title: Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review.
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.
authors.affiliation: School of Pharmacy and Medical Sciences.
authors.forename: Jessica A
authors.identifier: 0000-0003-1515-948X
authors.initials: JA
authors.lastname: Grieger
authors.affiliation: School of Pharmacy and Medical Sciences.
authors.forename: Brittany J
authors.initials: BJ
authors.lastname: Johnson
authors.affiliation: School of Health Sciences, and.|Sansom Institute for Health Research, University of South Australia, Adelaide, Australia.
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Wycherley
authors.affiliation: School of Pharmacy and Medical Sciences, rebecca.golley@unisa.edu.au.|Sansom Institute for Health Research, University of South Australia, Adelaide, Australia.
authors.forename: Rebecca K
authors.initials: RK
authors.lastname: Golley
mesh_terms: D004032:Diet / Q000592:standards*; D005247:Feeding Behavior; D006801:Humans; D008954:Models, Biological; D009747:Nutritional Physiological Phenomena; D009753:Nutritive Value
keywords: dietary modeling; dietary scenarios; dietary strategies; reporting quality; simulation modeling