Table 3.
Characteristic of participants across quintiles of dietary pattern scores
| Sichuan Basin | * | Yunnan–Kweichow Plateau | * | Qinghai–Tibet Plateau | * | ||||
|---|---|---|---|---|---|---|---|---|---|
| Q1 | Q5 | Q1 | Q5 | Q1 | Q5 | ||||
| Age | 51.67 (11.08) | 47.69 (10.73) | 47.55 (11.44) | 51.40 (10.11) | 49.54 (10.86) | 50.13 (10.98) | |||
| Male sex (%) | 4470 (33.7) | 5662 (42.6) | 3279 (24.7) | 7022 (52.9) | 3316 (25.0) | 6611 (49.8) | |||
| Han majority (%) | 3763 (28.3) | 11,311 (85.2) | 8627 (65.0) | 7347 (55.3) | 6362 (47.9) | 6766 (51.0) | |||
| Rural residents (%) | 11,572 (87.2) | 5295 (39.9) | 6332 (47.7) | 10,605 (79.9) | 9221 (69.5) | 9399 (70.8) | |||
| Physical activity (METs-h/day)a | 29.56 (20.03) | 24.43 (15.74) | 21.24 (14.84) | 30.18 (19.01) | 28.41 (18.43) | 26.51 (18.55) | |||
| With central obesityb (%) | 4198 (31.7) | 3413 (25.8) | 3905 (29.5) | 3378 (25.5) | 3331 (25.1) | 4857 (36.7) | |||
| Education level | |||||||||
| No formal school | 6050 (45.6) | 1131 (8.5) | 3124 (23.5) | 3583 (27.0) | 3990 (30.1) | 4154 (31.3) | |||
| Primary school | 4059 (30.6) | 2301 (17.3) | 2083 (15.7) | 4619 (34.8) | 3227 (24.3) | 3661 (27.6) | |||
| Middle and high school | 2776 (20.9) | 7010 (52.8) | 5130 (38.6) | 4582 (34.5) | 4597 (34.6) | 4296 (32.4) | |||
| University | 390 (2.9) | 2834 (21.3) | 2939 (22.1) | 492 (3.7) | 1462 (11.0) | 1165 (8.8) | |||
| Annual income (%) | |||||||||
| < ¥12,000 | 3722 (28.1) | 1043 (7.9) | 1391 (10.5) | 2876 (21.7) | 2860 (21.6) | 2013 (15.2) | |||
| ¥12,000–19999 | 3253 (24.5) | 1508 (11.4) | 2039 (15.4) | 2783 (21.0) | 2573 (19.4) | 2721 (20.5) | |||
| ¥20,000–59999 | 4718 (35.6) | 4570 (34.5) | 4585 (34.6) | 5290 (39.9) | 4566 (34.4) | 5145 (38.8) | |||
| ¥60,000–99999 | 1018 (7.7) | 2857 (21.6) | 2447 (18.5) | 1339 (10.1) | 1732 (13.1) | 1767 (13.3) | |||
| ¥100,000–199999 | 454 (3.4) | 2475 (18.7) | 2110 (15.9) | 790 (6.0) | 1281 (9.7) | 1233 (9.3) | |||
| > ¥200,000 | 99 (0.7) | 801 (6.0) | 683 (5.2) | 179 (1.4) | 246 (1.9) | 383 (2.9) | |||
| Occupation (%) | |||||||||
| Primary industry | 7280 (54.9) | 2014 (15.2) | 2411 (18.2) | 7471 (56.3) | 5177 (39.0) | 5016 (37.8) | |||
| Secondary industry | 659 (5.0) | 1310 (9.9) | 774 (5.8) | 1145 (8.6) | 1075 (8.1) | 796 (6.0) | |||
| Tertiary industry | 3818 (28.8) | 6407 (48.3) | 6722 (50.7) | 3099 (23.3) | 5099 (38.4) | 4662 (35.1) | |||
| Unemployed | 1508 (11.4) | 3534 (26.6) | 3359 (25.3) | 1557 (11.7) | 1912 (14.4) | 2794 (21.1) | |||
| Smoking status (%) | |||||||||
| Never | 10,623 (80.0) | 9638 (72.6) | 11,617 (87.5) | 8248 (62.1) | 11,301 (85.1) | 9018 (67.9) | |||
| Previous | 2268 (17.1) | 2946 (22.2) | 1292 (9.7) | 4337 (32.7) | 1651 (12.4) | 3526 (26.6) | |||
| Current | 385 (2.9) | 692 (5.2) | 367 (2.8) | 691 (5.2) | 324 (2.4) | 732 (5.5) | |||
| Without family history of CVDc (%) | 10,486 (79.0) | 7975 (60.1) | 8576 (64.6) | 9668 (72.8) | 9395 (70.8) | 9459 (71.2) | |||
| Menopaused (%) | |||||||||
| Premenopause | 3814 (28.7) | 4667 (35.2) | 5992 (45.1) | 2906 (21.9) | 5077 (38.2) | 3506 (26.4) | |||
| Perimenopause | 602 (4.5) | 537 (4.0) | 647 (4.9) | 465 (3.5) | 734 (5.5) | 432 (3.3) | |||
| Post-menopause | 4389 (33.1) | 2410 (18.2) | 3357 (25.3) | 2883 (21.7) | 4149 (31.3) | 2726 (20.5) | |||
| Without insomnia | 7238 (54.7) | 7917 (59.9) | 7988 (60.4) | 7641 (58.0) | 7234 (54.7) | 7938 (60.1) | |||
| Energy intake (Kcal/day) | 10,775.52 (3,871.93) | 15,921.89 (4,445.82) | 11,860.37 (4,085.58) | 16,475.08 (4,451.20) | 10,953.17 (3,762.20) | 16,410.08 (4,613.38) | |||
| Heavy alcohol intake e (%) | 489 (3.7) | 1250 (9.4) | 98 (0.7) | 2397 (18.1) | 248 (1.9) | 1333 (10.0) | |||
| Married or cohabit (%) | 11,676 (87.9) | 11,962 (90.1) | 11,755 (88.5) | 11,998 (90.4) | 11,672 (87.9) | 12,091 (91.1) | |||
CVD cardiovascular disease
Q: represent the quintile of dietary pattern score
*All p values are < 0.05
aMETs-h/day: hours of metabolic equivalent tasks per day