DOI QR코드

DOI QR Code

Evaluation of Dietary Habits and Health-Related Factors According to the Employment in Women in Early Adulthood - Based on the 2016~2019 Korea National Health and Nutrition Examination Survey

20대 성인 여성에서 정규직 여부에 따른 식생활 및 건강 관련 요인 분석 연구 - 2016~2019년 국민건강영양조사 자료를 이용하여 -

  • Bae, Yun-Jung (Major in Food and Nutrition, Korea National University of Transportation)
  • 배윤정 (한국교통대학교 식품영양학전공)
  • Received : 2021.07.22
  • Accepted : 2021.08.17
  • Published : 2021.08.31

Abstract

Objectives: This study aimed to compare the factors of dietary and health behavior according to the employment in women in early adulthood and to analyze their relationship. Methods: In this study, adult women aged 20~29 who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) 2016~2019 were classified into two groups depending on their permanent worker status, namely tenured employees (n = 254) and temporary employees (n = 377). Dietary habits (prevalence of skipping meals, food nutrition label use, etc.), nutrient intake, and metabolic syndrome factors were analyzed. Results: The tenured employees' group showed a significantly lower proportion of subjects who skipped breakfast (P = 0.0254) and significantly higher daily energy intake (P = 0.0264) than the temporary employees' group. However, there were no significant differences in the intake of energy nutrients and most of the micronutrients per 1,000 kcal of energy intake between the two groups. The proportion of subjects who consumed energy nutrients under 75% of the estimated energy requirement (EER) was 38.11% in the tenured employees' group, which was significantly lower than the 48.30% in the temporary employees' group (P = 0.0159). In economically active women aged 19~29 years, the odds ratio of low HDL-cholesterolemia prevalence was 1.80 times higher (95% CI, 1.06-3.06) in the temporary employees' group compared to that in the tenured employees' group after adjustment for confounding factors (P = 0.0295). Conclusions: In conclusion, among Korean adult women in their twenties, temporary employees showed inappropriate eating habits such as skipping breakfast, and had abnormal blood lipid levels.

Keywords

Acknowledgement

This research has been supported by the AMOREPACIFIC Foundation.

References

  1. Statistics Korea. Life tables for Korea, 2019 [Internet]. Statistics Korea; 2020 [cited 2020 Jul 18]. Available from: https://kostat.go.kr/.
  2. Korea Disease Control and Prevention Agency. The eighth Korea National Health and Nutrition Examination Survey (KNHANES VIII-1), 2019. Cheongju: Korea Disease Control and Prevention Agency; 2020.
  3. Cho DY, Koo JW. Differences in metabolic syndrome prevalence by employment type and sex. Int J Environ Res Public Health 2018; 15(9): 1798. https://doi.org/10.3390/ijerph15091798
  4. Eum MJ, Jung HS. Association between occupational characteristics and overweight and obesity among working Korean women: The 2010-2015 Korea National Health and Nutrition Examination Survey. Int J Environ Res Public Health 2020; 17(5): 1585. https://doi.org/10.3390/ijerph17051585
  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. Kong JS, Min KB, Min JY. Temporary workers' skipping of meals and eating alone in South Korea: The Korean National Health and Nutrition Examination Survey for 2013-2016. Int J Environ Res Public Health 2019; 16(13): 2319. https://doi.org/10.3390/ijerph16132319
  7. Lee JY, Lee JW, Choi WS, Myong JP. Dose-response relationship between night work and the prevalence of impaired fasting glucose: The Korean worker's special health examination for night workers cohort. Int J Environ Res Public Health 2021; 18(4): 1854. https://doi.org/10.3390/ijerph18041854
  8. Yu J. Relationship between long working hours and metabolic syndrome among Korean workers. Asian Nurs Res 2017; 11(1): 36-41. https://doi.org/10.1016/j.anr.2017.02.003
  9. Statistics Korea. Economically active population survey in August 2020 [Internet]. Statistics Korea; 2020 [cited 2021 Jul 18]. Available from: https://kostat.go.kr/.
  10. Korean Women's Development Institute. Gender Statistics [Internet]. Korean Women's Development Institute; 2021 [cited 2021 Aug 12]. Available from: https://gsis.kwdi.re.kr/statHtml/statHtml.do?orgId=338&tblId=DT_1XD9002.
  11. Caldbick S, Labonte R, Mohindra KS, Ruckert A. Globalization and the rise of precarious employment: The new frontier for workplace health promotion. Glob Health Promot 2014; 21(2): 23-31. https://doi.org/10.1177/1757975913514781
  12. Organisation for Economic Co-Operation and Development (OECD). Employment Outlook 2003: Towards more and better jobs. Paris: OECD; 2003.
  13. Kristensen TS. Challenges for research and prevention in relation to work and cardiovascular diseases. Scand J Work Environ Health 1999; 25(6): 550-557. https://doi.org/10.5271/sjweh.479
  14. Kim W, Kim TH, Lee TH, Ju YJ, Chun SY, Park EC. Temporary work and depressive symptoms in South Korean workers. Occup Med (Lond) 2017; 67(6): 421-424. https://doi.org/10.1093/occmed/kqx050
  15. Jung Y, Oh J, Huh S, Kawachi I. The effects of employment conditions on smoking status and smoking intensity: The analysis of Korean Labor & Income Panel 8th-10th wave. PLoS ONE 2013; 8(2): e57109. https://doi.org/10.1371/journal.pone.0057109
  16. Ronda-Perez E, Campos-Mora J, de Juan A, Gea T, Reid A, Caballero P. Differences in the prevalence of fruit and vegetable consumption in Spanish workers. Nutrients 2020; 12(12): 3848. https://doi.org/10.3390/nu12123848
  17. Seon JJ, Lim YJ, Lee HW, Yoon JM, Kim SJ, Choi S et al. Cardiovascular health status between standard and nonstandard workers in Korea. PLoS One 2017; 12(6): e0178395. https://doi.org/10.1371/journal.pone.0178395
  18. Willett W. Nutritional epidemiology. 3rd edition. New York: Oxford University Press; 2013.
  19. Korean Society for the Study of Obesity. Guideline for treatment of obesity. Seoul: Korean Society for the Study of Obesity; 2012. p. 17-21.
  20. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA et al. Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005; 112(17): 2735-2752. https://doi.org/10.1161/CIRCULATIONAHA.105.169404
  21. Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ et al. Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract 2007; 75(1): 72-80. https://doi.org/10.1016/j.diabres.2006.04.013
  22. The Ministry of Health and Welfare, The Korean Nutrition Society. 2015 Dietary Reference Intakes for Korean 2015. Seoul: The Ministry of Health and Welfare; 2015. p. vi-xii.
  23. Jo PK, Oh YJ. Comparison of dietary behavior of eating alone in single households by status of workers and age. Korean J Community Nutr 2019; 24(5): 408-421. https://doi.org/10.5720/kjcn.2019.24.5.408
  24. Chung HJ, Muntaner C. Employment conditions and inequalities in health: Pathways and mechanisms. Korea Soc Policy Rev 2011; 18(2): 245-287. https://doi.org/10.17000/kspr.18.2.201106.245
  25. Cho SH. Neo-liberal globalization and workers' human rights. Asian Women Law 2005; 8: 241-284.
  26. Kim J. The impact of multidimensional social exclusions on atypical worker's self-rated health and depression: Comparative analysis with typical worker. Health Soc Welf Rev 2017; 37(3): 398-432. https://doi.org/10.15709/HSWR.2017.37.3.398
  27. Cho J, Lee J. Persistence of the gender gap and low employment of female workers in a stratified labor market: Evidence from South Korea. Sustainability 2015; 7(9): 12425-12451. https://doi.org/10.3390/su70912425
  28. Minelli L, Pigini C, Chiavarini M, Bartolucci F. Employment status and perceived health condition: Longitudinal data from Italy. BMC Public Health 2014; 14(1): 946. https://doi.org/10.1186/1471-2458-14-946
  29. Inoue M, Minami M, Yano E. Body mass index, blood pressure, and glucose and lipid metabolism among permanent and fixedterm workers in the manufacturing industry: A cross-sectional study. BMC Public Health 2014; 14: 207. https://doi.org/10.1186/1471-2458-14-207
  30. Kobayashi Y, Hirose T, Tada Y, Tsutsumi A, Kawakami N. Relationship between two job stress models and coronary risk factors among Japanese part-time female employees of a retail company. J Occup Health 2005; 47(3): 201-210. https://doi.org/10.1539/joh.47.201
  31. Seon JJ, Lim YJ, Lee HW, Yoon JM, Kim SJ, Choi S et al. Cardiovascular health status between standard and nonstandard workers in Korea. PLoS One 2017; 12(6): e0178395. https://doi.org/10.1371/journal.pone.0178395
  32. Pedersen TP, Meilstrup C, Holstein BE, Rasmussen M. Fruit and vegetable intake is associated with frequency of breakfast, lunch and evening meal: Cross-sectional study of 11-, 13-, and 15-year-olds. Int J Behav Nutr Phys Act 2012; 9: 9. https://doi.org/10.1186/1479-5868-9-9
  33. Timlin MT, Pereira MA. Breakfast frequency and quality in the etiology of adult obesity and chronic diseases. Nutr Rev 2007; 65(6): 268-281. https://doi.org/10.1301/nr.2007.jun.268-281
  34. Leech RM, Livingstone KM, Worsley A, Timperio A, McNaughton SA. Meal frequency but not snack frequency is associated with micronutrient intakes and overall diet quality in Australian men and women. J Nutr 2016; 146(10): 2027-2034. https://doi.org/10.3945/jn.116.234070
  35. Jin S, Yoon J, Asano K, Choi I. Characteristics of Korean employees' meal structure on working and non-working days: Analysis of the 2014 Korean Time Use Survey. J Korean Soc Food Cult 2020; 35(4): 323-332. https://doi.org/10.7318/KJFC/2020.35.4.323