Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains

Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three o...
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Autor*in:	Aprahamian, Hrayer [verfasserIn] Butenko, Sergiy Hunt, Zachary Makovenko, Mykyta Martin, Celine Pardalos, Miltiades Talcott, Stephen

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Linear programming The diet model Fast food Dietary guidelines Healthy diet Nutrition informatics

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Operations research forum - Cham : Springer International Publishing, 2020, 4(2023), 1 vom: 08. März
Übergeordnetes Werk:	volume:4 ; year:2023 ; number:1 ; day:08 ; month:03

Links:	Volltext

DOI / URN:	10.1007/s43069-022-00185-1

Katalog-ID:	SPR049610740

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520			\|a Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus.
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allfields	10.1007/s43069-022-00185-1 doi (DE-627)SPR049610740 (SPR)s43069-022-00185-1-e DE-627 ger DE-627 rakwb eng Aprahamian, Hrayer verfasserin (orcid)0000-0002-6662-9552 aut Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. Linear programming (dpeaa)DE-He213 The diet model (dpeaa)DE-He213 Fast food (dpeaa)DE-He213 Dietary guidelines (dpeaa)DE-He213 Healthy diet (dpeaa)DE-He213 Nutrition informatics (dpeaa)DE-He213 Butenko, Sergiy aut Hunt, Zachary aut Makovenko, Mykyta aut Martin, Celine aut Pardalos, Miltiades aut Talcott, Stephen aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: 08. März (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 day:08 month:03 https://dx.doi.org/10.1007/s43069-022-00185-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 08 03
spelling	10.1007/s43069-022-00185-1 doi (DE-627)SPR049610740 (SPR)s43069-022-00185-1-e DE-627 ger DE-627 rakwb eng Aprahamian, Hrayer verfasserin (orcid)0000-0002-6662-9552 aut Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. Linear programming (dpeaa)DE-He213 The diet model (dpeaa)DE-He213 Fast food (dpeaa)DE-He213 Dietary guidelines (dpeaa)DE-He213 Healthy diet (dpeaa)DE-He213 Nutrition informatics (dpeaa)DE-He213 Butenko, Sergiy aut Hunt, Zachary aut Makovenko, Mykyta aut Martin, Celine aut Pardalos, Miltiades aut Talcott, Stephen aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: 08. März (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 day:08 month:03 https://dx.doi.org/10.1007/s43069-022-00185-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 08 03
allfields_unstemmed	10.1007/s43069-022-00185-1 doi (DE-627)SPR049610740 (SPR)s43069-022-00185-1-e DE-627 ger DE-627 rakwb eng Aprahamian, Hrayer verfasserin (orcid)0000-0002-6662-9552 aut Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. Linear programming (dpeaa)DE-He213 The diet model (dpeaa)DE-He213 Fast food (dpeaa)DE-He213 Dietary guidelines (dpeaa)DE-He213 Healthy diet (dpeaa)DE-He213 Nutrition informatics (dpeaa)DE-He213 Butenko, Sergiy aut Hunt, Zachary aut Makovenko, Mykyta aut Martin, Celine aut Pardalos, Miltiades aut Talcott, Stephen aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: 08. März (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 day:08 month:03 https://dx.doi.org/10.1007/s43069-022-00185-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 08 03
allfieldsGer	10.1007/s43069-022-00185-1 doi (DE-627)SPR049610740 (SPR)s43069-022-00185-1-e DE-627 ger DE-627 rakwb eng Aprahamian, Hrayer verfasserin (orcid)0000-0002-6662-9552 aut Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. Linear programming (dpeaa)DE-He213 The diet model (dpeaa)DE-He213 Fast food (dpeaa)DE-He213 Dietary guidelines (dpeaa)DE-He213 Healthy diet (dpeaa)DE-He213 Nutrition informatics (dpeaa)DE-He213 Butenko, Sergiy aut Hunt, Zachary aut Makovenko, Mykyta aut Martin, Celine aut Pardalos, Miltiades aut Talcott, Stephen aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: 08. März (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 day:08 month:03 https://dx.doi.org/10.1007/s43069-022-00185-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 08 03
allfieldsSound	10.1007/s43069-022-00185-1 doi (DE-627)SPR049610740 (SPR)s43069-022-00185-1-e DE-627 ger DE-627 rakwb eng Aprahamian, Hrayer verfasserin (orcid)0000-0002-6662-9552 aut Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. Linear programming (dpeaa)DE-He213 The diet model (dpeaa)DE-He213 Fast food (dpeaa)DE-He213 Dietary guidelines (dpeaa)DE-He213 Healthy diet (dpeaa)DE-He213 Nutrition informatics (dpeaa)DE-He213 Butenko, Sergiy aut Hunt, Zachary aut Makovenko, Mykyta aut Martin, Celine aut Pardalos, Miltiades aut Talcott, Stephen aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: 08. März (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 day:08 month:03 https://dx.doi.org/10.1007/s43069-022-00185-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2023 1 08 03
language	English
source	Enthalten in Operations research forum 4(2023), 1 vom: 08. März volume:4 year:2023 number:1 day:08 month:03
sourceStr	Enthalten in Operations research forum 4(2023), 1 vom: 08. März volume:4 year:2023 number:1 day:08 month:03
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Linear programming The diet model Fast food Dietary guidelines Healthy diet Nutrition informatics
isfreeaccess_bool	false
container_title	Operations research forum
authorswithroles_txt_mv	Aprahamian, Hrayer @@aut@@ Butenko, Sergiy @@aut@@ Hunt, Zachary @@aut@@ Makovenko, Mykyta @@aut@@ Martin, Celine @@aut@@ Pardalos, Miltiades @@aut@@ Talcott, Stephen @@aut@@
publishDateDaySort_date	2023-03-08T00:00:00Z
hierarchy_top_id	1669255581
id	SPR049610740
language_de	englisch
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author	Aprahamian, Hrayer
spellingShingle	Aprahamian, Hrayer misc Linear programming misc The diet model misc Fast food misc Dietary guidelines misc Healthy diet misc Nutrition informatics Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains
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topic_title	Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains Linear programming (dpeaa)DE-He213 The diet model (dpeaa)DE-He213 Fast food (dpeaa)DE-He213 Dietary guidelines (dpeaa)DE-He213 Healthy diet (dpeaa)DE-He213 Nutrition informatics (dpeaa)DE-He213
topic	misc Linear programming misc The diet model misc Fast food misc Dietary guidelines misc Healthy diet misc Nutrition informatics
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title	Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains
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title_full	Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains
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title_sort	can fast food eating patterns be healthy? an optimization-based analysis of popular us fast-food chains
title_auth	Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains
abstract	Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. Optimization methods are not only useful for determining the acceptability of a menu with respect to given guidelines, but can also be utilized towards developing better dietary guidelines and healthier menus. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains
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up_date	2024-07-04T01:32:43.495Z
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An Optimization-Based Analysis of Popular US Fast-Food Chains</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This paper applies linear programming modeling to determine whether USDA dietary guidelines can be satisfied by an optimal selection of items from the current menus of popular fast-food chains. More specifically, optimization models aiming to determine diets that minimize one of the three objectives (calories from sugars, calories from fat, or sodium consumption), while satisfying the key USDA dietary guidelines are proposed. The models are applied to the menu data of 44 popular fast food restaurants available via Fast Food Nutrition database. A detailed study is performed for 13 age-sex groups specified in USDA guidelines. It is found that only one of the 44 restaurants was found acceptable for each of the 13 age-sex groups, and 10 restaurants were found acceptable for at least one group. Moreover, removing only a small fraction of foods from the combined fast-food menu including all the items from the 44 restaurants eliminates the possibility of designing an acceptable diet based on the remaining menu items. Therefore, it is concluded that the available fast-food options provide very limited opportunities for supporting healthy eating patterns that would satisfy the USDA dietary guidelines. 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