Study on identifying obesity related dietary patterns in Shanghai adults

Objective To build the dietary patterns in Shanghai adults by applying 3 statistical methods, and identify the overweight-related or obesity-related dietary patterns.Methods 24 hours dietary recall questionnaire was used to collect the dietary data of 2812 adults in Shanghai from the winter of 2012 to the autumn of 2014.Cluster analysis, factor analysis and the combination of the above 2 methods were used to identify the dietary patterns; logistic regression was used to analysis the relationship between dietary patterns and being overweight or obesity.Results After controlling the confounding facts of age, gender, degree of education, physical activity and energy, the logistic regression analysis showed that there was higher risk of being overweight in "fruits & beverage" pattern than "traditional food" pattern(OR=1.25,P=0.04) and lower risk of being overweight in "high protein" pattern than "staple food" pattern(OR=0.77,P=0.01).Combination of cluster analysis and factor analysis showed that there was lower risk of being obesity in "traditional food" pattern than "balanced" pattern(OR=0.82,P=0.04).Conclusion Cluster analysis, factor analysis, and the combination method can be used to analysis dietary patterns for the further exploration of their relationships with obesity, though factor analysis and the combination method is doing better than cluster analysis.