Table 4.

Logistic Regression Results From Weighted Logistic Models on 25 Imputed Datasets

Parameter	OR		95% CI
Basic MM
No (reference)
Yes	0.98	0.91	1.06
Age
30 to 35 years
40 to 49 years	0.72	0.63	0.82
50 to 64 years	1.36	1.18	1.57
≥65 years	2.80	2.40	3.27
Sex
Female (reference)
Male	1.44	1.36	1.51
Race/ethnicity
Non-Hispanic White (reference)
Mexican American	1.18	0.99	1.42
Non-Hispanic Asian	1.49	1.19	1.88
Non-Hispanic Black	1.30	1.06	1.61
Other Hispanic	0.95	0.79	1.13
Other race	0.75	0.47	1.18
Education
College degree or higher (reference)
<9th grade	1.52	1.21	1.90
9th to 11th grade	1.33	1.07	1.65
High school diploma or equivalent	1.17	1.05	1.29
Some college/associate’s degree	0.82	0.74	0.90
Income
High (reference)
Low	1.25	1.10	1.43
Middle	1.22	1.08	1.39
Health insurance status
Yes (reference)
No	1.29	1.20	1.39
Smoking
Not at all (reference)
Every day	1.34	1.15	1.56
Some days	1.06	0.84	1.34
Alcohol: 2 or more drinks/day
No (reference)
Yes	1.18	1.07	1.31

Notes: Results from each imputed dataset combined using PROC MIANALYZE, odds ratios (ORs), with 95% confidence intervals (CIs) and P values. Sensitivity analysis: Model results assuming all missing smoking is “Everyday” and all missing alcohol is “Yes”.
Abbreviations: MM, multimorbidity; CI, confidence interval.