Chrononutrition is a science that studies the relationship between mealtimes and sleep/wake habits. However, these behaviors are not evaluated by a single questionnaire. Therefore, this study aimed to translate and culturally adapt the Chrononutrition Profile - Questionnaire (CP-Q) into Portuguese and validate the Brazilian version. The translation and cultural adaptation process consisted of: translation; synthesis of translations; backtranslation; expert committee and pre-test. The validation was performed with 635 participants (32.4 ± 11.2 years) who answered the CPQ-Brazil and Pittsburgh Sleep Quality Index (PSQI); Munich Chronotype Questionnaire (MCTQ); Night Eating questionnaire; Quality of life and health index (SF-36) and 24 h-recall. The participants were mostly female, single, from the northeastern region, a eutrophic profile, and average quality of life score of 55.8 ± 17.9. Moderate to strong correlations were observed in the sleep/wake schedules between CPQ-Brazil, PSQI and MCTQ, both for work/study days and free days. The correlations between largest meal, skipping breakfast, eating window, nocturnal latency, and last eating event with the same variables in the 24 h-recall showed moderate to strong positive correlations. The translation, adaptation, validation and reproducibility of the CP-Q generates a valid and reliable questionnaire to assess the sleep/wake and eating habits in the Brazilian population.
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http://dx.doi.org/10.1080/07420528.2023.2187223 | DOI Listing |
J Ren Care
March 2025
Faculty of Sciences Semlalia, Laboratory of Pharmacology, Neurobiology, Anthropobiology and Environment, Cadi Ayyad University, Marrakech, Morocco.
Background: Arteriovenous fistula self-care behaviours in patients receiving haemodialysis are essential to maintain patency of vascular access and prevent its life-threatening complications. Assessing arteriovenous fistula self-care behaviours in patients receiving haemodialysis requires a reliable and valid tool.
Objective: The aim of this study was to adapt and translate the Portuguese scale for the assessment of self-care behaviours of arteriovenous fistula in patients receiving haemodialysis into the Moroccan dialect and evaluate its psychometric properties in the Moroccan context.
Mol Ther
January 2025
Academic Unit of Ophthalmology, Translational Health Sciences, University of Bristol, Bristol, BS8 1TD, UK; NIHR Biomedical Research Centre of Ophthalmology, Moorfields Eye Hospital, London, EC1V 2PD, UK. Electronic address:
Progress for ocular AAV gene therapy has been hindered by AAV-induced inflammation, limiting dose escalation and long-term efficacy. Broadly, the extent of inflammatory responses alters with age and sex, yet these factors are poorly represented in pre-clinical development of ocular AAV gene therapies. Here, we combined clinical imaging, flow cytometry and bulk-sequencing of sorted microglia to interrogate the longitudinal inflammatory response following intravitreal delivery of AAV2 in young (3-month), middle aged (9-month) and old (18-month) Cx3cr1-creER:R26tdTomato+/- mice of both sexes.
View Article and Find Full Text PDFMol Ther
January 2025
College of Veterinary Medicine, Jeonbuk National University, 79 Gobong-ro, Iksan City, Jeollabuk-do, 54596, Republic of Korea. Electronic address:
Cancer immunotherapy has revolutionized cancer treatment due to its precise, target-specific approach compared to conventional therapies. However, treating solid tumors remains challenging as these tumors are inherently immunosuppressive, and their tumor microenvironment (TME) often limits therapeutic efficacy. Interestingly, certain bacterial species offer a promising alternative by exhibiting an innate ability to target and proliferate within tumor environments.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFSci Rep
January 2025
Fischell Department of Bioengineering, University of Maryland, College Park, USA.
The development of optical sensors for label-free quantification of cell parameters has numerous uses in the biomedical arena. However, using current optical probes requires the laborious collection of sufficiently large datasets that can be used to calibrate optical probe signals to true metabolite concentrations. Further, most practitioners find it difficult to confidently adapt black box chemometric models that are difficult to troubleshoot in high-stakes applications such as biopharmaceutical manufacturing.
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