Skip to main content
. 2023 Oct 27;12:RP88205. doi: 10.7554/eLife.88205

Figure 2. Glucocorticoid (GC) effect size (Cohen´s D) increases with increasing metabolic rate effect size similarly in studies of mammals (open circles) and birds (closed circles).

Area of dots is proportional to the experiment sample size (i.e. square root of the number of individuals in which GCs were measured).

Figure 2.

Figure 2—figure supplement 1. Relationship between metabolic rate and glucocorticoid effect sizes (Cohen’s D) across studies.

Figure 2—figure supplement 1.

Panels show the association without ln-transforming metabolic rate effect sizes (left panel) and when ln-transforming them (right panel). Size of dots is proportional to the experiment sample size (i.e. square root of the number of individuals in which glucocorticoids were measured). Shaded areas represent 95% CI. Note that the number of data points in the graph is higher than the number of studies as some of the studies included multiple experimental treatments (Study ID was included as random factor in statistical analyses).

Figure 2—figure supplement 2. Relationship between metabolic rate and glucocorticoid effect sizes (Cohen’s D) across studies as a function of before/after effect (left panel; open circles and dashed line for studies including a time effect; closed circles and continuous line for studies not including a time effect; see ‘Materials and methods’) and experiment/control effect (right panel; open circles and dashed line for studies including within-individual variation; closed circles and continuous line for studies not including within-individual variation).

Figure 2—figure supplement 2.

Size of dots is proportional to the experiment sample size (i.e. square root of the number of individuals in which glucocorticoids were measured). Shaded areas represent 95% CI. Note that the number of data points in the graph is higher than the number of studies as some of the studies included multiple experimental treatments (Study ID was included as random factor in statistical analyses). Before/after effect and experiment/control effect results should be interpreted with caution as most studies do include within-individual variation and do not include time effect.