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. 2023 Nov 22;131(7):1236–1243. doi: 10.1017/S0007114523002647

Table 1.

Baseline characteristics of study participants by dietary quality (DQI-I) score*

Characteristics DQI-I quartiles P for trend
Overall (n 1547) Q1 (n 388) Q2 (n 360) Q3 (n 397) Q4 (n 402)
n % n % n % n % n %
DQI-I score
 Mean 35·8 19·9 31·2 40·1 51·1 < 0·001
 sd 12·3 4·8 2·5 2·6 4·9
Age (years)
 Mean 59·2 58·6 59·2 59·3 59·6 0·27
 sd 7·5 7·1 7·6 7·5 7·7
Female 911 58·9 264 68·0 210 58·3 205 51·6 232 57·7 < 0·001
Ethnicity 0·005
 Chinese 559 36·1 132 34·0 130 36·1 145 36·5 152 37·8
 Malay 437 28·3 139 35·8 97 26·9 92 23·2 109 27·1
 Indian 551 35·6 117 30·2 133 36·9 160 40·3 141 35·1
Ever smoker 338 21·9 77 19·9 84 23·3 102 25·7 75 18·7 0·07
Physical activity (MET-h/d)
 Median 6·5 5·4 6·2 6·4 8·0 < 0·001
 25th, 75th percentile 3·0, 12·8 2·5, 11·5 2·8, 12·8 3·0, 12·4 4·0, 14·4

DQI-I, Dietary Quality Index – International; MET, metabolic equivalents of task.

*

Values are expressed as mean (sd) or median (25th, 75th percentile) for continuous variables based on data distribution and as n (%) for categorical variables. Pearson’s χ 2 test, Kruskal–Wallis test and ANOVA were conducted for categorical, nonnormal and normally distributed variables, respectively.