Table 1.
All | Non-SP | Occasional | Weekly | Daily | |
---|---|---|---|---|---|
Number of participants | 9422 | 4667 | 1411 | 1101 | 2243 |
Age | 57.68 ± 8.24 | 58.06 ± 8.05 | 56.44 ± 7.94 | 56.72 ± 8.34 | 58.17 ± 8.64 |
Gender | |||||
Male | 4362 (46.30%) | 2130 (45.64%) | 714 (50.60%) | 586 (53.22%) | 932 (41.55%) |
Female | 5060 (53.70%) | 2537 (54.36%) | 697 (49.40%) | 515 (46.78%) | 1311 (58.45%) |
Education levels | |||||
Less than lower secondary | 8362 (88.75%) | 4298 (92.09%) | 1239 (87.81%) | 934 (84.83%) | 1891 (84.31%) |
Upper secondary & vocational training | 933 (9.90%) | 344 (7.37%) | 154 (10.91%) | 146 (13.26%) | 289 (12.88%) |
Tertiary | 127 (1.35%) | 25 (0.54%) | 18 (1.28%) | 21 (1.91%) | 63 (2.81%) |
Marital status | |||||
Divorced or widowed | 951 (10.09%) | 476 (10.20%) | 120 (8.50%) | 89 (8.08%) | 266 (11.86%) |
Married | 8471 (89.91%) | 4191 (89.80%) | 1291 (91.50%) | 1012 (91.92%) | 1977 (88.14%) |
Hukou status | |||||
Agricultural | 7711 (81.85%) | 4009 (85.92%) | 1182 (83.77%) | 880 (79.93%) | 1640 (73.12%) |
Non-agricultural | 1647 (17.48%) | 625 (13.39%) | 223 (15.80%) | 213 (19.35%) | 586 (26.13%) |
Other | 63 (0.67%) | 32 (0.69%) | 6 (0.43%) | 8 (0.73%) | 17 (0.76%) |
Rural/urban residence | |||||
Rural | 6153 (65.30%) | 3160 (67.71%) | 974 (69.03%) | 717 (65.12%) | 1302 (58.05%) |
Urban | 3269 (34.70%) | 1507 (32.29%) | 437 (30.97%) | 384 (34.88%) | 941 (41.95%) |
Morbidity | |||||
None | 2843 (30.17%) | 1397 (29.93%) | 431 (30.55%) | 337 (30.61%) | 678 (30.23%) |
Single | 2805 (29.77%) | 1419 (30.40%) | 442 (31.33%) | 309 (28.07%) | 635 (28.31%) |
Morbidity | 3774 (40.06%) | 1851 (39.66%) | 538 (38.13%) | 455 (41.33%) | 930 (41.46%) |
Public health insurance coverage | |||||
Not covered | 566 (6.02%) | 289 (6.21%) | 69 (4.90%) | 57 (5.18%) | 151 (6.76%) |
Covered | 8834 (93.98%) | 4367 (93.79%) | 1340 (95.10%) | 1043 (94.82%) | 2084 (93.24%) |
Current work status | |||||
Not working | 2319 (24.68%) | 1036 (22.27%) | 252 (17.89%) | 242 (22.04%) | 789 (35.25%) |
Working | 7078 (75.32%) | 3616 (77.73%) | 1157 (82.11%) | 856 (77.96%) | 1449 (64.75%) |
Alcohol intake | |||||
Do not drink | 6308 (66.95%) | 3246 (69.55%) | 858 (60.81%) | 668 (60.67%) | 1536 (68.48%) |
Drink | 3114 (33.05%) | 1421 (30.45%) | 553 (39.19%) | 433 (39.33%) | 707 (31.52%) |
Smoking status | |||||
Never | 5810 (61.67%) | 2939 (62.99%) | 794 (56.27%) | 620 (56.31%) | 1457 (64.96%) |
Quit now | 752 (7.98%) | 362 (7.76%) | 124 (8.79%) | 104 (9.45%) | 162 (7.22%) |
Smoke | 2859 (30.35%) | 1365 (29.25%) | 493 (34.94%) | 377 (34.24%) | 624 (27.82%) |
Household per capita consumption | |||||
Low | 3178 (39.28%) | 1699 (42.71%) | 489 (39.79%) | 344 (36.13%) | 646 (33.45%) |
Low to middle | 2369 (29.28%) | 1192 (29.96%) | 363 (29.54%) | 259 (27.21%) | 555 (28.74%) |
Middle | 1706 (21.09%) | 767 (19.28%) | 260 (21.16%) | 230 (24.16%) | 449 (23.25%) |
High | 837 (10.35%) | 320 (8.04%) | 117 (9.52%) | 119 (12.50%) | 281 (14.55%) |
SP Social participation
*Mean ± standard deviation was used to describe continuous variables, and number (constituent ratio [%]) was used to describe categorical variables