4 research outputs found

    ExoticSp_plotData

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    Excel file where each tab are the presence-absence data of non-native (Exotic) species for a given plot (nine plots in total). For each plot, the species code (MF) and year of sampling are given

    nativeSp_plotData

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    Excel file where each tab are the presence-absence data of native species for a given plot (nine plots in total). For each plot, the species code (MF) and year of sampling are given

    sj-pdf-1-pmj-10.1177_02692163241229962 – Supplemental material for What are the triggers for palliative care referral in burn intensive care units? Results from a qualitative study based on healthcare professionals’ views, clinical experiences and practices

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    Supplemental material, sj-pdf-1-pmj-10.1177_02692163241229962 for What are the triggers for palliative care referral in burn intensive care units? Results from a qualitative study based on healthcare professionals’ views, clinical experiences and practices by André Filipe Filipe Ribeiro, Sandra Martins Pereira, Rui Nunes and Pablo Hernández-Marrero in Palliative Medicine</p

    Interrelationships among skeletal age, growth status and motor performances in female athletes 10–15 years

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    Motor performances of youth are related to growth and maturity status, among other factors. To estimate the contribution of skeletal maturity status per se to the motor performances of female athletes aged 10–15 years and the mediation effects of growth status on the relationships. Skeletal age (TW3 RUS SA), body size, proportions, estimated fat-free mass (FFM), motor performances, training history and participation motivation were assessed in 80 non-skeletally mature female participants in several sports. Hierarchical and regression-based statistical mediation analyses were used. SA per se explained a maximum of 1.8% and 5.8% of the variance in motor performances of athletes aged 10–12 and 13–15 years, respectively, over and above that explained by covariates. Body size, proportions, and hours per week of training and participation motivation explained, respectively, a maximum of 40.7%, 18.8%, and 22.6% of the variance in performances. Mediation analysis indicated specific indirect effects of SA through stature and body mass, alone or in conjunction with FFM on performances. SA per se accounted for small and non-significant amounts of variance in several motor performances of female youth athletes; rather, SA influenced performances indirectly through effects on stature, body mass and estimated FFM.</p
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