Percorrer por autor "Bernardes, Catarina"
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- Addressing ageism : be active in aging: study protocolPublication . Fernandes, Júlio Belo; Ramos, Catarina; Domingos, Josefa; Castro, Cidália; Simões, Aida; Bernardes, Catarina; Fonseca, Jorge; Proença, Luís; Grunho, Miguel; Moleirinho-Alves, Paula; Simões, Sérgio; Sousa-Catita, Diogo; Vareta, Diana Alves; Godinho, CatarinaAgeism refers to stereotyping (how we think), prejudice (how we feel), and discrimination (how we act) against people based on their age. It is a serious public health issue that can negatively impact older people’s health and quality of life. The present protocol has several goals: (1) adapt the Ambivalent Ageism Scale for the general Portuguese population and healthcare professionals; (2) assess the factorial invariance of the questionnaire between general population vs. healthcare professionals; (3) evaluate the level of ageism and its predictors in the general population and evaluate the level of ageism and its predictors in healthcare professionals; (4) compare the levels of ageism between groups and the invariance between groups regarding the explanatory model of predictors of ageism. This quantitative, cross-sectional, descriptive, observational study will be developed in partnership with several Healthcare Professional Boards/Associations, National Geriatrics and Gerontology Associations, and the Universities of the Third Age Network Association. The web-based survey will be conducted on a convenience sample recruited via various social media and institutional channels. The survey consists of three questionnaires: (1) Demographic data; (2) Ambivalent Ageism Scale; (3) Palmore-Neri and Cachioni questionnaire. The methodology of this study will include translation, pilot testing, semantic adjustment, exploratory and confirmatory factor analysis, and multigroup analysis of the Ambivalent Ageism Scale. Data will be treated using International Business Machines Corporation (IBM®) Statistical Package for the Social Sciences (SPSS) software and Analysis of Moment Structures (AMOS). Descriptive analysis will be conducted to assess the level of ageism in the study sample. The ageism levels between the two groups will be compared using the t-student test, and two Structural Equation Modeling will be developed to evaluate the predictors of ageism. Assessing ageism is necessary to allow healthcare professionals and policymakers to design and implement strategies to solve or reduce this issue. Findings from this study will generate knowledge relevant to healthcare and medical courses along with anti-ageism education for the Portuguese population.
- Análise de polimorfismos no gene humano IGF-IPublication . Sítima, Maria; Dourado-Santos, Tiago; Bernardes, Catarina; Cavaleiro, Inês; Silva, Alexandra Maia e
- Exosomes: are they a new therapeutic tool? A concise reviewPublication . Camoesas, Maria Margarida; Bernardes, Catarina"There has been a successive advancement in the knowledge about exosomes, such as the discovery of genetic information in their composition, which created a new view on the medical applications of these extracellular vesicles and widened the range of their utility as therapeutic agents with capability to naturally transfer molecules locally as well as at the system level."
- Healthcare-associated infections vs free-living amoebae - Are they related?Publication . Barreiros, Catarina; Bernardes, CatarinaIn this work it was done a general review about HCAI and the knowledge that relates them with amoebas, in order to call attention to the fact that these protozoa could constitute a public health problem.
- Methamphetamine use as a developmental factor in Parkinson's DiseasePublication . Martins, Ana; Leça, Diogo; Couceiro, Joana; Bernardes, Catarina
- Rs266882 polymorphism analysis in KLK3 gene by RFLPPCR in cases of prostate cancerPublication . Franco, Joana; Cavaleiro, Inês; Bernardes, Catarina; Ribeiro, Ana Clara; Silva, Alexandra Maia e"The prostate cancer (PC) is one of the most frequent neoplasia in men even though not the deadliest. Every year more than 1,1 million men are diagnose with PC worldwide. The principal risks factors are: age, diet, familiar predisposition, race and hormones. Gleason classification is use to graduate PC based upon the histologic pattern of tumoral growth. Additionally to this classification is use TNM that allow to describe the cancer severity for each individual. Prostate-specific antigen (PSA) has been used as biomarker of PC, however it isn´t a specific marker for cancer detection. This protein is coded by KLK3 gene (located at 19q13.41) and it is regulated by androgen receptors through ligation to consensus sequences in promoter region of KLK3 – Androgen Response Elements (ARE). In ARE-I, located at -158 position, there is a single polymorphism nucleotide (SNP) named rs266882, which consists of substitution of guanine (G) for adenine (A)."