Table 5 Multinomial logistic regression of trajectory type (Reference: continuing-high group)
From: Urban-rural disparities in the healthy ageing trajectory in China: a population-based study
Continuing-low | Continuing-middle | Continuing-middle-to-high | Significantly-declining | |||||
|---|---|---|---|---|---|---|---|---|
RRR(95%CI) | P value | RRR(95%CI) | P value | RRR(95%CI) | P value | RRR(95%CI) | P value | |
Residence | ||||||||
Urban | 0.31(0.18,0.53) | < 0.001 | 0.59(0.49,0.71) | < 0.001 | 1.09(0.88,1.36) | 0.432 | 0.66(0.39,1.13) | 0.133 |
Educational level | ||||||||
Upper secondary & vocational | 0.42(0.17,1.02) | 0.054 | 0.28(0.21,0.38) | < 0.001 | 0.39(0.28,0.56) | < 0.001 | 0.58(0.27,1.26) | 0.168 |
Tertiary | – | – | 0.12(0.05,0.29) | < 0.001 | 0.21(0.08,0.56) | 0.002 | – | – |
Marital status | ||||||||
Married | 1.49(0.67,3.30) | 0.324 | 0.74(0.55,1.00) | 0.049 | 0.69(0.48,0.98) | 0.041 | 0.62(0.29,1.31) | 0.207 |
Household per capita consumption | ||||||||
Low-middle | 1.50(0.87,2.58) | 0.142 | 1.03(0.85,1.25) | 0.750 | 1.20(0.94,1.52) | 0.148 | 1.60(0.91,2.82) | 0.106 |
Middle-high | 1.64(0.92,2.91) | 0.093 | 0.95(0.77,1.17) | 0.664 | 1.10(0.84,1.43) | 0.481 | 1.24(0.65,2.36) | 0.508 |
High | 1.19(0.57,2.51) | 0.643 | 1.00(0.77,1.29) | 0.977 | 1.46(1.07,2.00) | 0.018 | 1.47(0.69,3.12) | 0.313 |
Public health insurance coverage | ||||||||
Covered | 2.06(0.70,0.08) | 0.189 | 1.05(0.75,1.47) | 0.771 | 1.12(0.75,1.69) | 0.571 | 0.62(0.29,1.37) | 0.241 |
Current work status | ||||||||
Working | 0.11(0.07,0.17) | < 0.001 | 0.54(0.44,0.67) | < 0.001 | 0.59(0.46,0.75) | < 0.001 | 0.49(0.28,0.85) | 0.010 |
Chronic condition | ||||||||
Yes | 2.98(1.24,7.17) | 0.015 | 1.71(1.40,2.10) | < 0.001 | 0.73(0.57,0.92) | 0.007 | 1.05(0.59,1.89) | 0.865 |
Morbidity | 10.80(4.84,24.10) | < 0.001 | 4.08(3.35,4.97) | < 0.001 | 0.70(0.55,0.89) | 0.003 | 1.67(0.96,2.90) | 0.069 |
Gave care to grandchildren | ||||||||
Yes | 0.63(0.41,1.00) | 0.045 | 1.11(0.95,1.30) | 0.169 | 1.04(0.86,1.27) | 0.663 | 1.00(0.63,1.58) | 1.000 |
live near children | ||||||||
Yes | 1.38(0.54,3.49) | 0.499 | 0.905(0.67,1.22) | 0.513 | 1.26(0.84,1.90) | 0.259 | 0.96(0.39,2.41) | 0.936 |
Weekly contact with children | ||||||||
Yes | 0.72(0.33,1.55) | 0.397 | 1.00(0.74,1.34) | 0.984 | 0.82(0.56,1.21) | 0.322 | 0.87(0.37,2.07) | 0.760 |
Gave money to children | ||||||||
Yes | 0.52(0.28,0.96) | 0.037 | 0.79(0.65,0.95) | 0.011 | 0.96(0.76,1.20) | 0.699 | 0.74(0.41,1.33) | 0.308 |
Received money from children | ||||||||
Yes | 1.05(0.68,1.63) | 0.823 | 1.11(0.94,1.30) | 0.218 | 1.06(0.87,1.30) | 0.554 | 0.64(0.39,1.07) | 0.087 |
Alcohol intake | ||||||||
Drink | 0.44(0.26,0.75) | 0.003 | 0.40(0.34,0.47) | < 0.001 | 0.21(0.16,0.26) | < 0.001 | 0.52(0.32,0.87) | 0.012 |
Smoking status | ||||||||
Quit now | 0.38(0.20,0.72) | 0.003 | 0.14(0.11,0.18) | < 0.001 | 0.03(0.02,0.06) | < 0.001 | 0.31(0.15,0.68) | 0.004 |
Still | 0.25(0.15,0.41) | < 0.001 | 0.12(0.10,0.15) | < 0.001 | 0.03(0.02,0.05) | < 0.001 | 0.28(0.17,0.47) | < 0.001 |
Social participation | ||||||||
Yes | 0.29(0.18,0.47) | < 0.001 | 0.88(0.75,1.02) | 0.090 | 1.12(0.93,1.36) | 0.237 | 1.14(0.72,1.79) | 0.575 |
Physical examination | ||||||||
Yes | 0.67(0.43,1.03) | 0.065 | 0.85(0.72,0.99) | 0.035 | 0.81(0.66,0.98) | 0.030 | 0.73(0.46,1.15) | 0.170 |