양상태와 관련 요인 균형, 다양, 절제, 식행동으로 나누어 세부적으로 평가하고 영양지수에 영향을 미치는 요인을 파악하여 구체적으로 식생활교육 프로그램의 방향을 제시했다는데 의미가 있으며, 산업보건에서 영양관리의 필요성 및 근무 형태와 성별에 따른 차별화된 관리와 지원이 필요함을 시사한다. 즉, 근무 형태와 성별에 따른 영양관리와 식생활 교육 프로그램 마련이 요구되며, 근로자가 육체적 정신적으로 건강한 생활을 영위하는 데 가치를 두고 식습관에 관심을 가질 수 있도록 하는 교육이 이루어져야 할 것이다.

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References

  1. Statistics Korea. Press releases: economically active population survey in December 2019 [Internet]. Daejeon: Statistics Korea; 2019 [cited 2020 Jun 20]. Available from: http://kostst.go.kr.
  2. Korea Occupational Safety and Health Agency (KOSHA). Work Environment Measurement in Korea 2019 [Internet]. Seoul: Korea Occupational Safety and Health Agency; 2019 [cited 2020 Jun 20]. Available from: http://kosha.or.kr.
  3. Kim E, Oh SW. Gender differences in the association of occupation with metabolic syndrome in Korean adults. Korean J Obes 2012; 21(2): 108-114. https://doi.org/10.7570/kjo.2012.21.2.108
  4. Kim SA, Song IH, Wang JH, Kim YK, Park WS. The prevalence of chronic diseases, status of health behaviors and medical service utilization-focused on female blue-collar workers. J Agric Med Community Health 2010; 35(3): 239-248. https://doi.org/10.5393/JAMCH.2010.35.3.239
  5. Kim GR, Park HR, Lee YM, Lim YS, Song KH. Comparative study on prevalence and components of metabolic syndrome and nutritional status by occupation and gender: Based on the 2013 Korea national health and nutrition examination survey. J Nutr Health 2017; 50(1): 74-84. https://doi.org/10.4163/jnh.2017.50.1.74
  6. Limeiling L, Ha Y, Lee JS. Effectiveness of a smoking cessation healing camp for male workers in a workplace setting. J Digit Converg 2018; 16(6): 297-306. https://doi.org/10.14400/JDC.2018.16.6.297
  7. Choi SY, Kang NE, Kim SH. An investigation on the metabolic syndromes and health-related risk factors among male workers. Korean J Food Nutr 2013; 26(4): 975-984. https://doi.org/10.9799/ksfan.2013.26.4.975
  8. Do KA, Jung HS, Choi EH. Association between job-related factors and metabolic syndrome among male and female workers: using the Korean National Health and Nutrition Examination Study. Korean J Occup Health Nurs 2015; 24(1): 39-47. https://doi.org/10.5807/kjohn.2015.24.1.39
  9. Kim MH, Lee SH, Shin KS, Son DY, Kim SH, Oh JE, et al. The change of metabolic syndrome prevalence and its risk factors in Korean adults for decade: Korea National Health and Nutrition Examination Survey for 2008-2017. Korean J Fam Pract 2020; 10(1): 44-52. https://doi.org/10.21215/kjfp.2020.10.1.44
  10. Lee SE, Han K, Kang YM, Kim SO, Cho YK, Ko KS, et al. Trends in the prevalence of metabolic syndrome and its components in South Korea: Findings from the Korean National Health Insurance Service Database (2009-2013). PLoS One 2018; 13(3): e0194490. https://doi.org/10.1371/journal.pone.0194490
  11. Kwon JS, Kim K, Seo HC, Lee Y, Lim S, Choi YS. A study on dietary behaviors, health-related lifestyle of adult visitors at public health centers in Gyeonggi urban area. Korean J Community Nutr 2013; 18(6): 611-625. https://doi.org/10.5720/kjcn.2013.18.6.611
  12. Lee MS, Kwak CS. The comparison in daily intake of nutrients, quality of diets and dietary habits between male and female college students in Daejeon. Korean J Community Nutr 2006; 11(1): 39-51.
  13. Kwak CS, Lee JW, Hyun WJ. The effects of smoking and alcohol drinking on nutritional status and eating habits in adult males. Korean J Community Nutr 2000; 5(2): 161-171.
  14. Choi M, Kim MH. A study on bone mineral density, dietary habits and nutritional status of adult women in the three age groups. Korean J Food Cult 2007; 22(6): 833-840.
  15. Kim JM, Kang BH. The relationships between dietary behavior and health related factors according to shift work in nurses. J Nutr Health 2014; 47(6): 416-425. https://doi.org/10.4163/jnh.2014.47.6.416
  16. Hwang WJ, Ha JS, Jo HH. A systematic review of the health promotion for workers; participatory action research and community based participatory research. J Korea Converg Soc 2018; 9(12): 459-466. https://doi.org/10.15207/JKCS.2018.9.12.459
  17. Lee JS, Kim HY, Hwang JY, Kwon S, Chung HR, Kwak TK, et al. Development of nutrition quotient for Korean adults: item selection and validation of factor structure. J Nutr Health 2018; 51(4): 340-356. https://doi.org/10.4163/jnh.2018.51.4.340
  18. Park JE. A comparative study on the adult Nutrition Quotient (NQ) and nutrition knowledge according to the acquiring and using patterns of food and nutrition information in food related TV programs [dissertation]. Seoul: Yonsei University; 2019.
  19. Kim ES. The associations between personality, Nutrition Quotient for Korean adults (NQ), eating styles and obesity in Korean adults [dissertation]. Seoul: Yonsei University; 2019.
  20. Yi NY, Kwon TY. Effects of self-management on the Nutrition Quotient (NQ) of college athletes. Korean J Community Living Sci 2020; 31(1): 37-50. https://doi.org/10.7856/kjcls.2020.31.1.37
  21. Souza RV, Sarmento RA, de Almeida JC, Canuto R. The effect of shift work on eating habits: a systematic review. Scand J Work Environ Health 2019; 45(1): 7-21. https://doi.org/10.5271/sjweh.3759
  22. European Agency for Safety and Health at Work. Motivation for employers to carry out workplace health promotion: literature review. Luxembourg: Publications Office of the European Union; 2012
  23. Kim HK, Chung J. Associations of the eating alone behavior with nutrient intake, obesity and metabolic syndrome in middle-aged adults based on the 2013-2017 Korean National Health and Nutrition Examination Survey. J Nutr Health 2019; 52(5): 435-448. https://doi.org/10.4163/jnh.2019.52.5.435
  24. Statistics Korea. Current status and characteristics of single person household in population and housing census [Internet]. Daejeon: Statistics Korea; 2018 [cited 2020 Jun 27]. Available from: http://kostst.go.kr.
  25. Kim Y. Dietary safety management awareness and competency for healthcare among adults in Daegu and Gyeongbuk areas. Korean J Community Nutr 2020; 25(2): 112-125. https://doi.org/10.5720/kjcn.2020.25.2.112
  26. Park SH, Lee EJ, Chang KJ. Dietary habits and snack consumption behaviors according to level of job stress among 20- to 30-year old office workers in the Seoul metropolitan area. J Korean Soc Food Cult 2020; 35(2): 143-155. https://doi.org/10.7318/KJFC/2020.35.2.143
  27. Seo HC. The relationship between sugar intake and emotional function of adolescent. J Brain Educ 2013; 11: 75-97.