he upward trend of overweight and obesity and associated risks (i.e., cardiovascular diseases, Type 2 diabetes, osteoarthritis, gallbladder disease, some cancers, and premature death) [1][2][3][4] has been paralleled by a global change in dietary patterns leading to higher levels of energy intake, as well as by a notable reduction in levels of physical activity. 5 The increase in energy intake is mostly from higher dietary fat and sugar intakes. In the United States, 15-25% of average daily total energy intake of adults is derived from beverages. 6 Further, the consumption of sugar-sweetened beverages (SSB) has increased over the past 20 years, to the point that SSB has become the largest source of beverage calories for American adults today. 7 Concomitant increases in the consumption of SSB and obesity rates in the adult population suggest a possible causative association. 6,8,9 Although the relationship between beverage consumption and weight management in children has been addressed frequently in recent literature, 1 studies on the adult population are few. There are no data on Canadian adults with respect to this question.In Canada, the only available comprehensive nutrition dataset is the Canadian Community Health Survey Cycle 2.2 (CCHS 2.2), conducted in 2004, which provides information on food intake (including beverages) of Canadians, as well as measured weight and height at both national and provincial levels. Descriptive data on beverage consumption of Canadians and patterns of beverage intake of Canadian adults have been analyzed and reported previously. 10 However, to our knowledge, no studies have investigated the association between sugar-sweetened beverages and overweight and obesity defined by body mass index (BMI) on a national scale.
METHODS
Study populationData from CCHS 2.2 were used. Data on demographics, socioeconomic and health status were gathered by interviews, while height and weight were measured by standardized methods. 11 Additional details on CCHS 2.2 can be found elsewhere. 12,13 From the 35,107 participants in CCHS 2.2, we excluded individuals >65 or <19 years of age, as well as pregnant and breastfeeding women; the resulting population of interest had a sample size of 14,304. Further, we identified and excluded those who had a missing value for energy intake (n=15) and those who reported implausible energy intakes 14 (n=2,478). Analyses were performed on both populations: total (n=14,304) and those with plausible energy intake (n=11,811).