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Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways.
Hum Brain Mapp
January 2025
Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
Analysis of resting state fMRI (rs-fMRI) typically excludes images substantially degraded by subject motion. However, data quality, including degree of motion, relates to a broad set of participant characteristics, particularly in pediatric neuroimaging. Consequently, when planning quality control (QC) procedures researchers must balance data quality concerns against the possibility of biasing results by eliminating data.
View Article and Find Full Text PDFIs the Rate of Early mobilization in Hip fracture patients using Alfentanil Better than standard opioid analgesia (REHAB)? A protocol for a prospective cohort study.
Bone Jt Open
January 2025
Division of Trauma & Orthopaedic Surgery, Royal Infirmary of Edinburgh, Edinburgh, UK.
Aims: The primary aim of this study is to compare mobility status of patients receiving oral oxycodone with those receiving subcutaneous alfentanil as analgesic methods prior to mobilization to help physiotherapy compliance after hip fracture surgery. The secondary aims are to assess postoperative pain, health-related quality of life, in-hospital length of stay, total use of analgesia over postoperative days 1 and 2 (POD 1 and POD 2), complication rates within 30 days, and 30-day mortality rates.
Methods: A single-centre, prospective cohort study of 64 patients will be undertaken.
Assessment of public literacy in TB prevention and control in the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016-2020) in China.
BMC Health Serv Res
January 2025
School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Background: China has always been a country with a high burden of tuberculosis. In order to end TB, the Chinese government launched three plans for TB prevention and control. The Chinese government implemented the National 13th Five-Year plan for Tuberculosis Prevention and Control (2016-2020) to promote TB prevention and control from policy, technology, health promotion and other aspects from 2016 to 2020.
View Article and Find Full Text PDFThe relationship between health-related quality of life and academic success in nursing students: the mediating role of academic burnout and academic motivation.
BMC Med Educ
January 2025
Department of Community Health Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: The identification of the key factors that affect academic success in nursing students, including health-related quality of life, academic burnout, and academic motivation, has been of the utmost importance to date. In this context, the present study sought to examine the relationship between health-related quality of life and academic success, with academic burnout and academic motivation mediating that relationship.
Methods: This analytical cross-sectional study included 262 eligible nursing students selected through convenience sampling from the School of Nursing and Midwifery at Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Biomarkers.
Alzheimers Dement
December 2024
Neuroimage Analytics Laboratory and Glenn Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, TX, USA.
Background: The location of proposed brain MRI markers of small vessel disease (SVD) might reflect their pathogenesis and may translate into differential associations with cognition. We derived regional MRI markers of SVD and studied: (i) associations with cognitive performance, (ii) patterns most likely to reflect underlying SVD, (iii) mediating effects on the relationships of age and cardiovascular disease (CVD) risk with cognition.
Method: In 891 participants from The Multi-Ethnic Study of Atherosclerosis, we segmented enlarged perivascular spaces (ePVS), white matter hyperintensities (WMH) and microbleeds (MBs) using deep learning-based algorithms, and calculated white matter (WM) microstructural integrity measures of fractional anisotropy (FA), trace (TR) and free water (FW) using automated DTI-processing pipelines.
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