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.
10.5720/kjcn.2016.21.4.366
- Author:
Minkyoung JANG
1
;
Eunsil HER
;
Kyunghea LEE
Author Information
1. Department of Food and Nutrition, Changwon National University, Changwon, Korea. khl@changwon.ac.kr
- Publication Type:Original Article
- Keywords:
middle-aged men;
protein intake;
OR of metabolic syndrome
- MeSH:
Blood Pressure;
Body Mass Index;
Chickens;
Eating;
Energy Intake;
Hematologic Tests;
Humans;
Male;
Nutrition Surveys*;
Odds Ratio;
Prevalence;
Red Meat
- From:Korean Journal of Community Nutrition
2016;21(4):366-377
- CountryRepublic of Korea
- Language:Korean
-
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 ± 0.71 g. 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 ± 24.08 kcal. 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 ± 0.32 g), milled rice (7.14 ± 0.30 g), chicken (3.50 ± 0.21 g), and grilled pork belly (3.04 ± 0.16 g). 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.
