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. 2021 Jun 24;13(7):2179. doi: 10.3390/nu13072179

Table 1.

Characteristics of 269 Chinese participants with hyperlipidemia according to gender 1,2.

Variables All
(n = 269)
Female
(n = 202)
Male
(n = 67)
p Values
Age, year 58 ± 8 58 ± 7 57 ± 9 0.219
Body weight, kg 60.9 ± 10.9 57.8 ± 9.1 70.2 ± 10.7 <0.001
Height, m 158.6 ± 8.2 155.6 ± 5.8 167.8 ± 7.3 <0.001
BMI, kg/m2 24.1 ± 3.2 23.9 ± 3.2 24.9 ± 3.1 0.024
 Underweight (BMI < 18.5) 12 (4.5%) 2 (3.0%) 10 (5.0%) 0.563
 Normal weight (18.5 ≤ BMI ≤ 23.9) 120 (44.6%) 26 (38.8%) 94 (46.5%)
 Overweight (24.0 ≤ BMI ≤ 27.9) 106 (39.4%) 30 (44.8%) 76 (37.6%)
 Obese (BMI ≥ 28) 31 (11.5%) 9 (13.4%) 22 (10.9%)
Waist circumference, cm 85.2 ± 9.9 83.5 ± 10.0 90.2 ± 7.8 <0.001
Central obesity 0.642
 Yes 119 (44.2%) 91 (45.0%) 28 (41.8%)
 No 150 (55.8%) 111 (55.0%) 39 (58.2%)
Physical activity status (MET-h/week) 94.9 ± 70.3 100.0 ± 78.2 79.6 ± 33.5 <0.001
Marital status 0.182
 Married 249 (92.6%) 184 (91.1%) 65 (97.0%)
 Other 20 (7.4%) 18 (8.9%) 2 (3.0%)
Education 0.006
 Primary school 8 (3.0%) 8 (4.0%) 0 (0%)
 Junior high school 37 (13.8%) 28 (13.9%) 9 (13.4%)
 High school/secondary school 107 (39.8%) 83 (41.1%) 24 (35.8%)
 College 70 (26.0%) 57 (28.2%) 13 (19.4%)
 Bachelor’s degree or postgrad 47 (17.5%) 26 (12.9%) 21 (31.3%)
Smoking status <0.001
 Yes 18 (6.7%) 0 (0%) 18 (26.9%)
 No 251 (93.3%) 202 (100%) 49 (73.1%)
Employment <0.001
 Full-time 70 (26.0%) 36 (17.8%) 34 (50.7%)
 Part-time 10 (3.7%) 9 (4.5%) 1 (1.5%)
 Other 189 (70.3%) 157 (77.8%) 32 (47.8%)

1 Data are presented as mean ± SD or n (%). MET, metabolic equivalent tasks. 2 BMI categories were based on criteria for Chinese adults: underweight defined as BMI < 18.5 kg/m2; normal weight defined as 18.5 ≤ BMI ≤ 23.9 kg/m2; overweight as 24 ≤ BMI ≤ 27.9 kg/m2; obese defined as BMI ≥ 28 kg/m2. Central obesity was defined as waist circumference ≥ 90 cm for men and ≥ 85 cm for women based on criteria for Chinese adults. Differences in characteristics between female and male participants were compared using the 2-sample t test for continuous variables or chi-square for categorical variables.