Abstract 3716: Household Car and Television Ownership are associated with an increased risk of Myocardial Infarction: Results from the INTERHEART Study
Introduction: The association between duration of television viewing as well as vehicle miles traveled and obesity in adults has been confirmed in various studies. We assessed the relationship between household ownership of goods i.e. car, bicycle, motorbike, computer, TV, and radio, as a substitute for physical activity measure with the risk of myocardial infarction (MI) globally.
Design: INTERHEART is a standardized case-control study of acute MI involving 27,098 participants in 52 countries. We restricted our analysis to 10,043 cases of first MI and 14,217 controls that did not report previous angina or physical disability. Ownership of household goods was assessed as a categorical question. Logistic regression analysis was conducted with MI status as the dependent and ownership data being the independent variable. Multivariable adjustments were made for confounders including age, BMI, sex, region, smoking, alcohol intake, household income, education, hypertension, diabetes, psychosocial factors, fruit and vegetable intake. In a second model overall physical activity was added as covariate.
Results: Owning a car (OR 1.30, 1.19 –1.42) and TV (OR 1.17, CI 1.00 –1.36) were associated with the risk of MI, while we observed no association between ownership of bicycle (OR 1.02, CI 0.95–1.11), motorbike (OR 0.97, CI 0.87–1.07), computer (OR 1.00, CI 0.91–1.10), or radio (OR 0.96, CI 0.87–1.08) and the risk of MI. The odds of having an MI increased in households that owned both a car and a TV (OR 1.47, CI 1.18 –1.44). These associations were similar when the model was also adjusted for overall physical activity in addition to the above risk factors (OR 1.41, CI 1.07–1.87), indicating that owning a television and car is independently associated with the risk of MI.
Conclusion: Car and television ownership increased the risk of MI independent of the effect of physical activity and household income. This indicates that factors promoting sedentariness have an independent effect after taking reported physical activity into account.