In large transdisciplinary research teams finding the balance between using the most appropriate and needed measures for data collection and minimising participant burden is often a significant challenge. This paper aims to describe the development process for selecting a set of determinants of physical activity behaviours in 9-12 years old children. An internal small group ( = 8) worked iteratively with an external large group of experts and stakeholders ( = 30-50) in three steps: 1) External input - Identification through expert opinion; 2) Internal input - Identification and selection via a systematized approach; 3) External validation of the selected measures. During these steps, 113 measures were first identified, then scored, sorted, and selected using evidence-building practices such as systematic literature reviews, peer-review, and consensus discussions. Eighteen measures were agreed and included in the core measures toolkit (child and caregiver questionnaires). In conclusion, pragmatism, implementation concerns, and the experts' experience were key in this process. This process may be considered as a reference to others involved in the challenge of selecting measures in their research.
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http://dx.doi.org/10.1080/02640414.2024.2422200 | DOI Listing |
J Surg Res
January 2025
Section of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address:
Introduction: Unplanned, delayed readmissions (>30 ds) following oncologic surgeries can increase mortality and care costs and affect hospital quality indices. However, there is a dearth of literature on rectal cancer surgery. Hence, we aimed to assess the risk factors associated with delayed readmissions following rectal cancer surgery to improve targeted interventions, patient outcomes, and quality indices.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Emergency Department, Baoding No. 1 Central Hospital, Lianchi District, Baoding City, China.
Background: The performance of quantitative pupillary light reflex (qPLR) and the neurological pupil index (NPi) was used to predict neurological outcomes in cardiac arrest (CA) patients.
Methods: Eligible studies on the ability of the qPLR and NPi to predict neurological outcomes in CA patients were searched from the PubMed and China National Knowledge Infrastructure databases until July 2023. The pooled odds ratio (OR) and its 95% confidence interval (95% CI), area under the curve, sensitivity analysis, and publication bias were analyzed via Stata 14.
Appl Physiol Nutr Metab
January 2025
Chronic Disease Innovation Centre, Winnipeg, Canada;
Risk factors contributing to cardiovascular diseases (CVD) can be addressed through behavior modification, including changes in diet and physical activity. In 2021, The Wellness Institute (WI), located at Seven Oaks General Hospital, created a virtual cardiometabolic risk reduction program in response to COVID-19 pandemic public health restrictions, encompassing virtual health coaching and lifestyle education. The objective was to evaluate the acceptability, adherence, efficacy and engagement of the WI online cardiometabolic and weight loss program.
View Article and Find Full Text PDFElife
December 2024
Laboratory of Immunoregulation and Mucosal Immunology, VIB Center for Inflammation Research, Ghent, Belgium.
Since the precursor frequency of naive T cells is extremely low, investigating the early steps of antigen-specific T cell activation is challenging. To overcome this detection problem, adoptive transfer of a cohort of T cells purified from T cell receptor (TCR) transgenic donors has been extensively used but is not readily available for emerging pathogens. Constructing TCR transgenic mice from T cell hybridomas is a labor-intensive and sometimes erratic process, since the best clones are selected based on antigen-induced CD69 upregulation or IL-2 production in vitro, and TCR chains are polymerase chain reaction (PCR)-cloned into expression vectors.
View Article and Find Full Text PDFPLoS One
January 2025
Institute of Management, Accounting and Finance, Leuphana University Lüneburg, Lüneburg, Lower Saxony, Germany.
Climate change has heightened the need to understand physical climate risks, such as the increasing frequency and severity of heat waves, for informed financial decision-making. This study investigates the financial implications of extreme heat waves on stock returns in Europe and the United States. Accordingly, the study combines meteorological and stock market data by integrating methodologies from both climate science and finance.
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