Eccentric Force Velocity Profiling: Motor Control Strategy Considerations and Relationships to Strength and Jump Performance.

ABSTRACT: Barker, L, Siedlik, J, Magrini, M, Uesato, S, Wang, H, Sjovold, A, Ewing, G, and Harry, JR. . Eccentric force velocity profiling: motor control strategy considerations and relationships to strength and jump performance. J Strength Cond Res 37(3): 574-580, 2023-Currently, no studies exist on the eccentric force-velocity profile (eFVP) during drop landings from increasing drop heights, which may reveal an athlete's braking capacity and control strategies. Therefore, the purpose of this study was to assess the eFVP during bilateral drop landings from increasing drop heights. A secondary purpose was to explore and determine relevant relationships between the eFVP and common metrics like relative strength and jumping performance. Overall, 19 recreationally trained athletes from the university completed a 1-reptition maximum back squat, countermovement jumps, squat jumps, drop jumps, and drop landings from 0.3 to 1.52-m box heights in 0.15-m increments. Average force and velocity from the peak drop landing trial was used to generate an eFVP. The mean linear eFVP was -6.65x + 14.73, and the mean second order polynomial eFVP was -1.37x 2 - 25.84x + 0.17. The second-order polynomial fit the data better with large effect ( dunb = 1.05, p < 0.05). No significant correlations between the eFVP coefficients and the strength and jumping measurements were observed. Future research could investigate how training can influence the eFVP. Eccentric force production during landing may be a unique quality that requires specific development strategies, such has fast or slow eccentric training.

A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders.

An improved understanding of genetic etiological heterogeneity in a psychiatric condition may help us (a) isolate a neurophysiological 'final common pathway' by identifying its upstream genetic origins and (b) facilitate characterization of the condition's phenotypic variation. This review aims to identify existing genetic heterogeneity measurements in the psychiatric literature and provides a conceptual review of their mechanisms, limitations, and assumptions. The Scopus database was searched for studies that quantified genetic heterogeneity or correlation of psychiatric phenotypes with human genetic data. Ninety studies were included. Eighty-seven reports quantified genetic correlation, five applied genomic structural equation modelling, three evaluated departure from the Hardy-Weinberg equilibrium at one or more loci, and two applied a novel approach known as MiXeR. We found no study that rigorously measured genetic etiological heterogeneity across a large number of markers. Developing such approaches may help better characterize the biological diversity of psychopathology.