Table 3.

Multivariable logistic regression models to predict NAFLD-fibrosis.

Model	AUROC (95% CI)	B	S.E.	OR (95% CI)	p-Value
‘Lifestyle model’	0.743 (0.643–0.843), p < 0.001
Red meat intake #		0.536	0.237	1.97 (1.18–3.28)	0.024
Carbohydrate E%		−0.098	0.042	0.91 (0.84–0.99)	0.020
Unemployment (no = 0/yes = 1)		2.033	0.826	7.63 (1.51–38.52)	0.014
Constant		1.950	2.015	0.008	0.994
‘Biomarker model’	0.776 (0.677–0.875), p < 0.001
HbA1c (mmol/mol)		0.102	0.048	1.11 (1.01–1.22)	0.032
Insulin (mU/L)		0.096	0.039	1.10 (1.02–1.19)	0.014
Triglycerides (mmol/L)		0.815	0.582	2.26 (0.72–7.07)	0.161
Constant		−5.931	1.777	0.003	0.001
‘Genetic model’	0.629 (0.513–0.745), p = 0.035
Genetic risk score		0.465	0.203	1.59 (1.07–2.40)	0.022
Constant		−0.458	0.645	0.233	0.024
‘Biomarker + Genetic model’	0.824 (0.733–0.914), p < 0.001
HbA1c (mmol/mol)		0.126	0.051	1.13 (1.03–1.25)	0.014
Insulin (mU/L)		0.092	0.043	1.10 (1.01–1.19)	0.032
Triglycerides (mmol/L)		0.987	0.628	2.68 (0.78–9.19)	0.116
Genetic risk score		0.509	0.254	1.66 (1.01–2.74)	0.046
Constant		−8.424	2.273	0.000	0.000
‘Comprehensive model’	0.903 (0.841–0.964), p < 0.001
MVPA (h/week)		−0.060	0.027	0.94 (0.89–0.99)	0.024
Red meat intake #		0.581	0.303	1.79 (0.99–3.24)	0.055
Carbohydrate E%		−0.131	0.059	0.88 (0.78–0.99)	0.027
Smoking (never = 0/current or former = 1)		1.310	0.663	3.71 (1.01–13.60)	0.048
HbA1c (mmol/mol)		0.186	0.067	1.21 (1.06–1.39)	0.006
Triglycerides (mmol/L)		2.504	0.981	12.23 (1.79–83.63)	0.011
Genetic risk score		0.936	0.333	2.55 (1.33–4.90)	0.005
Constant		−9.098	4.035	0.000	0.024

^# Never = 1/few times in a month = 2/once a week = 3/two to four times a week = 4/five to six times a week = 5/daily = 6. Abbreviations: AUROC, area under the receiver operating characteristic curve; B, coefficient; CI, confidence interval; E%, energy percentage; HbA_1c, glycosylated hemoglobin A_1C; MAQ, Modifiable Activity Questionnaire; OR, odds ratio; MVPA, moderate-to-vigorous physical activity, S.E., Standard Error.