Institution
Michigan State University
Education•East Lansing, Michigan, United States•
About: Michigan State University is a education organization based out in East Lansing, Michigan, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 60109 authors who have published 137074 publications receiving 5633022 citations. The organization is also known as: MSU & Michigan State.
Topics: Population, Poison control, Gene, Galaxy, Large Hadron Collider
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the authors identify an agreed-upon definition of engagement, investigate its uniqueness, and clarify its nomological network of constructs using a conceptual framework based on Macey and Schneider (2008).
Abstract: Many researchers have concerns about work engagement's distinction from other constructs and its theoretical merit. The goals of this study were to identify an agreed-upon definition of engagement, to investigate its uniqueness, and to clarify its nomological network of constructs. Using a conceptual framework based on Macey and Schneider (2008; Industrial and Organizational Psychology, 1, 3–30), we found that engagement exhibits discriminant validity from, and criterion related validity over, job attitudes. We also found that engagement is related to several key antecedents and consequences. Finally, we used meta-analytic path modeling to test the role of engagement as a mediator of the relation between distal antecedents and job performance, finding support for our conceptual framework. In sum, our results suggest that work engagement is a useful construct that deserves further attention.
2,170 citations
••
Institute for Health Metrics and Evaluation1, University of Texas Health Science Center at San Antonio2, Emory University3, Mayo Clinic4, Harvard University5, Boston University6, Michigan State University7, National Institutes of Health8, Cedars-Sinai Medical Center9, Health Effects Institute10, Loyola University Chicago11, University of Washington12, University of California, San Diego13, University of Pennsylvania14, Veterans Health Administration15, Beth Israel Medical Center16, Johns Hopkins University17, Imperial College London18, Carnegie Mellon University19, Howard University20, University of California, San Francisco21, Columbia University22, New York University23, Karolinska Institutet24, George Mason University25, Nova Southeastern University26, University of Miami27, Northwestern University28, Thomas Jefferson University29, China Medical Board30, Pacific Institute31, Duke University32, Brigham and Women's Hospital33, California Environmental Protection Agency34, Centers for Medicare and Medicaid Services35, Brigham Young University36, University of Missouri37, University of California, Los Angeles38, Vanderbilt University39, University of Maryland, College Park40, University of Alabama at Birmingham41, Brandeis University42, University of Tokyo43, The Queen's Medical Center44, Drexel University45, Cincinnati Children's Hospital Medical Center46, National Institute for Occupational Safety and Health47, Brown University48, University of Melbourne49
TL;DR: To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD), systematic analysis of descriptive epidemiology was used.
Abstract: Importance Understanding the major health problems in the United States and how they are changing over time is critical for informing national health policy. Objectives To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD) countries. Design We used the systematic analysis of descriptive epidemiology of 291 diseases and injuries, 1160 sequelae of these diseases and injuries, and 67 risk factors or clusters of risk factors from 1990 to 2010 for 187 countries developed for the Global Burden of Disease 2010 Study to describe the health status of the United States and to compare US health outcomes with those of 34 OECD countries. Years of life lost due to premature mortality (YLLs) were computed by multiplying the number of deaths at each age by a reference life expectancy at that age. Years lived with disability (YLDs) were calculated by multiplying prevalence (based on systematic reviews) by the disability weight (based on population-based surveys) for each sequela; disability in this study refers to any short- or long-term loss of health. Disability-adjusted life-years (DALYs) were estimated as the sum of YLDs and YLLs. Deaths and DALYs related to risk factors were based on systematic reviews and meta-analyses of exposure data and relative risks for risk-outcome pairs. Healthy life expectancy (HALE) was used to summarize overall population health, accounting for both length of life and levels of ill health experienced at different ages. Results US life expectancy for both sexes combined increased from 75.2 years in 1990 to 78.2 years in 2010; during the same period, HALE increased from 65.8 years to 68.1 years. The diseases and injuries with the largest number of YLLs in 2010 were ischemic heart disease, lung cancer, stroke, chronic obstructive pulmonary disease, and road injury. Age-standardized YLL rates increased for Alzheimer disease, drug use disorders, chronic kidney disease, kidney cancer, and falls. The diseases with the largest number of YLDs in 2010 were low back pain, major depressive disorder, other musculoskeletal disorders, neck pain, and anxiety disorders. As the US population has aged, YLDs have comprised a larger share of DALYs than have YLLs. The leading risk factors related to DALYs were dietary risks, tobacco smoking, high body mass index, high blood pressure, high fasting plasma glucose, physical inactivity, and alcohol use. Among 34 OECD countries between 1990 and 2010, the US rank for the age-standardized death rate changed from 18th to 27th, for the age-standardized YLL rate from 23rd to 28th, for the age-standardized YLD rate from 5th to 6th, for life expectancy at birth from 20th to 27th, and for HALE from 14th to 26th. Conclusions and Relevance From 1990 to 2010, the United States made substantial progress in improving health. Life expectancy at birth and HALE increased, all-cause death rates at all ages decreased, and age-specific rates of years lived with disability remained stable. However, morbidity and chronic disability now account for nearly half of the US health burden, and improvements in population health in the United States have not kept pace with advances in population health in other wealthy nations.
2,159 citations
•
2,135 citations
•
03 Jun 1998TL;DR: This paper defines Content Analysis as a Social Science Tool as a social science tool and designs a content analysis system based on data collected in this study.
Abstract: Contents: Preface. Introduction. Defining Content Analysis as a Social Science Tool. Designing a Content Analysis. Measurement. Sampling. Reliability. Validity. Data Analysis. Computers.
2,131 citations
••
TL;DR: The Ribosomal Database Project (RDP-II), previously described by Maidak et al. (2000), continued during the past year to add new rRNA sequences to the aligned data and to improve the analysis commands.
Abstract: The Ribosomal Database Project (RDP) is a curated database that offers ribosome-related data, analysis services and associated computer programs. The offerings include phylogenetically ordered alignments of ribosomal RNA (rRNA) sequences, derived phylogenetic trees, rRNA secondary structure diagrams, and various software for handling, analyzing and displaying alignments and trees. The data are available via anonymous FTP (rdp.life.uiuc.edu), electronic mail (server@rdp.life.uiuc.edu), gopher (rdpgopher.life.uiuc.edu) and WWW (http://rdpwww.life.uiuc.edu/ ). The electronic mail and WWW servers provide ribosomal probe checking, approximate phylogenetic placement of user-submitted sequences, screening for possible chimeric rRNA sequences, automated alignment, and a suggested placement of an unknown sequence on an existing phylogenetic tree.
2,106 citations
Authors
Showing all 60636 results
Name | H-index | Papers | Citations |
---|---|---|---|
David Miller | 203 | 2573 | 204840 |
Anil K. Jain | 183 | 1016 | 192151 |
D. M. Strom | 176 | 3167 | 194314 |
Feng Zhang | 172 | 1278 | 181865 |
Derek R. Lovley | 168 | 582 | 95315 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Donald E. Ingber | 164 | 610 | 100682 |
J. E. Brau | 162 | 1949 | 157675 |
Murray F. Brennan | 161 | 925 | 97087 |
Peter B. Reich | 159 | 790 | 110377 |
Wei Li | 158 | 1855 | 124748 |
Timothy C. Beers | 156 | 934 | 102581 |
Claude Bouchard | 153 | 1076 | 115307 |
Mercouri G. Kanatzidis | 152 | 1854 | 113022 |
James J. Collins | 151 | 669 | 89476 |