Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/j.1442-200x.1997.tb03603.x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people: a cross-sectional study.
BMC Public Health
January 2025
Department of Cardiology, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, Hebei, 050031, P. R. China.
Background: Watching short videos is an integral part of the daily lives of young and middle-aged people. Nevertheless, the correlation between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people remains unclear. We aimed to explore the correlation between the screen time spent watching short videos at bedtime and essential hypertension among young and middle-aged people and construct a nomogram prediction model for assessing the probability of developing essential hypertension for these age groups.
View Article and Find Full Text PDFThe predictive value of triglyceride-glucose index combined with non-high-density lipoprotein cholesterol in coronary heart disease.
BMC Cardiovasc Disord
January 2025
Department of Cardiology, Yiwu Central Hospital, 699 Jiangdong Road, Yiwu, Zhejiang, 322000, China.
Background And Aims: To explore the predictive value of the triglyceride-glucose(TyG)index combined with non-high-density lipoprotein cholesterol (Non-HDL-C) in coronary atherosclerotic heart disease (CHD).
Methods And Results: We retrospectively collected patients who were suspected of CHD and underwent coronary angiography in Yiwu Central Hospital and collected medical history, other serum biochemical evaluation and echocardiography from the enrolled population, Non-HDL-C and TyG indices were calculated, and their correlation with Gensini score was analyzed. Logistic regression analysis was used to analyze the risk factors of coronary heart disease, and ROC curves were plotted to assess the predictive value of CHD in subjects with single or multiple indices.
The influencing factors of cognitive impairment in elderly individuals in Chengdu city: a cross-sectional study based on AD8.
BMC Geriatr
January 2025
Unit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Background: With the aging of society, cognitive impairment in elderly people is becoming increasingly common and has caused major public health problems. The screening of cognitive impairment in elderly people and its related influencing factors can aid in the development of relevant intervention and improvement strategies.
Methods: In this study, stratified random cluster sampling was used to conduct a cross-sectional survey of elderly individuals aged 65 years in Chengdu, Sichuan Province, through an electronic questionnaire from November 2022 to November 2023.
Simulated retail food environments: A literature review of systems science approaches to advance equity in access to healthy diets.
Obes Rev
January 2025
Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, NY, USA.
As researchers increasingly utilize systems science simulation modeling (SSSM), little is known about how and by whom SSSMs are being leveraged to address inequities in access to healthy diets. We evaluated the extent to which studies (n = 66) employing SSSM to examine retail food environments (RFEs): included three pillars of equity (social position, human capital, socioeconomic and political context) that shape RFEs and access to healthy diets; grounded model design and development in theory; engaged with diverse stakeholders and lived experiences related to RFEs; and translated model findings towards addressing inequities in RFEs. Most studies (n = 58) included some model characteristics related to social position (e.
View Article and Find Full Text PDFAutomated stenosis estimation of coronary angiographies using end-to-end learning.
Int J Cardiovasc Imaging
January 2025
Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consuming and costly. Applying deep learning might yield a faster and more accurate stenosis assessment.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!