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Protein consumption in Canadian habitual diets: usual intake, inadequacy, and the contribution of animal- and plant-based foods to nutrient intakes

Publication: Applied Physiology, Nutrition, and Metabolism20 November 2020https://doi.org/10.1139/apnm-2020-0760

Abstract

The 2019 Canada’s Food Guide (CFG) emphasizes consumption of plant protein with implications for protein adequacy and nutrient intakes, yet a baseline with which to compare future dietary trends that may result from its adoption is not available. The objectives were to assess usual protein intake, inadequacy, and the contribution of animal- and plant-based foods to intake of protein, nutrients, and energy in Canada. Twenty-four-hour dietary recalls from the 2015 Canadian Community Health Survey – Nutrition were used to assess dietary intake among adults (n = 13 616). The National Cancer Institute method was used to estimate usual protein intake and inadequacy. Population ratios were used to determine the contribution of animal- and plant-based foods to intake of protein, nutrients, and energy. Usual protein intake averaged 79.47 ± 0.70 g/d; inadequacy was highest for females ≥71 y (9.76 ± 2.04%). Top protein contributors were red and processed meat (21.6 ± 0.55%), poultry and eggs (20.1 ± 0.81%), cereals, grains, and breads (19.5 ± 0.31%), and dairy (16.7 ± 0.38%). Dairy contributed most to calcium (53.4 ± 0.61%), vitamin D (38.7 ± 1.01%), but also saturated fat (40.6 ± 0.69%), whereas cereals, grains, and breads contributed most to iron (46.5 ± 0.57%) and vegetables and fruit to potassium (32 ± 0.45%). Given that animal sources contributed overwhelmingly to protein intake in 2015, dietary shifts towards plant protein needed to meet the 2019 CFG recommendations may pose a challenge, particularly for populations most at risk of inadequacy.
Novelty:
Older adults and females are most at risk of not meeting protein recommendations.
Animal sources contribute two-thirds of the protein consumed by Canadian adults.

Graphical Abstract

Résumé

Le Guide alimentaire canadien (« CFG ») 2019 met l’accent sur la consommation de protéines végétales, ce qui a des répercussions sur l’adéquation des protéines et les apports en éléments nutritifs, mais il n’existe pas de base de référence avec laquelle comparer les tendances alimentaires futures qui pourraient résulter de son adoption. Les objectifs sont d’évaluer l’apport habituel en protéines, l’insuffisance et la contribution des aliments d’origine animale et végétale à l’apport en protéines, en nutriments et en énérgie au Canada. Les rappels alimentaires de 24 heures de l’Enquête sur la santé dans les collectivités canadiennes − Nutrition 2015 sont utilisés pour évaluer l’apport alimentaire chez les adultes (n = 13 616). La méthode de l’Institut national du cancer est utilisée pour estimer l’apport et l’insuffisance habituels. Les ratios de population sont utilisés pour déterminer la contribution des aliments d’origine animale et végétale à l’apport en protéines, nutriments et énergie. L’apport protéique habituel est en moyenne de 79,47 ± 0,70 g/jour ; l’inadéquation est la plus élevée chez les femmes ≥ 71 ans (9,76 ± 2,04 %). Les principaux contributeurs en protéines sont la viande rouge et transformée (21,6 ± 0,55 %), la volaille et les œufs (20,1 ± 0,81 %), les céréales, les grains et le pain (19,5 ± 0,31 %) et les produits laitiers (16,7 ± 0,38 %). Les produits laitiers contribuent le plus au calcium (53,4 ± 0,61 %), à la vitamine D (38,7 ± 1,01 %), mais aussi aux gras saturés (40,6 ± 0,69 %), tandis que les céréales, les grains et le pain contribuent le plus au fer (46,5 ± 0,57 %) et légumes et fruits au potassium (32 ± 0,45 %). Étant donné que les sources animales contribuent largement à l’apport en protéines en 2015, les changements alimentaires vers les protéines végétales requises pour répondre aux recommandations du CFG 2019 peuvent représenter un défi, en particulier pour les populations les plus à risque d’insuffisance. [Traduit par la Rédaction].
Les nouveautés :
Les personnes âgées et les femmes sont les plus à risque de ne pas satisfaire aux recommandations en matière de protéines.
Les sources animales contribuent aux deux tiers des protéines consommées par les adultes canadiens.

Introduction

Protein consumption has important implications for nutrition, human health, and environmental sustainability. The Dietary Reference Intakes (DRIs) express protein recommendations as the Estimated Average Requirement (EAR) and the Acceptable Macronutrient Distribution Range (AMDR), which do not vary by age or sex for individuals aged ≥19 y (Institute of Medicine 2006). The EAR is the median daily intake of protein needed to meet the needs of half the healthy individuals in a particular life stage and age-sex group, which is set at 0.66 g/kg of body weight (BW)/d. The AMDR is the range of calories, expressed as a percentage of total energy intake, that is associated with a lower risk of chronic disease while providing adequate intake of a macronutrient. For protein, the AMDR is set at 10 to 35% of total energy intake. Data from the United States National Health and Nutrition Examination Survey (NHANES) 2011–2014 revealed that usual protein intake among American adults averaged 80 g/d and 16% of total energy intake (Berryman et al. 2018). The percent of total energy intake from protein averaged 17% for Canadian adults in 2015 (Statistics Canada 2017b). However, information pertaining to inadequate protein intake, which is determined by the percentage of the population below the EAR (Institute of Medicine 2006), is currently lacking.
Animal- and plant-based foods differ in their quantity and quality of protein and content of other essential nutrients. Animal protein is deemed high quality because it provides all 9 essential amino acids and is more bioavailable compared with plants (Institute of Medicine 2006; Lonnie et al. 2018). Consuming plant-based protein sources with complementary amino acid profiles (Arentson-Lantz et al. 2015; Gardner et al. 2019) is encouraged to ensure adequate intake of all essential amino acids, particularly for vegetarians (Institute of Medicine 2006). Commonly consumed animal- and plant-based protein sources also supply a range of essential nutrients (Phillips et al. 2015), some of which are deemed of public health concern in Canada (calcium, vitamin D, iron, and potassium) as individuals fall below recommendations (Health Canada 2014). However, they also confer nutrients to limit (sodium, added sugars, and saturated fat), among which animal-based protein sources contribute significantly to intake of saturated fat, a nutrient that is often scrutinized for its putative harmful association with cardiovascular health (Health Canada 2019b). The choice of protein source is an important determinant of human health, as epidemiological studies have shown that high intakes of plant protein are inversely associated with cardiometabolic indicators and mortality (Lin et al. 2015; Song et al. 2016). Yet, there is also evidence that replacement of protein from red and processed meats with that from other animal sources such as fish, poultry, and low-fat dairy products may help lower cardiometabolic risk factors (Zhubi-Bakija et al. 2020). Moreover, animal sources have a substantially greater carbon footprint than plants per gram of protein (Carlsson-Kanyama and Gonzalez 2009; Pimentel and Pimentel 2003; Sabaté et al. 2014). However, modeling studies have demonstrated that partial replacement of animal-based foods with plant-based alternatives resulted in lower carbon footprint diets that included moderate amounts of nutrient dense animal-source foods (Macdiarmid et al. 2012; Seves et al. 2017). Despite the importance of dietary protein sources to human and planetary health, the respective contribution of animal- and plant-based foods to total protein intake in Canadian habitual diets is unknown.
In January 2019, Health Canada published the first revamp of the nation’s food guide in over a decade. The new Canada’s Food Guide (hereafter referred to as the 2019 CFG) encourages largely plant-based diets, including vegetables and fruit, whole grains, and protein foods. Although the guide does not provide a definition for protein foods, emphasis is placed on consuming protein from plants more often (Health Canada 2019b). At present, the implications of the 2019 CFG on intakes of shortfall nutrients is not known, yet available evidence raises concern as to its nutritional adequacy. Barr (2019) estimated the nutrient content of foods in the food guide snapshot based on a standard 2000 kcal diet and found that the percent Daily Value was not met for calcium, vitamin D, and potassium. Moreover, a recent report on a scientific expert meeting identified knowledge gaps brought about by the new protein foods group, including protein inadequacy among vulnerable populations and intake of other essential nutrients by Canadians (Fernandez et al. 2020). To assess the implications of the 2019 CFG’s protein recommendations, it is important to first characterize protein intake trends in Canadian habitual diets as a baseline with which to compare future dietary shifts. In particular, estimating the contribution of animal- and plant-based foods to intake of protein and other nutrients may help define targets to shape public policy interventions aimed at meeting current dietary guidance. Therefore, the primary objective of this study was to assess usual protein intake and inadequacy for adults using data from the 2015 Canadian Community Health Survey (CCHS) – Nutrition. The secondary objective was to determine the contribution of animal- and plant-based foods to intake of protein and nutrients, particularly nutrients of public health concern and to limit.

Materials and methods

2015 CCHS – Nutrition

The CCHS is a nationally representative cross-sectional survey that collects information regarding Canadians’ health status, health determinants, and utilization of the healthcare system that is administered on a yearly basis (Health Canada 2017a). The survey is a multi-stage, clustered design to ensure a sample representative of the Canadian population with respect to age, sex, geography, and socioeconomic status. The CCHS targets individuals aged ≥1 y residing in the 10 provinces and excludes members of the Canadian Forces and individuals residing in the Territories, Aboriginal settlements, or institutions.
The 2015 CCHS – Nutrition (n = 20 487) is the second of 2 nutrition-focused surveys (the first having been conducted in 2004) that employed 24-hour dietary recalls to collect information pertaining to the foods and beverages consumed by respondents in the previous 24 hours, from midnight to midnight (Health Canada 2017a). The Automated Multiple Pass Method was used to facilitate respondents’ recollection and reporting of foods in their 24-hour dietary recalls. Interviews were administered in-person, year-round, and on all days of the week (including weekends). The response rate for the 2015 CCHS – Nutrition was 61.6%. Just over one-third of respondents were randomly selected to complete a second non-consecutive 24-hour dietary recall by telephone to be used for estimating distributions of usual intake. The recall day was identified by a variable in the CCHS (SUPPID). Information pertaining to respondents’ weight and height, physical activity, chronic health conditions, sociodemographic characteristics, and supplement intake was also collected. Measures of body weight and height were obtained provided the consent of survey participants. However, 30% of respondents were asked to self-report because they either refused or were not physically able to have their weight and height measured (e.g., could not stand unassisted). In addition, the 18-item United States Household Food Security Survey Module was employed to assess the food security status of Canadian households. The module included questions pertaining to whether respondents worried about running out of food, went an entire day without eating, and had to cut the size of their meals or skip them completely (Health Canada 2020). Respondents were classified as food secure, moderately food insecure, and severely food insecure by Statistics Canada. For the purpose of this study, respondents were classified as food secure or food insecure (moderately and severely combined).
Participants aged <19 y (n = 6568; 32.06% of sample), pregnant (n = 116; 0.57% of sample), and breastfeeding (n = 187; 0.91% of sample) women were excluded due to differing protein requirements (Institute of Medicine 2006). Intake of vitamins and minerals from supplements were excluded to obtain estimates of nutrient intakes from foods alone. Although this may lead to underestimations of total nutrient intakes, dietary guidelines emphasize getting nutrients from foods as opposed to supplements (Health Canada 2017b). The final sample size was 13 616. Access to the 2015 CCHS – Nutrition Master Files was granted by Statistics Canada (project no. 18-SSH-MCG-5516). Population surveys conducted by Statistics Canada were granted ethical approval under the authority of the Statistics Act of Canada.

Classification of animal- and plant-based foods

The Canadian Nutrient File, Canada's reference food composition database, was used by Statistics Canada to link foods and beverages reported in the 2015 CCHS – Nutrition to their nutrient profiles (Health Canada 2018). The Bureau of Nutritional Sciences (BNS) food and recipe groups are a set of codes developed by Health Canada to categorize foods reported in the 24-hour dietary recalls to analyze diet composition and the contribution of select foods and beverages to total nutrient intakes (Statistics Canada 2017a). BNS food codes were used to classify foods and beverages into the following categories: 1) cereals, grains, and breads, 2) vegetables and fruit, 3) nuts, seeds, and legumes, 4) dairy, 5) poultry and eggs, 6) red and processed meat, 7) fish and shellfish, and 8) miscellaneous foods and beverages. All foods reported in the CCHS were accounted for, including basic foods and recipe ingredients, as well as processed and unprocessed foods, to align with foods in the 2019 CFG. The Nutrition Survey System food codes were used to classify plant-based beverages (BNS food code: 10J). For example, rice beverage was assigned to cereals, grains, and breads, whereas soy, almond, cashew, and coconut beverages were assigned to nuts, seeds, and legumes. BNS food codes used to classify foods and beverages are in Supplementary Table S1.1

Estimation of usual protein intake

The 24-hour dietary recalls capture detailed information regarding food and beverage consumption; however, they are not necessarily representative of individuals’ usual or long-term dietary intake, which fluctuates from day-to-day (Krebs-Smith et al. 2010). This intra-individual variation can lead to over- or under-estimation of nutrient intakes (Davis et al. 2019). Since dietary recommendations are meant to be met over the long-term, usual intakes are an important consideration in the analysis of nationally representative nutrition survey data (National Cancer Institute 2018). The National Cancer Institute (NCI) method is recommended by Health Canada and Statistics Canada for estimating usual intakes with the 2015 CCHS – Nutrition (Health Canada 2017a). The NCI method uses statistical modeling to estimate the distribution of usual intake for nutrients and foods using data from 2 non-consecutive 24-hour dietary recalls (National Cancer Institute 2018). The NCI method fits a 2-part statistical model that considers both the probability of consumption on a given day and the amount consumed. For ubiquitously consumed foods in which less than 10% of recalls reported zero intake (cereals, grains, and breads, vegetables and fruit, dairy, and miscellaneous), the 1-part or amount-only model was used (Krebs-Smith et al. 2010). For episodically consumed foods in which more than 10% of recalls reported zero intake (nuts, seeds, and legumes, poultry and eggs, red and processed meat, and fish and shellfish), the 2-part model was used. Age, sex, and nuisance effects (i.e., weekend and recall sequence) were used as covariates in all models.

Prevalence of usual protein intake below DRIs

The NCI method was used to estimate usual protein intake in absolute (g/d) and relative amounts (g/kg of BW/d). A subsample of respondents with measured anthropometry (n = 9175) was used to discern the percent of the population below the EAR for protein, since it is expressed as 0.66 g/kg of BW/d. Similar to the method of Berryman et al. (2018), protein was expressed as g/kg of ideal BW (IBW)/d for respondents whose body mass index (BMI) (in kg/m2; calculated based on measured weight and height) was below 18.5 (underweight) or above 24.9 (overweight). Equations for IBW were taken from Peterson et al. (2016). Specifically, for males and females whose measured BMI was <18.5, IBW (kg) = 2.2 × (18.5) + 3.5 × (18.5) × (measured height in m − 1.5 m). For males and females whose measured BMI was >24.9, IBW (kg) = 2.2 × (24.9) + 3.5 × (24.9) × (measured height in m − 1.5 m). Usual protein intake as a percent of total energy was derived by dividing total protein intake (g) by total energy intake (kcal) and multiplying by 100; this was used to determine the prevalence of the population below the lower (10%) and upper bounds (35%) of the AMDR for the entire sample.

Contribution of foods to intake of protein, nutrients, and energy

Population ratios, which have been shown to provide better estimates of population usual intakes in contrast to other methods (Kirkpatrick et al. 2019), were used to determine the percent contribution of foods to protein, nutrients of concern, nutrients to limit, and energy, as done previously by our group (Auclair et al. 2019). Nutrients of public health concern are defined based on a significant proportion of the population falling below the EAR (10%), as well as biomarker data and clinical signs of deficiency (Health Canada 2014). In Canada, these nutrients are calcium, vitamin D, iron, and potassium. The 2019 CFG considers sodium, added sugars, and saturated fat nutrients to limit due to evidence linking their excess consumption to increased risk of chronic disease (Health Canada 2019c). Population ratios were also used to assess the contribution of single food categories to protein intake from each of the animal- and plant-based food groupings, as well as total protein and total energy.

Statistical analyses

For the percent of the population below DRIs, significant differences among age-sex groups were identified by the z statistic. Descriptive statistics were generated using SUDAAN software version 11.0.1 (RTI International, Durham, N.C., USA). PROC CROSSTAB was used to determine demographic characteristics, PROC DESCRIPT was used to estimate mean 1-d intakes for nutrients and energy, and PROC RATIO was used to calculate population ratios. Sample weights, calculated and assigned to each respondent by Statistics Canada, correspond to the number of individuals within the population represented by that respondent. The sample weights have a related bootstrap weight file, which is recommended for use with the CCHS to account for its complex multi-stage sampling frame. Both sample and bootstrap weights were applied in SUDAAN to obtain representative estimates for the Canadian population and to calculate confidence intervals around point estimates, respectively. All statistical analyses were performed using SAS software version 9.3 (SAS Institute Inc., Cary, N.C., USA) and SAS-callable SUDAAN software available at the McGill−Concordia Laboratory of the Quebec Inter-University Centre for Social Statistics. Alpha was set at 0.05 for all statistical tests.

Results

Protein intake and inadequacy

The final sample was split evenly among males and females. The majority of respondents were 31–50 y of age (∼38%), Caucasian (∼74%), food secure (∼92%), had some post-secondary education (∼34%), a yearly household income of $CAD <50 000/y (∼34%), and exercised more than 150 min/week (∼55%) (Table 1). Differences among demographic characteristics for the final sample compared with the subsample with measured anthropometrics (n = 9175) were considered negligible (±1%) and are not reported. For all age-sex groups combined, mean usual protein intake was 79.47 ± 0.70 g/d, 1.20 ± 0.01 g/kg of BW/d (expressed as g/kg of IBW/d for those with a BMI outside the range of 18.5 and 24.9), and 16.96 ± 0.11% of total energy intake. Overall, 3.11 ± 0.95% of the population were below the EAR for protein (Table 2). Protein inadequacy (% below the EAR) was higher for females compared with males and increased with age (males ≥71 y vs. 19–30 y: +3.18%; females ≥71 y vs. 19–30 y: +8.15%). The highest proportion of adults below the EAR was females aged ≥71 y, which was different from that of males in the same age bracket (+6.01; P = 0.007). The proportion of respondents that were below the lower bound of the AMDR was <0.5% and did not differ among age-sex groups. All respondents fell below the upper bound of the AMDR.
Table 1.
Table 1. Demographic characteristics of the study sample from the 2015 Canadian Community Health Survey – Nutrition (n = 13 616).
Table 2.
Table 2. Percent below DRIs and mean usual intake for protein by age and sex for Canadian adults (≥19 y) from the 2015 Canadian Community Health Survey – Nutrition.

Contribution of foods to intake of protein, nutrients, and energy

Mean usual intake of protein from animal- and plant-based foods are in Fig. 1. Usual intake (in g/d) was highest for red and processed meat (17.45 ± 0.44), followed by poultry and eggs (16.06 ± 0.48), cereals, grains, and breads (15.46 ± 0.17), and dairy (13.28 ± 0.25). Usual intake for all remaining food groupings was 4 to 5 g/d each.
Fig. 1.
Fig. 1. Mean (±SE) usual intake of protein from animal- and plant-based foods among Canadian adults (≥19 y) from the 2015 Canadian Community Health Survey – Nutrition (n = 13 616).
The contribution of animal- and plant-based foods to total protein intake is in Fig. 2. Sixty-four percent of total protein intake derived from animal-source foods, ∼30% from plant-based foods, and the remaining ∼6% from miscellaneous foods and beverages. Top sources of protein were red and processed meat, poultry and eggs, and cereals, grains, and breads (each ∼20%), followed by dairy (∼17%). All remaining food groupings each contributed roughly 5% to total protein intake.
Fig. 2.
Fig. 2. Percent contribution of protein from animal- and plant-based foods to total protein among Canadian adults (≥19 y) based on 1-d intakes from the 2015 Canadian Community Health Survey – Nutrition. Values are percentage (%) based on population ratios (n = 13 616).
The contribution of animal- and plant-based foods to intake of nutrients of concern, nutrients to limit, and energy are in Table 3. Dairy contributed the most to intakes of calcium (∼53%), vitamin D (∼39%), and saturated fat (∼41%), whereas cereals, grains, and breads contributed most to iron (∼47%) and vegetables and fruit to potassium (∼32%). Most sodium (∼45%) and total sugars (∼46%) derived from miscellaneous foods and beverages. Poultry and eggs contributed ∼9% to intakes of vitamin D and ∼8% to saturated fat. Despite contributing ∼11% to total iron intake, red and processed meat was also a source of sodium (∼11%) and saturated fat (∼15%). Fish and shellfish contributed nearly one-fifth of total vitamin D intake. The contribution of nuts, seeds, and legumes to nutrient intakes ranged between ∼2% (vitamin D) and ∼7% (iron).
Table 3.
Table 3. Mean 1-d intakes and percent contribution of animal- and plant-based foods to intakes of nutrients of concern, nutrients to limit, and energy among Canadian adults (≥19 y) from the 2015 Canadian Community Health Survey – Nutrition (n = 13 616).

Contribution of single food categories to intake of protein and energy

The contribution of single food categories to intake of protein from animal- and plant-based foods, total protein, and total energy are in Table 4 and Table 5, respectively. Food categories were ranked based on their contribution to protein intake from each of the food groupings; food categories that accounted for <1% of protein intake was considered negligible and thus were not reported. Cheese (>10% milk fat) and milk (2% milk fat) accounted for two-thirds of protein intake from dairy (n = 12 food categories) and 1 to 4% for total protein and energy intake. Chicken and eggs contributed 73 and 21% to protein intake from poultry and eggs (n = 5), respectively, whereas chicken alone contributed 13% to total protein and 4% to energy intake. Beef contributed nearly half of protein from red and processed meat (n = 10), as well as 10% to total protein and 3% to energy intake. Half of protein intake from fish and shellfish (n = 3) derived from fish containing <6% total fat, which contributed <2% to total protein and energy intake.
Table 4.
Table 4. Percent contribution of individual food categories to intake of protein from animal-based foods, total protein, and total energy among Canadian adults (≥19 y) based on 1-d intakes from the 2015 Canadian Community Health Survey – Nutrition (n = 13 616).
Table 5.
Table 5. Percent contribution of individual food categories to intake of protein from plant-based protein foods, total protein, and total energy among Canadian adults (≥19 y) based on 1-d intakes from the 2015 Canadian Community Health Survey – Nutrition (n = 13 616).
Half of protein intake from cereals, grains, and breads (n = 11) derived from an array of food categories, including cereal grains and flours, rolls, bagels, pita bread, croutons, dumplings, matzo, tortilla, and white bread, altogether contributing <5% to total protein and energy. The largest contributors to protein intake from vegetables and fruit (n = 21) were potatoes and tomatoes (17 and 13%, respectively), together accounting for <2% of total protein and energy. Nuts, nut spreads, and legumes contributed three-quarters to protein intake from nuts, seeds, and legumes (n = 8), whereas their contribution to total protein and energy intake was <3%. Food categories constituting miscellaneous foods and beverages contributed negligible amounts of protein (≤1% to total protein intake), but most to total energy intake (∼29%) and are reported in Supplementary Table S2.1 The largest contributor to protein intake from miscellaneous foods and beverages was meal replacements (∼19%), followed by soups without vegetables and beer (each ∼9%).

Discussion

Given the recent changes to the 2019 CFG that place emphasis on plant protein, population diet studies are necessary to provide information as to which nutrient-rich protein sources Canadians should be incorporating into their diets (Fernandez et al. 2020). The present study addressed many of the uncertainties and knowledge gaps that arose from the introduction of the new protein foods group in the 2019 CFG, particularly protein intake and inadequacy in the Canadian population with a particular focus on animal- and plant-based foods. Based on our findings, most Canadians were in line with protein recommendations except for females aged ≥71 y, who had the highest prevalence of inadequacy. Moreover, two-thirds of Canadians’ total protein intake derived from animal-based foods for which dairy was a top source of nutrients of concern (calcium and vitamin D) and a nutrient to limit (saturated fat).
Despite assumptions of protein adequacy in the Canadian population (Fernandez et al. 2020), our findings confirm that older adults are most at risk of not meeting recommendations. The percent of the population below the EAR for protein was similar to the pattern observed in the United States (Berner et al. 2013; Berryman et al. 2018; Phillips et al. 2015). Phillips et al. (2016) proposed that higher protein intake within the range of 1.2 to 1.6 g/kg of BW/d may help promote healthy ageing, appetite control, and weight management. For the elderly, higher protein intake may prevent sarcopenia, a disease characterized by the progressive loss of muscle mass and strength that leads to impaired physical function, frailty, and mortality (Cruz-Jentoft and Sayer 2019; Phillips et al. 2016). Current protein requirements based on nitrogen balance studies may underestimate actual requirements, especially for the elderly population (Phillips et al. 2016). As food intake decreases with age (Berner et al. 2013), the body resorts to utilizing protein for energy; since energy to protein ratios are highest for individuals with the lowest energy requirements, sedentary elderly women with higher BMIs are likely to have higher protein requirements compared with other demographics (Nowson and O’Connell 2015). The 2019 CFG may encourage Canadians to consume more protein-rich foods, but the lack of suggested serving sizes and age- and sex-specific recommendations limits its usefulness, particularly for those most at risk of falling below the EAR.
Total protein intake from animal-source foods was more than double that contributed by plant-based foods, similar to observations in the United States and United Kingdom (Berner et al. 2013; Lonnie et al. 2018; Phillips et al. 2015). We found that chicken and beef alone contributed the most to total protein intake, whereas protein from plant sources derived from a wider range of food categories, albeit contributing relatively little protein. Similarly, data from NHANES 2007–2010 revealed that chicken and beef contributed one-quarter of protein intake from animal sources and 13% of total protein intake (Pasiakos et al. 2015). We also found that cheese and fluid milk were the top dairy sources of total protein, although cheeses contributing the most protein were also particularly high in fat (>25% and 10 to 25% milk fat). Among plant-based foods, cereals, grains, and breads contributed the most to total protein intake. However, top sources were refined products as opposed to whole grain food categories. One analysis using data from the 2015 CCHS – Nutrition classified respondents into clusters based on their consumption of grain-based foods and found that only 8% of Canadian adults followed a ‘Whole Wheat & Whole-Grain Bread’ dietary pattern (Hosseini et al. 2019), which did not align with recommendations to consume most grains as whole (Health Canada 2011, 2019b). Although nuts, seeds, and legumes have a higher overall protein content compared with other plant-based foods, they are consumed in smaller quantities and thus contributed negligible amounts to total protein intake. Although current dietary guidance promotes consumption of protein from plants more often, particularly from sources exemplified by this group (Health Canada 2019a), our findings revealed that Canadians obtained relatively little protein from nuts, seeds, and legumes compared with animal-based foods and even cereals, grains, and breads. Substantial shifts in Canadian dietary patterns are required to increase the prominence of plant-based protein from a variety of sources, particularly from nuts, seeds, and legumes, as recommended in the 2019 CFG.
One of the major knowledge gaps regarding population-wide protein intake in Canada is the contribution of various protein sources to intakes of nutrients of public health concern (Fernandez et al. 2020). Our findings show that dairy contributed the most to intake of calcium and vitamin D, cereals, grains, and breads to intake of iron, and vegetables and fruit to intake of potassium. In the United States, animal-based protein sources contributed greater amounts of iron, zinc, vitamin B12, and phosphorus compared with plant sources, which contributed more dietary fibre, vitamin E, and magnesium (Phillips et al. 2015). Our previous work showed that milk and alternatives contributed 53% of calcium and 39% of vitamin D in Canadian habitual diets, in addition to a range of other essential nutrients (Auclair et al. 2019). In Canada, mandatory fortification of milk with vitamin D under the Food and Drugs Act (Health Canada 1999) explains its contribution to intake of this nutrient. Diet modeling of NHANES 2003–2006 revealed that it would be difficult to replace nutrients from dairy with non-dairy foods (Fulgoni et al. 2011). For example, replacing the calcium from dairy with a non-dairy calcium composite (either fortified soy-based beverage or orange juice, bony fish, or leafy greens) would result in lower overall intake of protein, total fat, vitamin B12, riboflavin, phosphorus, zinc, saturated fat, and sodium, whereas intake of magnesium, potassium, and vitamin A would increase, with no change in vitamin D. Based on our results, there is concern as to whether dietary shifts aligning with those in the 2019 CFG, particularly with regards to protein foods, may further compromise intake of certain nutrients of public health concern provided no changes in the mandatory fortification of foods or additional dietary guidance.
Animal- and plant-based foods also contributed to intake of nutrients to limit. Our results show that dairy was the top source of saturated fat, which was 2 and a half times that contributed by red and processed meat. The 2019 CFG encourages the replacement of foods that are high in saturated fat with foods containing unsaturated fat as a means of promoting cardiovascular health (Health Canada 2019b). A similar rationale was proposed in the World Health Organization’s draft guidelines on saturated fat. However, Astrup et al. (2019) argue that the type of saturated fatty acid and the food matrix are both critical factors for informing dietary recommendations. Substantial evidence points to an inverse association between plant protein and cardiometabolic health (Mariotti 2019; Song et al. 2016), which have also been shown to have a lesser environmental impact than animal protein (Auestad and Fulgoni 2015). Therefore, the type of animal- and plant-based protein making up habitual diets is fundamental in addressing human and planetary health in tandem.
Strengths of this study include the use of data from a nationally representative survey and the estimation of usual protein intake using the NCI method. Moreover, to our knowledge, this is the first study to provide estimates of protein inadequacy in the Canadian population. However, limitations include the self-reported nature of 24-hour dietary recalls, which are prone to bias through misreporting. However, according to Garriguet (2018), energy misreporting was not a major source of bias in the 2015 CCHS – Nutrition. Furthermore, the 2019 CFG does not yet provide a definition for protein foods; therefore, we used examples in the guide to broadly classify all foods and beverages reported in the CCHS into animal- and plant-based food groupings. Although protein recommendations are based on consumption of high-quality protein (WHO/FAO/UNU Expert Consultation 2007), there is a lack of data pertaining to protein quality for foods based on the Digestible Indispensable Amino Acid Score (Hodgkinson et al. 2020). At present, there is insufficient information to assess the influence of protein quality on protein inadequacy. Moreover, the degree of detail with which we categorized foods was limited (e.g., grouping eggs with poultry) due to the computationally intensive nature of the NCI method (Davis et al. 2019). Finally, since the Canadian Nutrient File does not distinguish between total and free sugars, the present analysis accounts solely for total sugars, despite recommendations in the 2019 CFG that are geared towards free sugars.
In conclusion, most Canadian adults were in line with the DRIs for protein; however, special attention should be warranted to older adults and females who were more prone to fall short of requirements. Except for cereals, grains, and breads, the majority of protein intake was derived from animal-based foods. Yet, animal sources were not top contributors of nutrients of concern, with the exception of dairy, which also contributed significant amounts of saturated fat. Moreover, miscellaneous foods and beverages contributed negligible amounts of protein but were top sources of sodium and total sugars. Based on Canadian habitual diets in 2015, our results show that major adjustments are needed to meet the recommendations in the 2019 CFG, specifically regarding the shift towards plant-based protein foods. Despite the guide’s holistic approach to healthy eating, such transitions may pose implications on future prevalence of inadequacy for protein and nutrients of concern in Canada, particularly for older adults and females.

Conflict of interest statement

S.A.B. received grant support from Dairy Farmers of Canada outside of this work. O.A. declares no conflict of interest.

Author contributions

O.A. and S.A.B. designed research; O.A. conducted research; O.A. analyzed data; O.A. performed statistical analyses; O.A. and S.A.B. wrote the paper; S.A.B. had primary responsibility for final content. All authors read and approved the final manuscript.

Acknowledgements

The analysis presented in this paper was conducted at the McGill−Concordia Laboratory of the QICSS, which is part of the Canadian Research Data Centre Network (CRDCN). The services and activities provided by the McGill−Concordia Laboratory of the QICSS are made possible by the financial or in-kind support of the Social Sciences and Humanities Research Council, the Canadian Institutes of Health Research, the Canadian Foundation for Innovation, Statistics Canada, and McGill University. The views expressed in this paper do not necessarily represent that of CRDCN or its partners. The authors would like to thank Didier Garriguet from Statistics Canada for his advice and guidance regarding the estimation of usual intakes using the NCI method. The authors would also like to thank Danielle Forest from Statistics Canada at the McGill−Concordia Laboratory of the Quebec Inter-University Centre for Social Statistics for processing vetting requests. O.A. was recipient of the Margaret A. Gilliam Fellowship in Food Security.

Footnote

1
Supplementary data are available with the article at https://doi.org/10.1139/apnm-2020-0760.

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Supplementary Material

Supplementary data (apnm-2020-0760suppla.docx)

Information & Authors

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Published In

Applied Physiology, Nutrition, and Metabolism cover image
Applied Physiology, Nutrition, and Metabolism
Volume 46Number 5May 2021
Pages: 501 - 510

History

Received: 31 August 2020
Accepted: 17 November 2020
Published online: 20 November 2020

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Key Words

  1. habitual diet
  2. dietary intake
  3. nationally representative survey
  4. 24-hour dietary recall
  5. Canadian Community Health Survey
  6. Canada’s Food Guide

Mots-clés

  1. régime habituel
  2. apport alimentaire
  3. enquête représentative à l’échelle nationale
  4. rappel alimentaire de 24 heures
  5. Enquête sur la santé dans les collectivités canadiennes
  6. Guide alimentaire canadien

Authors

Affiliations

Olivia Auclair
Department of Animal Science, McGill University, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.
Sergio A. Burgos sergio.burgos@mcgill.ca
Department of Animal Science, McGill University, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.
Department of Medicine, McGill University, Montréal, Québec, Canada.
Metabolic Disorders and Complications Program, Research Institute of McGill University Health Centre, Montréal, Québec, Canada.

Notes

Copyright remains with the author(s) or their institution(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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