دورية أكاديمية

Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population.

التفاصيل البيبلوغرافية
العنوان: Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population.
المؤلفون: Babiker S; Department of Mathematics, Turabah University College, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.; Department of Mathematics & Physics, Faculty of Education, Gezira University, P.O. Box 20, Madani, Sudan., Eltayeb Y; King Abdulaziz Cardiac Center, King Abdulaziz Medical City - Riyadh, P.O. Box 22490, Riyadh 11426, Saudi Arabia., Sayed-Ahmed N; Department of Mathematics & Statistics, Faculty of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia., Abdelhafeez S; Directorate of Academic Affairs and Training, King Abdulaziz Specialist Hospital, P.O. Box. 10127, Taif, Saudi Arabia., Shazly Abdul Khalik E; Department of Cardiology, King Abdulaziz Specialist Hospital, P.O. Box. 10127, Taif, Saudi Arabia.; Department of Cardiology Al Azhar University, Cairo, Egypt., AlDien MS; Department of Mathematics, Turabah University College, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia., Nasir O; Department of Biology, Turabah University College, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
المصدر: Saudi journal of biological sciences [Saudi J Biol Sci] 2021 Dec; Vol. 28 (12), pp. 7027-7036. Date of Electronic Publication: 2021 Aug 04.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Saudi Biological Society Country of Publication: Saudi Arabia NLM ID: 101543796 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1319-562X (Print) Linking ISSN: 22137106 NLM ISO Abbreviation: Saudi J Biol Sci Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Riyadh : Saudi Biological Society : King Saud University, [2009]-
مستخلص: 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.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2021 The Authors. Published by Elsevier B.V. on behalf of King Saud University.)
References: Circulation. 2009 Jun 23;119(24):3078-84. (PMID: 19506114)
Obes Res Clin Pract. 2010 Jul;4(3):e171-e181. (PMID: 21116472)
JAMA Netw Open. 2021 Feb 1;4(2):e2037554. (PMID: 33595663)
Curr Addict Rep. 2014 Mar;1(1):53-60. (PMID: 27213132)
BMC Cardiovasc Disord. 2019 Dec 21;19(1):309. (PMID: 31864310)
Semin Vasc Med. 2002 Aug;2(3):315-23. (PMID: 16222621)
J Cardiol. 2018 Feb;71(2):149-154. (PMID: 28882397)
Diabetes Care. 2014 Feb;37(2):428-35. (PMID: 24130365)
Curr Probl Cardiol. 2010 Feb;35(2):72-115. (PMID: 20109979)
Glob Heart. 2013 Mar;8(1):49-57. (PMID: 25690263)
Circulation. 1998 May 12;97(18):1837-47. (PMID: 9603539)
Circulation. 2002 Dec 17;106(25):3143-421. (PMID: 12485966)
Neth Heart J. 2010 Dec;18(12):598-602. (PMID: 21301622)
Lancet. 1997 May 3;349(9061):1269-76. (PMID: 9142060)
JAMA Cardiol. 2016 Nov 1;1(8):864-871. (PMID: 27604060)
Patient Educ Couns. 2005 Jul;58(1):82-7. (PMID: 15950840)
Pharmacol Rev. 2008 Jun;60(2):210-41. (PMID: 18579753)
Circulation. 2012 Jun 26;125(25):3092-8. (PMID: 22623718)
Circulation. 1999 Mar 9;99(9):1165-72. (PMID: 10069784)
Eur Heart J. 2007 Apr;28(7):850-6. (PMID: 17403720)
World J Diabetes. 2014 Aug 15;5(4):444-70. (PMID: 25126392)
J Egypt Public Health Assoc. 2007;82(1-2):21-42. (PMID: 18217323)
فهرسة مساهمة: Keywords: BP, Blood Pressure; CHD; CHD, Coronary Heart Disease; CVDs, Cardiovascular Diseases; DBP, Diastolic Blood Pressure; HDFQ, Heart Disease Facts Questionnaire; HDL, High-density Lipoprotein; HbA1c, Hemoglobin A1c; LDL, Low-density Lipoprotein; LR, Likelihood-ratio; Logistic regression model; Logit model; Modified maximum likelihood method; Risk factors; SBP, Systolic Blood Pressure; SD, Standard Deviations; SE, Standard Error of the mean; SPSS, Statistical Package for the Social Sciences
تواريخ الأحداث: Date Created: 20211206 Latest Revision: 20211207
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC8626330
DOI: 10.1016/j.sjbs.2021.07.089
PMID: 34867004
قاعدة البيانات: MEDLINE
الوصف
تدمد:1319-562X
DOI:10.1016/j.sjbs.2021.07.089