blood pressure
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2023 ◽  
Vol 83 ◽  
S. Khwaja ◽  
S. I. Hussain ◽  
M. Zahid ◽  
Z. Aziz ◽  
A. Akram ◽  

Abstract This study determines the associations among serum lipid profiles, risk of cardiovascular disease, and persistent organic pollutants. Using Gas chromatography technique, the intensity of toxic pollutant residues in serum samples of Hypertensive patients were measured. Based on statistical analysis, the effects of different covariates namely pesticides, age, systolic blood pressure, diastolic blood pressure, and lipid profile duration was checked using the logistic regression model. Statistical computation was performed on SPSS 22.0. The P-values of F-Statistic for each lipid profile class are greater than 0.01 (1%), therefore we cannot reject the null hypothesis for all cases. The estimated coefficients, their standard errors, Wald Statistic, and odds ratio of the binary logistic regression model for different lipid profile parameters indicate if pesticides increase then the logit value of different lipid profile parameters changes from -0.46 to -0.246 except LDL which increases by 0.135. The study reports a significantly increased threat of cardiovascular disease with increased concentrations of toxic pollutants.

2022 ◽  
Vol 13 (2) ◽  
pp. 1-20
Luo He ◽  
Hongyan Liu ◽  
Yinghui Yang ◽  
Bei Wang

We develop a deep learning model based on Long Short-term Memory (LSTM) to predict blood pressure based on a unique data set collected from physical examination centers capturing comprehensive multi-year physical examination and lab results. In the Multi-attention Collaborative Deep Learning model (MAC-LSTM) we developed for this type of data, we incorporate three types of attention to generate more explainable and accurate results. In addition, we leverage information from similar users to enhance the predictive power of the model due to the challenges with short examination history. Our model significantly reduces predictive errors compared to several state-of-the-art baseline models. Experimental results not only demonstrate our model’s superiority but also provide us with new insights about factors influencing blood pressure. Our data is collected in a natural setting instead of a setting designed specifically to study blood pressure, and the physical examination items used to predict blood pressure are common items included in regular physical examinations for all the users. Therefore, our blood pressure prediction results can be easily used in an alert system for patients and doctors to plan prevention or intervention. The same approach can be used to predict other health-related indexes such as BMI.

2022 ◽  
Vol 77 ◽  
pp. 110633
Barak Cohen ◽  
Eva Rivas ◽  
Xuan Pu ◽  
Kamal Maheshwari ◽  
Jorge A. Araujo-Duran ◽  

2022 ◽  
Vol 28 (1) ◽  
pp. 27-30
Keyin Liu

ABSTRACT Introduction: Basketball can enhance the physical fitness of young people, promote the growth and development of their bodies, and improve health and athletic ability. Objective: To explore the characteristics of basketball players’ cardiac response to increasing load training. Methods: By analyzing 12 juvenile male amateur basketball training athletes, when performing incremental load exercises on the treadmill, using a 12-lead electrocardiograph to record the electrocardiogram, HR, and blood pressure responses for each level of exercise. Results: The mean heart rate of the basketball players before movement was 82.45± 11.44 bpm, slightly higher than the heart rate at rest. Depending on the exercise load, the blood pressure should increase by 5 to 12 mmHg. Under different load training conditions, each level of blood pressure in the Bruce treadmill test procedure should increase 12.5 ~ 44mmHg. The basketball player’s systolic pressure increased by 2.25 ~ 15.7mmHg, diastolic pressure increased by 0.43 to 11.37 mmHg. Conclusions: In basketball players, the psychological stress is less than that of the average person performing the same exercise. The strong ability to adapt to exercise under incremental load training, the contractility of the ventricular muscles and the development of the heart are good. Level of evidence II; Therapeutic studies - investigation of treatment results.

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