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. 2020 Jan 21;14(1):62–69. doi: 10.4162/nrp.2020.14.1.62

Table 1. 1. Comparison of age and age-adjusted values of variables in 41,073 adults aged 30 years or older across survey cycles of the KNHANES data and the KOSIS data.

Variables 3rd (2005) 4th (2007-2009) 5th (2010-2012) 6th (2013-2015) P for trend
KNHANES data
 Participants (n) 3,940 12,288 13,208 11,637
 Hyper-LDL-cholesterolemia (%) 32.7 34.5 37.3 36.9 < 0.001
 Age (yrs) 50.4 53.1 54.2 54.4 < 0.001
 Male (%) 41.3 39.6 40.1 40.5 0.68
 Married (%) 96.8 96.9 95.7 94.5 < 0.001
 Office job worker (%) 12.7 14.4 18.4 20.0 < 0.001
 Low-income household1) (%) 22.5 24.7 17.4 15.9 < 0.001
 Body mass index (kg/m2) 23.9 23.8 23.8 23.9 0.69
 Body mass index ≥ 25 kg/m2 (%) 33.5 32.6 32.5 33.7 0.05
 Current smoker (%) 21.0 18.6 15.7 14.2 < 0.001
 Alcohol drinker2) (%) 69.1 66.3 67.5 66.4 < 0.001
 Sleep duration ≤ 6 hours/d (%) 41.4 42.5 43.4 47.7 < 0.001
 Experiencing stress (%) 33.6 26.7 23.9 22.3 < 0.001
 Having depressed mood (%) 16.5 16.2 12.7 7.8 < 0.001
 Use of oral contraceptives3) (%) 19.3 18.5 16.3 15.9 < 0.001
 Calorie intake (kcal/d) 1,919.8 1,793.3 1,940.1 1,961.6 < 0.001
 Total fat intake (g/d) 36.3 30.8 36.9 39.6 < 0.001
 Consumption of high-fat foods
  Meat (g/d) 72.8 67.8 82.8 84.5 < 0.001
  Eggs (g/d) 18.5 17.1 20.5 23.9 < 0.001
  Dairy products (g/d) 50.5 54.7 74.4 74.7 < 0.001
  Nuts (g/d) 4.63 3.01 5.79 9.28 < 0.001
  Vegetable oil products (g/d) 6.65 6.27 7.21 7.42 < 0.001
  Animal fat products (g/d) 1.75 0.07 0.12 0.17 < 0.001
KOSIS data
 Consumer price index for gasoline 82.7 94.1 109.3 102.7 < 0.001

KNHANES, Korea National Health and Nutrition Examination Survey; KOSIS, Korean Statistical Information Service.

Hyper-LDL-cholesterolemia is defined as having serum LDL cholesterol levels ≥130 mg/dL.

1) Based on monthly household income and the number of family members

2) Consumption of an alcoholic beverage at least once a month over the previous year

3) Among women

Number of participants (year): 3,940 (2005), 2,204 (2007), 4,803 (2008), 5,281 (2009), 4,423 (2010), 4,527 (2011), 4,258 (2012), 3,881 (2013), 3,832 (2014), 3,924 (2015)

P for trend was obtained using the Chi-square test for trend (Cochran-Armitage test) and linear trend analysis in ANOVA.