Literature DB >> 28404833

Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review.

Jessica A Grieger1, Brittany J Johnson1, Thomas P Wycherley2,3, Rebecca K Golley4,3.   

Abstract

Background: Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes.
Objectives: The study aims were to undertake a systematic review of simulation studies that model dietary strategies aiming to improve nutritional intake, body weight, and related chronic disease, and to assess the methodologic and reporting quality of these models.
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guided the search strategy with studies located through electronic searches [Cochrane Library, Ovid (MEDLINE and Embase), EBSCOhost (CINAHL), and Scopus]. Study findings were described and dietary modeling methodology and reporting quality were critiqued by using a set of quality criteria adapted for dietary modeling from general modeling guidelines.
Results: Forty-five studies were included and categorized as modeling moderation, substitution, reformulation, or promotion dietary strategies. Moderation and reformulation strategies targeted individual nutrients or foods to theoretically improve one particular nutrient or health outcome, estimating small to modest improvements. Substituting unhealthy foods with healthier choices was estimated to be effective across a range of nutrients, including an estimated reduction in intake of saturated fatty acids, sodium, and added sugar. Promotion of fruits and vegetables predicted marginal changes in intake. Overall, the quality of the studies was moderate to high, with certain features of the quality criteria consistently reported.Conclusions: Based on the results of reviewed simulation dietary modeling studies, targeting a variety of foods rather than individual foods or nutrients theoretically appears most effective in estimating improvements in nutritional intake, particularly reducing intake of nutrients commonly consumed in excess. A combination of strategies could theoretically be used to deliver the best improvement in outcomes. Study quality was moderate to high. However, given the lack of dietary simulation reporting guidelines, future work could refine the quality tool to harmonize consistency in the reporting of subsequent dietary modeling studies.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  dietary modeling; dietary scenarios; dietary strategies; reporting quality; simulation modeling

Mesh:

Year:  2017        PMID: 28404833     DOI: 10.3945/jn.116.245027

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  13 in total

1.  Increasing low-energy-dense foods and decreasing high-energy-dense foods differently influence weight loss trial outcomes.

Authors:  M Vadiveloo; H Parker; H Raynor
Journal:  Int J Obes (Lond)       Date:  2017-12-07       Impact factor: 5.095

Review 2.  Modelling health and economic impact of nutrition interventions: a systematic review.

Authors:  Mariska Dötsch-Klerk; Maaike J Bruins; Patrick Detzel; Janne Martikainen; Reyhan Nergiz-Unal; Annet J C Roodenburg; Ayla Gulden Pekcan
Journal:  Eur J Clin Nutr       Date:  2022-10-04       Impact factor: 4.884

3.  Applications of Complex Systems Models to Improve Retail Food Environments for Population Health: A Scoping Review.

Authors:  Megan R Winkler; Yeeli Mui; Shanda L Hunt; Melissa N Laska; Joel Gittelsohn; Melissa Tracy
Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

4.  Simulation Modeling for the Economic Evaluation of Population-Based Dietary Policies: A Systematic Scoping Review.

Authors:  Karl M F Emmert-Fees; Florian M Karl; Peter von Philipsborn; Eva A Rehfuess; Michael Laxy
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 8.701

5.  Assessing the impact of replacing foods high in saturated fats with foods high in unsaturated fats on dietary fat intake among Canadians.

Authors:  Stéphanie Harrison; Simone Lemieux; Benoît Lamarche
Journal:  Am J Clin Nutr       Date:  2022-03-04       Impact factor: 7.045

6.  Modifications in the Consumption of Energy, Sugar, and Saturated Fat among the Mexican Adult Population: Simulation of the Effect When Replacing Processed Foods that Comply with a Front of Package Labeling System.

Authors:  Rosario Mendoza; Lizbeth Tolentino-Mayo; Lucia Hernández-Barrera; Claudia Nieto; Eric A Monterrubio-Flores; Simón Barquera
Journal:  Nutrients       Date:  2018-01-19       Impact factor: 5.717

7.  Comparing the Nutritional Impact of Dietary Strategies to Reduce Discretionary Choice Intake in the Australian Adult Population: A Simulation Modelling Study.

Authors:  Jessica A Grieger; Brittany J Johnson; Thomas P Wycherley; Rebecca K Golley
Journal:  Nutrients       Date:  2017-05-03       Impact factor: 5.717

8.  Contribution of Discretionary Foods and Drinks to Australian Children's Intake of Energy, Saturated Fat, Added Sugars and Salt.

Authors:  Brittany J Johnson; Lucinda K Bell; Dorota Zarnowiecki; Anna M Rangan; Rebecca K Golley
Journal:  Children (Basel)       Date:  2017-12-01

9.  Understanding and use of food labeling systems among Whites and Latinos in the United States and among Mexicans: Results from the International Food Policy Study, 2017.

Authors:  Claudia Nieto; Alejandra Jáuregui; Alejandra Contreras-Manzano; Edna Arillo-Santillan; Simón Barquera; Christine M White; David Hammond; James F Thrasher
Journal:  Int J Behav Nutr Phys Act       Date:  2019-10-17       Impact factor: 6.457

10.  The impact of food reformulation on nutrient intakes and health, a systematic review of modelling studies.

Authors:  Carlo Federici; Patrick Detzel; Francesco Petracca; Livia Dainelli; Giovanni Fattore
Journal:  BMC Nutr       Date:  2019-01-07
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