(2015) A case-control study on red meat consumption and risk of stroke among a group of Iranian adults. Public Health Nutrition. pp. 1084-1090. ISSN 1368-9800
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Abstract
Objective: We aimed to examine the association between red meat consumption and stroke in a group of Iranian adults. Design: A hospital-based case-control study. Setting: The study included stroke patients and hospital-based controls. Usual dietary intakes of participants were assessed by means of a validated 168-item semi-quantitative FFQ. Total red meat consumption was calculated by summing up the consumption of red, processed and visceral meats. Subjects: One hundred and ninety-five cases were stroke patients hospitalized in the neurology ward and 195 controls were recruited from patients hospitalized in other wards with no history of cerebrovascular diseases or neurological disorders. Results: Participants with stroke were older, more likely to be male and less likely to be obese. Individuals in the highest tertile of red meat intake were 119 more likely to have stroke (OR= 2.19; 95 CI 1,33, 3.60) compared with those in the lowest tertile. After controlling for age, sex and total energy intake, the association between red meat consumption and stroke was strengthened (OR = 2.72; 95 CI 1.53, 4.83). This association remained significant even after further controlling for physical activity and smoking as well as dietary intakes. Additional adjustments for BMI, diabetes, hypertension and hyperlipidaemia did not influence the association significantly (OR= 2.51; 95 CI 1.19, 5.09). Conclusions: Consumption of red meat was associated with greater odds of having stroke in a group of Iranian adults.
Item Type: | Article |
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Keywords: | red meat stroke diet iran cardiovascular-disease prospective cohort women metaanalysis iron men inflammation prevalence mortality patterns |
Page Range: | pp. 1084-1090 |
Journal or Publication Title: | Public Health Nutrition |
Journal Index: | ISI |
Volume: | 18 |
Number: | 6 |
Identification Number: | https://doi.org/10.1017/S1368980014001165 |
ISSN: | 1368-9800 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.mui.ac.ir/id/eprint/4992 |
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