scholarly journals Logit Model of High Blood Pressure

Author(s):  
Evelyn Nkiruka Okeke ◽  
Joseph Uchenna Okeke

This paper is focused on the logit model of high blood pressure. We discussed logit model in detail and applied it to a real life data of high blood and normal blood pressure of 126 individuals. The analysis generated a model for finding the probability of having high blood pressure and revealed that heartbeat rate followed by weight and then age are factors affecting high blood pressure with a concordant percentage of 95.4.

1996 ◽  
Vol 46 (3-4) ◽  
pp. 253-262
Author(s):  
Srabashi Basu ◽  
Ayanendranath Basu

This note focuses on the following scenario common in real life : Data are collected on K subjects for a length of time on exposure to a binary risk factor and a binary disease outcome. The problem considered is the estimation of population attributable risk independent of time, which quantifies the marginal impact of the risk factor on the disease. At each of T time points, the population attributable risk is formulated as a function of risk prevalence rate and the logit model parameters relating the risk and the disease. Quasilikelihood methods for longitudinal data are applied to estimate these model parameters. Finally, applying the quasi­likelihood for a second time, T estimates of the population attributable risk are combined. The methodology is illustrated with a real life data set.


2019 ◽  
Vol 29 (2) ◽  
pp. 95-102
Author(s):  
Anna Chudek ◽  
Aleksander Jerzy Owczarek ◽  
Joanna Ficek ◽  
Agnieszka Almgren-Rachtan ◽  
Jerzy Chudek

2021 ◽  
Vol 15 (5) ◽  
pp. 1474-1478
Author(s):  
B. Akhtar ◽  
H. Ishaq ◽  
M. T. Raza ◽  
M. Ismail ◽  
I. E. Soomro ◽  
...  

Aim: To compare the incidence of in-hospital complications between diabetic normotensive and hypertensive diabetic patients presenting with acute myocardial infarction (MI) Methodology: This observational cohort study was conducted at National Institute of Cardiovascular Diseases Karachi from May 2019 to April 2020. We examined 220 diabetics with acute MI were included. 50% of the patients had high blood pressure and the rest had normal blood pressure. After enrollment in the study, selectees were observed for acute myocardial infarction complications in the hospital. Results: Most of the baseline characteristics were similar in both groups of patients. However, the hypertensive patients in the diabetes group had diabetes, high heart rate, and high blood pressure at reporting. The complication rates did not differ statistically between the two groups. The rates of complications occurred between diabetes and normotensive hypertension; Atrial fibrillation (AF) 15.5% vs 12.7% p = 0.194, respectively, ventricular tachycardia (LH) 14.5% vs 13.6%, AV block type-1 8.2% vs 7.3% p = 0.296, type2 AV block 2.7% vs 1.8% p = 0.352, complete heart block 11.8% vs 10% p = 0.313, acute congestive heart failure (CHF) 13.6% VS% 9.1 p = 0.137, left ventricular failure (LVF)19.1% vs 16.4% p = 0.259, cardiogenic shock (CS) 14.5% vs 10.9% p = 0.184, recurrent IM (Re-MI) 14.5% 10.9% p = 0.184 and mortality 14.5% vs 12.7 and% p = 0.326, respectively. Conclusion:It is concluded that diabetic patients with hypertensionhave not elevated risk of complications in the hospital after acute myocardial infarction. Key words: diabetes, hypertension, hospital complications, acute myocardial infarction


2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.


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