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. Author manuscript; available in PMC: 2024 Jun 11.
Published in final edited form as: Int J Aging Hum Dev. 2022 Jun 7;96(1):33–50. doi: 10.1177/00914150221106643

Table 2.

Marginal Effects of Healthy Aging Predictors Using a Logit Model.

The U.S. Korea
(1) (2) (3) (4) (5) (6)
Dep. Var. = healthy aging index (HAI) Model 1 Model 2 Model 3 Model 1 Model 2 Model 3
Age −0.011*** −0.008*** −0.008*** −0.012*** −0.011*** −0.109***
(0.0002) (0.0003) (0.0003) (0.0002) (0.0002) (0.0002)
Female 0.027*** 0.052*** 0.063*** −0.109*** −0.102*** −0.093***
(0.003) (0.003) (0.003) (0.002) (0.002) (0.002)
Race 0.079*** 0.041*** 0.034***
(0.003) (0.004) (0.004)
Education
 High school 0.072*** 0.065*** −0.013*** −0.004
(0.003) (0.004) (0.002) (0.002)
 College or more 0.150*** 0.126*** −0.045*** −0.031***
(0.006) (0.006) (0.003) (0.003)
Spousal accompaniment 0.013*** 0.010** 0.029*** 0.029***
(0.004) (0.004) (0.002) (0.002)
Income (Log.) 0.041*** 0.035*** 0.024*** 0.025***
(0.004) (0.003) (0.001) (0.001)
Smoke −0.044*** 0.013***
(0.006) (0.002)
Drink 0.037*** −0.010***
(0.003) (0.002)
Exercise 0.071*** −0.045***
(0.003) (0.002)
Year dummies Yes Yes Yes Yes Yes Yes
Constant 0.151*** 0.151*** 0.151*** 0.115*** 0.115*** 0.116***
(0.001) (0.001) (0.001) (0.001) (0.001) (0.001)
F statistic 226.17 238.42 232.84 907.17 605.99 503.02
Observations 58,018 116,384

Note: Robust standard errors are in parentheses.

***

p < 0.01,

**

p < 0.05,

*

p < 0.1.