Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population
| Autor: | Sitalnesa A. Abdelhafeez, Neveen Sayed-Ahmed, Sawsan Babiker, Yousif Eltayeb, El Shazly Abdul Khalik, Omaima Nasir, M.Saif AlDien |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Logistic regression model
QH301-705.5 Population Logit SD Standard Deviations Context (language use) HbA1c Hemoglobin A1c CHD Coronary Heart Disease Wald test Logistic regression HDL High-density Lipoprotein Logit model CVDs Cardiovascular Diseases Risk of mortality SE Standard Error of the mean Medicine Biology (General) Risk factor education LR Likelihood-ratio health care economics and organizations BP Blood Pressure education.field_of_study HDFQ Heart Disease Facts Questionnaire business.industry Modified maximum likelihood method Confidence interval LDL Low-density Lipoprotein CHD Risk factors SBP Systolic Blood Pressure DBP Diastolic Blood Pressure Original Article SPSS Statistical Package for the Social Sciences General Agricultural and Biological Sciences business Demography |
| Zdroj: | Saudi Journal of Biological Sciences Saudi Journal of Biological Sciences, Vol 28, Iss 12, Pp 7027-7036 (2021) |
| ISSN: | 1319-562X |
| DOI: | 10.1016/j.sjbs.2021.07.089 |
| Popis: | Analysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using a logit model. Attempts made to reduce risk factors, increase public or professional awareness. Logit model used to evaluate the probability of a person develop CHD, considering any factors such as age, gender, high low-density lipoprotein (LDL) cholesterol, low high-density lipoprotein (HDL) cholesterol, high blood pressure, family history of CHD younger than 45, diabetes, smoking, being post-menopausal for women and being older than 45 for men. Logit concept of brief statistics described with slight modification to estimate the parameters testing for the significance of the coefficients, confidence interval fits the simple, multiple logit models. Besides, interpretation of the fitted logit regression model introduced. Variables showing best results within the scientific context, good explanation data assessed to fit an estimated logit model containing chosen variables, this present experiment used the statistical inference procedure; chi-square distribution, likelihood ratio, Score, or Wald test and goodness-of-fit. Health promotion started with increased public or professional awareness improved for early detection of CHD, to reduce the risk of mortality, aimed to be Saudi vision by 2030. |
| Databáze: | OpenAIRE |
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