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Table 4 Regressing MCS, showing unstandardized regression coefficients

From: The paradox of aging and health-related quality of life in Asian Chinese: results from the Healthy Aging Longitudinal Study in Taiwan

  MCS
model 1 model 2 model 3 model 4
Age 0.062 (0.014)** 0.075 (0.012)** 0.063 (0.014)** 0.050 (0.049)
Covariates
 Female (ref. male)   0.14 (0.19) 0.13 (0.27) 0.13 (0.27)
 Elementary school (ref. illiterate)   − 0.55 (0.30) −0.54 (0.30) − 0.54 (0.30)
 Middle school or higher (ref. illiterate)   −1.03 (0.35)* −1.02 (0.35)* −1.01 (0.35)*
 Employed (ref. unemployed)   0.086 (0.21) 0.13 (0.21) 0.13 (0.21)
 Partnered (ref. unpartnered)   −0.068 (0.23) −0.042 (0.23) − 0.038 (0.23)
 Living in urban areas (ref. rural)   0.26 (0.18) 0.28 (0.18) 0.29 (0.18)
 Cohabitant (ref. alone)   −0.24 (0.32) −0.27 (0.32) − 0.27 (0.32)
 MMSE   −0.034 (0.032) −0.011 (0.032) − 0.0094 (0.032)
 CES-D   −0.92 (0.014)** −0.93 (0.015)** − 0.93 (0.015)**
Objective health indicators
 Handgrip strength    0.0021 (0.014) 0.044 (0.081)
 SPPB    −0.15 (0.041)** −0.36 (0.35)
Interaction terms
 Age*handgrip     −0.00062 (0.0012)
 Age*SPPB     0.0029 (0.0046)
  1. Note: N = 5022. *p-value< 0.05, ** p-value< 0.001. Model 1: age (unadjusted); model 2: same as model 1 plus demographic, SES, MMSE, and CES-D variables; model 3: same as model 2 plus objective health indicators; model 4: same as model 3 plus interactions between age and objective health indicators. Preliminary analyses did not find any evidence for quadratic or cubic age terms (ps > .05); therefore, subsequent analyses included only a linear age term
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