Journal of Nutrition and Health

The Korean Nutrition Society (한국영양학회)
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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

남녀별 직업군에 따른 대사증후군의 구성요소와 유병률 및 영양 상태의 비교 연구 : 2013년 국민건강영양조사 자료를 이용하여

  • Kim, Ga Ram (Department of Food and Nutrition, Myongji University) ;
  • Park, Hae Ryun (Department of Food and Nutrition, Myongji University) ;
  • Lee, Young Mi (Department of Food and Nutrition, Myongji University) ;
  • Lim, Young Suk (Department of Food and Nutrition, Myongji University) ;
  • Song, Kyung Hee (Department of Food and Nutrition, Myongji University)
  • Received : 2016.11.22
  • Accepted : 2016.12.23
  • Published : 2017.02.28
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Abstract

Purpose: In this study, factors of metabolic syndrome and nutritional status were examined according to gender and occupations using the 2013 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was conducted on 1,750 workers (male : 892, female : 858) aged between 30 and 64, who participated in a health survey, health examination, and nutrition survey using the 6th 2013 KNHANES. Occupations were classified into white collar and blue collar workers, and nutrient intake was analyzed using a food frequency questionnaire. Analysis of complex sample design data through SPSS 19.0 was used for analysis. Results: The prevalence rate of metabolic syndrome among blue collar (35.1%) was higher than that among white collar workers (26.8%) in male subjects (p < 0.05) as well as in blue collar (24.8%) compared to white collar workers (8.9%) in female subjects (p < 0.001). Intake frequency per week, considering one portion by food category, showed significant differences in cooked rice (p < 0.05) and bakeries and confectioneries (p < 0.05) in make workers as well as stew and casserole (p < 0.01) and fruits (p < 0.05) in female workers. With regard to nutrient intake by occupation and gender, white collar workers consumed a greater amount of nutrients (not including total energy intake) compared to blue collar workers in both male and female workers. With regard to nutrient adequacy ratio (NAR) and mean adequacy ratio (MAR) according to gender and occupation, white collar workers showed higher numbers than blue collar workers in both male and female subjects. Conclusions: This study examined the prevalence rates of metabolic syndrome and nutrient intake according to gender and occupation. In both male and female subjects, blue collar workers showed higher prevalence rates compared to white collar workers, and their diet quality was worse than white collar workers' diet quality. Considering this result, customized nutrition education according to gender and occupation should be provided to workers to prevent diseases.

본 연구에서는 2013년 국민건강영양조사 자료를 이용하여 30~64세 무직을 제외한 근로자 1,750명 (남성 892명, 여성 858명)을 대상으로 화이트칼라와 블루칼라로 직업군을 분류하였으며 이를 통해 직업군에 따른 대사증후군의 구성요소와 유병률 및 영양 상태를 비교 연구하였다. 그 결과 대사증후군 영향 요인으로 작용하는 사회경제적 지표인 교육수준과 소득수준에서 남녀 모두 화이트칼라가 블루칼라보다 높았다. 대사증후군 유병률을 살펴보았을 때, 남성의 경우 블루칼라 35.1%, 화이트칼라 26.8%로 블루칼라가 화이트칼라보다 높게 나타났으며, 여성의 경우 블루칼라 24.8%, 화이트칼라 8.9%로 블루칼라가 화이트칼라보다 대사증후군 유병률이 높았다. 남녀를 비교하였을 때는 여성보다 남성에서 대사증후군 유병률이 높은 것으로 나타났다. 대사증후군 구성요소의 유병률에서는 남성의 경우 고혈당이 블루칼라가 화이트칼라보다 유의적으로 유병률이 높았으며 여성의 경우 복부 비만, 고혈압, 고혈당, 고중성지방혈증, 저HDL콜레스테롤혈증 모두 블루칼라가 화이트칼라보다 유의적으로 유병률이 높았다. 음식군별 1회 섭취량을 고려하여 주당 섭취빈도를 살펴본 결과 직업군별 남성의 경우 블루칼라가 화이트칼라보다 밥류의 주당 섭취빈도가 많았으며 빵 떡류의 주당 섭취빈도는 화이트칼라가 블루칼라보다 유의적으로 많이 섭취하였다. 여성의 경우는 블루칼라가 화이트칼라보다 국 찌개류의 주당 섭취빈도가 많았으며 과일류의 주당 섭취빈도는 화이트칼라가 블루칼라보다 유의적으로 많이 섭취하였다. 영양소 섭취량은 총 에너지 섭취량을 제외한 나머지 영양소 섭취량에서 남녀 모두 화이트칼라가 블루칼라보다 많이 섭취하였다. 따라서 본 연구 결과 남녀 모두 대사증후군 유병률은 블루칼라가 화이트칼라보다 높았으며 특히, 여성의 블루칼라에서 대사증후군과 그 구성요소의 유병률 비율이 높게 나타나 대사증후군 중재 및 예방을 위한 영양교육이 필요할 것이다. 또한, 남녀 모두 블루칼라가 화이트칼라보다 영양소 섭취 및 식사의 질이 전반적으로 저조한 것으로 나타나 블루칼라의 올바른 식습관 개선이 필요하다고 사료된다. 결론적으로 본 연구를 통해 성별에 따른 직업유형별 대사증후군 유병률과 영양소 섭취 상태가 상이하므로 이를 고려한 근로자들의 질병 예방을 위한 맞춤형 영양교육 서비스가 필요하다고 사료된다.

Keywords

References

  1. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2014: Korea National Health and Nutrition Examination Survey (KNHANES VI-2). Cheongju: Korea Centers for Disease Control and Prevention; 2015.
  2. Sung EJ. The trend of chronic diseases in Korea. J Korean Dairy Technol Sci Assoc 2005; 23(2): 99-106.
  3. Park E, Choi SJ, Lee HY. The prevalence of metabolic syndrome and related risk factors based on the KNHANES V 2010. J Agric Med Community Health 2013; 38(1): 1-13. https://doi.org/10.5393/JAMCH.2013.38.1.001
  4. Loucks EB, Rehkopf DH, Thurston RC, Kawachi I. Socioeconomic disparities in metabolic syndrome differ by gender: evidence from NHANES III. Ann Epidemiol 2007; 17(1): 19-26. https://doi.org/10.1016/j.annepidem.2006.07.002
  5. Booth SL, Sallis JF, Ritenbaugh C, Hill JO, Birch LL, Frank LD, Glanz K, Himmelgreen DA, Mudd M, Popkin BM, Rickard KA, St Jeor S, Hays NP. Environmental and societal factors affect food choice and physical activity: rationale, influences, and leverage points. Nutr Rev 2001; 59(3 Pt 2): S21-S39.
  6. Park MJ, Yun KE, Lee GE, Cho HJ, Park HS. The relationship between socioeconomic status and metabolic syndrome among Korean adults. Korean J Obes 2006; 15(1): 10-17.
  7. Moon HK, Kong JE. Assessment of nutrient intake for middle aged with and without metabolic syndrome using 2005 and 2007 Korean National Health and Nutrition Survey. Korean J Nutr 2010; 43(1): 69-78. https://doi.org/10.4163/kjn.2010.43.1.69
  8. Dallongeville J, Cottel D, Ferrieres J, Arveiler D, Bingham A, Ruidavets JB, Haas B, Ducimetiere P, Amouyel P. Household income is associated with the risk of metabolic syndrome in a sex-specific manner. Diabetes Care 2005; 28(2): 409-415. https://doi.org/10.2337/diacare.28.2.409
  9. Im JS, Choi DK, Yim J, Hong D, Kim JK, Park SH, Youn ST. Socioeconomic differentials in stroke and cardiovascular disease mortality in Korea. J Korean Soc Health Educ Promot 2006; 23(2): 109-119.
  10. Shin SC, Kim MC. The effect of occupation and employment status upon perceived health in South Korea. Health Soc Sci 2007; 22: 205-224.
  11. 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
  12. 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
  13. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F; American Heart Association; National Heart, Lung, and Blood Institute. 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
  14. Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, Kim DY, Kwon HS, Kim SR, Lee CB, Oh SJ, Park CY, Yoo HJ. 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
  15. The Korean Nutrition Society. Dietary reference intakes for Koreans. 1st revision. Seoul: The Korean Nutrition Society; 2010.
  16. Yun SH, Shim JS, Kweon S, Oh K. Development of a food frequency questionnaire for the Korea National Health and Nutrition Examination Survey: data from the fourth Korea National Health and Nutrition Examination Survey. Korean J Nutr 2013; 46(2): 186-196. https://doi.org/10.4163/kjn.2013.46.2.186
  17. Kim HR, Khang YH, Yoon KJ, Kim CS. Socioeconomic health inequalities and counter policies in Korea. Seoul: Korea Institute for Health and Social Affairs; 2004.
  18. Park HS, Oh SW, Cho SI, Choi WH, Kim YS. The metabolic syndrome and associated lifestyle factors among South Korean adults. Int J Epidemiol 2004; 33(2): 328-336. https://doi.org/10.1093/ije/dyh032
  19. Kwon LS, Lee SH. Environmental factors related factors of metabolic syndrome of Korean adults: focused on the fourth term Korea National Health and Nutrition Examination Survey. J Korean Soc Living Environ Syst 2012; 19(6): 676-688.
  20. Kim DI. The relationship between walking activity per week, metabolic syndrome risk factors, and prevalence of metabolic syndrome in Korean adult population: data from the fifth Korea National Health and Nutrition Examination Survey V-3. J Korean Soc Living Environ Syst 2015; 22(1): 58-65. https://doi.org/10.21086/ksles.2015.02.22.1.58
  21. Kim DI. Differences of metabolic syndrome risk factors according to moderate intensity walking activity and vigorous physical activity among Korean adults population: using data from the fifth Korea National Health and Nutrition Examination Survey V(2010-2012 years). J Korean Soc Living Environ Syst 2015; 22(3): 388-397. https://doi.org/10.21086/ksles.2015.06.22.3.388
  22. Choi SY, Bin JE, Kim SH. An investigation of health status in male workers. Korean J Food Nutr 2012; 25(4): 1047-1054. https://doi.org/10.9799/ksfan.2012.25.4.1047
  23. Choiniere R, Lafontaine P, Edwards AC. Distribution of cardiovascular disease risk factors by socioeconomic status among Canadian adults. CMAJ 2000; 162(9 Suppl): S13-S24.
  24. Lee MS. Relationship of the relative risks of the metabolic syndrome and dietary habits of middle-aged in Seoul. Korean J Community Nutr 2004; 9(6): 695-705.
  25. Bowman S. Low economic status is associated with suboptimal intakes of nutritious foods by adults in the National Health and Nutrition Examination Survey 1999-2002. Nutr Res 2007; 27(9): 515-523. https://doi.org/10.1016/j.nutres.2007.06.010
  26. Park YW, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med 2003; 163(4): 427-436. https://doi.org/10.1001/archinte.163.4.427
  27. World Health Organization Western Pacific Region; International Association for the Study of Obesity; International Obesity Task Force. The Asia-pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia Pty Limited; 2000.
  28. Park J, Kweon S, Kim Y, Jang MJ, Oh K. Dietary behaviors related to metabolic syndrome in Korean adults. Korean J Community Nutr 2012; 17(5): 664-675. https://doi.org/10.5720/kjcn.2012.17.5.664
  29. Myong JP, Kim HR, Jung-Choi K, Baker D, Choi B. Disparities of metabolic syndrome prevalence by age, gender and occupation among Korean adult workers. Ind Health 2012; 50(2): 115-122. https://doi.org/10.2486/indhealth.MS1328
  30. Ervin RB. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. Natl Health Stat Rep 2009; 13(13): 1-7.
  31. Appel LJ, Sacks FM, Carey VJ, Obarzanek E, Swain JF, Miller ER 3rd, Conlin PR, Erlinger TP, Rosner BA, Laranjo NM, Charleston J, McCarron P, Bishop LM, OmniHeart Collaborative Research Group; OmniHeart Collaborative Research Group. Effects of protein, monounsaturated fat, and carbohydrate intake on blood pressure and serum lipids: results of the OmniHeart randomized trial. JAMA 2005; 294(19): 2455-2464. https://doi.org/10.1001/jama.294.19.2455
  32. Riccardi G, Giacco R, Rivellese AA. Dietary fat, insulin sensitivity and the metabolic syndrome. Clin Nutr 2004; 23(4): 447-456. https://doi.org/10.1016/j.clnu.2004.02.006
  33. Shin D, Joh HK, Kim KH, Park SM. Benefits of potassium intake on metabolic syndrome: ?the fourth Korean National Health and Nutrition Examination Survey (KNHANES IV). Atherosclerosis 2013; 230(1): 80-85. https://doi.org/10.1016/j.atherosclerosis.2013.06.025
  34. Yoo H, Kim Y. A study on the characteristics of nutrient intake in metabolic syndrome subjects. Korean J Nutr 2008; 41(6): 510-517.
  35. Oh HM, Yoon JS. Health and nutritional status of industrial workers. Korean J Community Nutr 2000; 5(1): 13-22.

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