Institution
University of Missouri
Education•Columbia, Missouri, United States•
About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.
Topics: Population, Poison control, Health care, Gene, Mental health
Papers published on a yearly basis
Papers
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TL;DR: The authors showed that regional fears, jealousies, and animosities constitute invisible barriers to increased trade within CACM, and that the attitude toward the people of a given country is a fac...
Abstract: This article shows that regional fears, jealousies, and animosities constitute invisible barriers to increased trade within CACM, and that the attitude toward the people of a given country is a fac...
600 citations
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TL;DR: In this paper, the authors examined the long-term effects of multisystemic therapy (MST) vs. individual therapy (IT) on the prevention of criminal behavior and violent offending among 176 juvenile offenders at high risk for committing additional serious crimes.
Abstract: This article examined the long-term effects of multisystemic therapy (MST) vs. individual therapy (IT) on the prevention of criminal behavior and violent offending among 176 juvenile offenders at high risk for committing additional serious crimes. Results from multiagent, multimethod assessment batteries conducted before and after treatment showed that MST was more effective than IT in improving key family correlates of antisocial behavior and in ameliorating adjustment problems in individual family members. Moreover, results from a 4-year follow-up of rearrest data showed that MST was more effective than IT in preventing future criminal behavior, including violent offending. The implications of such findings for the design of violence prevention programs are discussed.
600 citations
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National Institutes of Health1, University of California, Irvine2, University of Louisville3, Sheba Medical Center4, Istituto Superiore di Sanità5, University of North Carolina at Chapel Hill6, Universidad Miguel Hernández de Elche7, University of Parma8, University of Turin9, University of Chicago10, University of Massachusetts Amherst11, University of Missouri12
TL;DR: This review will examine changes to the incidence of obesity, T2D and non-alcoholic fatty liver disease (NAFLD), the contribution of genetics to these disorders and describe the role of the endocrine system in these metabolic disorders.
599 citations
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TL;DR: It may be more appropriate to use the diversification factor with both the entropy and Rumelt subjective measures for maximum accuracy (however, using either alone would be acceptable), and the results suggest that the SIC measure may be appropriate in more limited circumstances.
Abstract: This study measures the construct validity of an objective (entropy) approach to measurement of diversification strategy. Results indicate strong convergent, discriminant and criterion-related validity for the entropy measure of diversification. In particular, support for the entropy measure of diversification strategy was demonstrated through associations with the Rumelt subjective measure of diversification (convergent validity); size, debt and RD and accounting and market-based performance (criterion-related validity). Using structural equations modeling, the study reports strong standardized validity coefficients with a diversification factor (0.87 for the entropy and 0.94 for Rumelt's measures). The objective (SIC count) measure exhibits a low standardized validity coefficient (0.44) with the diversification factor. In a discriminant validity test, 70 percent of the variance in the entropy measure is unique to diversification while only 2.8 percent and 7.6 percent are unique to leverage and size, respectively. However, only 6.3 percent of the variance in the SIC count measure is unique to diversification. The study suggests that it may be more appropriate to use the diversification factor with both the entropy and Rumelt subjective measures for maximum accuracy (however, using either alone would be acceptable). Also, the results suggest that the SIC measure may be appropriate in more limited circumstances.
595 citations
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TL;DR: In this article, the authors developed evidence for the validity and reliability of an English-language translation of the Oldenburg Burnout Inventory (OLBI) and assessed the characteristics of the OLBI using data from 2599 employees across two samples from the United States.
Abstract: While the most commonly employed burnout measure has been the Maslach Burnout Inventory (MBI), researchers have been troubled by some of the psychometric limitations of that scale (e.g. wording of the scale items) as well as the limited conceptualization of burnout upon which it is based. As a result, Demerouti et al. have developed an alternative measure of burnout, the Oldenburg Burnout Inventory (OLBI). The purpose of this paper is to develop evidence for the validity and reliability of an English-language translation of the OLBI. As such, this study is among the first validation studies of the OLBI, and the first to assess the characteristics of the OLBI an English-speaking sample. Using data from 2599 employees across two samples from the United States (a generalized sample of working adults and a sample of fire department employees), our preliminary multi-trait, multi-method (MTMM) and confirmatory factor analyses suggested that the OLBI may be a viable alternative to the Maslach Burnout In...
595 citations
Authors
Showing all 41750 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Russel J. Reiter | 169 | 1646 | 121010 |
Chad A. Mirkin | 164 | 1078 | 134254 |
Robert Stone | 160 | 1756 | 167901 |
Howard I. Scher | 151 | 944 | 101737 |
Rajesh Kumar | 149 | 4439 | 140830 |
Joseph T. Hupp | 141 | 731 | 82647 |
Lihong V. Wang | 136 | 1118 | 72482 |
Stephen R. Carpenter | 131 | 464 | 109624 |
Jan A. Staessen | 130 | 1137 | 90057 |
Robert S. Brown | 130 | 1243 | 65822 |
Mauro Giavalisco | 128 | 412 | 69967 |
Kenneth J. Pienta | 127 | 671 | 64531 |
Matthew W. Gillman | 126 | 529 | 55835 |