Browsing by Author "Capelas, ML"
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- Bioelectrical Impedance Analysis (BIA) for the Assessment of Body Composition in Oncology: A Scoping ReviewPublication . Branco, MG; Mateus, C; Capelas, ML; Pimenta, N; Santos, T; Mäkitie, A; Ganhão-Arranhado, S; Trabulo, C; Ravasco, PBioelectrical Impedance Analysis (BIA) is a reliable, non-invasive, objective, and cost-effective body composition assessment method, with high reproducibility. This scoping review aims to evaluate the current scientific and clinical evidence on BIA for body composition assessment in oncology patients, under active treatment. Literature search was conducted through MEDLINE, CINAHL, Scopus and Web of Science databases, following PRISMA-ScR Guidelines. Inclusion criteria comprised studies reporting the use of BIA for body composition evaluation in adults with cancer diagnosis. Studies including non-cancer pathology or only assessing nutritional status were excluded. This scoping review comprised a total of 36 studies: 25 were original studies including 18 prospective studies, six cross-sectional studies and one retrospective study and 11 were systematic reviews. Population size for the included original articles ranged from 18 to 1217 participants, comprising a total of 3015 patients with cancer with a mean baseline Body Mass Index (BMI) ranging from 20.3 to 30.0 kg/m2 and mean age ranging between 47 and 70 years. Review articles included a total of 273 studies, with a total of 78,350 participants. The current review considered studies reporting patients with head and neck cancer (HNC) (n = 8), breast cancer (BC) (n = 4), esophageal cancer (EC) (n = 2), liver cancer (n = 2), pancreatic cancer (PC) (n = 3), gastric cancer (GC) (n = 3), colorectal cancer (CRC) (n = 8), lung cancer (LC) (n = 1), skin cancer (SK) (n = 1) and multiple cancer types (n = 6). BIA is a suitable and valid method for the assessment of body composition in oncology. BIA-derived measures have shown good potential and relevant clinical value in preoperative risk evaluation, in the reduction of postoperative complications and hospital stay and as an important prognostic indicator in persons with cancer. Future research on the diagnostic value and clinical applications of BIA and BIA-derived phase angle (PhA) should be conducted in order to predict its impact on patient survival and other clinical outcomes.
- Propriedades psicométricas do Questionário Geral de Saúde 28 itens em enfermeiros:Publication . Seabra, Paulo; Capelas, ML; Lopes, Joaquim Manuel de Oliveira; Calado, Mariana; Pessoa, EzequielEnquadramento: A avaliação das propriedades psicométricas dos instrumentos de medida, quando aplicados em diferentes populações, é essencial. Objetivo: Analisar as propriedades psicométricas do Questionário de Saúde Geral 28 itens (GHQ28) em enfermeiros. Metodologia: Estudo metodológico de validação de instrumentos de medida. Análise das propriedades psicométricas, análise fatorial exploratória (AFE) pelo método dos componentes principais, e curva Receiver Operating Characteristic (ROC), com uma amostra não probabilística de 1.264 enfermeiros. Resultados: A AFE propõe a manutenção de 4 fatores e eliminação de 4 itens em 3 dimensões (item 3,16, 21,26). A variância explicada pelos 4 fatores foi 61,5% e o alfa de Cronbach 0,93. Os resultados de saúde geral não sofreram variabilidade significativa após se retirarem os 4 itens. A curva ROC, comparando a versão 24 itens com a de 28, revelou uma área sob a curva (AUC) de 0,996 (p < 0,001) e ponto de corte 20,5, com uma sensibilidade de 96,3% e especificidade de 98,4%. Conclusão: A reavaliação das propriedades psicométricas do GHQ28 em enfermeiros, sugere redução para 24 itens
- Translation, cross-cultural adaptation, and validation of measurement instruments :Publication . J. M. Cruchinho, Paulo; López-Franco, María-Dolores; Capelas, ML; Almeida, Sofia; Bennett, Phillippa May; Miranda da Silva, Marcelle; Teixeira, Gisela; Nunes, Elisabete; Lucas, P.; Mendes Gaspar, Maria FilomenaCross-cultural validation of self-reported measurement instruments for research is a long and complex process, which involves specific risks of bias that could affect the research process and results. Furthermore, it requires researchers to have a wide range of technical knowledge about the translation, adaptation and pre-test aspects, their purposes and options, about the different psychometric properties, and the required evidence for their assessment and knowledge about the quantitative data processing and analysis using statistical software. This article aimed: 1) identify all guidelines and recommendations for translation, cross-cultural adaptation, and validation within the healthcare sciences; 2) describe the methodological approaches established in these guidelines for conducting translation, adaptation, and cross-cultural validation; and 3) provide a practical guideline featuring various methodological options for novice researchers involved in translating, adapting, and validating measurement instruments. Forty-two guidelines on translation, adaptation, or cross-cultural validation of measurement instruments were obtained from “CINAHL with Full Text” (via EBSCO) and “MEDLINE with Full Text”. A content analysis was conducted to identify the similarities and differences in the methodological approaches recommended. Bases on these similarities and differences, we proposed an eight-step guideline that includes: a) forward translation; 2) synthesis of translations; 3) back translation; 4) harmonization; 5) pre-testing; 6) field testing; 7) psychometric validation, and 8) analysis of psychometric properties. It is a practical guideline because it provides extensive and comprehensive information on the methodological approaches available to researchers. This is the first methodological literature review carried out in the healthcare sciences regarding the methodological approaches recommended by existing guidelines.