Journal List > Korean J Community Nutr > v.25(1) > 1143484

Shin and Lee: Relation between the Total Diet Quality based on Korean Healthy Eating Index and the Incidence of Metabolic Syndrome Constituents and Metabolic Syndrome among a Prospective Cohort of Korean Adults

Abstract

Objectives

This study examined the association of the total diet quality with the incidence risk of metabolic syndrome constituents and metabolic syndrome among Korean adults.

Methods

Based on a community-based cohort of the Korean Genome and Epidemiology Study (KoGES) from 2001 to 2014, data from a total of 5,549 subjects (2,805 men & 2,744 women) aged 40∼69 years at the baseline with a total follow-up period of 38,166 person-years were analyzed. The criteria of the National Cholesterol Education Program Adult Treatment Panel was employed to define metabolic syndrome. The total diet quality was estimated using the Korean Healthy Eating Index (KHEI). Hazard ratios (HR) and 95% confidence intervals (CI) for risk of metabolic syndrome constituents and metabolic syndrome in relation to KHEI quintile groups was calculated by multivariate Cox proportional hazards regression model.

Results

After adjusting for age, energy intake, income, education, physical activity, smoking, and drinking, the incidence of abdominal obesity and high blood pressure was significantly lower, by approximately 29.7% (P < 0.01) and 25.2% (P < 0.01), respectively, in the fifth KHEI quintile compared to the first quintile in men. A significant decreasing trend of the metabolic syndrome incidence was observed across the improving levels of KHEI (HRq5vs.q1: 0.775, 95% CIq5vs.q1: 0.619∼0.971, P for trend<0.01). In women, the incidence of abdominal obesity and metabolic syndrome was significantly lower, by approximately 29.8% (P < 0.01) and 22.5% (P < 0.05), respectively, in the fifth KHEI quintile compared to the first quintile adjusting for multiple covariates. On the other hand, the linear trend of metabolic syndrome risk across the KHEI levels did not reach the significance level.

Conclusions

A better diet quality can prevent future metabolic syndrome and its certain risk factors among Korean men and women.

References

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Table 1.
Subjects' general characteristics at baseline
Characteristics Men (N=2,805) Women (N=2,744) P-value1)
Age group
40∼49 (year) 1,535 (54.7) 1,594 (58.1) 0.007
50∼59 (year) 679 (24.2) 631 (23.0)
60∼69 (year) 591 (21.1) 519 (18.9)
Education     < 0.001
Elementary school graduate or less 547 (19.6) 980 (35.9)
Middle school graduate 631 (22.6) 697 (25.6)
High school graduate 1,022 (36.6) 854 (31.3)
College graduate or more Income (10,000 won) 594 (21.3) 197 (97.2) < 0.001
< 100 751 (27.0) 899 (33.5) < 0.001
100∼199 862 (31.0) 830 (30.9)
200∼399 920 (33.1) 774 (28.8)
≥ 400 250 (99.0) 182 (96.8)
Drinking status    
Non-drinker 791 (28.2) 1,913 (69.7)  
Drinker 2,014 (71.8) 831 (30.3)  
Alcohol intake (g/day) 17.6 ± 27.9 1.6 ± 5.8 < 0.001
Smoking status     < 0.001
Non-smoker 1,354 (48.3) 2,639 (96.2) < 0.001
Smoker 1,451 (51.7) 105 (93.8)
Cumulative smoking (pack-year) 18.0 ± 17.6 0.4 ± 2.6
Physical activity     < 0.001
METs2) < 20 1,560 (57.3) 1,787 (66.9)
20 ≤ METs < 40 536 (19.7) 425 (15.9)
40 ≤ METs 627 (23.0) 458 (17.2)

n (%) or Mean ± SD 1) Calculated from chi-square test or student t-test 2) Metabolic equivalents

Table 2.
Nutrient and food group intakes for first and fifth quintiles of Korean Healthy Eating Index scores
Dietary component Men (N=2,805) Women (N=2,744)
    Quintiles of KHEI scores   P-value
1st 5th P-value1) 1st 5th
Total KHEI4) score 1,943.79 ± 1,995.191) 1,977.72 ± 1,994.61 < 0.001 1,949.13 ± 1,996.03 1,984.47 ± 1,993.68 < 0.001
Nutrients
Energy (kcal/day)2) 1,650.96 ± 1,467.96 2,312.56 ± 1,558.42 < 0.001 1,546.58 ± 1,519.37 2,159.27 ± 1,618.44 < 0.001
Energy from carbohydrates (%)2) 1,973.83 ±1,99 8.27 1,966.58 ±1,99 4.54 < 0.001 1,976.04 ± 1,997.84 1,967.69 ± 1,994.32 < 0.001
Energy from fat (%)2) 1,912.36 ±1,99 6.58 1,917.78 ± 1,993.35 < 0.001 1,910.71 ± 1,996.35 1,916.72 ± 1,993.32 < 0.001
Dietary fiber (g/day)3) 1,995.21 ± 1,992.44 1,998.50 ± 1,993.15 < 0.001 1,995.15 ± 1,992.55 1,998.44 ± 1,993.33 < 0.001
Alcohol (g/day)3) 1,932.68 ± 1,931.70 1,917.64 ± 1,926.22 < 0.001 1,998.18 ± 1,913.49 1,992.49 ± 1,992.63 < 0.001
Sodium (mg/day)3) 2,967.20 ± 1,617.31 3,686.14 ± 1,632.86 0.009 2,564.25 ± 1,333.82 3,392.21 ± 1,671.25 0.064
Food groups
Fruits (servings/day)3) 1,990.94 ± 1,991.37 1,992.67 ± 1,992.20 < 0.001 1,991.44 ± 1,992.20 1,992.87 ±1,99 2.49 0.103
Vegetables (servings/day)3) 1,992.46 ± 1,991.80 1,995.33 ±1,99 2.61 < 0.001 1,992.67 ± 1,992.24 1,995.90 ± 1,993.32 < 0.001
Dairy products (servings/day)3) 1,990.17 ±1,99 0.48 1,991.08 ±1,99 0.80 < 0.001 1,990.21 ±1,99 0.49 1,991.34 ±1,99 0.99 < 0.001
Protein foods (servings/day)3) 1,991.77 ±1,99 1.37 1,994.11 ± 1,991.63 < 0.001 1,991.52 ±1,99 1.25 1,993.99 ±1,99 1.68 < 0.001
Empty calorie foods (servings/day) )3) 1,994.47 ±1,99 3.86 1,992.94 ± 1,992.89 < 0.001 1,991.38 ±1,99 1.62 1,991.20 ±1,99 0.95 < 0.001
Whole grains (servings/day)3) 1,990.53 ±1,99 1.04 1,991.87 ± 1,991.37 < 0.001 1,990.80 ± 1,991.27 1,992.25 ±1,99 1.21 < 0.001
Refined grains (servings/day)3) 1,992.58 ± 1,991.23 1,991.37 ± 1,991.40 < 0.001 1,992.20 ± 1,991.33 1,990.79 ± 1,991.13 < 0.001

Mean ± SD 1) Calculated from general linear model adjusted for age (year) or adjusted for age (year) and energy intake (kcal/day) 2) Adjusted for age (year) 3) Adjusted for age (year) and energy intake (kcal/day) 4) Korean Healthy Eating Index

Table 3.
Incidence risk of metabolic syndrome components for first and fifth quintiles of Korean Healthy Eating Index scores in men (N=2,805)
Metabolic syndrome components Quintiles of No. of Total   Crude     Model 12)     Model 23)  
KHEI4) scores cases person-years HR4) 95% CI4) P-value1) HR 95% CI P-value HR 95% CI P-value
Abdominal obesity 1st 183 3,884 1.000   1.000   1.000    
5th 156 4,231 0.796 0.643∼0.985 0.036 0.665 0.528∼0.837 < 0.001 0.703 0.553∼0.895 0.004
Hypertriglyceridemia 1st 287 2,964 1.000   1.000   1.000  
5th 273 3,383 0.866 0.733∼1.022 0.088 0.813 0.680∼0.972 0.023 0.931 0.773∼1.122 0.453
Low HDL-cholesterolemia 1st 477 3,009 1.000   1.000   1.000    
5th 464 3,039 1.009 0.882∼1.156 0.893 1.017 0.879∼1.177 0.817 1.001 0.858∼1.166 0.995
High blood pressure 1st 317 2,978 1.000   1.000   1.000  
5th 265 3,513 0.725 0.616∼0.853 < 0.001 0.662 0.555∼0.789 < 0.001 0.748 0.623∼0.897 0.002
Hyperglycemia 1st 244 3,507 1.000   1.000   1.000  
5th 202 3,935 0.746 0.619∼0.899 0.002 0.669 0.548∼0.818 < 0.001 0.811 0.657∼1.000 0.051

1) Calculated from Cox proportional hazards model 2) Adjusted for adjusted for age (year) and energy intake (kcal/day) 3) Adjusted for age (year), energy intake (kcal/day), income (< 100; 100∼199; 200∼3990; ≥ 400 (10,000 won)), education (elementary school graduate or less; middle school graduate; high school graduate; college graduate or more), physical activity (METs), smoking (pack-years), and alcohol intake (g/day) 4) KHEI: Korean Healthy Eating Index, HR: hazard ratio, CI: confidence interval

Table 4.
Incidence risk of metabolic syndrome components for first and fifth quintiles of Korean Healthy Eating Index scores in women (N=2,744)
Metabolic syndrome components Quintiles of KHEI4) scores No. of cases Total person-years Crude Model 12) Model 23)
HR4) 95% CI4) P-value1) HR 95% CI P-value HR 95% CI P-value
Abdominal obesity 1st 263 3,073 1.000   1.000   1.000  
5th 179 4,066 0.547 0.452∼0.661 < 0.001 0.526 0.430∼0.643 < 0.001 0.702 0.569∼0.867 0.001
Hypertriglyceridemia 1st 243 3,535 1.000   1.000   1.000  
5th 226 3,958 0.828 0.691∼0.993 0.041 0.934 0.772∼1.131 0.486 0.952 0.780∼1.163 0.631
Low HDL-cholesterolemia 1st 524 1,613 1.000   1.000   1.000  
5th 509 2,013 0.822 0.722∼0.935 0.003 0.834 0.726∼0.957 0.009 0.869 0.753∼1.004 0.056
High blood pressure 1st 242 3,448 1.000   1.000   1.000  
5th 183 3,941 0.672 0.554∼0.814 < 0.001 0.768 0.627∼0.941 0.011 0.898 0.725∼1.112 0.325
Hyperglycemia 1st 143 4,115 1.000   1.000   1.000  
5th 122 4,430 0.792 0.622∼1.008 0.058 0.843 0.653∼1.089 0.190 0.992 0.757∼1.299 0.953

1) Calculated from Cox proportional hazards model 2) Adjusted for adjusted for age (year) and energy intake (kcal/day) 3) Adjusted for age (year), energy intake (kcal/day), income (< 100; 100∼199; 200∼3990; ≥ 400 (10,000 won)), education (elementary school graduate or less; middle school graduate; high school graduate; college graduate or more), physical activity (METs), smoking (pack-years), and alcohol intake (g/day) 4) KHEI: Korean Healthy Eating Index, HR: hazard ratio, CI: confidence interval

Table 5.
Incidence risk of metabolic syndrome across quintiles of Korean Healthy Eating Index scores in men (N=2,805)
Quintiles of KHEI5) scores No. of cases Crude Model 13) Model 24)
Total person-years HR5) 95% CI5) P-value1) HR 95% CI P-value HR 95% CI P-value
1st 208 3,738 1.000   1.000   1.000  
2nd 202 3,696 0.985 0.811∼1.195 0.876 0.945 0.777∼1.150 0.574 0.952 0.781∼1.161 0.628
3rd 180 3,800 0.851 0.697∼1.039 0.113 0.792 0.645∼0.972 0.026 0.840 0.681∼1.037 0.105
4th 178 3,984 0.801 0.656∼0.979 0.030 0.727 0.590∼0.897 0.003 0.791 0.637∼0.984 0.035
5th 180 4,040 0.799 0.655∼0.976 0.028 0.691 0.557∼0.858 < 0.001 0.775 0.619∼0.971 0.027
P-value for trend1),2) 0.005 < 0.001 0.009

1) Calculated from Cox proportional hazards model 2) P-value for trend was calculated by treating the KHEI quintile as a continuous variable after substitution each quintile value with its medium value 3) Adjusted for adjusted for age (year) and energy intake (kcal/day) 4) Adjusted for age (year), energy intake (kcal/day), income (< 100; 100∼199; 200∼3990; ≥ 400 (10,000 won)), education (elementary school graduate or less; middle school graduate; high school graduate; college graduate or more), physical activity (METs), smoking (pack-years), and alcohol intake (g/day) 5) KHEI: Korean Healthy Eating Index, HR: hazard ratio, CI: confidence interval

Table 6.
Incidence risk of metabolic syndrome across quintiles of Korean Healthy Eating Index scores in women (N=2,744)
Quintiles of KHEI5) scores ) No. of cases Crude Model 13) Model 24)
Total person-years HR5) 95% CI5) P-value1) HR 95% CI P-value HR 95% CI P-value
1st 218 3,556 1.000   1.000   1.000  
2nd 191 3,752 0.829 0.683∼1.007 0.059 0.839 0.689∼1.021 0.080 0.931 0.759∼1.142 0.492
3rd 203 3,671 0.905 0.747∼1.095 0.305 0.898 0.739∼1.093 0.283 1.036 0.846∼1.268 0.734
4th 180 3,781 0.781 0.641∼0.952 0.014 0.799 0.650∼0.981 0.032 0.976 0.787∼1.211 0.825
5th 151 4,148 0.593 0.482∼0.729 < 0.001 0.606 0.486∼0.755 < 0.001 0.774 0.615∼0.975 0.030
P-value for trend1),2) < 0.001 < 0.001 0.093

1) Calculated from Cox proportional hazards model 2) P for trend was calculated by treating the KHEI quintile as a continuous variable after substitution each quintile value with its medium value 3) Adjusted for adjusted for age (year) and energy intake (kcal/day) 4) Adjusted for age (year), energy intake (kcal/day), income (< 100; 100∼199; 200∼3990; ≥ 400 (10,000 won)), education (elementary school graduate or less; middle school graduate; high school graduate; college graduate or more), physical activity (METs), smoking (pack-years), and alcohol intake (g/day) 5) KHEI: Korean Healthy Eating Index, HR: hazard ratio, CI: confidence interval

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