Background: Recent increases in alcohol-related morbidity and mortality have not occurred alongside notable increases in per capita alcohol consumption (PCC). This discrepancy may be partially due to U.S. PCC estimates not including annual estimates of the percentage of alcohol by volume (%ABV) of beer, wine, and spirits, but rather relying on time-invariant %ABV values.
Methods: Building on a prior study covering 1950 to 2002, estimates of the annual mean %ABV of beer, wine, and spirits sold in the United States were calculated using the %ABV of major brands and sales of each beverage type for each state and nationally for the period 2003 to 2016. We applied these estimates to the calculation of annual beverage-specific and total PCC, and made descriptive comparisons between our PCC estimates and those estimates using invariant %ABV values.
Results: For all beverage types, our mean %ABV estimates increased nationally and for all but 5 states. The PCC estimates from wine and spirits utilizing variable %ABV values were lower than estimates using invariant %ABV, and consumption from beer was higher. Our total PCC estimates were also lower than %ABV-invariant estimates; however, the percent change for %ABV-invariant estimates was 5.8% compared to a 7.9% change in our %ABV-variant estimates over the 2003 to 2016 period.
Conclusions: Given the application of PCC estimates to understand changes in alcohol-related morbidity and mortality, the inclusion of annual estimates of the %ABV of alcoholic beverages sold in the United States is necessary to ensure the precision of PCC measures such that the conclusions drawn from these applications are accurate and valid.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397099 | PMC |
http://dx.doi.org/10.1111/acer.13958 | DOI Listing |
Alzheimers Dement
December 2024
Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Background: The aim of this study was to explore the correlation between brain functional alterations and cerebrospinal fluid (CSF) pathological biomarkers in Alzheimer's disease (AD) patients.
Method: A total of 39 individuals were recruited, including 23 AD patients and 16 control subjects. All subjects underwent a battery of neuropsychological examinations, CSF measurement and multimodal magnetic resonance imaging scans.
Alzheimers Dement
December 2024
Frontotemporal Disorders Unit and Massachusetts Alzheimer's Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Background: Prior work has advanced our understanding of cortical atrophy in early-onset Alzheimer's disease (EOAD), but longitudinal data are sparse. Current longitudinal MRI studies point to progressive atrophy in cerebral cortex exhibiting a posterior-to-anterior gradient, but these studies include small samples with mostly amnestic EOAD. Here, we analyzed a large sample of sporadic EOAD patients from the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) to test the central hypothesis that areas in our recently described EOAD signature (Touroutoglou et al.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Purpose: We used knowledge discovery from radiomics of T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (T1C) for assessing relapse risk in patients with high-grade meningiomas (HGMs).
Methods: 279 features were extracted from each ROI including 9 histogram features, 220 Gy-level co-occurrence matrix features, 20 Gy-level run-length matrix features, 5 auto-regressive model features, 20 wavelets transform features and 5 absolute gradient statistics features. The datasets were randomly divided into two groups, the training set (~ 70%) and the test set (~ 30%).
BMJ Open
January 2025
Department of Nursing, College of Health science, Ambo University, Ambo, Ethiopia.
Objective: To assess the determinants of knowledge of preconception care (PCC) among healthcare providers in Ethiopia.
Design: Systematic review and meta-analysis.
Data Source: Comprehensive literature searches were conducted in PubMed, Scopus and Health Internetwork Access to Research Initiative (HINARI) published until 20 March 2024.
Comput Biol Med
December 2024
Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India; Bharti School of Telecommunication, Indian Institute of Technology Delhi, New Delhi 110016, India; Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India. Electronic address:
Background: Electroencephalogram (EEG) signals-based motor kinematics prediction (MKP) has been an active area of research to develop Brain-computer interface (BCI) systems such as exosuits, prostheses, and rehabilitation devices. However, EEG source imaging (ESI) based kinematics prediction is sparsely explored in the literature.
Method: In this study, pre-movement EEG features are utilized to predict three-dimensional (3D) hand kinematics for the grasp-and-lift motor task.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!