117,333 research outputs found
Can the Mediterranean diet lower HbA1c in type 2 diabetes? Results from a randomized cross-over study
C. Itsiopoulos, L. Brazionis, M. Kaimakamis, M. Cameron, J.D. Best, K. O’Dea, K. Rowle
Plasma retinol: a novel marker for cardiovascular disease mortality in Australian adults
L. Brazionis, K.Z. Walker, C. Itsiopoulos and K. O’De
Homocysteine and diabetic retinopathy
Objective— Homocysteine is an emerging risk factor for cardiovascular and nondiabetic ocular vaso-occlusive diseases. However, studies of the relationship between homocysteine and diabetic retinopathy have reported inconsistent results. The purpose of this study was to evaluate the relationship between plasma total homocysteine concentration and diabetic retinopathy. Research Design And Methods— We assessed the homocysteine-retinopathy relationship in 168 men and women with type 2 diabetes in a community-based, cross-sectional study. We photodocumented diabetic retinopathy status and measured plasma total homocysteine concentration using a commercial fluorescence polarization immunoassay enzymatic kit. Data for selected clinical/demographic variables and established risk factors for diabetic retinopathy were obtained from fasting blood samples and an interviewer-assisted lifestyle questionnaire. Results— A higher mean plasma total homocysteine concentration was observed in diabetic individuals with retinopathy than in those without retinopathy (11.5 _mol/l [95% CI 10.4 –12.5] vs. 9.6 _mol/l [9.1–10.2], P _ 0.001). Furthermore, the relationship between homocysteine and diabetic retinopathy was not explained by renal dysfunction and was independent of the other major risk factors for diabetic retinopathy (duration of diabetes, A1C, and systolic blood pressure) and determinants of higher homocysteine concentrations (age, sex, and red cell folate) (odds ratio 1.20 [95% CI 1.023–1.41], P _ 0.024). Conclusions— Plasma total homocysteine concentration may be a useful biomarker and/or a novel risk factor for increased risk of diabetic retinopathy in people with type 2 diabetes.Laima Brazionis, Kevin Rowley, Catherine Itsiopoulos, Colin Alexander Harper and Kerin O’de
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?
In this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Letter from unknown writer to Jesse L. Boyce
Letter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Characterizing whole diets of young children from developed countries and the association between diet and health: a systematic review
Link to a related website: https://academic.oup.com/nutritionreviews/article-pdf/69/8/449/24094433/nutritionreviews69-0449.pdf, Open Access via UnpaywallEarly childhood is an important nutritional period that involves the transition from a milk-based diet to ordinary foods. A systematic review was conducted of studies that applied whole-of-diet analysis of children aged 1−5 years to examine associations between diet and nutrition, health, and development. Literature searches identified 40 articles using dietary indices, principal component analysis, or cluster analysis. Reports that applied indices (n = 23, 18 indices) were cross-sectional, and most measured diet quality or variety. Articles reporting principal component or cluster analyses (n = 17) described between two and six dietary patterns, and most identified healthy, unhealthy, and traditional patterns. In cross-sectional analyses, mixed associations were found between index or pattern scores and nutrient intake (n = 10), nutritional biomarkers (n = 1), and anthropometry (n = 10). Five reports from two birth cohorts showed healthier dietary patterns were associated with better lean mass, cognition, and behavior, but not with bone mass or body mass index at later ages. Few studies have characterized the diets of children under 5 years of age and linked diet with health. Given the limited evidence, research establishing the predictive validity of whole-of-diet methods in childhood is needed.Lisa G Smithers, Rebecca K Golley, Laima Brazionis, and John W Lync
Sarah L. Blum Author Visit - Warrior Nurse: PTSD and Healing
Hear Sarah L. Blum, author of Women Under Fire: Abuse in the Military, discuss her newest book, Warrior Nurse: PTSD and Healing followed by a Q&A and book signing.
Sarah L. Blum is a decorated Vietnam veteran who served as an operating room nurse during the intense fighting of 1967. In recognition of her service, she was awarded the Army Commendation Medal.
Sponsored by CWU Veterans Center and CWU Libraries.https://digitalcommons.cwu.edu/libraryevents/1252/thumbnail.jp
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