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...
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Veröffentlicht in: | The Journal of nutrition 2017-05, Vol.147 (5), p.908-931 |
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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 |
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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 & Medical Complete (Alumni)</collection><collection>Nursing & 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> |
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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 |
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