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Long-Term Impact of Using Mobile Phones and Playing Computer Games on the Brain Structure and the Risk of Neurodegenerative Diseases: Large Population-Based Study.
J Med Internet Res
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Background: Despite the increasing popularity of electronic devices, the longitudinal effects of daily prolonged electronic device usage on brain health and the aging process remain unclear.
Objective: The aim of this study was to investigate the impact of the daily use of mobile phones/computers on the brain structure and the risk of neurodegenerative diseases.
Methods: We used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD).
User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study.
JMIR Cancer
January 2025
Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.
View Article and Find Full Text PDFPurpose: To determine the status of depression and its key influencing factors among Chinese older adults in different living situations.
Method: Data of 7,092 older adults were obtained from the China Health and Retirement Longitudinal Survey. This study analyzed key variables influencing depressive symptoms using random forest modeling and logistic regression.
Systematic Review and Meta-Analysis of 24-Hour Ambulatory Blood Pressure Monitoring in Pregnancy and Postpartum Periods.
J Perinat Neonatal Nurs
January 2025
Author Affiliations: School of Nursing, Center for Research Development and Scholarship, Vanderbilt University (Ms Sommer, Dr Muchira, Ms Chinni, and Dr Mogos); Department of Obstetrics and Gynecology, Vanderbilt University Medical Center (Dr Garrison); Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University, Nashville, Tennessee (Ms Walden); and Medical College of Georgia, Augusta University, Augusta, Georgia (Mr van der Eerden).
Purpose: Early detection and management of hypertensive disorders during pregnancy and postpartum are essential. This systematic review and meta analysis aimed: (1) to examine the state of 24-hour ambulatory blood pressure (ABP) use, and (2) in a subset of studies, evaluate 24-hour ABP parameters in the prediction and identification of Hypertensive Disorders of Pregnancy (HDP).
Methods: A comprehensive literature search was conducted in March of 2022 for English language studies published after 2000.
CT scan-derived pectoralis muscle parameters are closely associated with COVID-19 outcomes: A systematic review and meta-analysis.
PLoS One
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Background: The relationships between pectoralis muscle parameters and outcomes in patients with coronavirus disease 2019 (COVID-19) remain uncertain.
Methods: We systematically searched PubMed, Embase, Web of Science and the Cochrane Library from 1 January 2019 to 1 May 2024 to identify non-overlapping studies evaluating pectoralis muscle-associated index on chest CT scan with clinical outcome in COVID-19 patients. Random-effects and fixed-effects meta-analyses were performed, and heterogeneity between studies was quantified using the I2 statistic.
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