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

Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes. 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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of nutrition 2017-05, Vol.147 (5), p.908-931
Hauptverfasser: Grieger, Jessica A, Johnson, Brittany J, Wycherley, Thomas P, Golley, Rebecca K
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 931
container_issue 5
container_start_page 908
container_title The Journal of nutrition
container_volume 147
creator Grieger, Jessica A
Johnson, Brittany J
Wycherley, Thomas P
Golley, Rebecca K
description Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes. 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. 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. 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. 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.
doi_str_mv 10.3945/jn.116.245027
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1887424377</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1961801787</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-858316f3f6e63bedfd680ec4459fd242842ef693ed44009d115b545d400880923</originalsourceid><addsrcrecordid>eNpdkc1PGzEQxS0EIiHtsVdkiQuXTccf6_VyQzRApABS055Xzu64OGx2U9sblP--jkJ76Gn0NL950ptHyBcGU1HK_Ou6mzKmplzmwIsTMma5ZJliAKdkDMB5JphSI3IRwhoAmCz1ORlxLUFqIcZkP9uZdjDR9R3tLV26zdAe1VPfYBtofDWRzkJ0GxMxKaQza7GOB_qbw2j8ni6jT8tfDgNNh89D9O5gYVo676J5wxt6S5f7EDF5uJp-x53D90_kzJo24OePOSE_72c_7h6zxcvD_O52kdVCQcx0rlMCK6xCJVbY2EZpwFrKvLQNlykJR6tKgY2UAGXDWL7KZd4koTWUXEzI9dF36_vfA4ZYbVyosW1Nh_0QKqZ1IbkURZHQq__QdT_4lCNRpWIaWKEPVHakat-H4NFWW5--4_cVg-rQSbXuqtRJdewk8ZcfrsNqg80_-m8J4g-co4Zx</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1961801787</pqid></control><display><type>article</type><title>Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Grieger, Jessica A ; Johnson, Brittany J ; Wycherley, Thomas P ; Golley, Rebecca K</creator><creatorcontrib>Grieger, Jessica A ; Johnson, Brittany J ; Wycherley, Thomas P ; Golley, Rebecca K</creatorcontrib><description>Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes. 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. 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. 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. 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.</description><identifier>ISSN: 0022-3166</identifier><identifier>EISSN: 1541-6100</identifier><identifier>DOI: 10.3945/jn.116.245027</identifier><identifier>PMID: 28404833</identifier><language>eng</language><publisher>United States: American Institute of Nutrition</publisher><subject>Body weight ; Computer simulation ; Criteria ; Diet ; Diet - standards ; Effects ; Estimation ; Evidence-based medicine ; Fatty acids ; Feeding Behavior ; Food ; Guidelines ; Humans ; Mathematical models ; Modelling ; Models, Biological ; Nutrients ; Nutrition ; Nutritional Physiological Phenomena ; Nutritive Value ; Promotion ; Reviews ; Simulation ; Sodium ; Sugar ; Systematic review ; Vegetables ; Weight</subject><ispartof>The Journal of nutrition, 2017-05, Vol.147 (5), p.908-931</ispartof><rights>2017 American Society for Nutrition.</rights><rights>Copyright American Institute of Nutrition May 1, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-858316f3f6e63bedfd680ec4459fd242842ef693ed44009d115b545d400880923</citedby><cites>FETCH-LOGICAL-c360t-858316f3f6e63bedfd680ec4459fd242842ef693ed44009d115b545d400880923</cites><orcidid>0000-0003-1515-948X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28404833$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grieger, Jessica A</creatorcontrib><creatorcontrib>Johnson, Brittany J</creatorcontrib><creatorcontrib>Wycherley, Thomas P</creatorcontrib><creatorcontrib>Golley, Rebecca K</creatorcontrib><title>Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review</title><title>The Journal of nutrition</title><addtitle>J Nutr</addtitle><description>Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes. 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. 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. 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. 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.</description><subject>Body weight</subject><subject>Computer simulation</subject><subject>Criteria</subject><subject>Diet</subject><subject>Diet - standards</subject><subject>Effects</subject><subject>Estimation</subject><subject>Evidence-based medicine</subject><subject>Fatty acids</subject><subject>Feeding Behavior</subject><subject>Food</subject><subject>Guidelines</subject><subject>Humans</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>Models, Biological</subject><subject>Nutrients</subject><subject>Nutrition</subject><subject>Nutritional Physiological Phenomena</subject><subject>Nutritive Value</subject><subject>Promotion</subject><subject>Reviews</subject><subject>Simulation</subject><subject>Sodium</subject><subject>Sugar</subject><subject>Systematic review</subject><subject>Vegetables</subject><subject>Weight</subject><issn>0022-3166</issn><issn>1541-6100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkc1PGzEQxS0EIiHtsVdkiQuXTccf6_VyQzRApABS055Xzu64OGx2U9sblP--jkJ76Gn0NL950ptHyBcGU1HK_Ou6mzKmplzmwIsTMma5ZJliAKdkDMB5JphSI3IRwhoAmCz1ORlxLUFqIcZkP9uZdjDR9R3tLV26zdAe1VPfYBtofDWRzkJ0GxMxKaQza7GOB_qbw2j8ni6jT8tfDgNNh89D9O5gYVo676J5wxt6S5f7EDF5uJp-x53D90_kzJo24OePOSE_72c_7h6zxcvD_O52kdVCQcx0rlMCK6xCJVbY2EZpwFrKvLQNlykJR6tKgY2UAGXDWL7KZd4koTWUXEzI9dF36_vfA4ZYbVyosW1Nh_0QKqZ1IbkURZHQq__QdT_4lCNRpWIaWKEPVHakat-H4NFWW5--4_cVg-rQSbXuqtRJdewk8ZcfrsNqg80_-m8J4g-co4Zx</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Grieger, Jessica A</creator><creator>Johnson, Brittany J</creator><creator>Wycherley, Thomas P</creator><creator>Golley, Rebecca K</creator><general>American Institute of Nutrition</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1515-948X</orcidid></search><sort><creationdate>20170501</creationdate><title>Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review</title><author>Grieger, Jessica A ; Johnson, Brittany J ; Wycherley, Thomas P ; Golley, Rebecca K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-858316f3f6e63bedfd680ec4459fd242842ef693ed44009d115b545d400880923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Body weight</topic><topic>Computer simulation</topic><topic>Criteria</topic><topic>Diet</topic><topic>Diet - standards</topic><topic>Effects</topic><topic>Estimation</topic><topic>Evidence-based medicine</topic><topic>Fatty acids</topic><topic>Feeding Behavior</topic><topic>Food</topic><topic>Guidelines</topic><topic>Humans</topic><topic>Mathematical models</topic><topic>Modelling</topic><topic>Models, Biological</topic><topic>Nutrients</topic><topic>Nutrition</topic><topic>Nutritional Physiological Phenomena</topic><topic>Nutritive Value</topic><topic>Promotion</topic><topic>Reviews</topic><topic>Simulation</topic><topic>Sodium</topic><topic>Sugar</topic><topic>Systematic review</topic><topic>Vegetables</topic><topic>Weight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grieger, Jessica A</creatorcontrib><creatorcontrib>Johnson, Brittany J</creatorcontrib><creatorcontrib>Wycherley, Thomas P</creatorcontrib><creatorcontrib>Golley, Rebecca K</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grieger, Jessica A</au><au>Johnson, Brittany J</au><au>Wycherley, Thomas P</au><au>Golley, Rebecca K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review</atitle><jtitle>The Journal of nutrition</jtitle><addtitle>J Nutr</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>147</volume><issue>5</issue><spage>908</spage><epage>931</epage><pages>908-931</pages><issn>0022-3166</issn><eissn>1541-6100</eissn><abstract>Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes. 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. 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. 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. 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.</abstract><cop>United States</cop><pub>American Institute of Nutrition</pub><pmid>28404833</pmid><doi>10.3945/jn.116.245027</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0003-1515-948X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0022-3166
ispartof The Journal of nutrition, 2017-05, Vol.147 (5), p.908-931
issn 0022-3166
1541-6100
language eng
recordid cdi_proquest_miscellaneous_1887424377
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Body weight
Computer simulation
Criteria
Diet
Diet - standards
Effects
Estimation
Evidence-based medicine
Fatty acids
Feeding Behavior
Food
Guidelines
Humans
Mathematical models
Modelling
Models, Biological
Nutrients
Nutrition
Nutritional Physiological Phenomena
Nutritive Value
Promotion
Reviews
Simulation
Sodium
Sugar
Systematic review
Vegetables
Weight
title Evaluation of Simulation Models that Estimate the Effect of Dietary Strategies on Nutritional Intake: A Systematic Review
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T07%3A33%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20of%20Simulation%20Models%20that%20Estimate%20the%20Effect%20of%20Dietary%20Strategies%20on%20Nutritional%20Intake:%20A%20Systematic%20Review&rft.jtitle=The%20Journal%20of%20nutrition&rft.au=Grieger,%20Jessica%20A&rft.date=2017-05-01&rft.volume=147&rft.issue=5&rft.spage=908&rft.epage=931&rft.pages=908-931&rft.issn=0022-3166&rft.eissn=1541-6100&rft_id=info:doi/10.3945/jn.116.245027&rft_dat=%3Cproquest_cross%3E1961801787%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1961801787&rft_id=info:pmid/28404833&rfr_iscdi=true