The Associations between Meat Group Consumption and Acute Myocardial Infarction Risks in an Iranian Population: a Case-Control Study.
Zeinab PoursafarFarahnaz JoukarFarideh HasavariZahra AtrkarroushanPublished in: Clinical nutrition research (2019)
Acute myocardial infraction (AMI) is a highly frequent cause of mortality and disability around the world. The aim of the present study was to evaluate the associations between meat group intake levels and AMI risks in an adult Iranian population. This case-control study was conducted on 200 first AMI cases and 200 healthy individuals matched by age, sex, and body mass index. A Food Frequency Questionnaire validated for Iranian populations was used to assess usual dietary intake levels over the previous year. Data was extracted regarding the meat group-including meat (red and processed), fish, poultry, eggs, nuts, and legumes. The associations between meat group items and AMI were calculated by multivariable logistic regression. Red meat consumption was significantly positively associated with increased risk of AMI. After adjustment for potential confounders, a positive association was found between higher frequency of processed and red meat intake, and increased risk of AMI (processed meat consumption: odds ratio [OR], 1.71; 95% confidence interval [CI], 1.31-2.23 and red meat consumption: OR, 2.51; 95% CI, 1.84-5.11). In addition, the results indicated an inverse association between the frequency of nuts consumption and AMI (OR, 0.52; 95% CI, 0.31-0.92). There were no associations seen between poultry, fish, eggs and beans intake levels, and the odds of AMI. The current study suggested a direct association between the frequency of processed/red meat consumption and increased AMI risks. In addition, an inverse relation was observed between frequency of nuts consumption and the risks of AMI.
Keyphrases
- acute myocardial infarction
- percutaneous coronary intervention
- left ventricular
- human health
- weight gain
- physical activity
- type diabetes
- risk assessment
- heart failure
- atrial fibrillation
- intensive care unit
- cardiovascular disease
- electronic health record
- acute coronary syndrome
- artificial intelligence
- big data
- antimicrobial resistance
- hepatitis b virus
- acute respiratory distress syndrome
- respiratory failure