Table 4

Associations between determinants and respiratory emergency department visits*

Determinants	Initial regression model				Final regression model
Determinants	B	95% CI	P values	ƞ²	B	95% CI	P values	ƞ²
Year†			<0.001				<0.001
2013	−5.84	−8.56 to −3.12	<0.001	0.017	−6.38	−8.88 to −3.88	<0.001	0.023
2014	−3.44	−5.04 to −1.85	<0.001	0.017	−3.43	−4.86 to −1.99	<0.001	0.020
Season†			0.610				0.006
Winter‡	−0.13	−2.05 to 1.80	0.898	0.000	−1.46	−2.28 to −0.64	0.001	0.011
Spring‡	−0.64	−1.74 to 0.45	0.250	0.001	−1.28	−2.15 to −0.40	0.004	0.008
Summer‡	0.26	−1.62 to 2.13	0.788	0.000	−0.86	−1.59 to −0.12	0.023	0.005
Day of the week†	–	–	<0.001				<0.001
Monday	10.59	9.68 to 11.50	<0.001	0.330	10.69	9.78 to 11.59	<0.001	0.333
Tuesday	8.74	7,82 to 9.65	<0.001	0.250	8.84	7.94 to 9.75	<0.001	0.255
Wednesday	7.46	6.55 to 8.37	<0.001	0.196	7.56	6.65 to 8.46	<0.001	0.200
Thursday	7.76	6.85 to 8.67	<0.001	0.210	7.82	6.92 to 8.73	<0.001	0.211
Friday	4.95	4.03 to 5.86	<0.001	0.097	5.05	4.14 to 5.95	<0.001	0.100
Sunday	1.09	0.18 to 2.01	<0.001	0.005	1.01	0.15 to 1.96	0.023	0.005
Running day	−0.02	−0.03 to −0.01	0.002	0.009	−0.02	−0.25 to −0.01	0.001	0.010
Running day²	3×10⁻⁵	10×10⁻⁶ to 6×10⁻⁵	0.006	0.007	2×10^-5	4×10⁻⁶ to 4×10⁻⁵	0.018	0.005
Running day³	−2×10⁻⁸	−4×10⁻⁸ to −8×10⁻⁹	0.002	0.009	1×10^-8	2×10⁻⁸ to 4×10⁻⁹	0.007	0.007
Factor 1§	0.37	−0.55 to 1.29	0.834	0.001
Factor 2§	−0.76	−1.63 to 0.11	0.087	0.003
Factor 3§	−0.52	−1.21 to 0.17	0.142	0.002
Factor 1*factor 2	0.25	−0.33 to 0.83	0.395	0.001
Factor 1*factor 3	0.33	−0.14 to 0.80	0.173	0.002
Factor 2*factor 3	−0.04	−0.39 to 0.30	0.799	0.000
Year*factor 1†			0.482
2013*factor 1	−0.48	−1.28 to 0.32	0.239	0.001
2014*factor 2	−0.34	−1.14 to 0.45	0.397	0.001
Year*factor 2†			0.143
2013*factor 2	0.75	−0.13 to 1.51	0.054	0.004
2014*factor 2	0.57	−0.24 to 1.38	0.165	0.002
Year*factor 3†			0.461
2013*factor 3	0.37	−0.28 to 1.03	0.261	0.001
2014*factor 3	0.01	−0.64 to 0.66	0.985	0.000
Season*factor 1	–	–	0.206	–	–	–		–
Winter*factor 1	0.98	−0.49 to 2.44	0.190	0.002
Spring*factor 1	0.74	−0.20 to 1.67	0.122	0.002
Summer*factor 1	−0.76	−2.22 to 0.69	0.303	0.001
Autumn*factor 1	0.37	−0.54 to 1.29	0.428
Season*factor 2	–	–	0.236	–	–	–	–	–
Winter*factor 2	0.20	−0.99 to 1.40	0.737	0.000	–	–	–	–
Spring*factor 2	−1.03	−1.91 to −0.15	0.022	0.005	–	–	–	–
Summer*factor 2	−0.55	−1.64 to 0.55	0.326	0.001	–	–	–	–
Autumn*factor 2	−0.76	−1.63 to 0.11	0.087	0.003	–	–	–	–
Season*factor 3	–	–	0.087	–	–	–	–	–
Winter*factor 3	0.80	−0.11 to 1.70	0.085	0.003	–	–	–	–
Spring*factor 3	0.33	−0.37 to 1.04	0.351	0.001	–	–	–	–
Summer*factor 3	−0.11	−1.09 to 0.87	0.830	0.000	–	–	–	–
Autumn*factor 3	−0.52	−1.21 to 0.17	0.142	0.002	–	–	–	–
	Adjusted R²=0.47				Adjusted R²=0.47

*Univariate analysis of variance (UNIANOVA) model
†Reference year: 2015; reference season: Autumn; reference day of week: Saturday; year 2015*factor 1–3, respectively.
‡Winter: December, January, February; spring: March, April, May; summer: June, July, August; autumn: September, October, November.
§Classified by categorical principal component analysis; factor 1: high loadings at physiological equivalent temperature; factor 2: high loadings at ozone; factor 3: high loadings at air pollution; all time lags=0 days.
ƞ², partial eta squared mutually adjusted; B, regression coefficient mutually adjusted.