Table 2

Logit estimates on the likelihood of undertaking full medical check-up among seniors in Malaysia

VariablesLog of oddsOdds ratioStd. Errorz-statistics95% confidence interval
(1)(2)(3)(4)
Socio-economic and demographic factors
Gender−0.270.760.20−1.320.511.14
Malay0.44*1.550.231.940.992.44
Indian−0.350.700.34−1.020.361.38
Secondary0.141.140.240.540.721.83
Tertiary−0.380.680.37−1.040.331.42
Middle-old−0.070.930.22−0.290.611.44
Old-old−0.240.790.29−0.830.441.40
HHINC20.85**2.340.422.061.045.31
HHINC31.25***3.500.413.081.577.78
HHINC41.58***4.840.453.542.0111.64
HHsize−0.20***0.820.06−3.460.730.92
Transport0.181.190.260.690.721.97
Health Status factors
Positive self-rated health status−0.140.870.02−0.690.581.29
Overweight−obese0.38*1.470.211.790.972.22
NCD0−0.90***0.410.22−4.110.260.62
NCD1−3.17***0.040.39−8.230.020.09
NCD2−4.31***0.010.58−8.600.010.04
Active aging factors
Outdoor trip0.171.180.220.770.771.82
Working−0.46***0.630.23−2.010.400.99
Constant0.942.570.561.70−0.152.03

Note(s): *, **, *** denotes significance at 10, 5 and 1% level, respectively. The reference group is male, Chinese, primary education or no education, young-old (60–64 years old), did not have any household income (HHINC1), and had three types of non-communicable diseases (NCD3)

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