Table 2.
Sociodemographic characteristics of lifestyle clusters
| Males (n, %) | Cluster 1 (n = 21,494, 19.91%) | Cluster 2 (n = 10,790, 10.00%) | Cluster 3 (n = 10,092, 9.35%) | Cluster 4 (n = 16,160, 14.97%) | Cluster 5 (n = 3917, 3.63%) | Cluster 6 (n = 7656, 7.09%) | Cluster 7 (n = 17,723, 16.42%) | Cluster 8 (n = 1865, 1.73%) | Cluster 9 (n = 18,234, 16.89%) | χ2 |
| Age | ||||||||||
| < 45 | 11,889(55.31) | 7844(72.70) | 4711(46.68) | 8040(49.75) | 195(4.98) | 4538(59.27) | 8485(47.88) | 337(18.07) | 11,400(62.52) | 7469.931*** |
| ≥ 45 | 9605(44.69) | 2946(27.30) | 5381(53.32) | 8120(50.25) | 3722(95.02) | 3118(40.73) | 9238(52.12) | 1528(81.93) | 6834(37.48) | |
| Education level | ||||||||||
| Junior school and below | 942(4.38) | 869(8.05) | 757(7.50) | 684(4.23) | 646(16.49) | 1009(13.18) | 1187(6.70) | 550(29.49) | 2064(11.32) | 5388.775*** |
| Senior high school | 1974(9.18) | 1108(10.27) | 1573(15.59) | 1491(9.23) | 970(24.76) | 1356(17.71) | 2647(14.94) | 554(29.71) | 2935(16.10) | |
| College and above | 12,673(58.96) | 5809(53.84) | 5462(54.12) | 9979(61.75) | 1634(41.72) | 3534(46.16) | 10,060(56.76) | 450(24.13) | 9254(50.75) | |
| Missing data | 5905(27.47) | 3004(27.84) | 2300(22.79) | 4006(24.79) | 667(17.03) | 1757(22.95) | 3829(21.60) | 311(16.68) | 3981(21.83) | |
| Marital status | ||||||||||
| Married | 18,017(83.82) | 8874(82.24) | 8924(88.43) | 14,620(90.47) | 3692(94.26) | 6697(87.47) | 15,907(89.75) | 1661(89.06) | 16,184(88.76) | 1542.946*** |
| Unmarried | 3085(14.35) | 1725(15.99) | 921(9.13) | 1290(7.98) | 116(2.96) | 821(10.72) | 1439(8.12) | 120(6.43) | 1685(9.24) | |
| Divorced/widowed | 241(1.12) | 87(0.81) | 208(2.06) | 183(1.13) | 98(2.50) | 106(1.38) | 312(1.76) | 80(4.29) | 303(1.66) | |
| Missing data | 151(0.70) | 104(0.96) | 39(0.39) | 67(0.41) | 11(0.28) | 32(0.42) | 65(0.37) | 4(0.21) | 62(0.34) | |
| Occupation category | ||||||||||
| Mental labour | 8349(38.84) | 3634(33.68) | 4327(42.88) | 7479(46.28) | 856(21.85) | 2814(36.76) | 8251(46.56) | 321(17.21) | 7296(40.01) | 8779.203*** |
| Physical labour | 5049(23.49) | 3213(29.78) | 2294(22.73) | 3208(19.85) | 408(10.42) | 2169(28.33) | 3800(21.44) | 382(20.48) | 4791(26.28) | |
| Other | 2161(10.05) | 979(9.07) | 1144(11.34) | 1423(8.81) | 1967(50.22) | 890(11.62) | 1719(9.70) | 831(44.56) | 2084(11.43) | |
| Missing data | 5935(27.61) | 2964(27.47) | 2327(23.06) | 4050(25.06) | 686(17.51) | 1783(23.29) | 3953(22.30) | 331(17.75) | 4063(22.28) | |
| Type of medical insurance | ||||||||||
| Urban resident medical insurance | 1150(5.35) | 650(6.02) | 585(5.80) | 894(5.53) | 299(7.63) | 564(7.37) | 1139(6.43) | 220(11.80) | 1262(6.92) | 2865.047*** |
| Urban work medical insurance | 12,480(58.06) | 5519(51.15) | 6034(59.79) | 9809(60.70) | 2556(65.25) | 3779(49.36) | 10,640(60.03) | 840(45.04) | 9554(52.40) | |
| Agricultural cooperative medical insurance | 1119(5.21) | 1164(10.79) | 762(7.55) | 808(5.00) | 229(5.85) | 1157(15.11) | 1350(7.62) | 363(19.46) | 2528(13.86) | |
| No medical insurance | 256(1.19) | 202(1.87) | 135(1.34) | 142(0.88) | 40(1.02) | 167(2.18) | 212(1.20) | 59(3.16) | 345(1.89) | |
| Missing data | 6489(30.19) | 3255(30.17) | 2576(25.53) | 4507(27.89) | 793(20.25) | 1989(25.98) | 4382(24.72) | 383(20.54) | 4545(24.93) | |
| MAFLD | ||||||||||
| Yes | 10,332(48.07) | 5385(49.91) | 5433(53.83) | 9431(58.36) | 1998(51.01) | 4147(54.17) | 10,391(58.63) | 975(52.28) | 10,586(58.06) | 786.207*** |
| No | 11,162(51.93) | 5405(50.09) | 4659(46.17) | 6729(41.64) | 1919(48.99) | 3509(45.83) | 7332(41.37) | 890(47.72) | 7648(41.94) | |
| Females (n, %) | Cluster 1 (n = 80,551, 90.93%) | Cluster 2 (n = 1040, 1.17%) | Cluster 3 (n = 718, 0.81%) | Cluster 4 (n = 6275, 7.08%) | χ2 | |||||
| Age | ||||||||||
| < 45 | 44,818(55.64) | 582(55.96) | 501(69.78) | 3668(58.45) | 74.821*** | |||||
| ≥ 45 | 35,733(44.36) | 458(44.04) | 217(30.22) | 2607(41.55) | ||||||
| Education level | ||||||||||
| Junior school and below | 10,371(12.88) | 184(17.69) | 102(14.21) | 804(12.81) | 137.908*** | |||||
| Senior high school | 11,153(13.85) | 188(18.08) | 153(21.31) | 996(15.87) | ||||||
| College and above | 36,673(45.53) | 446(42.88) | 315(43.87) | 2970(47.33) | ||||||
| Missing data | 22,354(27.75) | 222(21.35) | 148(20.61) | 1505(23.98) | ||||||
| Marital status | ||||||||||
| Married | 67,289(83.54) | 760(73.08) | 500(69.64) | 4951(78.90) | 452.223*** | |||||
| Unmarried | 9240(11.47) | 164(15.77) | 149(20.75) | 913(14.55) | ||||||
| Divorced/widowed | 2612(3.24) | 107(10.29) | 65(9.05) | 338(5.39) | ||||||
| Missing data | 1410(1.75) | 9(0.87) | 4(0.56) | 73(1.16) | ||||||
| Occupation category | ||||||||||
| Mental labour | 26,065(32.36) | 334(32.12) | 239(33.29) | 2330(37.13) | 140.534*** | |||||
| Physical labour | 16,184(20.09) | 195(18.75) | 120(16.71) | 1133(18.06) | ||||||
| Other | 16,586(20.59) | 287(27.60) | 202(28.13) | 1324(21.10) | ||||||
| Missing data | 21,716(26.96) | 224(21.54) | 157(21.87) | 1488(23.71) | ||||||
| Type of medical insurance | ||||||||||
| Urban resident medical insurance | 5977(7.42) | 127(12.21) | 80(11.14) | 526(8.38) | 178.411*** | |||||
| Urban work medical insurance | 40,184(49.89) | 486(46.73) | 326(45.40) | 3128(49.85) | ||||||
| Agricultural cooperative medical insurance | 9220(11.45) | 124(11.92) | 97(13.51) | 768(12.24) | ||||||
| No medical insurance | 1371(1.70) | 44(4.23) | 35(4.87) | 159(2.53) | ||||||
| Missing data | 23,799(29.55) | 259(24.90) | 180(25.07) | 1694(27.00) | ||||||
| MAFLD | ||||||||||
| Yes | 16,760(20.81) | 280(26.92) | 151(21.03) | 1303(20.76) | 23.314*** | |||||
| No | 63,791(79.19) | 760(73.08) | 567(78.97) | 4972(79.24) | ||||||
*** P < 0.001