Table 4

Univariate and multivariable logistic regression model to predict AF detected by SL-ECG or self-reported by participants

	Univariate			Multivariable
	OR	95% CI	p Value	OR	95% CI	p Value
Female sex	0.673	0.59 to 0.767	<0.001	0.929	0.775 to 1.113	0.425
Age (per year)	1.039	1.033 to 1.045	<0.001	1.038	1.031 to 1.044	<0.001
Weight (per kg)	1.010	1.004 to 1.016	0.001	1.004	0.996 to 1.012	0.297
Height (per cm)	1.010	1.002 to 1.017	0.009	1.018	1.009 to 1.027	<0.001
BMI (per kg/m²)	1.015	0.998 to 1.033	0.083	0.996	0.843 to 1.178	0.966
Weight circumference (per cm)	1.017	1.011 to 1.024	<0.001	0.991	0.979 to 1.002	0.117
Comorbid conditions
Hypertension	0.999	0.957 to 1.043	0.978
Diabetes	1.111	1.069 to 1.156	<0.001	1.011	0.967 to 1.057	0.625
Hyperlipidaemia	1.135	1.104 to 1.168	<0.001	1.079	1.046 to 1.112	<0.001
Heart failure	1.585	1.47 to 1.709	<0.001	1.386	1.273 to 1.509	<0.001
Stroke	1.13	1.092 to 1.17	<0.001	1.063	1.022 to 1.105	0.002
Coronary artery disease	1.229	1.191 to 1.268	<0.001	1.131	1.09 to 1.172	<0.001
Valvular heart disease	1.263	1.209 to 1.319	<0.001	1.206	1.147 to 1.267	<0.001
Peripheral artery disease	1.189	1.129 to 1.253	<0.001	1.098	1.03 to 1.171	0.004
COPD	1.086	1.027 to 1.148	0.004	1.019	0.953 to 1.089	0.584
Thyroid disease	0.997	0.975 to 1.02	0.806
Obstructive sleep apnoea	1.041	1.006 to 1.076	0.019	1.019	0.98 to 1.06	0.347
Cardiothoracic surgery	5.893	4.571 to 7.597	<0.001	3.065	2.29 to 4.1	<0.001

AF, atrial fibrillation; BMI, body mass index; COPD, chronic obstructive pulmonary disease; SL-ECG, wireless single-lead ECG.