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Acute triggers of myocardial infarction: A case-crossover study()
BACKGROUND: Acute myocardial infarction (AMI) is one of the most preventable non-communicable diseases in human. Identifying triggers of myocardial infarction (MI) and prevention ways of exposure-induced complications can reduce morbidity and mortality in people at risk. AIM: The aim of this study w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Egyptian Society of Cardiology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883494/ https://www.ncbi.nlm.nih.gov/pubmed/29622981 http://dx.doi.org/10.1016/j.ehj.2017.03.003 |
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author | Ghiasmand, Maryam Moghadamnia, Mohammad Taghi Pourshaikhian, Majid Kazemnejad Lili, Ehsan |
author_facet | Ghiasmand, Maryam Moghadamnia, Mohammad Taghi Pourshaikhian, Majid Kazemnejad Lili, Ehsan |
author_sort | Ghiasmand, Maryam |
collection | PubMed |
description | BACKGROUND: Acute myocardial infarction (AMI) is one of the most preventable non-communicable diseases in human. Identifying triggers of myocardial infarction (MI) and prevention ways of exposure-induced complications can reduce morbidity and mortality in people at risk. AIM: The aim of this study was to identify the emotional, environmental, physical and chemical dimensions of acute triggers in patients with AMI. METHODS: This case-crossover study was conducted on 269 patients with AMI, hospitalized at two remedial centers in Rasht in 2015. The study samples were selected by convenient sampling method. Data were collected using researcher-made questionnaire through interviews. Hazard and control periods for each trigger and its effects on the development of MI were studied. The collected data were analyzed using descriptive and analytical statistical methods, Cochran test, and generalized estimating equation (GEE) model with logistics function default in SPSS version 21, and p < 0.05 was considered statistically significant. RESULTS: The results showed that quarrel (P = 0.008, OR = 2.01) and hearing the sudden news (P = 0.001, OR = 2.19) were the most common emotional triggers. Respiratory infections (P = 0.0001, OR = 6.78) and exposure to hot or cold weather (P = 0.005, OR = 2.19) were the most frequent environmental triggers. Doing heavy activities (P = 0.005, OR = 1.66) and sexual activities (P = 0.003, OR = 2.36) were among the most common physical triggers. High-fat foods consumption and overeating (P = 0.0001, OR = 3.79) were the most frequent chemical triggers of AMI. CONCLUSION: It seems that given the importance of the triggers in the incidence of AMI, planning is necessary to train vulnerable individuals to reduce exposure to triggers. |
format | Online Article Text |
id | pubmed-5883494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Egyptian Society of Cardiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-58834942018-04-05 Acute triggers of myocardial infarction: A case-crossover study() Ghiasmand, Maryam Moghadamnia, Mohammad Taghi Pourshaikhian, Majid Kazemnejad Lili, Ehsan Egypt Heart J Ischemic Heart Disease BACKGROUND: Acute myocardial infarction (AMI) is one of the most preventable non-communicable diseases in human. Identifying triggers of myocardial infarction (MI) and prevention ways of exposure-induced complications can reduce morbidity and mortality in people at risk. AIM: The aim of this study was to identify the emotional, environmental, physical and chemical dimensions of acute triggers in patients with AMI. METHODS: This case-crossover study was conducted on 269 patients with AMI, hospitalized at two remedial centers in Rasht in 2015. The study samples were selected by convenient sampling method. Data were collected using researcher-made questionnaire through interviews. Hazard and control periods for each trigger and its effects on the development of MI were studied. The collected data were analyzed using descriptive and analytical statistical methods, Cochran test, and generalized estimating equation (GEE) model with logistics function default in SPSS version 21, and p < 0.05 was considered statistically significant. RESULTS: The results showed that quarrel (P = 0.008, OR = 2.01) and hearing the sudden news (P = 0.001, OR = 2.19) were the most common emotional triggers. Respiratory infections (P = 0.0001, OR = 6.78) and exposure to hot or cold weather (P = 0.005, OR = 2.19) were the most frequent environmental triggers. Doing heavy activities (P = 0.005, OR = 1.66) and sexual activities (P = 0.003, OR = 2.36) were among the most common physical triggers. High-fat foods consumption and overeating (P = 0.0001, OR = 3.79) were the most frequent chemical triggers of AMI. CONCLUSION: It seems that given the importance of the triggers in the incidence of AMI, planning is necessary to train vulnerable individuals to reduce exposure to triggers. Egyptian Society of Cardiology 2017-12 2017-04-06 /pmc/articles/PMC5883494/ /pubmed/29622981 http://dx.doi.org/10.1016/j.ehj.2017.03.003 Text en © 2017 Egyptian Society of Cardiology. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Ischemic Heart Disease Ghiasmand, Maryam Moghadamnia, Mohammad Taghi Pourshaikhian, Majid Kazemnejad Lili, Ehsan Acute triggers of myocardial infarction: A case-crossover study() |
title | Acute triggers of myocardial infarction: A case-crossover study() |
title_full | Acute triggers of myocardial infarction: A case-crossover study() |
title_fullStr | Acute triggers of myocardial infarction: A case-crossover study() |
title_full_unstemmed | Acute triggers of myocardial infarction: A case-crossover study() |
title_short | Acute triggers of myocardial infarction: A case-crossover study() |
title_sort | acute triggers of myocardial infarction: a case-crossover study() |
topic | Ischemic Heart Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883494/ https://www.ncbi.nlm.nih.gov/pubmed/29622981 http://dx.doi.org/10.1016/j.ehj.2017.03.003 |
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