Development of a Predictive Model of Cardiovascular Risk in a Male Population from the Peruvian Amazon

被引：1
作者：
Alcaide-Leyva, Jose M. [1 ]
Romero-Saldana, Manuel [1 ,2 ]
Garcia-Rodriguez, Maria [2 ,3 ]
Molina-Luque, Rafael [1 ,2 ]
Jimenez-Merida, Rocio [1 ]
Molina-Recio, Guillermo [1 ,2 ]
机构：
[1] Univ Cordoba, Fac Med & Enfermeria, Dept Enfermeria Farmacol & Fisioterapia, Cordoba 14014, Spain
[2] Inst Maimonides Invest Biomed Cordoba IMIB, Grp Asociado Invest GA16 Estilos Vida Tecnol & Sal, Cordoba 14014, Spain
[3] Univ Europea Madrid, Fac Ciencias Biomed & Salud, Dept Enfermeria & Nutr, Calle Tajo S-N 28670, Villaviciosa De Odon 28670, Madrid, Spain
来源：
JOURNAL OF CLINICAL MEDICINE | 2023年 / 12卷 / 09期
关键词：
predictive model; cardiovascular risk; non-communicable disease; obesity and Peruvian Amazon; DOUBLE BURDEN; ASSOCIATION; VALIDATION; COUNTRIES; PATTERNS; OBESITY; PROFILE; ADULTS;
D O I：
10.3390/jcm12093199
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Background: The coexistence of malnutrition due to over- and under-nutrition in the Peruvian Amazon increases chronic diseases and cardiovascular risk. Methods: A cross-sectional study of a male population where anthropometric, clinical, and demographic variables were obtained to create a binary logistic regression predictive model of cardiovascular risk. Results: We compared two methods with good predictive results, finally choosing Model 4 (r(2) = 0.57, sensitivity 73.68%, specificity 95.35%, Youden index 0.69, and validity index 94.21), with non-invasive variables such as blood pressure (p < 0.001), hip circumference (p < 0.001), and FINDRISC test result (p < 0.05); Conclusions: We developed a cheap, fast, and non-invasive tool to determine cardiovascular risk in the population of this endemic area.
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页数：14
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