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Institution

Wake Forest University

EducationWinston-Salem, North Carolina, United States
About: Wake Forest University is a education organization based out in Winston-Salem, North Carolina, United States. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 21499 authors who have published 48731 publications receiving 2246027 citations. The organization is also known as: Wake Forest College.


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Book ChapterDOI
TL;DR: Self-esteem is a sociometer, essentially an internal monitor of the degree to which one is valued or devalued as a relational partner as mentioned in this paper, and is defined as a person's appraisal of his or her value.
Abstract: Publisher Summary This chapter describes self-esteem and provides an overview of existing perspectives on self-esteem. Self-esteem is a sociometer, essentially an internal monitor of the degree to which one is valued or devalued as a relational partner. The chapter evaluates a series of specific, testable hypotheses about self-esteem and examines laboratory and other findings in relevance to the sociometer theory and its specific hypotheses. This sociometer theory also reinterprets several interpersonal phenomena that have been explained previously in terms of the self-esteem motive. In specific, self-esteem refers to a person's appraisal of his or her value. Global self-esteem denotes a global value judgment about the self, whereas domain-specific self-esteem involves appraisals of one's value in a particular area. Self-esteem is an affectively laden self-evaluation. Self-evaluations are in turn assessments of one's behavior or attributes along evaluative dimensions. Some self-evaluations are dispassionate. whereas others are affectively laden. Self-esteem focuses primarily on individual differences in dispositional or trait self-esteem.

1,896 citations

Journal ArticleDOI
28 May 2003-JAMA
TL;DR: Estrogen plus progestin therapy increased the risk for probable dementia in postmenopausal women aged 65 years or older and did not prevent mild cognitive impairment in these women, supporting the conclusion that the risks of estrogen plus progESTin outweigh the benefits.
Abstract: ContextPostmenopausal women have a greater risk than men of developing Alzheimer disease, but studies of the effects of estrogen therapy on Alzheimer disease have been inconsistent. On July 8, 2002, the study drugs, estrogen plus progestin, in the Women's Health Initiative (WHI) trial were discontinued because of certain increased health risks in women receiving combined hormone therapy.ObjectiveTo evaluate the effect of estrogen plus progestin on the incidence of dementia and mild cognitive impairment compared with placebo.Design, Setting, and ParticipantsThe Women's Health Initiative Memory Study (WHIMS), a randomized, double-blind, placebo-controlled clinical trial, began enrolling participants from the Women's Health Initiative (WHI) estrogen plus progestin trial in May 1996. Of the 4894 eligible participants of the WHI study, 4532 (92.6%) postmenopausal women free of probable dementia, aged 65 years or older, and recruited from 39 of 40 WHI clinical centers were enrolled in the WHIMS.InterventionParticipants received either 1 daily tablet of 0.625 mg of conjugated equine estrogen plus 2.5 mg of medroxyprogesterone acetate (n = 2229), or a matching placebo (n = 2303).Main Outcome MeasuresIncidence of probable dementia (primary outcome) and mild cognitive impairment (secondary outcome) were identified through a structured clinical assessment.ResultsThe mean (SD) time between the date of randomization into WHI and the last Modified Mini-Mental State Examination (3MSE) for all WHIMS participants was 4.05 (1.19) years. Overall, 61 women were diagnosed with probable dementia, 40 (66%) in the estrogen plus progestin group compared with 21 (34%) in the placebo group. The hazard ratio (HR) for probable dementia was 2.05 (95% confidence interval [CI], 1.21-3.48; 45 vs 22 per 10 000 person-years; P = .01). This increased risk would result in an additional 23 cases of dementia per 10 000 women per year. Alzheimer disease was the most common classification of dementia in both study groups. Treatment effects on mild cognitive impairment did not differ between groups (HR, 1.07; 95% CI, 0.74-1.55; 63 vs 59 cases per 10 000 person-years; P = .72).ConclusionsEstrogen plus progestin therapy increased the risk for probable dementia in postmenopausal women aged 65 years or older. In addition, estrogen plus progestin therapy did not prevent mild cognitive impairment in these women. These findings, coupled with previously reported WHI data, support the conclusion that the risks of estrogen plus progestin outweigh the benefits.

1,894 citations

Journal ArticleDOI
Andrew R. Wood1, Tõnu Esko2, Jian Yang3, Sailaja Vedantam4  +441 moreInstitutions (132)
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.
Abstract: Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

1,872 citations

Journal ArticleDOI
TL;DR: In this article, the prevalence of aortic sclerosis and stenosis in the elderly and to identify clinical factors associated with degenerative aortric valve disease were determined using stepwise logistic regression analysis.

1,848 citations

Journal ArticleDOI
15 Feb 2010
TL;DR: Five distinct clinical phenotypes of asthma have been identified using an unsupervised hierarchical cluster analysis, which supports clinical heterogeneity in asthma and the need for new approaches for the classification of disease severity in asthma.
Abstract: Rationale: The Severe Asthma Research Program cohort includes subjects with persistent asthma who have undergone detailed phenotypic characterization. Previous univariate methods compared features of mild, moderate, and severe asthma.Objectives: To identify novel asthma phenotypes using an unsupervised hierarchical cluster analysis.Methods: Reduction of the initial 628 variables to 34 core variables was achieved by elimination of redundant data and transformation of categorical variables into ranked ordinal composite variables. Cluster analysis was performed on 726 subjects.Measurements and Main Results: Five groups were identified. Subjects in Cluster 1 (n = 110) have early onset atopic asthma with normal lung function treated with two or fewer controller medications (82%) and minimal health care utilization. Cluster 2 (n = 321) consists of subjects with early-onset atopic asthma and preserved lung function but increased medication requirements (29% on three or more medications) and health care utilizati...

1,838 citations


Authors

Showing all 21721 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Ralph B. D'Agostino2261287229636
David J. Hunter2131836207050
Ronald Klein1941305149140
Luigi Ferrucci1931601181199
Bruce M. Psaty1811205138244
Kenneth C. Anderson1781138126072
Brenda W.J.H. Penninx1701139119082
Russel J. Reiter1691646121010
David R. Jacobs1651262113892
Barbara E.K. Klein16085693319
Christopher J. O'Donnell159869126278
Steven R. Cummings158579104007
David Cella1561258106402
Jack M. Guralnik14845383701
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022343
20212,610
20202,331
20192,132
20181,978