Soyabeans are rich in nutrients such as Ca, Fe, riboflavin and K, and contain compounds such as isoflavones and lecithins that have been associated with a reduction in chronic disease and an improvement in bone health, particularly in women( Reference Lanou 1 – 6 ). In addition, soya protein contains adequate quantities of essential amino acids( Reference Montgomery 2 ). In 1999, the US Food and Drug Administration (FDA) approved a food-labelling health claim for soya foods based on their conclusion that daily consumption of 25 g soya protein coupled with a low-fat diet may reduce the risk of CVD by lowering blood cholesterol levels( 7 ). Asian populations who consume soya as a staple food have been shown to have a reduced risk of CVD compared with their Western counterparts( Reference Erdman 8 – Reference Zhang, Shu and Gao 10 ). A decreased risk of breast cancer in pre-menopausal Chinese women who were high consumers of soya foods was first reported by Lee et al. ( Reference Lee, Lee and Gourley 11 ). More recently, a study that examined the risk of breast cancer in Chinese women has found that women with high soya isoflavone intakes have a decreased risk of breast cancer mortality, while women with high soya protein intakes have a lower risk of breast cancer than those with lower consumption( Reference Kang, Zhang and Yang 12 ). Although research involving soya consumption and breast cancer has been extensive, overall results are not conclusive. In addition, the mechanism between intake of soya and reduced risk of breast cancer remains unclear( Reference Trock, Hilakivi-Clarke and Clarke 13 ).
Phyto-oestrogens in soya and soya protein have been positively associated with bone-protective effects in women, and with bone and Ca balance in postmenopausal women, respectively( Reference Montgomery 2 , Reference Arjmandi, Khalil and Smith 14 ). Consumption of soya proteins may reduce Ca excretion due to their lower sulphur amino acid content( Reference Messina and Messina 15 ). In addition, intake of soya isoflavones has been found to significantly increase bone mineral density in peri- and postmenopausal women( Reference Wei, Liu and Chen 16 ), possibly due to their interaction with vitamin D in stimulating bone formation and reducing resorption( Reference Park and Weaver 17 ). Although many studies have been conducted to investigate the beneficial effects of soya food consumption on the prevention of bone loss or osteoporosis in postmenopausal women due to soya isoflavones, results remain inconclusive, and further randomised controlled trials are necessary to better elucidate the relationship between isoflavones and bone loss( Reference Castelo-Branco and Cancelo Hidalgo 18 – Reference Weaver and Cheong 20 ).
Studies have shown that replacement of meat and dairy products with soya products may improve diet quality. For example, replacing a 3-ounce (85 g) patty made from ground beef with a soya patty leads to a reduction of 12 g fat and 5 g saturated fat. Similarly, replacing a cup of whole milk with a cup of soya milk can reduce the intake of fat and saturated fat by 4 and 4·5 g, respectively. The partial replacement of traditional protein ingredients with tofu led to enhanced nutritional quality recipes used in American preschools. When tofu replaced cheese, the amount of fat, cholesterol, Na and energy was reduced; when it replaced beef, the amount of fat and cholesterol decreased and when it replaced egg or chicken, the amount of cholesterol decreased. When cheese or egg was replaced by tofu, children ate more of the new dish but when beef or chicken was replaced, they ate more of the original dish( Reference Ashraf, Schoeppel and Nelson 21 ). A simulation analysis in which servings of meat were replaced with tofu has shown that this replacement would increase the intakes of nutrients such as folate, Fe, Ca and Mg by >10 % and lower the intakes of saturated fat, cholesterol, and vitamins B6 and B12. If both meat and dairy products were replaced with soya equivalents (i.e. tofu or soya milk), intakes of fibre, folate, vitamin K, Fe, Ca and Mg would be expected to increase and intakes of saturated fat and cholesterol would decrease( Reference Tucker, Qiao and Maras 22 ). However, concerns regarding compromised nutrient intake in soya consumers have also been raised. With these substitutions, intakes of protein, riboflavin, and vitamins B6 and B12 would be lowered( Reference Ashraf, Schoeppel and Nelson 21 , Reference Tucker, Qiao and Maras 22 ).
Previously published data from the European Prospective Investigation into Cancer and Nutrition (EPIC) study have described soya consumption patterns in Europe( Reference Keinan-Boker, Peeters and Mulligan 23 ). Similarly, Messina and colleagues( Reference Sacks, Lichtenstein and Van Horn 9 , Reference Messina, Nagata and Wu 24 ) analysed intake of soya protein in four Asian nations. However, there are limited data on soya eating habits in North America. Recent reports have suggested that Canadian children do not receive adequate intakes of vitamin D and Ca, and that many adults do not meet the requirements for intakes of Mg, Ca, K, fibre and vitamin D( 25 , 26 ), with all these nutrients being present in high amounts in soya foods. The purpose of the present study was to describe the demographic characteristics of Canadian soya consumers, and to compare the dietary patterns and nutrient profiles of soya consumers with those of non-consumers.
Methods
The present study used the data from the Canadian Community Health Survey, Cycle 2.2 (CCHS 2.2) conducted by Statistics Canada, and methods similar to those used in the previous analysis of bean, pea and lentil consumption patterns( Reference Mudryj, Yu and Hartman 27 ). The CCHS 2.2 was completed in 2004 and targeted respondents from all age groups living in the ten provinces. The main objectives were to collect information on the nutritional status of Canadians and to estimate the distribution of dietary intakes in terms of foods, food groups, dietary supplements, nutrients and eating patterns among a representative sample of Canadians at national and provincial levels using a 24 h dietary recall. A total of 35 107 adults and children completed the initial 24 h dietary recall. Following this, a subsample of 10 786 completed a second recall 3–10 d later. The 24 h dietary recalls were collected primarily by face-to-face interviews by trained interviewers( 28 , 29 ). Further details on the methods used in the CCHS 2.2 are available on the Health Canada Website( 28 ).
Although the main outcome variable was dietary intake, the CCHS 2.2 also collected physical measurements, demographic characteristics and socio-economic data from respondents. The main demographic variables that were examined in the present analysis included sex, age, provincial location and cultural background. Income and education were also examined (for those aged ≥ 19 years), splitting the respondents into four groups based on their household income adequacy or highest level of education attained( 28 , 29 ).
Data for the present analysis were limited to Canadians aged ≥ 2 years (n 33 941). Children under 2 years of age were excluded due to the dramatic change in food sources during the first 2 years of life, and the fact that conventional foods (rather than breast milk-based diets) are introduced into the diet about 2 years of age( Reference Gidding, Dennison and Birch 30 , Reference Devaney, Ziegler and Pac 31 ). Although second-day consumption levels were examined, they only assessed a small subset of the original survey, thus nutrient intake assessments were limited to 1 d recalls only. Respondents who did not report consuming any food, only reported consuming breast milk or whose recalls were considered to be unreliable according to Health Canada were excluded, leaving a total sample size of 33 218. Pregnant and breast-feeding women were included in the present study. Although data on vitamin and mineral supplementation were collected in the CCHS 2.2, the present analysis considers nutrient intakes from food only, which were obtained using values from the Canadian Nutrient File (CNF)( 32 ). Consumers were identified as individuals who had reported eating at least one soya product during their recall period. Food sources included soyabeans, soya beverages, soya flour, soya protein powders and isolates, soya bread, tofu and other fermented products, soya-based dairy products (e.g. cheese and ice cream), and soya-based meat alternatives (e.g. patties or wieners). Respondents who reported soya sauce and soya-based margarines as their only soya consumption were not considered as soya consumers. Thus, soya sauce and soya-based margarines were excluded. The amount of soya protein per 100 g of soya product was calculated using the CNF, the 2001b recipe database and the United States Department of Agriculture (USDA) Food and Nutrient Database for Dietary Studies, version 1.0. The CNF is a continuously updated bilingual database that contains information on 150 nutrients in over 5807 foods, which was utilised by Health Canada to report the nutrient content of the foods reported by the respondents of the CCHS 2.2. The CNF also contains data from the USDA Food and Nutrient Database for Dietary Studies, version 1.0, for corresponding foods (in particular for mixed dishes) as well as comprises modified data that reflect Canadian food supply and unique Canadian dishes( 32 ). Further details on both the CNF database (including information on serving size) and the USDA Food and Nutrient Database are available on their respective web sites( 32 – 34 ). Food group intake data were obtained from the Canada's Food Guide File that contained previously calculated food group servings for each survey respondent( 29 , 33 ).
Soya consumers were divided into three age groups, 2–8 years (n 128), 9–18 years (n 226) and ≥ 19 years (n 731), totalling 1085 soya consumers overall. Consumers in each age group were then further divided into two groups based on the median level of soya protein consumed (in g) in their respective group, resulting in two equal-sized groups of consumers. Soya consumers aged 2–8 years were split into two groups of sixty-four each, those aged 9–18 years into two groups of 113 each, and those aged ≥ 19 years into two groups of 366 and 365 each. Respondents who consumed soya protein in amounts less than the median value were referred to as ‘low consumers’, while those who ate soya protein above the median level were grouped as ‘high consumers’. Logistic regression analysis was used to determine whether any demographic variables (sex, age, cultural background, province of residence, income adequacy and education level) increased the likelihood of being classified as a soya consumer, and OR were calculated. Results are reported as OR with 95 % CI. Data for macronutrient and micronutrient intakes were expressed as absolute values, as well as quantity per 4184 kJ (1000 kcal). General linear models were used to analyse macronutrient and micronutrient intakes and to compare nutrient intakes and other variables between non-consumers and consumers as well as between non-consumers and consumers at each of the two levels of consumption. In addition, similar analyses were conducted for each of the food groups using the data from the CCHS's Canada Food Guide file. The significance level was set at P< 0·05 for differences between groups and 0·05 < P< 0·10 for trends. It is important to note that because the CCHS 2.2 is a population-based survey, results represent population estimates and do not represent individual or chronic dietary exposure.
The bootstrapping method was used in all the data analyses of the present study. This approximation technique is recommended by Statistics Canada for use with the CCHS 2.2 to estimate standard errors, coefficients of variation and CI. Using SUDAAN software, bootstrapping was used to estimate distribution from a sample's statistics and involves the selection of random samples known as replicates and the calculation of the variation in estimates from replicate to replicate( 28 ). All analyses were performed using PASW SPSS Statistics, version 18 (IBM) and SUDAAN Statistical Analysis Software Package, version 10.0.1 (RTI International).
Results
Demographics of Canadian soya consumers
The median age of soya consumers and non-consumers was very similar among all the age groups: for 2- to 8-year-olds, it was 5 years; for 9- to 18-year-olds, it was 15 years for soya consumers and 14 years for non-consumers; for adults ≥ 19 years, it was 47 years for soya consumers and 52 years for non-consumers. Adult females were significantly more likely to consume soya products than male adults (P <0·05), yet females consumed less soya protein overall, regardless of age. Geographically, British Columbia had higher proportions of both paediatric and adult soya consumers than did the rest of Canada. In addition, Ontario youth aged 9–18 years were also more likely to be soya consumers. Ethnicity was also an important factor of soya consumption status, with both adult and paediatric Asian Canadian respondents being significantly more likely to consume soya protein than any other ethnic group (Table 1). In adults, income was not a significant factor of soya consumption status; however, respondents who had completed post-secondary education were more likely to be soya consumers than their counterparts with lower education levels.
NA, not determined.
* Income and education were not examined among the respondents aged < 19 years.
Food sources
On any given day, 3·3 % (95 % CI 3·1, 3·5) of Canadian adults and youths consume soya products. The main sources of soya protein in the adult Canadian diet were as follows: soya flour; tofu products; soya beverages; soya protein isolate; soyabeans; soya meat substitutes; soyabean soups and fermented products; soya cheese and yogurt; and soya bread or cereal products. Canadian youth data showed similar results in terms of the types of soya foods consumed, with the exception that 9- to 18-year-olds consumed less soya flour and more soya beverages than adults (Fig. 1).
Dietary associations of soya protein consumption
In children aged 2–8 years, nutrient intakes differed between soya consumers and non-consumers only when expressed relative to energy intake. Respondents at the highest level of soya protein intake consumed more fibre (29 %), Ca (23 %), Mg (18 %), Fe (14 %) and protein (16 %) per 4184 kJ (1000 kcal) consumed, and had lower intakes of saturated fat at both levels of soya consumption (21 % less in both groups) (Table 2) .
Mean value was significantly different from that of non-consumers: *P< 0·05, **P< 0·01, ***P< 0·001.
† Mean value was different from that of non-consumers (0·1 < P< 0·05; trend).
In Canadian youths aged 9–18 years, high soya consumers ate more food (g; 21 %) and had higher intakes of fibre (25 %), protein (26 %), vitamin B6 (33 %), naturally occurring folate (43 %), pteroyl(mono)glutamic acid (43 %), Ca (34 %), P (21 %), Mg (31 %), Fe (24 %), Zn (25 %) and K (24 %). When nutrient intakes were calculated relative to total energy intake, vitamin B6, Ca and Mg remained significantly higher. Soya consumers aged 9–18 years also had higher intakes of fruits and vegetables and meat and alternatives than their non-consuming counterparts (Table 3) .
Mean value was significantly different from that of non-consumers: *P< 0·05, **P< 0·01, ***P< 0·001.
† Mean value was different from that of non-consumers (0·1 < P< 0·05; trend).
Adult soya consumers in the highest category of soya protein intake consumed 16·5 (se 2·0) g soya protein and had higher intakes of many nutrients. Compared with non-consumers, high soya consumers had 10 % higher energy intakes (kJ/d) and consumed a greater amount of food (g/d) overall. Also, high soya consumers had significantly higher intakes of carbohydrate (9 %), fibre (36 %), PUFA (44 %), linoleic acid (48 %), linolenic acid (32 %), protein (27 %), vitamin C (25 %), thiamin (29 %), vitamin B6 (26 %), naturally occurring folate (33 %), pteroyl(mono)glutamic acid (32 %), Ca (53 %), P 14 %), Mg (32 %), Fe (35 %) and K (15 %). When total energy intake was accounted for, intakes were significantly higher for thiamin, vitamin B6, Ca, P, Mg and Fe in high soya consumers than those in non-consumers, as well as lower for saturated fat ( − 20 %). No major differences were found comparing adult soya consumers in the low-soya consumption group (who consumed on average 1·5 g soya protein) with non-consumers, with the exception of higher fibre/4184 kJ and lower intakes of vitamin D/4184 kJ (Table 4). In terms of food group intake, adult consumers in both soya groups consumed approximately 1 serving greater of fruits and vegetables than their non-consumer counterparts. Respondents with high soya intakes consumed 1·5 servings more of meat and alternatives than both non-consumers and low soya consumers (Table 4).
Mean value was significantly different from that of non-consumers: *P< 0·05, **P< 0·01, ***P< 0·001.
† Mean value was different from that of non-consumers (0·1 < P< 0·05; trend).
Discussion
On any given day, 3·3 % of Canadians consume soya products. This is similar to US data from two 24 h recalls on soya consumption patterns in respondents aged 9–70 years, in which case there were a total of 226 soya products mentioned by 5510 individuals( Reference Tucker, Qiao and Maras 22 ). If it is assumed that each mention was made by separate respondents, the consumption rate using the data from the National Health and Nutrition Examination Survey (NHANES) would be 4·1 %; this is similar to the results of the CCHS 2.2 using both 1 and 2 d recalls (4·2 %, data not shown). In a 1 d recall interview in the EPIC study of the European population, only 1·9 % of respondents consumed soya. However, results from the EPIC study based on sex differences were similar to those in the CCHS 2.2 analysis, with females being more likely to be soya consumers than males( Reference Keinan-Boker, Peeters and Mulligan 23 ). The sex-based difference in consumption patterns may be due to adult females consuming soya products for their hypothesised bone-protective effects( Reference Montgomery 2 , Reference Arjmandi, Khalil and Smith 14 , Reference Messina and Messina 15 ).
Differences between the European and Canadian consumption rates may be attributed to Canada's large Asian population, which is of the order of 10 %, making up approximately 66 % of Canada's visible minority population( 35 ), while Asians represent a much smaller proportion of the European population( 36 ). Indeed, Asian Canadian adults and children were significantly more likely to be soya consumers than any other cultural group, and the province of British Columbia has a high Asian population( 37 ).
Previous studies have suggested that socio-economic status may influence soya consumption patterns( Reference Fang, Tseng and Daly 38 – Reference Liu, Li and Sun 40 ). The present study found that individuals with a higher level of education were more likely to consume soya, consistent with previous research which has shown that the nutrition and health perceptions of soya foods increase with education level( Reference Lee and Park 41 ) and knowledge of soya as a functional food( Reference Wansink and Chan 42 ). Similarly, lack of knowledge (preparation techniques and associated health benefits) has been cited as a hindrance to soya consumption( Reference Schyver and Smith 43 ). Although income level did not influence the consumption of soya products in the present study, research has indicated that the cost of soya foods is a major barrier to soya consumption, particularly among low-income adults( Reference Wenrich and Cason 39 ).
Western soya consumption differs greatly from Asian soya consumption that is higher in ‘traditional’ soya foods such as tofu, tempeh, miso and natto (boiled and fermented soyabeans)( Reference Messina, Nagata and Wu 24 ). The types of soya foods consumed also differed in this cohort when compared with US and European studies. Soya flour (all forms) accounted for more than one-third of the soya products consumed by adults in the CCHS 2.2, while in Europe, it was the third most reported item (grouped with other soya grain products), and did not even appear in the results of the NHANES. In the US population, the most common form of soya consumed was soya sauce (which was excluded in the present study), followed by meat replacement products (which were not highly consumed among Canadians, regardless of age group), soya replacement drinks/bars, soya milk and tofu. Tofu consumption was also more prevalent in Canada than in the USA. Comparably, Western European consumers ate more soya dairy substitutes (milk, cream, drinks, cheese and yogurt)( Reference Tucker, Qiao and Maras 22 , Reference Keinan-Boker, Peeters and Mulligan 23 ).
Canadian soya protein intake averaged between 7 and 14 g/d depending on age and sex. Messina and colleagues( Reference Messina, Nagata and Wu 24 ) observed soya protein consumption in adults in four Asian countries, and found that soya protein intake varied depending on age, sex and region. Older Japanese adults consumed between 6 and 11 g soya protein, while residents of Shanghai had a daily mean soya protein intake of 8·8 g. Conversely, Singapore data show lower soya protein intake ( ≤ 5·1 g/d) among residents.
The present analyses show that Canadians who consume soya products have higher nutrient intakes than non-consumers. Previous simulation analyses predicted that dietary intakes of some nutrients would be increased, while others would be compromised if soya foods replaced milk and meats in the diet( Reference Tucker, Qiao and Maras 22 ). Many soya products are good sources of carbohydrates and soya protein is a high-quality protein source( Reference Montgomery 2 ), which was evidenced in the higher intakes of these macronutrients by adult soya consumers. In their simulation, Tucker et al. ( Reference Tucker, Qiao and Maras 22 ) predicted that replacing milk with a soya dairy beverage would result in greater Mg, Fe and fibre intakes, all of which were observed in the present study, probably due to the fact that soya is rich in these nutrients. Thiamin, which was also found to be significantly higher in the soya consumer group, is also found in soya beverages( Reference Kwok, Liang and Niranjan 44 ), with one cup providing nearly one-fourth of the RDA( 45 ). Tucker's simulation also correctly predicted that replacing meat with soya-based alternatives would lower the intake of saturated fat, which was observed in the present analysis( Reference Tucker, Qiao and Maras 22 ). However, it should be noted that the nutrient composition of soya depends dramatically on the type of soya food( Reference Erdman, Badger and Lampe 46 ). For example, fresh or dried soyabeans, as well as foods made with fermented soya (miso, tempeh and natto), are more nutrient dense and less processed( Reference Slavin, Karr and Hutchins 47 ), while soya foods that are processed at a high temperature (soya patties and other soya-based meat alternatives) may have reduced nutrient quality, such as increased Na( Reference Erdman, Badger and Lampe 46 ) as well as lowered levels of isoflavones( Reference Erdman, Badger and Lampe 46 ). Data from the CNF show that enriching soya milk adds 250 mg more Ca per serving when compared with its unenriched counterpart( 32 ). Additionally, the quality of soya products is affected by the attributes of the soyabean variety as well as by the environmental conditions in which it is grown. For example, soyabean varieties that are higher in P, protein and fat content produce tofu with higher amounts of these nutrients( Reference Lim, DeMan and DeMan 48 ).
In contrast to the concern over the levels of vitamins B6 and B12 due to reduced meat consumption, the present analyses reveal that vitamin B12 intakes were actually higher among soya consumers and vitamin B6 intake was enhanced among adolescent and adult soya consumers. The reason for this is not apparent, as soya foods are not rich in these vitamins, and further research is required to examine this finding. A possible explanation is that individuals with the highest soya intakes consume approximately one more serving from the meat and alternatives food group, which may account for the higher intake of vitamin B6. Another reason that these nutrients are not compromised in soya consumers may be because they are not replacing dairy and meat products with soya substitutes, but rather consuming them in conjunction with each other. For example, an average soya patty contains 14 g soya protein( 49 ), which, if compared with the approximately 16 g soya protein that adult high soya consumers are eating, would probably contribute to the 1·5 more servings of meat and alternatives observed in the present study. However, this can only be speculated because the total amount of soya protein may not be solely attributed to soya-based meat alternatives. The CCHS 2.2 did not account for specific dietary habits or food exclusions (such as vegetarianism). To examine whether soya was consumed as a meat substitute, the 24 h dietary recall of each respondent was examined for the presence of meat products. The analysis showed that 83 % of soya consumers ate at least one meat product on the day of their dietary recall, confirming that the majority of soya and meat items were consumed together, and not as a substitute.
There are several health implications of these results. Only 40 % of Canadians have reported eating five or more servings of fruits and vegetables per d( 50 ). The results from the present study showed that Canadian soya consumers exhibited a higher intake of fruits and vegetables. There have also been concerns raised over sufficient intakes of protein, vitamin B6, vitamin B12, vitamin D, riboflavin, Ca and Fe in vegan or vegetarians( Reference Craig 51 – Reference Tucker 54 ). Although information on specific diets was not gathered in the CCHS 2.2, intake of these nutrients was enhanced in soya consumers who also tend to be meat consumers, suggesting that soya consumption along with meat appears to improve the nutrient status of the diet. Nonetheless, the higher energy intakes and the increased amount of food eaten among soya consumers may be a cause for concern if this increase in intake is sustained over time. Interestingly, BMI did not differ among consumers and non-consumers, nor did physical activity status, with similar proportions of respondents in both groups reporting regular physical activity. As such, it remains unclear as to why soya consumers consume more food yet do not weigh more than non-consumers. Future research involving long-term assessment of soya consumption is required to elucidate this trend.
Another potential benefit of soya consumption may be related to bone health. Although studies have shown conflicting effects of soya isoflavones on bone health, intakes of Mg and Ca were significantly higher among soya consumers of all age groups. A study in Italy using 3 d dietary recalls has found that osteoporotic patients had significantly lower levels of these nutrients than controls (P< 0·05). They showed that Mg intake greater than 350 mg/d was correlated with normal bone mineral content( Reference Tranquilli, Lucino and Garzetti 55 ). In the CCHS 2.2 cohort, soya consumers in the higher intake category attained intakes of Mg greater than 350 mg/d. Individuals with high soya intakes also consumed more than 1200 mg Ca, a value that has been linked with an increased rate of bone mineralisation in pubertal girls( Reference Chan, Hoffman and McMurry 56 ) as well as a decreased risk of osteoporosis and diabetes in women( Reference Kapetanović and Avdić 57 ). In addition, the Framingham Children's Study has observed that children aged >12 years who consumed ≥ 2 servings of dairy products per d coupled with ≥ 4 servings of meat and alternatives had higher bone mineral content in their later teen years( Reference Moore, Bradlee and Gao 58 ), levels of intake that were met by high soya consumers in the age group of 9–18 years. P, which is important for bone health and maintenance, is crucial during puberty due to its role in the growth and formation of bones( Reference Kawaura, Nishida and Takeda 59 , Reference Takeda, Yamamoto and Yamanaka-Okumura 60 ), and was found to be higher in the diets of soya consumers.
With respect to CVD, numerous clinical studies have demonstrated the benefits of diets high in fibre and fruits and vegetables and low in saturated fat( Reference Gidding, Dennison and Birch 30 ), a dietary pattern that was evident in soya consumers. However, even the average high soya consumers did not consume sufficient soya protein to derive the protective cardiovascular effect of soya as specified by the FDA health claim that consumption of 25 g soya protein/d( 7 ) and the increased energy intake associated with soya consumption could be deleterious to cardiovascular health.
As the CCHS 2.2 is a cross-sectional survey, a limitation of the present study is that this 1 d dietary recall may not be a true representation of individual's habitual eating habits, and there is potential for over- or underestimation of soya consumption habits. Additionally, the CCHS 2.2 is a self-reported survey, and non-sampling errors such as non-response, recall bias and social desirability may affect the validity of the results. Although the five-step multiple-pass method utilised during the 24 h dietary recall has been shown to enhance accuracy and assist the respondent in remembering what and how much food they had consumed( Reference Moshfegh, Rhodes and Baer 61 ), it has been reported that the average under-reporting of energy intake in the CCHS 2.2 is estimated at 10 %, with a greater under-reporting rate being observed among respondents who were overweight or obese, adults compared with teenagers and women compared with men( Reference Garriguet 62 ). Additionally, frequency of soya consumption cannot be determined. However, this large survey included 35 107 individuals, providing greater validity to this type of survey. Information was not collected on specific types of diets (i.e. low carbohydrate, vegetarian or vegan), which may have been useful in further observation of the average Canadian soya consumer. The present study only examined food intake and not the use of supplements among the respondents. Furthermore, the cause-and-effect relationship cannot be assumed for these results, as soya consumption may be a constituent of an overall healthier lifestyle. In addition, there are methodological issues that arise when observing small populations, such as soya consumers. The overall number of consumers is low, and when further split to account for age groups, the resulting estimates may exhibit increased variability and as a result be less efficient( Reference Makvandi, Bouchard and Bergeron 63 ). Furthermore, it must be cautioned that nutrient content of various soya products may differ by manufacturer, variety and brand. As the present study relied on values from the CNF database, it should be noted that the accuracy of these databases is not always perfect and nutrient composition may vary from product to product.
Soya consumers have higher intakes of fibre and lower intakes of saturated fat, potentially reducing the risk of CVD. They also have higher intakes of Ca, Mg, P and K, which are crucial in preventing bone loss and maintaining bone health( Reference Tranquilli, Lucino and Garzetti 55 , Reference Kapetanović and Avdić 57 , Reference Kawaura, Nishida and Takeda 59 ). The reasons for the effects of soya consumption on these potential dietary improvements need to be clarified. In particular, the implied increase in energy intake among soya consumers needs to be further explained using long-term studies to determine what dietary habits other than soya consumption are contributing to this pattern.
Acknowledgements
The authors thank Dr Ian Clara and Kelly Cranswick at the Manitoba Research Data Centre for their help and support in the statistical analysis.
The present study was supported by Manitoba Healthy Living, Seniors and Consumer Affairs, which had no role in the design and analysis of the study or in the writing of this article.
The authors’ contributions are as follows: A. N. M., N. Y. and H. M. A. were responsible for the study design; A. N. M. and N. Y. were responsible for the data analyses and interpreting the results; A. N. M., N. Y. and H. M. A. were responsible for the drafting of the manuscript and critical revision. All authors read and approved the final manuscript.
All authors declare that there are no conflicts of interest.