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. 2022 Sep 5;12:26335565221123990. doi: 10.1177/26335565221123990

Table 4.

Regression analyses of associations between lifestyle score and multimorbidity.

Variable Model 1 a Model 2 b Model 3 c Model 4 d
OR (95% CI) p OR (95% CI) p OR (95% CI) p OR (95% CI) p
Lifestyle score 0.61 (0.53–0.71) <0.001 0.74 (0.63–0.87) <.001 0.75 (0.63–0.88) .001 0.80 (0.68–0.95) .011
Age
 Young Adult(18–44) 0.09 (0.03–0.22) <.001 0.04 (0.01–0.10) <.001 0.30 (0.11–0.79) .01
 Middle Age (45–64) 0.36 (0.18–0.73) <.001 0.22 (0.10–0.48) <.001 0.45 (0.21–0.97) .04
 Elderly (≥65) 1 (reference) 1 (reference) 1 (reference)
Employment status
 Employed 0.31 (0.17–0.55) <.001 0.27 (0.15–0.48) <.001 0.51 (0.26–0.99) .05
 Unemployed 1 (reference) 1 (reference) 1 (reference)
Educational Level
 Primary Level or Lower 2.38 (0.26–21.4) .43 2.01 (0.20–20.25) .55 2.27 (0.22–22.86) .48
 Secondary School 2.66 (0.34–20.79) .34 3.27 (0.39–7.39) .27 2.36 (0.26–21.04) .43
 College 1.75 (0.22–13.5) .59 2.05 (0.24–17.02) .5 1.80 (0.21–15.48) .59
 Master and above 1 (reference) 1 (reference) 1 (reference)
Marital status
 Single 0.59 (0.26–1.34) .21 0.51 (0.22–1.16) .11 0.92 (0.35–2.39) .87
 Married/With partner 1 (reference) 1 (reference) 1 (reference)

aModel 1 Simple logistic model, crude OR was obtained; independent variable (Y): participants with vs. without multimorbidity.

bModel 2 was adjusted for age, employment, education, and marital status; independent variable (Y): participants with vs. without multimorbidity.

cModel 3 was adjusted for age, employment, education and marital status; independent variable (Y): participants with multimorbidity vs. had no disease.

dModel 4 was adjusted for age, employment, education and marital status; independent variable (Y): participants with multimorbidity vs. have one disease.