The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method

Background/Objectives: The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a...

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Veröffentlicht in:European journal of clinical nutrition 2011-07, Vol.65 (S1), p.S87-S91
Hauptverfasser: Harttig, U, Haubrock, J, Knüppel, S, Boeing, H
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container_title European journal of clinical nutrition
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creator Harttig, U
Haubrock, J
Knüppel, S
Boeing, H
description Background/Objectives: The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package. Subjects/Methods: The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented. Results: We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at https://nugo.dife.de/msm . The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide. Conclusions: The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). It promotes simple access to the MSM to estimate usual food intake for individuals and populations.
doi_str_mv 10.1038/ejcn.2011.92
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Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package. Subjects/Methods: The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented. Results: We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at https://nugo.dife.de/msm . The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide. Conclusions: The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). 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The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide. Conclusions: The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). 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Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package. Subjects/Methods: The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented. Results: We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at https://nugo.dife.de/msm . 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subjects 631/114/2415
631/114/794
631/443/319/1488
692/700/478/174
Algorithms
Analysis
Biological and medical sciences
Biometry - methods
Catalysts
Clinical Nutrition
Consumers
Diet
Diet - statistics & numerical data
Diet Records
Diet Surveys - methods
Dietary intake
Epidemiology
Estimating techniques
Feeding Behavior
Feeding. Feeding behavior
Food
Food cans
Food consumption
Food intake
Fundamental and applied biological sciences. Psychology
Humans
Internal Medicine
Internet
Measurement
Medical sciences
Medicine
Medicine & Public Health
Metabolic Diseases
Models, Statistical
Multiuser systems
original-article
Parameter identification
Perl
Public Health
Software
Statistical analysis
Statistical methods
Statistics
Statistics as Topic - methods
Vertebrates: anatomy and physiology, studies on body, several organs or systems
Websites
World Wide Web
title The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method
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