Institution
Saint Francis University
Education•Loretto, Pennsylvania, United States•
About: Saint Francis University is a education organization based out in Loretto, Pennsylvania, United States. It is known for research contribution in the topics: Population & Osteoblast. The organization has 1694 authors who have published 2038 publications receiving 87149 citations.
Topics: Population, Osteoblast, Growth factor, Bone cell, Bone remodeling
Papers published on a yearly basis
Papers
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TL;DR: The Health Belief Model is used to assess the extraneous and intrinsic variables that prevent this clientele from attending childbirth class and proposes an intervention plan addressing these variables.
Abstract: Nearly half the families in a rural county in Southwestern Pennsylvania have annual incomes less than $35,000. Poverty, a predictor of adolescent sexual activity American Academy of Pediatrics. Adolescent pregnancy-current trends and issues: 1998. Pediatrics 1999; 103(2):516; Retrieved 06 15, 2002 Health Reference Center—Academic Web Site at http://web1.infotrac.galegroup.com/itw/infomark/1/1/1/purl=rc6_HRCA), may contribute to the adolescent pregnancy rate in this county. Twelve percent of clientele from a low-income pre/postnatal clinic in this county are adolescent mothers. Many low-income adolescents refrain from attending childbirth classes because there are no perceived benefits from these classes. The Health Belief Model is used to assess the extraneous and intrinsic variables that prevent this clientele from attending childbirth class and proposes an intervention plan addressing these variables.
2 citations
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TL;DR: Power comes from understanding values, and is the key to bridging the gap between authority and accountability.
2 citations
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TL;DR: In this paper, conditions for the existence of universal uniform covering maps and generalized uniform cover maps are given, and a characterization of generalized uniform covers maps that are approximated by uniform covers is provided.
Abstract: In ``Rips complexes and covers in the uniform category'' the authors define, following James, covering maps of uniform spaces and introduce the concept of generalized uniform covering maps. Conditions for the existence of universal uniform covering maps and generalized uniform covering maps are given. This paper notes that the universal generalized uniform covering map is uniformly equivalent to the inverse limit of uniform covering maps and is therefore approximated by uniform covering maps. A characterization of generalized uniform covering maps that are approximated by uniform covering maps is provided as well as a characterization of generalized uniform covering maps that are uniformly equivalent to the inverse limit of uniform covering maps. Inverse limits of group actions that induce generalized uniform covering maps are also treated.
2 citations
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TL;DR: Proteinuria could serve as a noninvasive screening tool, but the combination of proteinuria, leukocyturia, hematuria, and TLC serves as a better substitute marker for CD4 count in monitoring the disease progression among HIV patients in low-resource communities.
Abstract: We evaluated the individual and combined levels of urine dipstick and total lymphocyte count (TLC) as surrogate markers for CD4 count in a low-resource community in Ghana. This cross-sectional study recruited 200 HIV-infected patients from the Saint Francis Xavier Hospital, Assin Fosu, Ghana. Complete blood count, CD4 count, and urine dipstick analysis were measured for participants. The threshold values were determined as <350 cells/μl for CD4, <1200 cells/μl for TLC, and ≥+ on urine dipstick analysis. The mean age of participants was 43.09 years. Proteinuria ≥ + [aOR = 4.30 (3.0-18.5)], leukocyturia ≥ + [aOR = 2.91 (1.33-12.5)], hematuria ≥ + [aOR = 2.30 (1.08-9.64)], and TLC < 1200 cells/μl [aOR = 3.26 (3.94-15.29)] were significantly associated with increased risk of CD4 count < 350 cells/μl. Using the individual markers, the best substitute marker for predicting CD4 count < 350 cells/μl was proteinuria at a cutoff point ≥ 2++, AUC of 0.973, sensitivity of 97.6%, specificity of 100.0%, PPV of 100.0%, and NPV of 89.1%. A combination of ≤ 1200 TLC + ≥ 2++ (leukocyturia + proteinuria + hematuria) yielded an AUC of 0.980, sensitivity (72.8%), specificity (100.0%), PPV (100.0%), and NPV (97.9%). Proteinuria could serve as a noninvasive screening tool, but the combination of proteinuria, leukocyturia, hematuria, and TLC serves as a better substitute marker for CD4 count in monitoring the disease progression among HIV patients in low-resource communities.
2 citations
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TL;DR: While a major selling point for whitewater excursions are the perceived risks they offer, a review suggests that certain individuals demonstrate increased health risks, have little to no experience with whitewater rafting or kayaking, or practice unsafe behaviors that may increase chance of injury and death.
Abstract: IntroductionWhitewater rafting and kayaking are popular, adventurous excursions that are provided along various rivers throughout the United States. We expect that certain individuals' comorbid medical conditions may increase the risk of mortality by preventing them from being physically able to avoid inadvertently entering the water and subsequently rescue themselves.MethodsRetrospective data were collected from 11 El Paso County, Colorado coroner cases from 2014–2017 in which the individual was whitewater rafting or kayaking and drowning was determined to be the primary cause of death.ResultsHealth characteristics and autopsy findings of several of these individuals revealed that a significant number of these individuals were overweight or obese (90.9%), with 70% of these individuals also demonstrating cardiomegaly on examination. Of the cases studied, 81.8% of individuals had little to no experience with whitewater rafting or kayaking and 45% were under the influence of marijuana or alcohol based on to...
2 citations
Authors
Showing all 1697 results
Name | H-index | Papers | Citations |
---|---|---|---|
Steven M. Greenberg | 105 | 488 | 44587 |
Linus Pauling | 100 | 536 | 63412 |
Ernesto Canalis | 98 | 331 | 30085 |
John S. Gottdiener | 94 | 316 | 49248 |
Dalane W. Kitzman | 93 | 474 | 36501 |
Joseph F. Polak | 91 | 406 | 38083 |
Charles A. Boucher | 90 | 549 | 31769 |
Lawrence G. Raisz | 82 | 315 | 26147 |
Julius M. Gardin | 76 | 253 | 38063 |
Jeffrey S. Hyams | 72 | 357 | 22166 |
James J. Vredenburgh | 65 | 280 | 18037 |
Michael Centrella | 62 | 120 | 11936 |
Nathaniel Reichek | 62 | 248 | 22847 |
Gerard P. Aurigemma | 59 | 212 | 17127 |
Thomas L. McCarthy | 57 | 107 | 10167 |