Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
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Metabolic Syndrome Risk by Intake Ratio and Intake Pattern of Proteins in Middle-aged Men Based on the 2012-2013 Korean National Health and Nutrition Examination Survey Data

2012년~2013년 국민건강영양조사 자료를 이용한 중년 남성의 단백질섭취비와 섭취패턴에 따른 대사증후군 위험도 비교

  • Jang, Minkyoung (Department of Food and Nutrition, Changwon National University) ;
  • Her, Eunsil (Department of Food and Nutriton, Changshin University) ;
  • Lee, Kyunghea (Department of Food and Nutrition, Changwon National University)
  • 장민경 (창원대학교 식품영양학과) ;
  • 허은실 (창신대학교 식품영양학과) ;
  • 이경혜 (창원대학교 식품영양학과)
  • Received : 2016.07.14
  • Accepted : 2016.08.25
  • Published : 2016.08.30
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Abstract

Objectives: The purpose of the study was to compare intake of energy nutrients, physical characteristics, and the prevalence of metabolic syndrome according to protein intake group. Methods: Subjects were 827 men aged 40-65 years. The results presented were based on data from the 2012-2013 National Health and Nutrition Examination Survey and analyzed using SPSS. The odds ratio (OR) of metabolic syndrome was assessed according to the protein intake group and intake pattern of protein-rich foods. Results: The mean of protein intake was $73.96{\pm}0.71g$. According to level of protein intake, four groups (deficient, normal, excess 1, excess 2) were created and their percentages were 8.3%, 39.6%, 37.1%, and 15.0% respectively. The mean of daily energy intake was $2,312.33{\pm}24.08kcal$. It was higher in excess group 2 than in the deficiency group (p < 0.001). Moreover, the intake of all energy nutrients increased significantly with protein intake group (p < 0.001). The main contribution to daily protein included mixed grains ($10.96{\pm}0.32g$), milled rice ($7.14{\pm}0.30g$), chicken ($3.50{\pm}0.21g$), and grilled pork belly ($3.04{\pm}0.16g$). With regard to physical characteristics, and blood pressure and blood test results, only body mass index increased significantly according to protein intake groups (p < 0.05). The prevalence of metabolic syndrome in subjects was 38.5%, and there was no significant correlation with protein intake group. The OR of metabolic syndrome increased with protein intake, and was higher 4.452 times in excess group 2 than in the normal group (p < 0.05). Conversely, the OR of metabolic syndrome according to the frequency of protein-rich food intake did not show a significant correlation. Conclusions: The results of this study can be used as significant supporting data to establish guidelines for protein intake in middle-aged men.

Keywords

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