Table 3.

Stratified logistic regression analysis to identify variables that modify the correlation between DII and MAFLD*.

	OR (95%CI), p value	p for interaction
Gender		0.4691
Male	1.03 (0.96, 1.11) 0.3836
Female	1.07 (1.00, 1.15) 0.0601
Age (years)		0.0137
20–41	1.20 (1.08, 1.33) 0.0006
42–60	1.06 (0.98, 1.16) 0.1637
61–80	0.99 (0.92, 1.07) 0.8019
Race		0.3498
Mexican American	1.03 (0.89, 1.19) 0.7246
Other Hispanic	0.99 (0.85, 1.15) 0.9008
Non-Hispanic White	0.99 (0.91, 1.08) 0.8073
Non-Hispanic Black	1.14 (1.02, 1.27) 0.0198
Other Race	1.01 (0.90, 1.13) 0.8561
Education		0.5156
Below high school	1.05 (0.92, 1.18) 0.4757
High school graduate	1.01 (0.91, 1.13) 0.8416
Some college or AA degree	1.11 (1.02, 1.22) 0.0213
College graduate or above	1.02 (0.93, 1.13) 0.6299
PIR		0.1243
<1.30	0.99 (0.91, 1.08) 0.8392
≥1.30, <3.50	1.12 (1.03, 1.21) 0.0049
≥3.50	1.05 (0.95, 1.16) 0.3240
Minutes of sedentary activity (min)		0.9347
0–234.53	1.05 (0.96, 1.15) 0.2629
240–356.41	1.07 (0.97, 1.18) 0.1656
360–1,320	1.05 (0.97, 1.13) 0.2538
BMI		0.1668
<25	1.06 (0.92, 1.24) 0.4111
≥25, <30	1.00 (0.92, 1.08) 0.9353
≥30	1.11 (1.03, 1.19) 0.0061

*The results of subgroup analysis were adjusted for all covariates (age, gender, race, education, PIR, BMI, LSM, HSCRP, HbA1c, ALT, AST, Albumin, minutes sedentary activity, hypertension, diabetes, drug use) except for effect modifier.