Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method
Background: One of the underpinning elements to support evidence-based decision-making in food and nutrition is the usual dietary intake of a population. It represents the long-run average consumption of a particular dietary component (i.e., food or nutrient). Variations in individual eating habits...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/11/8/1908 |
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| author | Karelyn A. Davis Alejandro Gonzalez Lidia Loukine Cunye Qiao Alireza Sadeghpour Michel Vigneault Kuan Chiao Wang Dominique Ibañez |
| author_facet | Karelyn A. Davis Alejandro Gonzalez Lidia Loukine Cunye Qiao Alireza Sadeghpour Michel Vigneault Kuan Chiao Wang Dominique Ibañez |
| author_sort | Karelyn A. Davis |
| collection | DOAJ |
| description | Background: One of the underpinning elements to support evidence-based decision-making in food and nutrition is the usual dietary intake of a population. It represents the long-run average consumption of a particular dietary component (i.e., food or nutrient). Variations in individual eating habits are observed from day-to-day and between individuals. The National Cancer Institute (NCI) method uses statistical modeling to account for these variations in estimation of usual intakes. This method was originally developed for nutrition survey data in the United States. The main objective of this study was to apply the NCI method in the analysis of Canadian nutrition surveys. Methods: Data from two surveys, the 2004 and 2015 Canadian Community Health Survey—Nutrition were used to estimate usual dietary intake distributions from food sources using the NCI method. The effect of different statistical considerations such as choice of the model, covariates, stratification compared to pooling, and exclusion of outliers were assessed, along with the computational time to convergence. Results: A flowchart to aid in model selection was developed. Different covariates (e.g., age/sex groups, cycle, weekday/weekend of the recall) were used to adjust the estimates of usual intakes. Moreover, larger differences in the ratio of within to between variation for a stratified analysis or a pooled analysis resulted in noticeable differences, particularly in the tails of the distribution of usual intake estimates. Outliers were subsequently removed when the ratio was larger than 10. For an individual age/sex group, the NCI method took 1 h−5 h to obtain results depending on the dietary component. Conclusion: Early experience in using the NCI method with Canadian nutrition surveys data led to the development of a flowchart to facilitate the choice of the NCI model to use. The ability of the NCI method to include covariates permits comparisons between both 2004 and 2015. This study shows that the improper application of pooling and stratification as well as the outlier detection can lead to biased results. This early experience can provide guidance to other researchers and ensures consistency in the analysis of usual dietary intake in the Canadian context. |
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| format | Article |
| id | doaj.art-09de3aa1e7fe4bf28c75c287bb890769 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-04-13T02:41:50Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-09de3aa1e7fe4bf28c75c287bb8907692022-12-22T03:06:10ZengMDPI AGNutrients2072-66432019-08-01118190810.3390/nu11081908nu11081908Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) MethodKarelyn A. Davis0Alejandro Gonzalez1Lidia Loukine2Cunye Qiao3Alireza Sadeghpour4Michel Vigneault5Kuan Chiao Wang6Dominique Ibañez7Bureau of Food Surveillance and Science Integration, Health Canada, Ottawa, ON K1A 0K9, CanadaOffice of Nutrition Policy and Promotion, Health Canada, Ottawa, ON K1A 0L2, CanadaOffice of Nutrition Policy and Promotion, Health Canada, Ottawa, ON K1A 0L2, CanadaBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, ON K1A 0K9, CanadaBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, ON K1A 0K9, CanadaBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, ON K1A 0K9, CanadaBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, ON K1A 0K9, CanadaBureau of Food Surveillance and Science Integration, Health Canada, Ottawa, ON K1A 0K9, CanadaBackground: One of the underpinning elements to support evidence-based decision-making in food and nutrition is the usual dietary intake of a population. It represents the long-run average consumption of a particular dietary component (i.e., food or nutrient). Variations in individual eating habits are observed from day-to-day and between individuals. The National Cancer Institute (NCI) method uses statistical modeling to account for these variations in estimation of usual intakes. This method was originally developed for nutrition survey data in the United States. The main objective of this study was to apply the NCI method in the analysis of Canadian nutrition surveys. Methods: Data from two surveys, the 2004 and 2015 Canadian Community Health Survey—Nutrition were used to estimate usual dietary intake distributions from food sources using the NCI method. The effect of different statistical considerations such as choice of the model, covariates, stratification compared to pooling, and exclusion of outliers were assessed, along with the computational time to convergence. Results: A flowchart to aid in model selection was developed. Different covariates (e.g., age/sex groups, cycle, weekday/weekend of the recall) were used to adjust the estimates of usual intakes. Moreover, larger differences in the ratio of within to between variation for a stratified analysis or a pooled analysis resulted in noticeable differences, particularly in the tails of the distribution of usual intake estimates. Outliers were subsequently removed when the ratio was larger than 10. For an individual age/sex group, the NCI method took 1 h−5 h to obtain results depending on the dietary component. Conclusion: Early experience in using the NCI method with Canadian nutrition surveys data led to the development of a flowchart to facilitate the choice of the NCI model to use. The ability of the NCI method to include covariates permits comparisons between both 2004 and 2015. This study shows that the improper application of pooling and stratification as well as the outlier detection can lead to biased results. This early experience can provide guidance to other researchers and ensures consistency in the analysis of usual dietary intake in the Canadian context.https://www.mdpi.com/2072-6643/11/8/1908nutritionnutrition surveysusual dietary intakeepisodically consumed foodsdietary surveillanceCanadian Community Health SurveyNational Cancer Institute method |
| spellingShingle | Karelyn A. Davis Alejandro Gonzalez Lidia Loukine Cunye Qiao Alireza Sadeghpour Michel Vigneault Kuan Chiao Wang Dominique Ibañez Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method Nutrients nutrition nutrition surveys usual dietary intake episodically consumed foods dietary surveillance Canadian Community Health Survey National Cancer Institute method |
| title | Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method |
| title_full | Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method |
| title_fullStr | Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method |
| title_full_unstemmed | Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method |
| title_short | Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey—Nutrition Using the National Cancer Institute (NCI) Method |
| title_sort | early experience analyzing dietary intake data from the canadian community health survey nutrition using the national cancer institute nci method |
| topic | nutrition nutrition surveys usual dietary intake episodically consumed foods dietary surveillance Canadian Community Health Survey National Cancer Institute method |
| url | https://www.mdpi.com/2072-6643/11/8/1908 |
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