Objectives: The study aimed to investigate the spatial variation of hypertension (HTN) and the associations between the risk of HTN and altitude, longitude, latitude in Chinese population.
Methods: The newest China Hypertension Survey (CHS) study, which used a nationally representative sample, was conducted between 2012 and 2015. A total of 451 755 participants aged at least 18 years from 262 county-level regions in 31 provinces were analyzed to explore the geographical variations of HTN prevalence at county-level. A total of 444 375 participants were included in two-level logistic regression model to examine the association between HTN risk and exposure to altitude, longitude, and latitude after adjusting for potential confounding variables at individual level.
Results: The findings of spatial analysis indicated that there were remarkably high and low HTN prevalence zones. High HTN prevalence zones extended from parts of the southeast to northern China and the northeast. The risk of HTN increased with increasing longitude, with adjusted odds ratios (aORs, 95% confidence interval [CI]) of 2.08 (1.04--4.18), 2.21 (1.15--4.22), 2.54 (1.31--4.93), 2.59 (1.32--5.08), and 2.81 (1.12--7.08) for longitudes of 90-100°E, 100-110°E, 110-120°E, 120-130°E, and at least 130°E, respectively, with a significant dose--response relationship that HTN risks increase as longitude rises from 90°E to ≥130°E(Ptrend <0.001), compared with the longitude group of less than 80°E, consistent with the conclusion that geographical variations of high HTN prevalence zones by spatial analysis.
Conclusion: The findings of remarkably high HTN prevalence zones modified previous understandings about the regional difference of HTN distribution, and provide an important basis for future efforts to prevent and control HTN in different regions of China.
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http://dx.doi.org/10.1097/HJH.0000000000002352 | DOI Listing |
Sci Rep
January 2025
Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
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Cardiovascular Disease, HCA Houston Healthcare, Kingwood, USA.
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January 2025
Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic.
Stroke is the second-leading cause of death worldwide, including in Syria, and the third-leading cause of death and disability combined. With approximately 90% of strokes worldwide linked to modifiable risk factors, identifying and quantifying these factors within a specific population is essential for effective prevention. This is the first study to investigate primary risk factors for stroke in Syria.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFJ Diabetes Res
December 2024
Translational Pharmaceutical Laboratory, Jining First People's Hospital, Shandong First Medical University, Jining, Shandong, China.
Coronary heart disease (CHD), hypertension (HTN), depression (Dep), and Type 2 diabetes mellitus (T2DM) are often comorbid, resulting in an exacerbated patient condition and worsened prognosis. A lack of systematic metabolomic studies on comorbidities of CHD remains. Therefore, comprehensive metabolomic-based evaluation of comorbidities of CHD is necessary.
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