Table 1.
Different demographic characteristics of migrant workers in China across categories of sleep duration
| Characteristics | Sleep duration (hour) | |||||
| <6 n=1520 (2.7) |
6 n=4589 (9.5) |
7 n=10 660 (24.5) |
8 n=19 525 (45.9) |
≥9 n=7361 (17.4) |
P value | |
| Sex | ||||||
| Male | 847 (2.9) | 2819 (10.9) | 6231 (26.2) | 10 548 (44.3) | 3762 (15.7) | <0.0001 |
| Female | 673 (2.4) | 1770 (7.5) | 4429 (22.3) | 8977 (48.0) | 3599 (19.8) | |
| Age (years) | ||||||
| 18–44 | 804 (2.3) | 2932 (8.8) | 7907 (24.2) | 15 467 (46.6) | 6049 (18.1) | <0.0001 |
| 45–59 | 716 (6.1) | 1657 (15.1) | 2753 (27.5) | 4058 (39.2) | 1312 (12.1) | |
| Marital status | ||||||
| Unmarried | 161 (1.7) | 684 (7.3) | 2081 (22.4) | 4530 (47.1) | 2123 (21.5) | <0.0001 |
| Married/cohabitating | 1289 (2.9) | 3748 (10.1) | 8353 (25.2) | 14 631 (45.6) | 5106 (16.2) | |
| Widowed/divorced/separated | 70 (6.3) | 157 (14.3) | 226 (24.2) | 364 (39.9) | 132 (15.3) | |
| Educational level | ||||||
| Illiterate or primary school | 433 (4.6) | 906 (11.4) | 1524 (21.2) | 2928 (42.4) | 1381 (20.4) | 0.0236 |
| Junior high school | 609 (3.0) | 1763 (9.4) | 4040 (23.5) | 7732 (46.2) | 3011 (17.9) | |
| Senior high school | 311 (2.2) | 1172 (9.6) | 2763 (25.0) | 5009 (46.2) | 1786 (17.0) | |
| College graduate or above | 167 (1.7) | 748 (8.4) | 2333 (28.1) | 3856 (46.9) | 1183 (14.9) | |
| Industry sector | ||||||
| Manufacturing | 225 (2.3) | 796 (9.1) | 1934 (25.1) | 3324 (45.6) | 1209 (17.9) | 0.0368 |
| Wholesale and retail trade | 257 (2.7) | 723 (9.5) | 1723 (24.4) | 3240 (46.7) | 1142 (16.7) | |
| Accommodation and catering | 216 (2.7) | 706 (9.0) | 1844 (25.2) | 3296 (45.2) | 1353 (17.9) | |
| Services | 271 (3.1) | 794 (10.2) | 1757 (24.4) | 3251 (45.8) | 1190 (16.5) | |
| Construction | 278 (3.5) | 757 (10.2) | 1718 (24.5) | 3300 (45.3) | 1276 (16.5) | |
| Other | 272 (2.9) | 806 (9.9) | 1669 (23.6) | 3087 (45.9) | 1178 (17.7) | |
| Annual household income (RMB, in quartiles) | ||||||
| <20 000 | 475 (2.9) | 1296 (9.3) | 2722 (22.1) | 5257 (45.7) | 2294 (20.0) | <0.0001 |
| 20 000~ | 359 (2.7) | 1000 (8.6) | 2543 (24.4) | 4801 (46.4) | 1811 (17.9) | |
| 26 000~ | 180 (2.5) | 611 (9.2) | 1454 (25.3) | 2638 (45.6) | 999 (17.4) | |
| ≥36 000 | 506 (2.7) | 1682 (10.4) | 3941 (26.0) | 6829 (45.7) | 2257 (15.2) | |
| Inflow area | ||||||
| South | 819 (2.8) | 2338 (9.5) | 5383 (24.1) | 9996 (45.5) | 3930 (18.1) | 0.0097 |
| North | 696 (2.6) | 2231 (9.5) | 5250 (25.4) | 9364 (45.9) | 3348 (16.6) | |
| Migration time (year) | ||||||
| <2 | 335 (2.4) | 888 (8.0) | 2251 (22.3) | 4745 (47.3) | 2059 (20.0) | <0.0001 |
| 2~ | 326 (2.5) | 1082 (8.4) | 2751 (23.5) | 5403 (47.6) | 2039 (18.0) | |
| 4.5~ | 341 (2.4) | 1092 (9.6) | 2553 (24.8) | 4604 (46.0) | 1666 (17.2) | |
| ≥10 | 518 (3.5) | 1527 (12.0) | 3105 (27.4) | 4773 (42.5) | 1597 (14.6) | |
| Working hours (hour) | ||||||
| <8 | 116 (3.0) | 311 (9.2) | 754 (26.1) | 1193 (42.2) | 564 (19.5) | <0.0001 |
| 8~ | 787 (2.3) | 2610 (8.8) | 6474 (23.7) | 12 565 (47.6) | 4583 (17.6) | |
| ≥10 | 617 (3.5) | 1668 (11.1) | 3432 (25.8) | 5767 (43.0) | 2214 (16.6) | |
| Total static behaviour time (hours） | ||||||
| <4 | 803 (3.2) | 2220 (10.3) | 4995 (25.2) | 8756 (44.6) | 3292 (16.7) | <0.0001 |
| ≥4 | 717 (2.3) | 2369 (8.9) | 5665 (24.0) | 10 769 (46.8) | 4069 (18.0) | |
| BMI | ||||||
| ＜18.5 | 1020 (2.6) | 2907 (8.9) | 6918 (23.7) | 13 299 (45.8) | 5418 (19.0) | <0.0001 |
| 18.5–23.9 | 439 (2.9) | 1432 (10.4) | 3193 (26.0) | 5413 (46.3) | 1711 (14.4) | |
| ≥24 | 61 (2.6) | 250 (12.6) | 549 (28.5) | 813 (43.8) | 232 (12.5) | |
| Smoking status | ||||||
| Non-current smoker | 985 (2.4) | 2843 (8.4) | 7123 (23.9) | 13 594 (47.2) | 5142 (18.1) | <0.0001 |
| Current smoker | 535 (3.3) | 1746 (11.8) | 3537 (25.8) | 5931 (43.1) | 2219 (16.0) | |
| Alcohol consumption in the past 12 months | ||||||
| Never drinking | 761 (2.5) | 2102 (8.3) | 5018 (22.5) | 10 259 (48.4) | 3785 (18.3) | <0.0001 |
| Drinking but not excessive | 525 (2.5) | 1849 (10.0) | 4500 (26.5) | 7492 (44.1) | 2912 (16.9) | |
| Excessive drinking | 234 (4.8) | 638 (13.7) | 1142 (25.7) | 1774 (40.9) | 664 (14.9) | |
| Vegetable and fruit intake | ||||||
| Insufficient intake | 642 (2.6) | 2026 (9.6) | 4783 (25.0) | 8678 (45.7) | 3162 (17.1) | 0.1539 |
| Adequate intake | 878 (2.8) | 2563 (9.4) | 5874 (24.2) | 10 845 (46.0) | 4199 (17.6) | |
| Red meat intake | ||||||
| Normal intake | 680 (2.8) | 2011 (9.6) | 4492 (24.4) | 8077 (45.6) | 3111 (17.6) | 0.9821 |
| Excessive intake | 840 (2.6) | 2578 (9.4) | 6168 (24.7) | 11 448 (46.0) | 4250 (17.3) | |
| Hypertensive patients | ||||||
| Yes | 429 (3.9) | 1115 (11.77) | 2066 (26.04) | 3505 (44.44) | 1117 (13.85) | <0.0001 |
| No | 1091 (2.49) | 3474 (9.10) | 8594 (24.26) | 16 020 (46.09) | 6244 (18.06) | |
| Participants with diabetes | ||||||
| Yes | 53 (4.7) | 130 (15.5) | 208 (23.2) | 344 (42.4) | 99 (14.2) | <0.0001 |
| No | 1467 (2.7) | 4459 (9.4) | 10 452 (24.6) | 19 181 (45.9) | 7262 (17.4) | |
| Stroke patients | ||||||
| Yes | 13 (9.9) | 13 (13.7) | 22 (24.6) | 32 (40.1) | 12 (11.7) | 0.0144 |
| No | 1506 (2.7) | 4569 (9.5) | 10 623 (24.6) | 19 465 (45.8) | 7336 (17.4) | |
| Myocardial infarction patients | ||||||
| Yes | 8 (14.8) | 7 (9.5) | 11 (19.1) | 20 (44.8) | 13 (11.8) | 0.0006 |
| No | 1511 (2.7) | 4575 (9.5) | 10 634 (24.6) | 19 477 (45.8) | 7335 (17.4) | |
Data are expressed as n (%). The percentages in table are row percent and were calculated with complex survey design weights. Rao-Scott χ2 tests were conducted to test for differences in percentage for unordered categorical variables and logistic regression models were used to examine the trends for ordered categorical variables.
BMI, body mass index.