Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

National pattern of grain products consumption among Canadians in association with body weight status

BMC Nutrition volume 3, Article number: 59 (2017) Cite this article

Abstract

Background

Obesity in Canadian adults is showing upward trends. Consumption of whole-grains is one recommendation for the prevention of obesity. Despite the apparent nutritional and energy content differences between whole and refined grains, knowledge relating refined grains to weight gain in Canadian adults is scarce. The aim of this study was to assess the consumption of specific grain-based foods at the regional and national levels, and to evaluate the association between grain consumption with overweight or obesity in Canadian adults.

Methods

We used the 2004 Canadian Community Health Survey data. The association between type of grain product consumed and Body Mass Index (BMI) in adults aged ≥19y was evaluated by logistic regression.

Results

The mean daily intake of whole grains (86 ± 1.9 g/day) was significantly less than refined grains (276.6 ± 3.8 g/day), which was different across provinces. After adjustment for caloric needs, male consumers showed significantly lower intake of whole grains than females. Accordingly, the incidence of overweight or obesity was higher in males than in females. Also, in comparison to whole grains, the consumption of refined grains was associated with a higher risk of overweight or obesity among adults.

Conclusion

Canadians’ preference was refined grain products consumption, based on 2004 Health Survey, which was significantly associated with overweight/obesity. Hence, consumption of whole grains should be more effectively promoted rather than refined grain products to prevent obesity and its complications such as cardiovascular diseases and type 2 diabetes.

Peer Review reports

Background

The increasing number of obese and overweight individuals in Canada has raised public attention and caused scientific debate on this issue [1, 2]. Between 1985 and 2011, the prevalence of adult obesity in Canada increased from 6.1% to 18.3%. It is predicted that by 2019, 34% and 21% of Canadian adults will be overweight and obese respectively [2,3,4,5]. The skyrocketing increase in the prevalence of obesity and its close association with major chronic diseases, also the importance of fiber in controlling body weight [6] necessitate the replacement of current diet with high percentage of refined grains, with whole-grain products.

Preliminary analyses of data from the 2004 Canadian Community Health Survey (CCHS) [7] showed that grains are a major source of energy for Canadians, contributing to 28.5% of the total energy intake of individuals with the age of over 18y [8]. In support of evidence linking whole-grain intake with a minimized risk of cardiovascular disease and reduced body weight, Canada’s Food Guide in 2007 recommended whole grains as at least half of the grain product daily consumption [9,10,11,12]. Seeds (also defined as whole grains such as Flaxseed, nuts) are not commonly consumed by Canadians, but the consumption is associated with a reduced risk of several chronic conditions including cardiovascular disease, certain forms of cancer, type 2 diabetes, and metabolic syndrome [13, 14, 11]. Many are choosing to consume refined grains as opposed to whole grains, due to their taste and appearance [15, 16]. However, the refining process removes bran, resulting in a loss of nutrients and leaving the refined grain with a higher relative starch concentration when compared to its whole grain form [17, 18]. The positive effect of whole grain products on weight loss is supported by previous research [19, 20]. However, few studies have linked refined grains to weight gain in Canadian adults [11, 21]. Further, to our knowledge, no detailed information is available on specific patterns of grain product consumption in Canada. The aim of the present study was to examine two aspects of grain product consumption in a representative sample of Canadians from the CCHS 2004 nutrition survey: 1) the consumption of specific grain-based foods and seeds by age/sex groups at national and regional levels, and 2) the association between refined grain consumption and being overweight or obese, defined by BMI, in Canadian adults.

Methods

Study population

The 2004 CCHS [7] sampled 35,107 individuals living in private dwellings in ten provinces [22] and the manner in which these samples were obtained adequately represents the Canadian population at provincial (only 10 provinces, excluding the territories, individuals living in institutions, correctional facilities and military service) and national levels. In the current study, the national intake of grain products was assessed using the CCHS 2.2 data on individuals aged 1 year and over (n = 34,818). We excluded pregnant women from this analysis. Data were collected between January 2004 and January 2005 with 98% coverage of the target population using a multi-stage cluster sampling [7].

Provincial distribution

To avoid small sample sizes, we grouped Canadian provinces, except territories, into five regions according to their geographic locations and similar population size: 1) Atlantic Provinces (Newfoundland & Labrador, New Brunswick, Nova Scotia, and Prince Edward Island) (n = 6447), 2) Quebec (n = 4746), 3) Ontario (n = 10,837), 4) Prairie Provinces (Manitoba, Saskatchewan, Alberta) (n = 9172), and 5) British Columbia (n = 3616).

Dietary exposure

Dietary intake data were collected via 24-h recall, and a second recall was conducted with one third of participants to obtain estimates of usual intakes of foods and nutrients [7]. In this study we used data from the first 24-h dietary recall which was completed by the whole CCHS 2.2 sample. We categorized participants by age/sex groupings similar to that of the Dietary Reference Intakes (DRIs) [10] by combining males and females aged 1-8y into one group, and collapsing all older adult categories into two groups: males or females >50y and males or females between 19 and 49 years. We identified all grain-based food items consumed by the participants. The consumption of various grain products was classified into three main categories: 1) whole grains, 2) refined grains, and 3) seeds (Additional file 1: Table S1). Due to the current trends in introducing whole seeds without any processing in diet, we considered seeds as a separate category. Individuals were defined as consumers of whole grain or refined grain products when more than 60% of the total daily intake of grain products was from whole grains or refined grains.

Canada’s Food Guide (2007) [10] recommends a daily consumption of Grain Products in which at least 50% of grain product choices are whole grain. The Canada’s Food Guide recommends varying amounts of grain products based on age and sex, ranging between 3 servings per day for 2–3 year olds and 8 servings per day for men 19–50 y. Examples of one serving of Grain Products could be 1 slice of bread (35 g), or ½ cup (74 g) cooked pasta, or ½ cup (93 g) cooked rice, or 30 g cold cereal.

Data collection

Data on demographics, socio-economic status, physical activity, and food security status were collected by interview. BMI (kg/m2) was calculated from the measured weight (kg) and height (m). Socio-economic status (using household income and including; lower, lower middle, upper middle and high), leisure time physical activity (categorized into different levels of activity including; active, moderate, inactive), and BMI [categorized into normal (<25 kg/m2), overweight (25–29.9 kg/m2) and obese (≥30 kg/m2)] were compared between males and females within each group of consumers (i.e. whole grain or refined grain consumers).

Statistical analyses

Analyses were run using the software programs SAS 9.1, and STATA SE 10. Statistical differences in intakes of grain product categories (whole grain and refined grain and seeds) between age/sex groups and/or geographic regions were evaluated by comparing confidence intervals and p-values. Characteristics of whole-grain and refined-grain consumers in terms of socio-economic status, leisure time physical activity, and BMI were used to compare differences between males and females. We were interested in sex-specific patterns of intake and its association with outcomes because dietary habits are different between men and women, and women are more health conscious [23].

Logistic regression was used to evaluate the association between grain product intake (whole grain users vs. refined grain users as a categorical variable) and BMI status. There was less than 3% with low BMI (<18.5 kg/m2) and the few cases were excluded from further analysis. Therfore, BMI was used as a categorical independent variable, and normal was a reference category in logistic regression. Possible confounders including energy intake, income-related food security status, education, area of residence, marital status, smoking, physical activity, and country of origin (Canadians-born vs. non-Canadian born) were all included in adjusted models. Due to the complex survey design, data were weighted and bootstrapped to obtain estimates that could be generalized to national and regional levels. Weighting provided unbiased estimates of population quantities, and bootstrapping allowed for estimation of standard errors, coefficients of variation and confidence intervals. One-Way ANOVA tests were used to compare different groups of grain intakes. Two-Way ANOVA tests were applied to look into the effect of both grain intake and gender/age groups. Comparison between categorical groups was done using Pearson Chi-square test. Alpha was set at 0.05.

Results

Assessment of grain intake

Intake according to grain categories and region

In Canada, the mean daily intake of all grain products was 308.7 ± 3.5 g/day. Mean intakes of different grain products including; whole grains, refined grains and seeds at national level and by specified regions are shown in Table 1. Comparison of the national daily intake of grains showed that the mean intake of whole grains was much less than that of refined grains (86 ± 1.9 g/day versus 276.6 ± 3.8 g/day, respectively), which follows the same type in different regions.

Table 1 Mean intakes of categories of grain products by region by Canadians 1 y and over
Full size table

Whole Grains: The number of Canadians consuming whole grain products ranged from 37% to 45%, the lowest being in the Atlantic region and the highest in British Columbia. British Columbia had the highest intake of whole grains and Ontario had the lowest (p < 0.05) (Table 1).

Refined Grains: The lowest prevalence of refined grain intake was found in the Atlantic region (75.8%) and the highest in Quebec (83.5%). However, in British Columbia the amount of refined grains consumed was significantly higher from all other regions (p < 0.05). The Atlantic region had the lowest consumption of refined grains, compared to the Prairies, and Ontario (p < 0.05) (Table 1).

Seeds: The prevalence of seed consumption was the lowest in the Atlantic region (32.7%) and the highest in British Columbia (42.2%). Similarly, the seed intake in grams per day was significantly higher in British Columbia compared to the national level and in the Atlantic and Quebec regions. Quebec had the lowest consumption of seeds, and it was significantly lower than the national level and the regions of British Columbia, Ontario and the Prairies (p < 0.05) (Table 1).

Grain category intake according to sex and age in different regions

Whole Grains: After correcting for total daily energy intake, males ate more whole grains (g/day), than females in all regions (p < 0.05), except in British Columbia and Quebec where differences between males and females were not significant (Fig. 1a). On the other hand, when comparing the prevalence instead of the consumption (g/day) of grain intake, a higher percentage of females consumed whole grains compared to males at the national level (43.2% vs. 38.8%) and in all regions, except in the Prairies where it was higher for males (43.7% vs. 40.6%) (Table 2). There were regional, as well as age and sex differences in consumption of the two common whole grains consumed in Canada: whole wheat bread and oatmeal. The national average intake of whole wheat bread was 76.0 g/day. Generally, men 19–30 and 31–50 years had the highest intake of whole wheat bread across the country (p < 0.05), with the exception of the Prairies where women 19–30 y had the highest intake. The national average intake of oatmeal was 110.0 g/day, with the highest consumption among men 31–50 y (142 g/day). However, regional differences showed that men over 50 years in the Prairies and Ontario had the highest consumption of oatmeal, 145 g/day and 150 g/day, respectively, while women 19–30 y in British Columbia had the highest intake (249 g/day). Men 31–50 y were the highest consumers of oatmeal in Quebec who consumed an average of 251 g/day. The highest consumption of oatmeal was among men 19-30y in the Atlantic Provinces who ate over three times the national average at 354 g/day.

Fig. 1
figure 1

Categories of grain product intake in Canada according to sex (a) Whole Grain Intake, (b) Refined Grain Intake, (c) Seed Intake. * indicates significant sex difference at p < 0.05. Error bars represent the standard error of the estimate

Full size image
Table 2 Categories of grain product intake in Canada by age and sex groups
Full size table

Refined Grains: Males over 8y consumed significantly more refined grains (g/day) than females in all regions (p < 0.05) (Fig. 1b). Canadian males and females aged >50y had significantly lower intakes of refined grain products compared to other age groups over 8y (p < 0.05) (Table 2). Two of the most commonly consumed refined grain products were white bread and macaroni.

The mean intake of white bread in Canada was 56.0 g. Men 31–50 were the largest consumers of white bread, eating 69 g/day. Regionally, men 19–30 y in the Atlantic Provinces, British Columbia, and Quebec consumed the most white bread, 74.6 g/day, 82 g/day and 79 g/day respectively. Young men 9-18y in the Prairie Provinces were the highest consumers of white bread in that region at 74.5 g/day. This is distinct from Ontario where men 31–50 y were the top consumers of white bread in that province (67 g/day). A common Canadian enriched grain product is macaroni, and on average, Canadians consumed 291 g/day. Nationally, and in British Columbia, the Prairies, and Ontario men 19-30y were the top consumers of macaroni at 373 g/day, 399 g/day, 453 g/day, and 439 g/day respectively. Though, in Quebec and the Atlantic provinces, the younger people (men 9-18y) consumed the most macaroni at 379 g/day and 370 g/day, respectively.

Seeds: The consumption of seeds (g/day) was significantly higher for males when compared to females at the national and all regional levels, except in Quebec where the difference was not significant (Fig. 1c). At the national level, males aged 9-18y and >31y consumed more seeds than females (Table 2). Among the seed subcategories, the mean intake of beans was of 40.9 g/day at the national level. The highest consumption of beans was found in British Columbia, 54.7 g/day and the lowest in the Atlantic region, 26.6 g/day (p < 0.05). The intakes of beans at the national level and in British Columbia were significantly higher than in the Atlantic region. With the exception of Quebec, the intake of nuts in all regions was significantly higher in males compared to females. Men aged 19-30y and 31-50y were the highest consumers of nuts in British Columbia, the Prairies, Ontario and the Atlantic provinces. Young men in Quebec (9-18y) were the top consumers of nuts in that province, 62 g/day.

Grain product intake and BMI in adults

Distribution of grain intake according to sex

Considering only the adult population ≥ 19y, more than 80% of Canadian males and females were categorized as refined grain consumers. After dividing the total grain consumption into whole and refined grain intake categories, male versus female distributions under each category were 12% vs. 17% (p < 0.001) for whole grains, and 88% vs. 83% (p < 0.001) for refined grains (Fig. 2).

Fig. 2
figure 2

Distribution of adult whole grain and refined grain consumption according to sex. When intake >60%, consumers were categorized as either Whole Grain or Refined Grain consumers.* indicates significant sex difference according to category of grain intake (p < 0.001)

Full size image

Characteristics of grain consumers according to sex

Female consumers showed significantly higher intakes of whole grains than males in lower, lower middle, and high income categories (Table 3). Also, within refined grain consumers, differences were observed between males and females according to income and physical activity (Table 3).

Table 3 Characteristics of whole grain versus refined grain consumers by sex
Full size table

Association between grain intake and BMI

Males were found to be at higher risk of being overweight or obese than females (adjusted odds ratio = 2.0, 95% CI = 1.03–3.89, p < 0.05). Also, in comparison to whole grains, consumption of refined grains was associated with higher trend for overweight and obesity (adjusted odds ratio = 1.93, 95% CI = 0.91–4.01, p = 0.08). Furthermore, in females, the odds of being overweight or obese were significantly higher for refined grain consumers (Adjusted odds ratio = 2.27, 95% CI = 1.01–5.12, p < 0.05), but this was no longer significant after adjusting for energy intake.

Discussion

The national average grain intake was 309 g/day with the highest consumption of grains in British Columbia and the lowest in the Atlantic Provinces. Despite the recommended guidelines for whole grains being half the total servings of grains (6–7 serving/day), the actual consumption of whole-grain foods was very low compared to refined-grain foods. Traditional preferences for refined products, their taste and appearance, and unfamiliarity with appropriate cooking techniques are some of the barriers to increasing the consumption of whole-grain food [24, 25]. Considering that the mean intake of whole grains (86 g/day) was 3 times lower than that of refined grain products (277 g/day), there is a need for Canadians to increase their consumption of whole grains. In addition, approximately 80% of Canadians reported consuming 60% or more of their total grain intake as refined, which is not in agreement with Canada’s Food Guide recommendation that at least half of one’s total grain intake be from whole grains. Due to health benefits of whole grains, the current consumption of refined grains should be reduced to one-third or one-half of all grains, and be replaced by whole grains [11].

Canadians also consumed relatively low amounts of seeds at <65 g/day, or approximately 2 tablespoons per day. Canada’s Food Guide recommends individuals to “have meat alternatives such as beans, lentils or tofu often” and to “use dry roasted nuts and seeds…” [10]. There is evidence showing the potential health benefits of seeds including: whole grains, nuts and legumes, in decreasing the risks of cardiovascular disease and type 2 diabetes mellitus, two conditions which are highly prevalent in the country. Seeds consumption improves lipid profiles, glycemic responses and blood pressure, which are risk factors for cardiovascular disease and diabetes [26,27,28]. Therefore, encouraging increased consumption of seeds would be beneficial to the population, particularly in the Atlantic Provinces which showed the lowest intake of seeds.

Our findings are consistent with grain intake status in other countries. In the United Kingdom, whole-grain consumption has decreased over the last two decades to 14 g per day and 29% of adults report consuming no whole-grain foods [29, 30]. Similarly, in the United States, it is estimated that whole grains form less than 15% of the total grain consumption and only 6–8% of adults meet the target of three whole-grain servings per day [20, 31, 32]. In Australia, the National Nutrition Survey reported that almost 70% of the grains consumed are refined grains [33].

The general regional trend of a decreasing grain intake from West to East in Canada was found, yet there were important age and sex differences in consumption of grain products. While males aged 8-50y consumed more total and refined grains than females in all regions, men and women over 50y consumed significantly less grains (total and refined) than other age groups. Despite the higher amounts of whole grains consumed by males across the country, British Columbia and Quebec showed no significant difference in consumption rate between males and females. Furthermore, the consumption rate of whole grain products was only higher in 9-18y males when compared to females, thus suggesting that women may be more health conscious. This is evident by our results that physically active men consumed less whole grains when compared to women with similar activity levels, and that males (when compared to females) have an increased risk for being overweight/obese (adjusted odds ratio = 2.0, 95% CI = 1.03–3.89, p = 0.04). Grain food consumption might be different in accordance to ethnic or sex differences, however the contribution of refined grain foods exceeded that of whole grain products among the majority of ethnic or gender groups [34]. Consistent with our results, others have demonstrated using more whole-grains products by women rather than refined grains [35,36,37].

In our study, after adjusting for energy intake, women consuming refined grains showed an increasing trend in the risk for becoming overweight or obese, an association that is similar to the study by Ye et al. (2012) [38] who reported an inverse association between whole-grain intake and weight gain, with consistently less weight gain observed in those consuming 3–5 servings/day of whole grain compared with never consumers during 8–13 years of follow-up. In another study, women in the highest quintile of whole-grain and dietary fiber intake had a 23%, 49% lower risk of major weight gain, respectively [39]. Our finding of higher incidence of overweight and obesity from refined grain consumption compared to whole grains is consistent with results of others, showing that a high intake of refined grains leads to: higher BMI and WC; increased long-term weight gain; a higher fat mass; a higher BP; increased serum total and LDL cholesterol, fasting blood glucose, serum triglyceride; higher insulin resistance and diabetes prevalence [20, 40, 41, 30, 42,43,44]. It is notable that refined grains are a source of some important nutrients and also fortified with folate in Canada [9]. Our results indicate that the proportion of whole grain products consumption in total grain intake should be increased from 15% as we found in this study to higher level such as what is recommended by Health Canada as 50% of the total grain product intake [10].

Not all studies of grains consumption show body weight effects. Whole-grain bread consumption (60% rye, 40% wheat) in Finland was not associated with obesity in men [45], although the relationship was present in a smaller number of households. In Brazil, the prevalence of obesity was not related to the consumption of white rice, bread, biscuits, pasta and white flour in a large number of households [46]. American adults who consumed refined grains did not show any increase in BMI, percent body fat and trunk fat mass [21]. These discrepancies may be related to the different proportions of high-refined grain foods. While the details about foods included within the refined-grain category are not completely available, they usually consist of mixtures of low-fat grain foods and refined-grain foods, which are high in added fat, sugar, or sodium (e.g., pizza, doughnuts and cakes). Also, there are different confounding factors (including age, gender, ethnicity, economic status, physical activity, and underlying diseases) that might affect the association between obesity and grain intake. In addition, the popular Western diet, which is usually used for evaluating disease risk, has a high regional variation in the consumption and type of grain foods [11].

Conclusion

In summary, age, sex and regional consumption differences were apparent in this study, leaving opportunities for encouraging consumption of whole grain products nationwide with an added focus on the male population, as well as on the Atlantic Provinces. Refined grains consumption was associated with an increase in body mass index in adults. These data suggest Canadians should be encouraged to reduce their current consumption of refined grains and to increase consumption of whole grains so that no more than one-half of all grains are refined, in order to meet the targets for whole-grain foods, which have proven beneficial health outcomes.

Abbreviations

BMI:

Body Mass Index

BP:

Blood pressure

CCHS:

Canadian Community Health Survey

CI:

Confidence Interval

DRIs:

Dietary Reference Intakes

WC:

Waist circumference

References

  1. Imbeault P, Haman F, Blais JM, Pal S, Seabert T, Krummel EM, Robidoux MA. Obesity and type 2 diabetes prevalence in adults from two remote first nations communities in northwestern Ontario, Canada. J Obes. 2011; doi:10.1155/2011/267509.

  2. Twells LK, Gregory D, Reddigan J, Midodzi WK. Current and predicted prevalence of obesity in Canada: a trend analysis. Can Med Assoc J Open. 2014;2:E18–26. doi:10.9778/cmajo.20130016.

    Google Scholar 

  3. Bancej CJB, Wall RW, Rao DP, Do MT, de Groh M, Jayaraman GC. Trends and projections of obesity among Canadian. Health Promot Chronic Dis Prev Can. 2015;35(7):109–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Shields M. Overweight and obesity among children and youth. Health Rep. 2006;17:27–42. 16981484

    PubMed  Google Scholar 

  5. Janssen I, Sheilds M, Craig CL, Tremblay MS. Prevalence and secular changes in abdominal obesity in Canadian adolescents and adults, 1981 to 2007–2009. Obes Rev. 2011;12:397–405. doi:10.1111/j.1467-789X.2010.00815.x.

    Article  CAS  PubMed  Google Scholar 

  6. Grube B, Chong PW, Lau KZ, Orzechowski HD. A natural fiber complex reduces body weight in the overweight and obese: a double-blind, randomized, placebo-controlled study. Obesity. 2013;21(1):58–64. doi:10.1038/oby.2012.165.

    Article  CAS  PubMed  Google Scholar 

  7. Statistics Canada. 2004b. Canadian Community Health Survey Cycle 2.2 (2004). A guide to accessing and interpreting data. Internet: https://www.canada.ca/content/dam/hc-sc/migration/hc-sc/fn-an/alt_formats/hpfb-dgpsa/pdf/surveill/cchs-guide-escc-eng.pdf. (accessed May 15, 2010).

  8. Garriguet D. “Canadian Community Health Survey Cycle 2.2 (2004), Overview of Canadians’ eating habits,” Statistics Canada publication Internet: (accessed Nov 3, 2010).

  9. Harland JI, Garton LE. Whole-grain intake as a marker of healthy body weight and adiposity. Public Health Nutr. 2008;11:554–63. doi:10.1017/S1368980007001279.

    Article  PubMed  Google Scholar 

  10. Health Canada. Eating well with Canada’s food guide. 2007; Available at https://www.canada.ca/content/dam/hc-sc/migration/hc-sc/fn-an/alt_formats/hpfb-dgpsa/pdf/food-guide-aliment/view_eatwell_vue_bienmang-eng.pdf.

  11. Williams PG. Evaluation of the evidence between consumption of refined grains and health outcomes. Nutr Rev. 2012;70:80–99. doi:10.1111/j.1753-4887.2011.00452.x.

    Article  PubMed  Google Scholar 

  12. Mobley AR, Slavin J, Hornick BA. The future of recommendations on grain foods in dietary guidance. J Nutr. 2013;143:1527S–32S. doi:10.3945/jn.113.175737.

    Article  CAS  PubMed  Google Scholar 

  13. Okarter N, Liu RH. Health benefits of whole grain phytochemicals. Crit Rev Food Sci Nutr. 2010;50:193–208. doi:10.1080/10408390802248734.

    Article  CAS  PubMed  Google Scholar 

  14. Jonnalagadda SS, Harnack L, Liu RH, McKeown N, Seal C, Liu S, Fahey GC. Putting the whole grain puzzle together: health benefits associated with whole grains (summary of American Society for Nutrition 2010 satellite symposium). J Nutr. 2011;141:S1011–22. doi:10.3945/jn.110.132944.

    Article  Google Scholar 

  15. Slavin J. Whole grains and human health. Nutr Res Rev. 2004;17:99–110. doi:10.1079/NRR200374.

    Article  PubMed  Google Scholar 

  16. Manickavasagana A, Reicksb M, Singha V, Sawsanaa A, Intisara AM, Lakshmy R. Acceptability of a reformulated grain-based food: implications for increasing whole grain consumption. Food Science Human Wellness. 2013;2(3–4):105–12.

    Article  Google Scholar 

  17. Slavin J. Why whole grains are protective: biological mechanisms? Proc Nutr Soc. 2003;62:129–34. doi:10.1079/PNS2002221.

    Article  CAS  PubMed  Google Scholar 

  18. Karl JP, Saltzman E. The role of whole grains in body weight regulation. Adv Nutrients. 2012;3:697–707. doi:10.3945/an.112.002782.

    Article  CAS  Google Scholar 

  19. Jacobs DR, Meyer K, Kushi LH, Folsom AR. Whole-grain intake may reduce the risk of ischemic heart disease death in postmenopausal women: the Iowa Women’s health study. Am J Clin Nutr. 1998;68:248–57. 9701180

    CAS  PubMed  Google Scholar 

  20. Cleveland LE, Moshfeq AJ, Albertson AM, Goldman JD. Dietary intake of whole grains. J Am Coll Nutr. 2000;19:331S–8S. 10875606

    Article  CAS  PubMed  Google Scholar 

  21. McKeown N, Yoshida M, Shea M, Jacques PF, Lichtenstein AH, Rogers G, Booth SL, Saltzman E. Whole-grain intake and cereal fiber are associated with lower abdominal adiposity in older adults. J Nutr. 2009;139:1950–5. doi:10.3945/jn.108.103762.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Statistics Canada. 2004a. Canadian Community Health Survey Cycle 2.2 (2004). Internet: https://www.canada.ca/content/dam/hc-sc/migration/hc-sc/fn-an/alt_formats/hpfb-dgpsa/pdf/surveill/cchs-guide-escc-eng.pdf.

  23. Botchway I, Wiafe-Akenteng B, Atefoe EA. Health consciousness and eating habits among non–medical students in Ghana: a cross-sectional study. J Advocacy Res Educ. 2015;2(1):31–5.

    Google Scholar 

  24. Adams JEA. Helping consumers achieve recommended intakes of whole grain foods. J Am Coll Nutr. 2000;19:S339–44. 10875607

    Article  Google Scholar 

  25. Poutanen K, Sozar N, Valle D. How can technology help to deliver more of grain in cereal foods for a healthy diet? J Cereal Sci. 2014;59:327–36. doi:10.1016/j.jcs.2014.01.009.

    Article  CAS  Google Scholar 

  26. Sievenpiper JL, Kendall C, Esfahani A, Wong JM, Carleton AJ, Jiang HY, Bazinet RP, Vidgen E, Jenkins DJ. Effect of non-oil-seed pulses on glycaemic control: a systematic review and meta-analysis of randomised controlled experimental trials in people with and without diabetes. Diabetologia. 2009;52:1479–95. doi:10.1007/s00125-009-1395-7.

    Article  CAS  PubMed  Google Scholar 

  27. Flock MR, Kris-Etherton PM. Dietary guidelines for Americans 2010: implications for cardiovascular disease. Curr Atheroscler Rep. 2011;13:499–507. doi:10.1007/s11883-011-0205-0.

    Article  CAS  PubMed  Google Scholar 

  28. Ros E, Hu F. Consumption of plant seeds and cardiovascular health: epidemiological and clinical trial evidence. Circulation. 2013;128:553–65. doi:10.1161/CIRCULATIONAHA.112.001119.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Aisbitt BCJ, Lunn J. Cereals – current and emerging nutritional issues. Nutr Bull. 2008;33:169–85. doi:10.1111/j.1467-3010.2008.00704.x.

    Article  Google Scholar 

  30. Good CK, Holschuh N, Albertson AM, Eldridge AL. Whole grain consumption and body mass index in adult women: an analysis of NHANES 1999–2000 and the USDA pyramid servings database. J Am Coll Nutr. 2008;27:80–7. 18460485

    Article  PubMed  Google Scholar 

  31. Lin BH. US grain consumption landscape: who eats grain, in what form, where and how much? Washington, DC: US Dept Agriculture Economic Research Service; 2007.

    Google Scholar 

  32. Reicks M, Jonnalagadda S, Albertson AM, Joshi N. Total dietary fiber intakes in the US population are related to whole grain consumption: results from the National Health and nutrition examination survey 2009 to 2010. Nutr Res. 2014;34:226–34. doi:10.1016/j.nutres.2014.01.002.

    Article  CAS  PubMed  Google Scholar 

  33. National Health and Medical Research Council. 2011. A New Food Guidance System for Australia – Foundation and Total Diets. https://consultations.nhmrc.gov.au/files/consultations/draft_foundation_total_diets_public_consult.pdf. Accessed 3 Feb 2011.

  34. Sharma S, Sheehy T, Kolonel LN. Ethnic differences in grains consumption and their contribution to intake of B-vitamins: results of the multiethnic cohort study. Nutr. 2013;12:65. doi:10.1186/1475-2891-12-65.

    Article  Google Scholar 

  35. Champagne CM, Bogle ML, McGee BB, Yadrick K, Allen HR, Kramer TR, Simpson P, Gossett J, Weber J, Lower Mississippi Delta Nutrition Intervention Research Initiative. Dietary intake in the lower Mississippi Delta region: results from the foods of our delta study. J Am Diet Assoc. 2005;104:199–207. doi:10.1016/j.jada.2003.11.011.

    Article  Google Scholar 

  36. Maras JE, Newby P, Bakun PJ, Ferrucci L, Tucker KL. Whole grain intake: the Baltimore longitudinal study of aging. J Food Comp Anal. 2009;22:53–8. doi:10.1016/j.jfca.2008.10.005.

    Article  Google Scholar 

  37. Burgess-Champoux TL, Larsen NI, Neumark-Sztainer DR, Hannan PJ, Story MT. Longitudinal and secular trends in adolescent whole-grain consumption, 1999–2004. Am J Clin Nutr. 2010;91:154–9. doi:10.3945/ajcn.2009.28250.

    Article  CAS  PubMed  Google Scholar 

  38. Ye EQ, Chacko S, Chou EL, Kugizaki M, Liu S. Greater whole-grain intake is associated with lower risk of type 2 diabetes, cardiovascular disease, and weight gain. J Nutr. 2012;142:1304–13. doi:10.3945/jn.111.155325.

    Article  CAS  PubMed  Google Scholar 

  39. Liu S, Willett W, Manson JE, Hu FB, Rosner B, Colditz G. Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. Am J Clin Nutr. 2003;78:920–7. 14594777

    CAS  PubMed  Google Scholar 

  40. Koh-Banerjee P, Franz M, Sampson L, Liu S, Jacobs DR, Spiegelman D, Willett W, Rimm E. Changes in whole-grain, bran, and cereal fiber consumption in relation to 8-y weight gain among men. Am J Clin Nutr. 2004;80:1237–45. 15531671

    CAS  PubMed  Google Scholar 

  41. Bazzano LA, Bubes V, Good CK, Manson JE, Liu S. Dietary intake of whole and refined grain breakfast cereals and weight gain in men. Obes Res. 2005;13:1952–60. doi:10.1038/oby.2005.240.

    Article  PubMed  Google Scholar 

  42. Mellen PB, Walsh TF, Herrington DM. Whole grain intake and cardiovascular disease: a meta-analysis. Nutr Metab Cardiovasc Dis. 2008;18:283–90. doi:10.1016/j.numecd.2006.12.008.

    Article  PubMed  Google Scholar 

  43. Radhika G, Van Dam R, Sudha V, Ganesan A, Mohan V. Refined grain consumption and the metabolic syndrome in urban Asian Indians (Chennai urban rural epidemiology study 57). Metabolism. 2009;58:675–81. doi:10.1016/j.metabol.2009.01.008.

    Article  CAS  PubMed  Google Scholar 

  44. Kristensen M, Tubro S, Jensen MG, Ross AB, Riboldi G, Petronio M, Bugel S, Tetens I, Astrup A. Whole grain compared with refined wheat decreases the percentage of body fat following a 12-week, energy-restricted dietary intervention in postmenopausal women. J Nutr. 2012;142:710–6. doi:10.3945/jn.111.142315.

    Article  CAS  PubMed  Google Scholar 

  45. Lahti-Koski M, Pietinen P, Helivaara M, Vartiainen E. Associations of body mass index and obesity with physical activity, food choices, alcohol intake, and smoking in the 1982–1997 FINRISK studies. Am J Clin Nutr. 2002;75:809–17. 11976153

    CAS  PubMed  Google Scholar 

  46. Lobato J, Costa A, Sichieri R. Food intake and prevalence of obesity in Brazil: an ecological analysis. Public Health Nutr. 2009;12:2209–15. doi:10.1017/S1368980009005527.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We would like acknowledge SKY-RDC at the University of Saskatchewan for providing access to CCHS data.

Funding

Canaryseed Development Commission of Saskatchewan.

Availability of data and materials

The master files of Statistics Canada surveys are only available for researchers through a signed contract after approving the proposal only in Statistics Canada Secure Research Data Centres across Canada. Our main data file and detailed analyses are stored in such secure system; only analyses are allowed to be released after proper vetting procedures based on Statistics Canada regulations.

Author information

Authors and Affiliations

  1. College of Pharmacy and Nutrition, University of Saskatchewan, 110 Science Place, Saskatoon, SK, S7N 5C9, Canada

    Hassan Vatanparast & Susan Whiting

  2. University of Ottawa Heart Institute, Ottawa, Canada

    Alomgir Hossain

  3. Department of Community Health and Epidemiology, Health Science Building, University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK, S7N 5E5, Canada

    Alomgir Hossain

  4. Pure North S’Energy Foundation, 326 11 Ave SW, Calgary, AB, T2R0C5, Canada

    Naghmeh Mirhosseini

  5. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 800 Sumter Street, Columbia, SC, 29208, USA

    Anwar T. Merchant

  6. School of Public Health, University of Saskatchewan, 110 Science Place, Saskatoon, SK, S7N 5C9, Canada

    Michael Szafron

  7. College of Pharmacy and Nutrition, 104 Clinic Place (E3332 Health Sciences), Saskatoon, SK, S7N 2Z4, Canada

    Hassan Vatanparast

Authors
  1. Hassan Vatanparast
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Susan Whiting
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alomgir Hossain
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Naghmeh Mirhosseini
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anwar T. Merchant
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Michael Szafron
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

HV and SW designed the study. HV and AH involved in data analyses and drafting the initial manuscript. MS contributed in revisiting the statistical approach and provided comments on revising some parts of analyses, and involved in final review. AM was involved in study design and critical revision of the paper. NM was involved in acquisition of data, tabulating the data, interpretation of data, preparing tables and figures, and critically revising the manuscript and final review. All co-authors were involved in reviewing and revising the manuscript. HV had primary responsibility for final content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hassan Vatanparast.

Ethics declarations

Ethics approval and consent to participate

This paper has been produced based on secondary data analyses of the Canadian Community Health Survey Cycle 2.2 (CCHS) conducted by Statistics Canada. Hence ethics approval and consent of participants were not required.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1: Table S1.

Grain products in three different categories. Description of data: Name of grain products in different categories. (DOCX 12 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vatanparast, H., Whiting, S., Hossain, A. et al. National pattern of grain products consumption among Canadians in association with body weight status. BMC Nutr 3, 59 (2017). https://doi.org/10.1186/s40795-017-0183-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40795-017-0183-x

Keywords

BMC Nutrition

ISSN: 2055-0928

Contact us