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Table 8 The impact of rural/urban areas on healthy ageing score based on random-effects model

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

  β (95%CI)
Residence
 Urban 4.19(3.62,4.76)***
Age −0.40(−0.43,-0.37)***
Gender
 Female 6.42(−7.17,-5.67)***
Marital status
 Married 0.90(0.23,1.56)**
Urban or rural
 Urban 4.19(3.62,4.76)***
Educational level
 Upper secondary & vocational 4.45(3.56,5.35)***
 Tertiary 8.59(6.63,10.54)***
Household per capita consumption
 Low-middle 0.30(−0.19,0.79)
 Middle-high −0.00(− 0.50,0.49)
 High − 0.14(− 0.64,0.36)
Public health insurance coverage
 Covered −0.17(− 0.95,0.61)
Current work status
 Working 3.38(2.89,3.88)***
Chronic condition
 Yes −4.10(−4.71,-3.49)***
 Morbidity −9.41(−10.01,-8.80)***
Gave care to grandchildren
 Yes 0.14(−0.23,0.51)
Live near children
 Yes 1.10(0.68,1.52)***
Weekly contact with children
 Yes 1.17(0.62,1.71)***
Gave money to children  
 Yes 0.05(−0.31,0.40)
Received money from children
Yes −0.16(− 0.54,0.23)
Smoking status
 Quit now −1.78(−2.58,-0.99)***
 Still −0.38(−1.12,0.36)
Alcohol intake
 Drink 0.30(−0.19,0.79)
Social participation
 Yes 1.54(1.18,1.90)***
Physical examination
 Yes 0.41(0.06,0.76)*
  1. Note: *P < 0.05; **P < 0.01; ***P < 0.001