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)* |