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. 2017 Nov 27;51(1):6–14. doi: 10.3961/jpmph.17.137

Table 3.

Results of logistic regression analysis of the impact of partners’ risky health behaviors on risky health behaviors among Korean women aged 19 or over

Variables Age (y) Total (n) Participant’s behavior, n (%) Crude OR (95% CI)1 Adjusted OR (95% CI)1 p-value for interaction2
Smoking
 Overall <19 64 971 1095 (1.7) 5.07 (4.32, 5.95) 4.65 (3.93, 5.49) 0.01
 Stratified 19–29 1804 78 (4.3) 5.47 (4.44, 6.72) 5.38 (4.20, 6.89)
30–49 26 165 504 (1.9) 5.44 (4.27, 6.94) 5.20 (4.06, 6.65)
50–64 23 026 379 (1.6) 3.51 (2.76, 4.47) 3.45 (2.70, 4.41)
≥65 13 976 134 (1.0) 7.86 (5.35, 11.53) 8.15 (5.50, 12.09)
Excessivedrinking
 Overall <19 64 971 16 429 (25.3) 2.58 (2.47, 2.70) 1.89 (1.80, 1.98) 0.55
 Stratified 19–29 1804 734 (40.7) 1.88 (1.64, 2.17) 1.90 (1.64, 2.20)
30–49 26 165 10 267 (39.2) 1.94 (1.82, 2.06) 1.94 (1.82, 2.06)
50–64 23 026 4712 (20.5) 1.85 (1.71, 2.00) 1.81 (1.67, 1.96)
≥65 13 976 716 (5.1) 1.79 (1.50, 2.15) 1.77 (1.48, 2.12)
Eats salty food
 Overall <19 64 971 12 308 (18.9) 2.56 (2.43, 2.70) 2.48 (2.36, 2.62) <0.01
 Stratified 19–29 1804 509 (28.2) 2.18 (1.91, 2.49) 2.22 (1.94, 2.54)
30–49 26 165 4688 (17.9) 2.23 (2.07, 2.40) 2.23 (2.07, 2.40)
50-64 23 026 3836 (16.7) 2.70 (2.48, 2.95) 2.64 (2.42, 2.88)
≥65 13 976 3275 (23.4) 3.33 (3.04, 3.64) 3.29 (3.00, 3.59)
Inactive lifestyle
 Overall <19 64 971 37 170 (57.2) 2.66 (2.56, 2.77) 2.56 (2.45, 2.66) <0.01
 Stratified 19–29 1804 1130 (62.6) 2.29 (2.01, 2.59) 2.29 (2.01, 2.60)
30–49 26 165 14 335 (54.8) 2.27 (2.14, 2.41) 2.24 (2.12, 2.37)
50–64 23 026 12 681 (55.1) 2.88 (2.70, 3.08) 2.80 (2.63, 2.99)
≥65 13 976 9024 (64.6) 3.70 (3.41, 4.00) 3.53 (3.26, 3.83)

OR, odds ratio; CI, confidence interval.

1

Crude model: Y-X, adjusted model: Y-X+Z, where Y=the participant’s risky health behavior, X=whether the partner had the risky health behavior, and Z=potential confounding factors including age (only in the overall models), occupation, household income, and past medical history (hypertension, diabetes mellitus, hyperlipidemia). See the Methods section for more details.

2

p-values were obtained from the overall models for the interaction between age and the respective health behavior. Interaction model: Y-X+Age+ Z+X×Age, where Y=the participant’s risky health behavior, X=whether the partner had the risky health behavior, Age = the participant’s age group, Z=potential confounding factors including occupation, household income, and past medical history (hypertension, diabetes mellitus, hyperlipidemia), and X×Age=the interaction between age and the respective health behavior.