Author response table 2. Meta regression model (quantitative approach) testing the effect of (a) Taxa, (b) Before / after effect, (c) Experiment / control effect, (d) Use of Metabolic Rate or Heart Rate as metabolic variable and (e) Treatment type, on the association between metabolic rate (MR) and glucocorticoid effect sizes across studies.

(a)	Estimate	s.e.	z	P	95% C.I.
Intercept	0.72	0.11	6.30	< 0.0001	0.50-0.95
MR effect size (In)	0.30	0.11	2.75	0.006	0.09-0.52
Taxa (mammal)	0.07	0.23	0.33	0.74	-0.38-0.54
MR : Taxa	0.16	0.22	0.71	0.48	-0.28-0.59
Variance components: outer factor: Lab (N=16), inner factor: Study. ID (N=21). tau^2- Estimate = 0.00, sqrt = 0.09
Residual heterogeneity: QE(df=31)=27.47,p=0.65
Test of moderators: QM(df=3)=9.53,p=0.023
(b)	Estimate	s.e.	z	P	95% C.I.
Intercept	0.77	0.10	7.69	< 0.0001	0.57-0.96
MR effect size (ln)	0.32	0.11	3.00	0.002	0.11-0.54
Before / after effect (yes)	-0.30	0.38	-0.79	0.43	-1.06-0.45
MR : Time effect	-0.00	0.31	0.05	0.96	-0.59-0.62
Variance components: Lab (N=16), inner factor: Study.ID (N=21). tau^2 - Estimate = 0.03, sqrt = 0.16
Residual heterogeneity: QE(df=31)=27.72,p=0.64
Test of moderators: QM(df=3)=9.39,p=0.024
(c)	Estimate	s.e.	z	P	95% C.I.
Intercept	0.76	0.10	7.51	< 0.0001	0.56-0.96
MR effect size (ln)	0.32	0.11	2.97	0.003	0.11-0.52
Exp./ control effect (yes)	0.08	0.31	0.25	0.80	-0.53-0.69
MR : Exp. / control effect	-0.05	0.32	-0.00	0.99	-0.62-0.62
Variance components: Lab (N=16), inner factor: Study.ID (N=21). tau^2- Estimate = 0.02, sqrt = 0.15
Residual heterogeneity: QE(df=31)=28.18,p=0.61
Test of moderators: QM(df=3)=8.88,p=0.030
(d)	Estimate	s.e.		P	95% C.I.
Intercept	0.76	0.11	7.12	< 0.0001	0.55-0.97
MR effect size (ln)	0.34	0.11	3.00	0.003	0.12-0.56
Met. variable (HR)	0.15	0.22	0.68	0.49	-0.28-0.59
MR : Met. variable	0.01	0.23	0.06	0.96	-0.43-0.46
Variance components: outer factor: Lab (N=16), inner factor: Study.ID (N=21). tau^2- Estimate = 0.03, sqrt = 0.16
Residual heterogeneity: QE(df=31)=28.03,p=0.62
Test of moderators: QM(df=3)=9.21,p=0.027
e)	Estimate	s.e.	z	P	95% C.I.
Intercept	0.82	0.20	4.09	< 0.0001	0.43-1.21
MR effect size (In)	0.26	0.20	1.30	0.19	-0.13-0.64
Treat. Type 2	0.01	0.29	0.02	0.98	-0.57-0.58
Treat. Type 3	-0.20	0.32	-0.62	0.53	-0.81-0.42
MR: Treat. Type 2	0.09	0.27	0.34	0.74	-0.44-0.62
MR: Treat. Type 3	0.08	0.29	0.28	0.78	-0.49-0.66
Variance components: Lab (N=16), inner factor: Study.ID (N=21). tau^2- Estimate = 0.04, sqrt = 0.20
Residual heterogeneity: QE(df=29)=27.77,p=0.53
Test of moderators: QM(df=5)=9.32,p=0.097