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Table 6 Multinomial logistic regression of trajectory type in rural and urban areas (Reference: continuing-high group)

From: Urban-rural disparities in the healthy ageing trajectory in China: a population-based study

  Rural (n = 6167) Urban (n = 3235)
Continuing-low Continuing-middle Continuing-middle-to-high Significantly-declining Continuing-low Continuing-middle Continuing-middle-to-high Significantly-declining
Educational level
 Upper secondary & vocational 0.23(0.05,1.01) 0.29(0.20,0.42)*** 0.29(0.17,0.50)*** 0.70(0.27,1.83) 1.24(0.35,4.33) 0.27(0.17,0.43)*** 0.48(0.30,0.79)** 0.43(0.12,1.56)
 Tertiary 0.20(0.02,2.12) 0.12(0.05,0.33)*** 0.20(0.07,0.57)**
Marital status
 Married 3.09(1.05,9.10)* 0.92(0.02,2.12) 1.01(0.70,1.72) 0.70(0.30,1.67) 0.35(0.10,1.28) 0.44(0.24,0.82)* 0.29(0.15,0.56)*** 0.48(0.10,2.31)
Household per capita consumption
 Low-middle 1.76(0.96,3.22) 1.09(0.87,1.35) 1.22(0.92,1.63) 1.84(0.97,3.49) 0.96(0.27,3.47) 0.82(0.54,1.24) 1.02(0.63,1.63) 0.87(0.25,3.01)
 Middle-high 2.25(1.16,4.34)* 1.01(0.78,1.30) 1.19(0.85,1.67) 1.53(0.71,3.26) 0.79(0.23,2.68) 0.87(0.59,1.28) 0.92(0.58,1.46) 0.83(0.26,2.72)
 High 1.28(0.52,3.15) 0.97(0.69,1.35) 1.48(0.97,2.26) 1.21(0.43,3.40) 0.77(0.18,3.27) 1.04(0.67,1.61) 1.37(0.83,2.26) 1.63(0.49,5.39)
Public health insurance coverage
 Covered 1.83(0.51,6.62) 0.92(0.59,1.43) 1.19(0.67,2.13) 0.97(0.29,3.32) 3.24(0.39,27.06) 1.39(0.82,2.35) 1.16(0.65,2.07) 0.42(0.14,1.24)
Current work status
 Working 0.07(0.04,0.12)*** 0.44(0.33,0.59)*** 0.59(0.41,0.84)** 0.33(0.17,0.65)** 0.32(0.12,0.85)* 0.67(0.49,0.91)* 0.56(0.40,0.80)** 0.78(0.32,1.90)
Chronic condition
 Yes 3.47(1.26,9.59)* 1.67(1.32,2.12)*** 0.67(0.51,0.90)** 1.09(0.54,2.20) 1.18(0.16,8.83) 1.82(1.23,2.69)** 0.89(0.58,1.35) 1.05(0.36,3.05)
 Morbidity 10.72(4.15,27.74)*** 4.08(3.24,5.14)*** 0.62(0.46,0.83)** 1.88(0.97,3.63) 9.91(2.17,45.17)** 4.01(2.76,5.83)*** 0.83(0.55,1.26) 1.33(0.48,3.69)
Gave care to grandchildren
 Yes 0.84(0.51,1.39) 0.84(0.52,1.39) 0.91(0.72,1.16) 1.07(0.62,1.85) 0.24(0.08,0.70)** 1.20(0.89,1.60) 1.34(0.96,1.88) 0.91(0.39,2.13)
live near children
 Yes 1.01(0.38,2.69) 1.01(0.38,2.69) 1.19(0.74,1.94) 1.29(0.42,3.98) 929,277.5(0,-) 1.28(0.67,2.43) 1.55(0.72,3.33) 0.51(0.11,2.48)
Weekly contact with children
 Yes 0.77(0.32,1.85) 0.77(0.32,1.85) 0.82(0.53,1.27) 0.61(0.25,1.50) 0.57(0.10,3.13) 1.09(0.55,2.18) 0.88(0.40,1.95)
Gave money to children
 Yes 0.62(0.31,1.85) 0.62(0.31,1.24) 1.08(0.81,1.44) 0.89(0.45,1.73) 0.31(0.07,1.43) 0.68(0.48,0.96)* 0.75(0.51,1.12) 0.45(0.13,1.57)
Received money from children
 Yes 0.90(0.54,1.47) 0.90(0.54,1.47) 1.04(081,1.33) 0.68(0.38,1.22) 1.70(0.66,4.36) 1.21(0.89,1.65) 1.13(0.79,1.62) 0.49(0.16,1.51)
Alcohol intake
 Drink 0.32(0.17,0.60)*** 0.32(0.17,0.60)*** 0.18(0.13,0.25)*** 0.53(0.29,0.96)* 0.96(0.35,2.64) 0.40(0.30,0.55)*** 0.24(0.16,0.36)*** 0.52(0.19,1.40)
Smoking status
 Quit now 0.47(0.22,0.98)* 0.47(0.22,0.98)*** 0.04(0.02,0.08)*** 0.42(0.17,1.00)* 0.25(0.06,0.99)* 0.09(0.05,0.14)*** 0.03(0.01,0.07)*** 0.10(0.01,0.80)*
 Still 0.26(0.14,0.47) 0.26(0.14,0.47)*** 0.03(0.02,0.04)*** 0.27(0.15,0.51)*** 0.26(0.09,0.78)* 0.13(0.09,0.18)*** 0.04(0.02,0.06)*** 0.28(0.11,0.73)**
Social participation
 Yes 0.32(0.19,0.56)*** 0.32(0.18,0.56) 1.02(0.81,1.30) 1.13(0.66,1.93) 0.17(0.05,0.53)** 0.71(0.53,0.95)* 1.23(0.88,1.73) 1.10(0.47,2.57)
Physical examination
 Yes 0.65(0.40,1.07) 0.65(0.40,1.07)* 0.84(0.66,1.06) 0.73(0.42,1.25) 0.62(0.24,1.59) 0.92(0.68,1.24) 0.75,0.53,1.05)
  1. Note: *P < 0.05; **P < 0.01; ***P < 0.001. “--” indicates abnormal values caused by small sample size