E-ISSN 0976-2833 | ISSN 0975-3583
 

Research Article 


Modeling adherence to coronary heart disease treatment in the Covid-19 era

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera.

Abstract
Background. Coronary artery is a disease that explains the vulnerability in which men are in reproductive
health with an impact on occupational health and public health, even when in Mexico the prevalence rate is
lower than the other member countries OECD, its impact on human development and local development
shows the Importance that the disease has on communities rather than in cities where policies of prevention
through screening and medical examination seemed to slow the trend but show a lack opportunities and
capabilities of health centers in rural areas.
Objective. Establish the reliability, validity and correlations between variables reported in the literature
Regarding its weighting in a public hospital.
Method. A non-experimental, cross-sectional and exploratory study with a nonrandom selection of
100patients from a public hospital in the State of Mexico was held. Scale Variables psychosocial determinants
of treatment adherence coronary artery built.
Results. From a structural model ⌠χ2 = 490.330 (28 gl) p = 0.000; GFI = 0.927; CFI = 0.970; RMSEA =
0,003⌡se Showed relationships in adjustment paths Determining Which Had an impact on knowledge
treatment adherence behavior (β = 0.50).
Conclusion. the boundaries of design, sampling and analysis of the study are noted and recommended to
include organizational and psychological variables supported in theories of Organizations and theories of
personality.

Key words: Coronary Artery, Covid-19, Beliefs, Public health, Knowledge, Treatment Adherence


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Cruz García-Lirios
Articles by Javier Carreón-Guillén
Articles by Pedro Sánchez-Vera
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. Modeling adherence to coronary heart disease treatment in the Covid-19 era. J Cardiovasc. Dis. Res.. 2021; 12(3): 70-76. doi:10.31838/jcdr.2021.12.03.10


Web Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. Modeling adherence to coronary heart disease treatment in the Covid-19 era. http://www.jcdronline.org/?mno=79932 [Access: May 23, 2021]. doi:10.31838/jcdr.2021.12.03.10


AMA (American Medical Association) Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. Modeling adherence to coronary heart disease treatment in the Covid-19 era. J Cardiovasc. Dis. Res.. 2021; 12(3): 70-76. doi:10.31838/jcdr.2021.12.03.10



Vancouver/ICMJE Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. Modeling adherence to coronary heart disease treatment in the Covid-19 era. J Cardiovasc. Dis. Res.. (2021), [cited May 23, 2021]; 12(3): 70-76. doi:10.31838/jcdr.2021.12.03.10



Harvard Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera (2021) Modeling adherence to coronary heart disease treatment in the Covid-19 era. J Cardiovasc. Dis. Res., 12 (3), 70-76. doi:10.31838/jcdr.2021.12.03.10



Turabian Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. 2021. Modeling adherence to coronary heart disease treatment in the Covid-19 era. Journal of Cardiovascular Disease Research, 12 (3), 70-76. doi:10.31838/jcdr.2021.12.03.10



Chicago Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. "Modeling adherence to coronary heart disease treatment in the Covid-19 era." Journal of Cardiovascular Disease Research 12 (2021), 70-76. doi:10.31838/jcdr.2021.12.03.10



MLA (The Modern Language Association) Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera. "Modeling adherence to coronary heart disease treatment in the Covid-19 era." Journal of Cardiovascular Disease Research 12.3 (2021), 70-76. Print. doi:10.31838/jcdr.2021.12.03.10



APA (American Psychological Association) Style

Cruz García-Lirios, Javier Carreón-Guillén,Pedro Sánchez-Vera (2021) Modeling adherence to coronary heart disease treatment in the Covid-19 era. Journal of Cardiovascular Disease Research, 12 (3), 70-76. doi:10.31838/jcdr.2021.12.03.10





Most Viewed Articles
  • Reduced nitrate level in individuals with hypertension and diabetes
    Shiekh Gazalla Ayub, Taha Ayub, Saquib Naveed Khan, Rubiya Dar, Khurshid Iqbal Andrabi
    J Cardiovasc. Dis. Res.. 2011; 2(3): 172-176
    » Abstract » doi: 10.4103/0975-3583.85264

  • Factor analysis of risk variables associated with metabolic syndrome in adult Asian Indians
    Mithun Das, Susil Pal, Arnab Ghosh
    J Cardiovasc. Dis. Res.. 2010; 1(2): 86-91
    » Abstract » doi: 10.4103/0975-3583.64442

  • Typical coronary artery aneurysm exactly within drug-eluting stent implantation region in a patient with rheumatoid arthritis
    Ying Zheng, Jing-yuan Mao
    J Cardiovasc. Dis. Res.. 2012; 3(4): 329-331
    » Abstract » doi: 10.4103/0975-3583.102725

  • Putative antioxidant property of sesame oil in an oxidative stress model of myocardial injury
    Mohamed T.S. Saleem , Madhusudhana C. Chetty , S. Kavimani
    J Cardiovasc. Dis. Res.. 2013; 4(3): 177-181
    » Abstract » doi: 10.1016/j.jcdr.2013.07.001

  • Medical and Social Characteristics and Quality of Life of Children with Urinary System Diseases (on the Example of Urinary System Infection)
    A.A. Maksimova, N.V. Savvina, N.M. Gogolev, A.I. Protopopova
    J Cardiovasc. Dis. Res.. 2020; 11(2): 194-201
    » Abstract » doi: 10.31838/jcdr.2020.11.02.33

  • Most Downloaded
  • Assessment of the Knowledge and Attitude of Male Students towards Smoking Based on Health Belief Model
    Rafat Rezapour-Nasrabad, Fatemeh Izadi, Atousa Karimi, Fateme Shariati Far, Khatereh Rostami, Amin Kiani, Afsaneh Ghasemi
    J Cardiovasc. Dis. Res.. 2020; 11(4): 116-121
    » Abstract » doi: 10.31838/jcdr.2020.11.04.20

  • Diabetic Retinopathy, The Automated of Detection of Retinal Fundus Images with Probabilistic Neural Networks (PNN)
    Elvina Amanda, Marischa Elveny, Rahmad Syah
    J Cardiovasc. Dis. Res.. 2020; 11(4): 302-306
    » Abstract » doi: 10.31838/jcdr.2020.11.04.54

  • Investigation of the Relationship between Social Support and Adherence to Treatment among Elderly Individuals with Type II Diabetes Mellitus
    Afsaneh Ghasemi, Rafat Rezapour-Nasrabad, Leila Nikrouz, Fatemeh Izadi, Atousa Karimi, Fateme Shariati Far, Zahra Khiali
    J Cardiovasc. Dis. Res.. 2020; 11(4): 122-129
    » Abstract » doi: 10.31838/jcdr.2020.11.04.21

  • Investigating the Lifestyle Related to Cancer Risk Factors among People of Gonbad City in 2019
    Nasibeh Zerangian, Namamali Azadi, Mahnaz Solhi, Morteza Mansourian
    J Cardiovasc. Dis. Res.. 2020; 11(4): 91-97
    » Abstract » doi: 10.31838/jcdr.2020.11.04.16

  • Cardio-Vascular Disease Classification Using Stacked Segmentation Model and Convolutional Neural Networks
    G. Charlyn Pushpa Latha, S. Sridhar, S. Prithi, T. Anitha
    J Cardiovasc. Dis. Res.. 2020; 11(4): 26-31
    » Abstract » doi: 10.31838/jcdr.2020.11.04.05

  • Most Cited Articles