TY - JOUR
T1 - Gender differences in prevalence of myocardial infarction in rural West Texans
AU - Khan, Hafiz
AU - Rasmussen, Drew
AU - Gittner, Lisaann
AU - Rafiq, Aamrin
AU - Blakely, Summre
AU - Shabaneh, Obadeh
AU - Reddy, P. Hemachandra
N1 - Funding Information:
The authors would like to thank the Texas Tech University Health Sciences Center for approving the Internal Review Board (IRB) application and allowing access to the database on rural West Texas counties, as well as providing relevant information which significantly improved the statistical data analysis and presentation of the findings. The authors acknowledge with thanks the financial support of the National Institutes of Health (NIH) grants AG047812, AG042178, and NS105473. The authors also thank the NSF-5 I/UCRC financial support in the form of grant #136214. Authors would like to thank Dr. Mario Pitalua and Mr. Danny Boren, who helped to adjust the tables and figures.
Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2020
Y1 - 2020
N2 - Background: Heart disease is the leading cause of death in the United States. Incidence rates of myocardial infarction (MI) in rural West Texas signify a lack of effective, risk-specific prevention programs. The purpose of this study was to identify gender-specific risk factors for MI in rural West Texans. Subjects and methods: Hospital patient data for those with and without a history of MI were obtained from the Project FRONTIER database for rural West Texas counties. We used statistical software, such as SPSS, R, and WinBUGS to detect and understand the nature of MI risk factors. Statistical methods including t-tests, Chi-squared, logistic regression, and a Bayesian approach were utilized to analyze data. Results: MI significant risk factors obtained for females were systolic blood pressure (p = 0.002), diastolic blood pressure (p = 0.004), pulse (p = 0.015), and smoking (p = 0.002). For males, these were glucose (p = 0.022), age (p = 0.050), body fat (p = 0.034), and smoking (p = 0.017). The mean risk parameter followed a normal distribution, while the precision parameter depicted skew for both sexes. Conclusions: Gender-specific differences in MI risk factors exist, and incorporating such variables can guide relevant policymaking to reduce MI incidence in rural West Texans.
AB - Background: Heart disease is the leading cause of death in the United States. Incidence rates of myocardial infarction (MI) in rural West Texas signify a lack of effective, risk-specific prevention programs. The purpose of this study was to identify gender-specific risk factors for MI in rural West Texans. Subjects and methods: Hospital patient data for those with and without a history of MI were obtained from the Project FRONTIER database for rural West Texas counties. We used statistical software, such as SPSS, R, and WinBUGS to detect and understand the nature of MI risk factors. Statistical methods including t-tests, Chi-squared, logistic regression, and a Bayesian approach were utilized to analyze data. Results: MI significant risk factors obtained for females were systolic blood pressure (p = 0.002), diastolic blood pressure (p = 0.004), pulse (p = 0.015), and smoking (p = 0.002). For males, these were glucose (p = 0.022), age (p = 0.050), body fat (p = 0.034), and smoking (p = 0.017). The mean risk parameter followed a normal distribution, while the precision parameter depicted skew for both sexes. Conclusions: Gender-specific differences in MI risk factors exist, and incorporating such variables can guide relevant policymaking to reduce MI incidence in rural West Texans.
KW - FRONTIER database
KW - Gender differences
KW - Myocardial infarction
KW - Rural West Texas
KW - Statistical methods
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U2 - 10.1007/s10389-020-01262-7
DO - 10.1007/s10389-020-01262-7
M3 - Article
AN - SCOPUS:85086026399
SN - 0943-1853
JO - Zeitschrift fur Gesundheitswissenschaften
JF - Zeitschrift fur Gesundheitswissenschaften
ER -