Evaluating Diet Quality of Canadian Adults Using Health Canada’s Surveillance Tool Tier System: Findings from the 2015 Canadian Community Health Survey-Nutrition
Abstract
:1. Introduction
2. Materials and Methods
2.1. Experimental Design
2.2. Subjects
2.3. Classifying Foods in the 24-Hour Dietary Recall According to HCST
2.4. “Other Foods” and Beverages
2.5. Statistics
2.6. Identification of Implausible Reporters
2.7. Approvals
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Global Burden of Disease. Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1736–1788. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization. Noncommunicable Diseases. Available online: http://www.who.int/en/news-room/fact-sheets/detail/noncommunicable-diseases (accessed on 1 October 2019).
- Global Burden of Disease. Causes of Death Collaborators. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017, 390, 1151–1210. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization. Noncommunicable Diseases Progress Monitor. Available online: https://www.who.int/nmh/publications/ncd-progress-monitor-2017/en/ (accessed on 1 October 2019).
- Health Canada (Ed.) The Development and Use of a Surveillance Tool: The Classification of Foods in the Canadian Nutrient File According to Eating Well with Canada’s Food Guide; Health Canada: Ottawa, ON, Canada, 2014. [Google Scholar]
- Jessri, M.; Nishi, S.K.; L’Abbe, M.R. Assessing the Nutritional Quality of Diets of Canadian Adults Using the 2014 Health Canada Surveillance Tool Tier System. Nutrients 2015, 7, 10447–10468. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jessri, M.; Nishi, S.K.; L’Abbe, M.R. Assessing the nutritional quality of diets of Canadian children and adolescents using the 2014 Health Canada Surveillance Tool Tier System. BMC Public Health 2016, 16, 381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- World Health Organization. Nutrient Profiling: A Report of Technical Meeting. Available online: https://www.who.int/nutrition/publications/profiling/WHO_IASO_report2010/en/ (accessed on 1 October 2019).
- Health Canada. Canada’s Food Guide; Health Canada: Ottawa, ON, Canada, 2019. [Google Scholar]
- Statistics Canada. Canadian Community Health Survey-Nutrition (CCHS); Statistics Canada: Ottawa, ON, Canada, 2017. [Google Scholar]
- Health Canada. Reference Guide to Understanding and Using the Data; Health Canada: Ottawa, ON, Canada, 2017; p. 107. [Google Scholar]
- Health Canada. Nutrient Data. Available online: www.canada.ca/en/health-canada/services/food-nutrition/healthy-eating/nutrient-data.html (accessed on 1 October 2019).
- Health Canada. Revision process for Canada’s Food Guide; Health Canada: Ottawa, ON, Canada, 2016. [Google Scholar]
- Jessri, M.; Lou, W.Y.; L’Abbe, M.R. Evaluation of different methods to handle misreporting in obesity research: Evidence from the Canadian national nutrition survey. Br. J. Nutr. 2016, 115, 147–159. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Garriguet, D. Accounting for misreporting when comparing energy intake across time in Canada. Health Rep. 2018, 29, 3–12. [Google Scholar] [PubMed]
- Garriguet, D. Under-reporting of energy intakein the Canadian Community Health Survey. Health Rep. 2008, 19, 37. [Google Scholar] [PubMed]
- McCrory, M.A.; Hajduk, C.L.; Roberts, S.B. Procedures for screening out inaccurate reports of dietary energy intake. Public Health Nutr. 2002, 5, 873–882. [Google Scholar] [CrossRef] [PubMed]
- Goldberg, G.R.; Black, A.E.; Jebb, S.A.; Cole, T.J.; Murgatroyd, P.R.; Coward, W.A.; Prentice, A.M. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur. J. Clin. Nutr. 1991, 45, 569–581. [Google Scholar] [PubMed]
- National Academy Press. Institute of Medicine. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein and Amino Acids; National Academy Press: Washington, DC, USA, 2002. [Google Scholar]
- Health Canada. Sodium Reduction in Processed Foods in Canada: An Evaluation of Progress toward Voluntary Targets from 2012 to 2016; Health Canada: Ottawa, ON, Canada, 2018. [Google Scholar]
- Canadian Food Inspection Agency. Nutrition Labelling; Canadian Food Inspection Agency: Ottawa, ON, Canada, 2019. [Google Scholar]
- World Health Organization. Noncommunicable Diseases and Their Risk Factors; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
- Poon, T.; Labonte, M.E.; Mulligan, C.; Ahmed, M.; Dickinson, K.M.; L’Abbe, M.R. Comparison of nutrient profiling models for assessing the nutritional quality of foods: A validation study. Br. J. Nutr. 2018, 120, 567–582. [Google Scholar] [CrossRef] [PubMed]
- Julia, C.; Hercberg, S. Nutri-Score: Evidence of the effectiveness of the French front-of-pack nutrition label. Sci. Res. 2017, 64, 181–187. [Google Scholar] [CrossRef]
- Public Health England. UK Nutrient Profiling Model 2018 Review. Available online: https://www.gov.uk/government/consultations/consultation-on-the-uk-nutrient-profiling-model-2018-review (accessed on 1 October 2019).
- Reyes, M.; Garmendia, M.L.; Olivares, S.; Aqueveque, C.; Zacarias, I.; Corvalan, C. Development of the Chilean front-of-package food warning label. BMC Public Health 2019, 19, 906. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- National Health and Medical Research Council. About the Australian Dietary Guidelines. Available online: https://www.eatforhealth.gov.au/guidelines/about-australian-dietary-guidelines (accessed on 1 October 2019).
- Ministry of Brazil. Dietary Guidelines for the Brazilian Population; Ministry of Brazil: Brasilia, Brazil, 2014. [Google Scholar]
- Office of Disease Prevention and Health Promotion. Food and Nutrition; Office of Disease Prevention and Health Promotion: Rockville, MD, USA, 2015.
- Nishi, S.K.; Jessri, M.; L’Abbe, M. Assessing the Dietary Habits of Canadians by Eating Location and Occasion: Findings from the Canadian Community Health Survey, Cycle 2.2. Nutrients 2018, 10, 682. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jessri, M.; Wolfinger, R.D.; Lou, W.Y.; L’Abbe, M.R. Identification of dietary patterns associated with obesity in a nationally representative survey of Canadian adults: Application of a priori, hybrid, and simplified dietary pattern techniques. Am. J. Clin. Nutr. 2017, 105, 669–684. [Google Scholar] [CrossRef] [PubMed]
- Jessri, M.; Ng, A.P.; L’Abbe, M.R. Adapting the Healthy Eating Index 2010 for the Canadian Population: Evidence from the Canadian National Nutrition Survey. Nutrients 2017, 9, 910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jessri, M.; Lou, W.Y.; L’Abbe, M.R. The 2015 Dietary Guidelines for Americans is associated with a more nutrient-dense diet and a lower risk of obesity. Am. J. Clin. Nutr. 2016, 104, 1378–1392. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jessri, M.; L’Abbe, A.M. The time for an updated Canada Food Guide has arrived. Appl. Physiol. Nutr. Metab. 2015, 40, 854–857. [Google Scholar] [CrossRef] [PubMed]
Food Groups | Tier | 19–30 Years | 19–30 Years | 31–50 Years | 31–50 Years | 51–70 Years | 51–70 Years | >70 Years | >70 Years |
---|---|---|---|---|---|---|---|---|---|
Males | Females | Males | Females | Males | Females | Males | Females | ||
(Servings/day) | Mean (SEM) | ||||||||
Vegetables and Fruits | Tier 1 | 2.2 (0.2) | 3 (0.2) | 3 (0.2) | 3.5 (0.2) | 3.4 (0.2) | 3.8 (0.1) | 3.5 (0.2) | 3.4 (0.2) |
Tier 2 | 0.9 (0.2) | 0.8 (0.1) | 0.7 (0.1) | 0.7 (0.1) | 0.6 (0.1) | 0.6 (0.1) | 0.7 (0.1) | 0.8 (0.1) | |
Tier 3 | 0.4 (0.1) | 0.5 (0.1) | 0.5 (0.1) | 0.5 (0.1) | 0.5 (0.1) | 0.4 (0.1) | 0.5 (0.1) | 0.4 (0) | |
Tier 4 | 0 (0) | 0.1 (0) | 0 (0) | 0 (0) | 0 (0) | 0.1 (0) | 0 (0) | 0.1 (0) | |
Tiers 1–3 | 3.6 (0.3) | 4.4 (0.2) | 4.2 (0.2) | 4.8 (0.2) | 4.4 (0.2) | 4.9 (0.2) | 4. 7 (0.2) | 4.6 (0.2) | |
Total | Tiers 1–4 | 3.6 (0.3) | 4.4 (0.2) | 4.2 (0.2) | 4.8 (0.2) | 4.5 (0.2) | 4.9 (0.2) | 4.7 (0.2) | 4.7 (0.2) |
EWCFG Rec. | 8–10 | 7–8 | 8–10 | 7–8 | 7 | 7 | 7 | 7 | |
Grain Products | Tier 1 | 1.3 (0.2) | 1.1 (0.1) | 1.1 (0.1) | 1.2 (0.1) | 0.8 (0.1) | 0.9 (0.1) | 0.9 (0.1) | 0.8 (0.1) |
Tier 2 | 3 (0.2) | 3 (0.2) | 3.4 (0.1) | 2.9 (0.1) | 3.4 (0.1) | 2.9 (0.1) | 3.4 (0.1) | 3.2 (0.1) | |
Tier 3 | 0.6 (0.1) | 0.7 (0.1) | 0.6 (0.1) | 0.7 (0.1) | 0.7 (0.1) | 0.8 (0.1) | 0.8 (0.1) | 0.8 (0.1) | |
Tier 4 | 0.3 (0.1) | 0.5 (0.1) | 0.5 (0.1) | 0.5 (0.1) | 0.4 (0.1) | 0.5 (0.1) | 0.5 (0.1) | 0.6 (0.1) | |
Tiers 1–3 | 5.0 (0.3) | 4.8 (0.2) | 5.1 (0.2) | 4.8 (0.2) | 4.9 (0.2) | 4.6 (0.1) | 5.1 (0.2) | 4.9 (0.1) | |
Total | Tiers 1–4 | 5.4 (0.3) | 5.3 (0.2) | 5.6 (0.2) | 5.3 (0.2) | 5.3 (0.2) | 5.1 (0.2) | 5.6 (0.2) | 5.5 (0.2) |
EWCFG Rec. | 8 | 6–7 | 8 | 6–7 | 7 | 6 | 7 | 6 | |
Milk and Alternatives | Tier 1 | 0.1 (0) | 0.1 (0) | 0.1 (0) | 0.2 (0) | 0.2 (0) | 0.2 (0) | 0.2 (0) | 0.2 (0) |
Tier 2 | 0.3 (0.1) | 0.4 (0.1) | 0.3 (0) | 0.4 (0) | 0.3 (0) | 0.4 (0) | 0.5 (0) | 0.4 (0) | |
Tier 3 | 0.9 (0.1) | 1 (0.1) | 0.7 (0.1) | 0.8 (0.1) | 0.7 (0.1) | 0.8 (0.1) | 0.7 (0.1) | 0.9 (0.1) | |
Tier 4 | 0.1 (0) | 0.1 (0) | 0.1 (0) | 0.1 (0) | 0 (0) | 0.1 (0) | 0.1 (0) | 0.1 (0) | |
Tiers 1–3 | 1.3 (0.1) | 1.5 (0.1) | 1.1 (0.1) | 1.4 (0.1) | 1.2 (0.1) | 1.5 (0.1) | 1.4 (0.1) | 1.6 (0.1) | |
Total | Tiers 1–4 | 1.3 (0.1) | 1.6 (0.1) | 1.2 (0.1) | 1.5 (0.1) | 1.2 (0.1) | 1.5 (0.1) | 1.5 (0.1) | 1.7 (0.1) |
EWCFG Rec. | 2 | 2 | 2 | 2 | 3 | 3 | 3 | 3 | |
Meat and Alternatives | Tier 1 | 0.1 (0) | 0.1 (0) | 0.2 (0) | 0.1 (0) | 0.1 (0) | 0.1 (0) | 0.1 (0) | 0.1 (0) |
Tier 2 | 0.6 (0.1) | 0.6 (0.1) | 0.6 (0.1) | 0.6 (0.1) | 0.6 (0.1) | 0.6 (0.1) | 0.4 (0.1) | 0.5 (0.1) | |
Tier 3 | 1.4 (0.2) | 1.1 (0.1) | 1.6 (0.1) | 1.3 (0.1) | 1.6 (0.1) | 1.2 (0.1) | 1.2 (0.1) | 1.1 (0.1) | |
Tier 4 | 0.6 (0.1) | 0.3 (0.1) | 0.3 (0.1) | 0.3 (0.1) | 0.3 (0.1) | 0.3 (0.1) | 0.4 (0.1) | 0.3 (0.1) | |
Tiers 1–3 | 2.4 (0.2) | 1.8 (0.1) | 2.4 (0.1) | 2.0 (0.1) | 2.3 (0.1) | 1.9 (0.1) | 1.7 (0.1) | 1.7 (0.1) | |
Total | Tiers 1–4 | 2.7 (0.2) | 2.1 (0.1) | 2.6 (0.1) | 2.3 (0.1) | 2.6 (0.1) | 2.2 (0.1) | 2.1 (0.1) | 2.0 (0.1) |
EWCFG Rec. | 3 | 2 | 3 | 2 | 3 | 2 | 3 | 2 |
Men, 19–30 Years | Women, 19–30 Years | Men, 31–50 Years | Women, 31–50 Years | Men, 51–70 Years | Women, 51–70 Years | Men, ≥70 Years | Women, ≥70 Years | |
---|---|---|---|---|---|---|---|---|
Variable (kcal/day) | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) |
Tiers 1+2+3 | 1598 (54) | 1169 (34) | 1544 (31) | 1171 (23) | 1435 (27) | 1102 (15) | 1215 (19) | 1015 (18) |
Tiers 4 | 246 (42) | 122 (15) | 175 (12) | 108 (11) | 157 (10) | 118 (7) | 162 (14) | 119 (9) |
Other Food/Beverages | ||||||||
Alcoholic Beverages | 119 (21) | 54 (9) | 121 (12) | 46 (4) | 125 (10) | 72 (8) | 89 (8) | 32 (4) |
Beverages, High calorie (≥40 kcal/100g) | 99 (12) | 51 (6) | 61 (6) | 29 (2) | 38 (3) | 23 (3) | 27 (3) | 20 (3) |
Beverages, Low calorie (<40 kcal/100 g) | 37 (10) | 22 (4) | 24 (2) | 19 (2) | 21 (2) | 16 (2) | 16 (2) | 16 (1) |
High fat and/ or sugar foods | 133 (15) | 113 (8) | 145 (11) | 105 (8) | 128 (7) | 113 (8) | 117 (7) | 86 (5) |
Meal replacements | 4 (3) | 3 (1) | 1(1) | 1 (1) | 2 (1) | 4 (2) | 5 (1) | 3 (1) |
Saturated and/or trans fats and oils | 47 (7) | 36 (6) | 43 (4) | 42 (4) | 47 (4) | 36 (3) | 54 (5) | 37 (2) |
Uncategorized (ingredients, seasonings, and unprepared foods) | 30 (7) | 12 (2) | 19 (3) | 16 (2) | 15 (3) | 11 (1) | 9 (1) | 7 (1) |
Unsaturated fats and oils | 84 (10) | 55 (4) | 74 (4) | 59 (3) | 89 (5) | 62 (3) | 70 (4) | 57 (3) |
Supplements | 6 (3) | 2 (1) | 2 (1) | 4 (1) | 1 (0.4) | 5 (3) | 0.04 (0.04) | 0.47 (0.3) |
Total energy from Tier 4 and “other foods” and beverages (kcal/day) | 681 (62) | 397 (21) | 568 (21) | 350 (14) | 516 (20) | 378 (15) | 464 (19) | 310 (13) |
Total energy from Tier 4 and “other foods” and beverages (%) | 26 (2) | 23 (1) | 24 (1) | 21 (1) | 23(1) | 22(1) | 24 (1) | 21 (1) |
Compliers (Q1) | Intermediates (Q2) | Intermediates (Q3) | Non-Compliers (Q4) | p-Value | |
---|---|---|---|---|---|
<9.95% Energy | 9.95–21.05% Energy | 21.06–34.62% Energy | >34.62% Energy | ||
Nutrients | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) | |
Energy (kcal/day) | 2183 (20.2) | 2269 (19.7) | 2287 (19.8) | 2362 (22.8) | <0.0001 |
Fat (% Energy) | 31.4 (0.4) | 33.3 (0.34) | 33.2 (0.30) | 33.7 (0.37) | <0.0001 |
Saturated fat (% Energy) | 9.3 (0.15) | 10.7 (0.15) | 11.2 (0.15) | 11.5 (0.18) | <0.0001 |
Monounsaturated fat (% Energy) | 12.15 (0.23) | 12.44 (0.14) | 12.41 (0.14) | 12.27 (0.16) | 0.5836 |
Polyunsaturated fat (% Energy) | 7.0 (0.14) | 7.2 (0.17) | 6.8 (0.11) | 7.0 (0.16) | 0.1262 |
Carbohydrates (% Energy) | 48.8 (0.44) | 46.8 (0.4) | 47.1 (0.35) | 44.7 (0.43) | <0.0001 |
Protein (% Energy) | 19.1 (0.25) | 17.7 (0.21) | 15.7 (0.17) | 14.3 (0.16) | <0.0001 |
Alcohol (% Energy) | 0.68 (0.16) | 2.23 (0.2) | 3.96 (0.24) | 7.40 (0.4) | <0.0001 |
Dietary fiber (g/1000 kcal) | 12.1 (0.2) | 9.7 (0.17) | 9.0 (0.13) | 7.1 (0.19) | <0.0001 |
Vitamin A (RE/1000 kcal) | 409 (13) | 384 (16) | 337 (10) | 293 (13) | <0.0001 |
Vitamin D (RE/1000 kcal) | 3.03 (0.10) | 2.86 (0.12) | 2.36 (0.07) | 2.21 (0.09) | <0.0001 |
Thiamin (mg/1000 kcal) | 0.95 (0.02) | 0.88 (0.01) | 0.84 (0.01) | 0.71 (0.01) | <0.0001 |
Niacin (mg/1000 kcal) | 23.46 (0.32) | 22.37 (0.36) | 19.70 (0.21) | 18.46 (0.25) | <0.0001 |
Riboflavin (mg/1000 kcal) | 1.11 (0.02) | 1.08 (0.01) | 1.01 (0.01) | 0.94 (0.01) | <0.0001 |
Vitamin B6 (ug/1000 kcal) | 1.07 (0.02) | 0.94 (0.02) | 0.84 (0.01) | 0.79 (0.02) | <0.0001 |
Folate (ug/1000 kcal) | 141 (3.5) | 121 (2) | 110 (1.8) | 97 (4) | <0.0001 |
Vitamin B12 (ug/1000 kcal) | 2.35 (0.08) | 2.44 (0.10) | 2.05 (0.07) | 1.95 (0.11) | 0.0003 |
Vitamin C (mg/1000 kcal) | 65.30 (2.34) | 56.13 (2.04) | 50.33 (1.90) | 43.32 (3.23) | <0.0001 |
Calcium (mg/1000 kcal) | 471.23 (8.39) | 452.09 (8.61) | 410.44 (6.92) | 341.25 (6.09) | <0.0001 |
Phosphorus (mg/1000 kcal) | 780.75 (9.08) | 720.57 (8.33) | 651.49 (6.77) | 591.97 (7.48) | <0.0001 |
Potassium (mg/ 1000 kcal) | 1700.91 (18.99) | 1534.07 (17.25) | 1424.02 (15.63) | 1263.46 (19.97) | <0.0001 |
Sodium (mg/ 1000 kcal) | 1479.31 (25.81) | 1470.08 (21.14) | 1482.01 (19.44) | 1382.06 (17.49) | 0.0002 |
Magnesium (mg/ 1000 kcal) | 195.31 (2.56) | 174.81 (3.23) | 158.99 (1.19) | 140.76 (2.17) | <0.0001 |
Iron (mg/ 1000 kcal) | 7.49 (0.11) | 6.85 (0.09) | 6.55 (0.07) | 5.66 (0.08) | <0.0001 |
Zinc (mg/ 1000 kcal) | 6.45 (0.10) | 5.92 (0.08) | 5.33 (0.08) | 4.62 (0.08) | <0.0001 |
Compliers (Q1) | Intermediates (Q2) | Intermediates (Q3) | Non-Compliers (Q4) | p- Value | |
---|---|---|---|---|---|
<9.95% Energy | 9.95–21.05% Energy | 21.05–34.65% Energy | >34.65% Energy | ||
Characteristics | Mean (SEM) | Mean (SEM) | Mean (SEM) | Mean (SEM) | |
Age (years) | 50.7 (0.50) | 48.2 (0.59) | 49.6 (0.51) | 49.2 (0.56) | 0.0326 |
Sex (%) | |||||
Males | 47.7 (1.50) | 44.4 (1.60) | 53.5 (1.60) | 55.3 (1.70) | |
Females | 52.4 (1.50) | 55.6 (1.60) | 46.5 (1.60) | 44.7 (1.70) | 0.0001 |
BMI (kg/m2) | 27.5 (0.19) | 27.6 (0.18) | 28.1 (0.19) | 28.4 (0.21) | 0.0031 |
Physical Activity | |||||
Sedentary | 64.2 (1.72) | 63.9 (1.76) | 68 (1.69) | 65.9 (1.75) | 0.2354 |
Active | 18 (1.22) | 18.2 (1.22) | 15.6 (1.12) | 16.9 (1.19) | |
Misreporting | |||||
Under-reporter (%) | 49.8 (1.76) | 34.2 (1.72) | 32 (1.41) | 28.8 (1.53) | <0.0001 |
Over-reporters (%) | 4 (0.37) | 7 (0.76) | 8 (0.64) | 9 (0.76) | |
Smoking Status | |||||
Daily Smoker (%) | 8.7 (0.91) | 13.4 (1.36) | 13.5 (1.20) | 18 (1.35) | <0.0001 |
Never Smoked (%) | 88 (1.19) | 81.8 (1.73) | 81.7 (1.42) | 76.1 (1.53) |
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Hack, S.; Jessri, M.; L’Abbé, M.R. Evaluating Diet Quality of Canadian Adults Using Health Canada’s Surveillance Tool Tier System: Findings from the 2015 Canadian Community Health Survey-Nutrition. Nutrients 2020, 12, 1113. https://doi.org/10.3390/nu12041113
Hack S, Jessri M, L’Abbé MR. Evaluating Diet Quality of Canadian Adults Using Health Canada’s Surveillance Tool Tier System: Findings from the 2015 Canadian Community Health Survey-Nutrition. Nutrients. 2020; 12(4):1113. https://doi.org/10.3390/nu12041113
Chicago/Turabian StyleHack, Salma, Mahsa Jessri, and Mary R. L’Abbé. 2020. "Evaluating Diet Quality of Canadian Adults Using Health Canada’s Surveillance Tool Tier System: Findings from the 2015 Canadian Community Health Survey-Nutrition" Nutrients 12, no. 4: 1113. https://doi.org/10.3390/nu12041113
APA StyleHack, S., Jessri, M., & L’Abbé, M. R. (2020). Evaluating Diet Quality of Canadian Adults Using Health Canada’s Surveillance Tool Tier System: Findings from the 2015 Canadian Community Health Survey-Nutrition. Nutrients, 12(4), 1113. https://doi.org/10.3390/nu12041113