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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