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At least 307 records · Page 17Linked to original sources
PubMed1993

Predicting Wechsler Adult Intelligence Scale-Revised (WAIS-R) IQ scores from the Luria-Nebraska Neuropsychological Battery (Form I).

The study examined a modification of two sets of previously published LNNB-derived WAIS IQ estimates in order to estimate WAIS-R IQs in a sample of neuropsychiatric patients. Findings suggested that the modification will allow practicing clinicians to estimate WAIS-R IQs with a level of accuracy similar to that found in previous research. The level of predictive accuracy for WAIS-R FSIQ and VIQ was somewhat higher than would be expected on the basis of previous research, which suggests that the modified McKay, Golden, Moses, Fishburne, and Wisniewski (1981) formulae for estimating IQ may be more accurate than previously thought. The correlation matrix of WAIS-R subtests and LNNB Form I clinical and summary scales also is described.

Adult↗
PubMed1999

Allometric scaling of isokinetic peak torque: the Nebraska Wrestling Study.

Allometric scaling has been used increasingly in the exercise sciences to control statistically for body size differences in physical performance variables. The purpose of this study was to use multivariate allometric scaling to examine the influence of fat-free mass (FFM) on age-related differences in strength in young club (8-13 years) and high-school (14-18 years) wrestlers. The dependent variables were log-transformed values of isokinetic peak torque for leg extension and flexion at 0.52, 3.14, and 5.24 rad x s(-1)(30, 180, and 300 x s(-1)). The independent variables used in the multiple regression analyses were log-transformed values for FFM, age, and the FFM versus age interaction. The resulting regression equations were of the form: log Y = log a + b1 log X1 + b2 log X2 + bn log Xn. The initial multiple regression analyses showed significant interaction effects (P < 0.05) for all dependent variables, therefore separate regression analyses were performed for the younger and older groups of wrestlers. The results indicate that for the younger wrestlers there were increases in isokinetic peak torque at all velocities across age after controlling for FFM. The FFM scaling exponents ranged from 0.94 to 1.31. All exponents included 1.0 in the 95% confidence interval, except for extension at 3.14 rad x s(-1). For the high-school wrestlers, both FFM and age were significant for the extension data, but only FFM was significant for the flexion data. All FFM exponents included 1.0 in the 95% confidence interval. These results indicate that the relationship between FFM and peak torque differed across age. In addition, with the exception of the flexion data for the high-school wrestlers, within each group increases in isokinetic peak torque occurred across age, independent of increases in FFM. The causes of the age effect for strength are speculative, but it may be due to developmental changes in neuromuscular function, alterations in the distribution of muscle mass as a percentage of FFM and/or the distribution of FFM across body segments.

Adolescent↗
PubMed1997

Risk factors for seroprevalence of ovine lentivirus in breeding ewe flocks in Nebraska, USA.

The prevalence of and risk factors for ovine lentivirus (OLV) infection in 1466 breeding ewes in nine US Meat Animal Research Center (MARC) flocks were determined using a recombinant transmembrane protein (PTM) enzyme-linked immunosorbent assay (ELISA) to detect serum anti-OLV antibodies and define infection. Based on multivariable logistic regression, confinement birth and rearing (odds ratio (OR) = 1.6), older weaning ages (OR = 1.1 week-1), and older age (OR = 1.3-2.5 year-1 beyond age 1 year) were significantly associated with higher OLV prevalence in ewes. Prevalence also varied significantly by flock, with Finnsheep and Texel ewes having the highest prevalences and Booroola Merino and Suffolk ewes having the lowest prevalences. These findings support the hypothesis that management control efforts should concentrate on events early in the life of sheep, as this period is associated with factors which can modulate the risk for OLV infection.

Animals↗