Institution
Oregon State University
Education•Corvallis, Oregon, United States•
About: Oregon State University is a education organization based out in Corvallis, Oregon, United States. It is known for research contribution in the topics: Population & Gene. The organization has 28192 authors who have published 64044 publications receiving 2634108 citations. The organization is also known as: Oregon Agricultural College & OSU.
Topics: Population, Gene, Context (language use), Climate change, Soil water
Papers published on a yearly basis
Papers
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TL;DR: This paper used longitudinal data from 307 mothers with firstborn infants participating in a home-visitation, child-abuse prevention program and found that the retrospective pretest methodology produced a more legitimate assessment of program outcomes than did the traditional pretest-posttest methodology.
Abstract: This study used longitudinal data from 307 mothers with firstborn infants participating in a home-visitation, child-abuse prevention program. A self-report measure of specific constructs the program hoped to affect showed that the retrospective pretest methodology produced a more legitimate assessment of program outcomes than did the traditional pretest-posttest methodology. Results showed that when response shift bias was present, traditional pretest-posttest comparisons resulted in an underestimation of program effects that could easily be avoided by the retrospective pretest methodology. With demands for documenting program outcomes increasing, retrospective pretest designs are shown to be a simple, convenient, and expeditious method for assessing program effects in responsive interventions. The limits of retrospective pretests, and methods for strengthening their use, are discussed.
444 citations
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TL;DR: Odds ratios indicate that subjects with high levels of social support were significantly less likely to be sedentary than those with low support, even after adjusting for race/ethnicity.
444 citations
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TL;DR: It was showed that being a woman, having fair/poor general health status, being 18 to 24 years old, spending 8 or more hours on screens daily, and knowing someone infected predicted higher levels of psychological impact when risk factors were considered simultaneously.
Abstract: Background University students are increasingly recognized as a vulnerable population, suffering from higher levels of anxiety, depression, substance abuse, and disordered eating compared to the general population. Therefore, when the nature of their educational experience radically changes—such as sheltering in place during the COVID-19 pandemic—the burden on the mental health of this vulnerable population is amplified. The objectives of this study are to 1) identify the array of psychological impacts COVID-19 has on students, 2) develop profiles to characterize students' anticipated levels of psychological impact during the pandemic, and 3) evaluate potential sociodemographic, lifestyle-related, and awareness of people infected with COVID-19 risk factors that could make students more likely to experience these impacts. Methods Cross-sectional data were collected through web-based questionnaires from seven U.S. universities. Representative and convenience sampling was used to invite students to complete the questionnaires in mid-March to early-May 2020, when most coronavirus-related sheltering in place orders were in effect. We received 2,534 completed responses, of which 61% were from women, 79% from non-Hispanic Whites, and 20% from graduate students. Results Exploratory factor analysis on close-ended responses resulted in two latent constructs, which we used to identify profiles of students with latent profile analysis, including high (45% of sample), moderate (40%), and low (14%) levels of psychological impact. Bivariate associations showed students who were women, were non-Hispanic Asian, in fair/poor health, of below-average relative family income, or who knew someone infected with COVID-19 experienced higher levels of psychological impact. Students who were non-Hispanic White, above-average social class, spent at least two hours outside, or less than eight hours on electronic screens were likely to experience lower levels of psychological impact. Multivariate modeling (mixed-effects logistic regression) showed that being a woman, having fair/poor general health status, being 18 to 24 years old, spending 8 or more hours on screens daily, and knowing someone infected predicted higher levels of psychological impact when risk factors were considered simultaneously. Conclusion Inadequate efforts to recognize and address college students’ mental health challenges, especially during a pandemic, could have long-term consequences on their health and education.
444 citations
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TL;DR: In this paper, a series of physical and chemical leaching-decomposition experiments were conducted to identify the major and trace element composition of the biogenic particulate matter of plankton.
443 citations
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TL;DR: In this article, the authors compared three statistical techniques (Reduced Major Axis regression, Gradient Nearest Neighbor imputation, and Random Forests regression trees) for modeling biomass to better understand how the choice of model type affected predictions of biomass dynamics.
443 citations
Authors
Showing all 28447 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Stone | 160 | 1756 | 167901 |
Menachem Elimelech | 157 | 547 | 95285 |
Thomas J. Smith | 140 | 1775 | 113919 |
Harold A. Mooney | 135 | 450 | 100404 |
Jerry M. Melillo | 134 | 383 | 68894 |
John F. Thompson | 132 | 1420 | 95894 |
Thomas N. Williams | 132 | 1145 | 95109 |
Peter M. Vitousek | 127 | 352 | 96184 |
Steven W. Running | 126 | 355 | 76265 |
Vincenzo Di Marzo | 126 | 659 | 60240 |
J. D. Hansen | 122 | 975 | 76198 |
Peter Molnar | 118 | 446 | 53480 |
Michael R. Hoffmann | 109 | 500 | 63474 |
David Pollard | 108 | 438 | 39550 |
David J. Hill | 107 | 1364 | 57746 |