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. 2018 May 29;8:8207. doi: 10.1038/s41598-018-26320-9

Table 1.

Baseline characteristics of the study population.

Total (n = 1939) Recommended food score (RFS) p-value
Q1 (n = 465) Q2 (n = 486) Q3 (n = 480) Q4 (n = 508)
Score, mean/median (range) 19.6/20 (0–48) 7.6/8 (0–12) 16.1/16 (13–19) 22.5/22 (20–25) 31.2/30 (26–48)
Age, years 56.6 ± 0.2 59.9 ± 0.4a 58.3 ± 0.4b 55.2 ± 0.4c 53.2 ± 0.3d <0.001
Sex %, (n)
Male 46.0 (892) 46.7 (217) 45.5 (221) 49.6 (238) 42.5 (216) 0.165
Female 54.0 (1,047) 53.3 (248) 54.5 (265) 50.4 (242) 57.5 (292)
Body mass index, kg/m2 24.3 ± 0.1 24.2 ± 0.2 24.2 ± 0.1 24.3 ± 0.1 24.5 ± 0.1 0.349
Education %, (n)
Elementary 40.9 (792) 62.3 (289) 50.0 (243) 31.6 (151) 21.5 (109) <0.001
Middle school 20.3 (392) 17.7 (82) 21.2 (103) 20.7 (99) 21.3 (108)
High school 27.7 (535) 15.3 (71) 21.6 (105) 33.9 (162) 38.9 (197)
University 11.2 (216) 4.7 (22) 7.2 (35) 13.8 (66) 18.3 (93)
Income status %, (n)
Lowest 37.4 (718) 59.0 (269) 44.5 (215) 29.3 (140) 18.7 (94) <0.001
Lower middle 22.9 (439) 22.8 (104) 25.3 (122) 20.5 (98) 22.9 (115)
Upper middle 27.7 (531) 14.7 (67) 22.8 (110) 36.2 (173) 36.0 (181)
Highest 12.1 (232) 3.5 (16) 7.5 (36) 14.0 (67) 22.5 (113)
Smoking status %, (n)
Never 63.1 (1,222) 60.0 (279) 64.2 (312) 60.8 (292) 66.9 (339) <0.001
Former 16.7 (323) 13.8 (64) 14.8 (72) 20.4 (98) 17.6 (89)
Current 20.3 (393) 26.2 (122) 21.0 (102) 18.9 (90) 15.6 (79)
Drinking status %, (n)
Never 48.3 (935) 52.0 (242) 49.8 (242) 45.2 (217) 46.2 (234) 0.358
Former 4.3 (84) 4.7 (22) 3.9 (19) 4.4 (21) 4.3 (22)
Current 47.4 (919) 43.2 (201) 46.3 (225) 50.4 (242) 49.5 (251)
Metabolic equivalent (h) 53.5 ± 0.4 58.2 ± 0.8a 54.9 ± 0.8b 50.0 ± 0.7c 51.1 ± 0.7c <0.001
Energy intake, kcal 1775.2 ± 13.6 1449.5 ± 19.6a 1665.2 ± 22.2b 1825.7 ± 22.8c 2127.0 ± 31.5d <0.001
Hypertension %, (n) 31.6 (613) 37.2 (173) 34.4 (167) 30.2 (145) 25.2 (128) <0.001

Values are expressed as means ± standard error for continuous variables and percentages and numbers counts for categorical variables. Statistical differences were determined using chi-square test for categorical variables and one-way analysis of variance (ANOVA) for continuous variables with Bonferroni’s multiple correction (p < 0.05).