OBJECTIVE: The relationships between objectively measured abdominal and gynoid adipose mass with the prospective risk of myocardial infarction (MI) has been scarcely investigated. We aimed to investigate the associations between fat distribution and the risk of MI. SUBJECTS: Total and regional fat mass was measured using dual-energy X-ray absorptiometry (DEXA) in 2336 women and 922 men, of whom 104 subsequently experienced an MI during a mean follow-up time of 7.8 years. RESULTS: In women, the strongest independent predictor of MI was the ratio of abdominal to gynoid adipose mass (hazard ratio (HR)=2.44, 95% confidence interval (CI) 1.79-3.32 per s.d. increase in adipose mass), after adjustment for age and smoking. This ratio also showed a strong association with hypertension, impaired glucose tolerance and hypertriglyceridemia (P<0.01 for all). In contrast, the ratio of gynoid to total adipose mass was associated with a reduced risk of MI (HR= 0.57, 95% CI 0.43-0.77), and reduced risk of hypertension, impaired glucose tolerance and hypertriglyceridemia (P<0.001 for all). In men, gynoid fat mass was associated with a decreased risk of MI (HR=0.69, 95% CI 0.48-0.98), and abdominal fat mass was associated with hypertriglyceridemia (P for trend 0.02). CONCLUSION: In summary, fat distribution was a strong predictor of the risk of MI in women, but not in men. These different results may be explained by the associations found between fat distribution and hypertension, impaired glucose tolerance and hypertriglyceridemia.
OBJECTIVE: The relationships between objectively measured abdominal and gynoid adipose mass with the prospective risk of myocardial infarction (MI) has been scarcely investigated. We aimed to investigate the associations between fat distribution and the risk of MI. SUBJECTS: Total and regional fat mass was measured using dual-energy X-ray absorptiometry (DEXA) in 2336 women and 922 men, of whom 104 subsequently experienced an MI during a mean follow-up time of 7.8 years. RESULTS: In women, the strongest independent predictor of MI was the ratio of abdominal to gynoid adipose mass (hazard ratio (HR)=2.44, 95% confidence interval (CI) 1.79-3.32 per s.d. increase in adipose mass), after adjustment for age and smoking. This ratio also showed a strong association with hypertension, impaired glucose tolerance and hypertriglyceridemia (P<0.01 for all). In contrast, the ratio of gynoid to total adipose mass was associated with a reduced risk of MI (HR= 0.57, 95% CI 0.43-0.77), and reduced risk of hypertension, impaired glucose tolerance and hypertriglyceridemia (P<0.001 for all). In men, gynoid fat mass was associated with a decreased risk of MI (HR=0.69, 95% CI 0.48-0.98), and abdominal fat mass was associated with hypertriglyceridemia (P for trend 0.02). CONCLUSION: In summary, fat distribution was a strong predictor of the risk of MI in women, but not in men. These different results may be explained by the associations found between fat distribution and hypertension, impaired glucose tolerance and hypertriglyceridemia.
Authors: Guo-Chong Chen; Rhonda Arthur; Neil M Iyengar; Victor Kamensky; Xiaonan Xue; Sylvia Wassertheil-Smoller; Matthew A Allison; Aladdin H Shadyab; Robert A Wild; Yangbo Sun; Hailey R Banack; Jin Choul Chai; Jean Wactawski-Wende; JoAnn E Manson; Marcia L Stefanick; Andrew J Dannenberg; Thomas E Rohan; Qibin Qi Journal: Eur Heart J Date: 2019-09-07 Impact factor: 29.983
Authors: David Bann; Rachel Cooper; Andrew K Wills; Judith Adams; Diana Kuh Journal: J Epidemiol Community Health Date: 2014-02-24 Impact factor: 3.710
Authors: Susanne Rost; Dennis Freuer; Annette Peters; Barbara Thorand; Rolf Holle; Jakob Linseisen; Christa Meisinger Journal: BMC Public Health Date: 2018-04-02 Impact factor: 3.295
Authors: S K Vasan; C Osmond; D Canoy; C Christodoulides; M J Neville; C Di Gravio; C H D Fall; F Karpe Journal: Int J Obes (Lond) Date: 2017-11-20 Impact factor: 5.095