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Institution

University of North Carolina at Greensboro

EducationGreensboro, North Carolina, United States
About: University of North Carolina at Greensboro is a education organization based out in Greensboro, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5481 authors who have published 13715 publications receiving 456239 citations. The organization is also known as: UNCG & UNC Greensboro.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the effect of an acute bout of resistance exercise on cognitive performance in healthy middle-aged adults was examined, and it was shown that resistance exercise significantly benefits speed of processing (Stroop Word and Stroop Color), and that there is a trend towards resistance exercise benefiting performance on an executive function task (stroop color-word) that requires shifting of the habitual response.

111 citations

Journal ArticleDOI
TL;DR: The results indicated that higher quality maternal behavior during mother-infant interactions predicted higher frontal resting EEG power at 10 and 24 months, as well as increases in power between 5 and 10 Months, and between 10 and24 months.
Abstract: The aim of this study was to investigate if normative variations in parenting relate to brain development among typically developing children. A sample of 352 mother-infant dyads came to the laboratory when infants were 5, 10, and 24 months of age (final N = 215). At each visit, child resting electroencephalography (EEG) was recorded. Mother-infant interactions were videotaped at the 5-month visit. The results indicated that higher quality maternal behavior during mother-infant interactions predicted higher frontal resting EEG power at 10 and 24 months, as well as increases in power between 5 and 10 months, and between 10 and 24 months. These findings provide rare support for the hypothesis that normative variation in parenting quality may contribute to brain development among typically developing infants.

111 citations

Journal ArticleDOI
TL;DR: In this article, the conditions when a research joint venture will involve a university as a research partner were investigated, and it was shown that larger RJVs are more likely to invite a university to join the venture as research partner than smaller RJVs because larger ventures are less likely to expect substantial additional appropriability problems to result.

111 citations

Journal ArticleDOI
TL;DR: Particular risk configurations have specific associations with psychiatric disorders and combining the latent classes with a cumulative risk approach best accounted for the effects of risk factors on psychopathology in the primary sample.
Abstract: Different psychopathological symptoms commonly co-occur. Researchers have used person-oriented approaches to model such co-occurrences, in an effort to identify more homogeneous diagnostic groupings and subtypes of disorders (Frazier, Youngstrom, & Naugle, 2007; Shevlin, Murphy, Dorahy, & Adamson, 2007; Sullivan, Kessler, & Kendler, 1998), to clarify relations between comorbid symptoms and disorders (Fergusson, Horwood, & Lynskey, 1994), and to refine psychiatric phenotypes for genetic analyses (Eaves et al., 1993; Rasmussen et al., 2004; Todd et al., 2005). Co-occurrence of psychosocial risk factors for psychopathology is also ubiquitous (Evans, 2004; Kessler, Davis, & Kendler, 1997; Mullen, Martin, Anderson, Romans, & Herbison, 1996; Rutter, 2000). However, empirical risk research commonly uses variable-based approaches to the study of risk, relying on variants of the general linear model and typically focusing on additive linear contributions of individual risk factors or interactions among two or three risk factors. In the real world, children may ‘face a daunting array of suboptimal psychosocial and physical conditions’ (Evans, 2004, p.77) that interact in complex ways in the development of psychopathology. For example, poverty may be associated with parental unemployment and living in a single parent household for one group of children, but with parental mental illness and parental criminality for others. According to the cumulative approach, which relies on the assumption that all risk factors can be summed with unit weights, both groups would be seen as having an overall risk score of three, when, in fact, these differing configurations might be related to different psychopathological outcomes. The identification of valid risk profiles (or configurations, or clusters) could contribute to the identification of etiological pathways to childhood disorders.

111 citations

Journal ArticleDOI
TL;DR: Examination of disruptive behavior in 318 boys and girls at 2, 4, and 5 years of age and frustration reactivity, physiological regulation, and maternal behavior in the laboratory concluded that a high profile was associated with high reactivity combined with high maternal control or low regulation combined with low maternal control.
Abstract: Disruptive behavior, including aggression, defiance, and temper tantrums, typically peaks in early toddlerhood and decreases by school entry; however, some children do not show this normative decline. The current study examined disruptive behavior in 318 boys and girls at 2, 4, and 5 years of age and frustration reactivity, physiological regulation, and maternal behavior in the laboratory at 2 years of age. A latent profile analysis resulted in 4 longitudinal profiles of disruptive behavior, which were differentiated by interactions between reactivity, regulation, and maternal behavior. A high profile was associated with high reactivity combined with high maternal control or low regulation combined with low maternal control. Results are discussed from a developmental psychopathology perspective.

111 citations


Authors

Showing all 5571 results

NameH-indexPapersCitations
Douglas E. Soltis12761267161
John C. Wingfield12250952291
Laurence Steinberg11540370047
Patrick Y. Wen10983852845
Mark T. Greenberg10752949878
Steven C. Hayes10645051556
Edward McAuley10545145948
Roberto Cabeza9425236726
K. Ranga Rama Krishnan9029926112
Barry J. Zimmerman8817756011
Michael K. Reiter8438030267
Steven R. Feldman83122737609
Charles E. Schroeder8223426466
Dale H. Schunk8116245909
Kim D. Janda7973126602
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022143
2021977
2020851
2019760
2018717