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Biomedical subjects

S M Lewis

Publications and source records attributed to S M Lewis.

330 records · Page 19Linked to original sources

Developmental trajectories of disruptive behavior problems in preschool children of adolescent mothers.

Using hierarchical linear modeling (HLM), we analyzed individual developmental trajectories of disruptive behavior problems between ages 3.5 to 6.0 years for 183 children of adolescent mothers. We examined how the level of problem behavior (intercept) and the rate of change over time (slope) are influenced by child's sex, mother's depression/anxiety symptoms, and mother's use of negative control for regulating child behavior. On average, disruptive behavior decreased from age 3.5 to 6.0. Child sex and maternal depression/anxiety related to the level of behavior problems but not to the rate of change. Boys and children of more depressed/anxious mothers exhibited higher levels of disruptive behavior. Maternal negative control was associated with both level of disruptive behavior and rate of change, and negative control mediated the effects of maternal depression/anxiety. Greater negative control corresponded to higher levels of behavior problems and no reduction in their display over time. Child race moderated effects of negative control.

Adolescent↗

Study of the peripheral blood leucocyte population by Fourier analysis of the cell volume histogram.

The Fourier transformation is proposed as a technique for the description of cell volume histogram data. In order to test the applicability of this transformation, peripheral blood leucocytes were studied as model populations and the technique assessed by determining the extent to which the Fourier coefficients could be applied as descriptors of various pathologic abnormalities of the differential leucocyte count. Histograms of leucocyte volume distribution were plotted for 87 cases with a variety of abnormalities of the peripheral blood leucocyte population. These histograms were submitted to Fourier analysis and the coefficients thus obtained were used as the basis of a multivariate classification system designed to distinguish certain predefined abnormalities of the differential count. The results obtained suggest that Fourier analysis may prove a valuable technique for the interpretation of cell volume histogram data, and its potential applications are discussed.

Cell Count↗