Few studies have examined the multifaceted aspects of fast food consumption and dietary patterns for their effects on obesity. We examined the independent associations of obesity with fast food consumption and dietary pattern in Korean adults using a nationally representative cross-sectional survey. A total of 19,017 adults aged 19–64 years participated in the Korea National Health and Nutrition Examination Survey (KNHANES) 2010–2014. Fast food items were removed from diet and then dietary patterns were generated. Multivariate logistic regression analysis was used to examine the odds of overweight/obesity and central obesity according to fast food consumption and dietary patterns. Fast food consumers were about 10% of Korean adults. Both the “White rice and kimchi” pattern and “Meat and alcohol” pattern were associated with low intakes of fiber, calcium, vitamin C, grains, fruit, and milk (p < 0.05). Fast food consumers had higher “Meat and alcohol” and “Grains, fruit, and milk” patterns, and they had a lower “White rice and kimchi” pattern than non-fast food-consumers. Fast food consumers were not associated with overweight/obesity, whereas participants with the “Meat and alcohol” pattern had 14% higher overweight/obesity (95% CI: 1.01, 1.28) and 16% higher central obesity (95% CI: 1.00, 1.34). Fast food consumption was not directly associated with obesity, whereas the “Meat and alcohol” pattern had independent associations with overweight/obesity and central obesity among Korean adults.

The burden of atherosclerotic cardiovascular disease (ASCVD) remains high worldwide, and its prevalence has increased in Asian countries over the last two decades. The increase in ASCVD may arise from complex interactions between genetic and lifestyle/environmental factors. Abnormal blood cholesterol levels, elevated blood glucose, obesity, elevated blood pressure, smoking, and family history are common risk factors of ASCVD. There is an increased burden of ASCVD in Asian countries, maybe due to rapid economic development and lifestyle changes in these countries. Nutrition is one of the major modifiable risk factors for ASCVD. Despite this, there are insufficient nutritional therapies for prevention and management of ASCVD in Asian patients. There is also a lack of relevant research in Asian populations. In this review, we describe the current nutritional guidelines and the findings from previous landmark studies regarding management and/or prevention of ASCVD. We also summarize the recommendations regarding evidence-based nutrition therapy/management strategies that may be effective in Asian subjects to prevent onset and/or to treat ASCVD.

Background: Few studies have examined multifaceted aspects of fast food consumption and dietary patterns for their effects on obesity. We examined the independent associations of obesity with fast food consumption and dietary pattern in Korean adults. Methods: A total of 19,017 adults aged 19–64y participated from KNHANES 2010-2014. Fast food items were removed from diet and then dietary patterns were generated. Multivariate logistic regression analysis was used to examine the odds for overweight/obesity and central obesity according to fast food consumption and dietary patterns. Results: Fast food consumers were about 10% of Korean adults. Both of White rice and kimchi pattern and Meat and alcohol pattern were associated with low intakes of fiber, calcium, vitamin C, grains, fruit, and milk(p<0.05). Fast food consumers had higher the Meat and alcohol pattern and the Grains, fruit, and milk pattern, and they had lower the White rice and kimchi pattern than non-fast-food-consumers. Fast food consumer were not associated with overweight/obesity, whereas the participants with Meat and alcohol pattern had 14% higher overweight/obesity(95%CI:1.01,1.28) and 16% higher central obesity(95%CI:1.00,1.34). Conclusions: Fast food consumption was not directly associated with obesity, whereas the Meat and alcohol pattern had independent associations with overweight/obesity and central obesity among Korean adults.

Joo J, et al. Clin Nutr Res. 2019 Apr;8(2):91-100. https://doi.org/10.7762/cnr.2019.8.2.91

Cho YA, et al. Clin Nutr Res. 2018 Jul;7(3):178-188. https://doi.org/10.7762/cnr.2018.7.3.178