Table 4.
random effects model |
||||||||
---|---|---|---|---|---|---|---|---|
measure of parasitisma or condition | sample size (analyses) | standard difference in means | 95% CI lower limit | 95% CI upper limit | z-value | p-value | lower in dominant or subordinate | citations |
blood parasites | 3 | 0.401 | 0.053 | 0.749 | 2.257 | 0.024 | subordinate | [134] |
ectoparasitesb | 3 | 2.275 | 1.085 | 3.465 | 3.746 | 0.0002 | subordinate | [33,143,144] |
gastrointestinal parasites | 13 | 1.201 | 0.549 | 1.853 | 3.611 | 0.0017 | subordinate | [15,28,145–151] |
gastrointestinal parasites (helminths only)c | 10 | 1.445 | 0.879 | 2.012 | 5.038 | <0.0001 | subordinate | [15,28,145–150] |
all parasite typesd,e | 19 | 2.015 | 1.136 | 2.892 | 4.495 | <0.0001 | subordinate | |
tests of condition: haematocritf | 4 | 0.638 | 0.241 | 1.035 | 3.147 | 0.0016 | subordinate | [114,131,141] |
aMeasures of parasitism included estimates of parasite infection prevalence, parasite species richness and parasite infection intensity.
bTaxa significantly explains between-study heterogeneity for tests of ectoparasites.
cGastrointestinal helminths were assessed as a sub-category of all GI parasites.
dTaxa significantly explains between-study heterogeneity for tests of cumulative parasites.
eEgger's test: p = 0.058.
fTaxa significantly explains between-study heterogeneity for tests of haematocrit.