Trends in sugary drinks in Canada, 2004 to 2015: a comparison of market sales and dietary intake data

2019 ◽  
Vol 22 (15) ◽  
pp. 2723-2728 ◽  
Author(s):  
Christine D Czoli ◽  
Amanda C Jones ◽  
David Hammond

AbstractObjective:The current study aimed to examine the correspondence between sales data and dietary recall data for sugary drinks in Canada.Design:Repeat cross-sectional analysis of sales data for sugary drinks sold in Canada from 2004 to 2015 from two sources: GlobalData (GD) and Euromonitor (EM). Sugary drinks included ten beverage categories containing free sugars. Analyses examined sales volumes over time, with adjustment for population growth. National intake estimates were drawn from the 2004 and 2015 Canadian Community Health Survey (CCHS) Nutrition.Setting:Canada.Participants:Not applicable.Results:In 2015, daily per capita sugary drinks consumption was estimated as 356 ml (GD) and 443 ml (EM) from sales data sources, and as 277 ml from dietary recall data. Both sales data sources and dietary recall data indicated that per capita sugary drinks consumption decreased from 2004 to 2015, although the magnitude of this change differed: −23 % (GD), −17 % (EM) and −32 % (CCHS Nutrition). Market sales data showed similar trends among categories of sugary drinks, with decreases in sales of traditional beverage categories (e.g. carbonated soft drinks) and increases in novel categories (e.g. sugar-sweetened coffee).Conclusions:All data sources indicate a declining trend in sugary drinks consumption between 2004 and 2015, but with considerable differences in magnitude. Consumption estimates from sales data were substantially higher than estimates from dietary recall data, likely due to under-reporting of beverage intake through dietary recall and the inability of sales data to account for beverages sold but not consumed. Despite the observed decline, sugary drinks sales volumes remain high in Canada.

2021 ◽  
Author(s):  
Joanne Mattar ◽  
Valerie Chauvin ◽  
Jacques Marleau ◽  
Katerina Kavalidou ◽  
Ahmed Jerome Romain

Obesity is considered as one of the entrance point of multimorbidity and has an impact on physical and mental health. While some evidence points out to a possible relationship between obesity, multimorbidity and suicidal spectrum, little provide a direct association. Thus, the aim of the present study was to examine the co-occurring effect of both multimorbidity and obesity on suicidal ideation. Methods A cross-sectional analysis of the Canadian Community Health Survey data was conducted. A weighted sample of young adults (18 to 30 years-old) with obesity, from the province of Quebec, of the 2005 (n=394) and 2015–2016 (n=295) cycles were investigated independently. Multimorbidity, suicidal ideation, and health behaviours were self-reported. Results The prevalence of physical multimorbidity was 15% in 2005 and 18% in 2015–2016. Adjusted logistic regressions showed an association between multimorbidity and suicidal ideation (2005: OR 3.59, 95% CI 1.89-6.81; 2015–2016: OR 3.72, 95% CI 1.88-7.36). Among covariates, the significant association of sex (OR 1.98; 95% CI 1.16-3.37) and educational status (OR 3.27; 95% CI 1.49-7.18) in the 2005 cycle, were not replicated in the 2015–2016 cycle (education: OR 0.93; 95% CI 0.46-1.87; sex (OR 0.90; 95% CI 0.48-1.69). Finally, our results suggest no consistent association between health behaviours and suicidal ideation.Conclusion Multimorbidity seems to be associated with suicidal ideation among those with obesity. Attention should be given to multimorbidity management within obesity-related interventions for young people, as the development of suicidal ideation may also be prevented.


2015 ◽  
Vol 19 (8) ◽  
pp. 1358-1367 ◽  
Author(s):  
Keri Szejda Fehrenbach ◽  
Allison C Righter ◽  
Raychel E Santo

AbstractObjectiveTo describe the methods, strengths and limitations of available data sources for estimating US meat and protein consumption in order to facilitate accurate interpretations and applications.DesignWe examined agricultural supply and dietary intake databases from the US Department of Agriculture (USDA), the US Department of Health and Human Services and the FAO to describe their methodology and to report the most recent estimates for meat and protein consumption.ResultsTogether, loss-adjusted agricultural supply data and dietary recall data provide the best available estimates of US consumption; the most recent sources indicated that US citizens (ages 2 years and over) consume 4·4–5·9 oz (125·9–166·5 g) of total meat and 6·2–7·4 oz-eq (175·2–209·4 g-eq) from the USDA Protein Foods Group per day. Meat constitutes the majority of intake within the Protein Foods Group, and red meat and processed meat constitute the majority of total meat intake. Nutrient supply data indicate that total meat represents an estimated 43·1 % of the total protein available in the US food supply, but without any loss-adjusted nutrient data, per capita protein intake is best estimated by dietary recall data to be 79·9 g/d.ConclusionsIn order to address public health concerns related to excess meat and/or protein consumption, practitioners, educators and researchers must appropriately use available data sources in order to accurately report consumption at the population level. Implications for comparing these estimates with various recommended intakes are discussed.


2018 ◽  
Vol 38 (3) ◽  
pp. 125-134
Author(s):  
Maria McInerney ◽  
Vikki Ho ◽  
Anita Koushik ◽  
Isabelle Massarelli ◽  
Isabelle Rondeau ◽  
...  

Introduction Poor diet quality has been shown to increase the risk of common chronic diseases that can negatively impact quality of life and burden the healthcare system. Canada’s Food Guide evidence-based recommendations provide dietary guidance aimed at increasing diet quality. Compliance with Canada’s Food Guide can be assessed with the Canadian Healthy Eating Index (C-HEI), a diet quality score. The recently designed Canadian Diet History Questionnaire II (C-DHQ II), a comprehensive food frequency questionnaire could be used to estimate the C-HEI in Canadian populations with the addition of food group equivalents (representing Canada’s Food Guide servings) to the C-DHQ II nutrient database. We describe methods developed to augment the C-DHQ II nutrient database to estimate the C-HEI. Methods Food group equivalents were created using food and nutrient data from existing published food and nutrient databases (e.g. the Canadian Community Health Survey — Cycle 2.2 Nutrition [2004]). The variables were then added to the C-DHQ II companion nutrient database. C-HEI scores were determined and descriptive analyses conducted for participants who completed the C-DHQ II in a cross-sectional Canadian study. Results The mean (standard deviation) C-HEI score in this sample of 446 adults aged 20 to 83 was 64.4 (10.8). Women, non-smokers, and those with more than high school education had statistically significant higher C-HEI scores than men, smokers and those with high school diplomas or less. Conclusion The ability to assess C-HEI using the C-DHQ II facilitates the study of diet quality and health outcomes in Canada.


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