Can fast food eating patterns be healthy? : an optimization-based analysis of popular US fast-food chains
Gespeichert in:
| Autor*in: |
Aprahamian, Hrayer [verfasserIn] Butenko, Sergiy - 1977- [verfasserIn] Hunt, Zachary [verfasserIn] Makovenko, Mykyta [verfasserIn] Martin, Celine [verfasserIn] Pardalos, Miltiades [verfasserIn] Talcott, Stephen [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Operations research forum - Cham : Springer International Publishing, 2020, 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 |
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| Übergeordnetes Werk: |
volume:4 ; year:2023 ; number:1 ; month:03 ; elocationid:18 ; pages:1-57 |
| Links: |
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| DOI / URN: |
10.1007/s43069-022-00185-1 |
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| Katalog-ID: |
184528982X |
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| 982 | |2 26 |1 00 |x DE-206 |b 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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10.1007/s43069-022-00185-1 doi (DE-627)184528982X (DE-599)KXP184528982X (DE-He213)s43069-022-00185-1-e DE-627 ger DE-627 rda eng Aprahamian, Hrayer verfasserin aut Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains Hrayer Aprahamian, Sergiy Butenko, Zachary Hunt, Mykyta Makovenko, Celine Martin, Miltiades Pardalos, Stephen Talcott 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dietary guidelines (dpeaa)DE-206 Fast food (dpeaa)DE-206 Healthy diet (dpeaa)DE-206 Linear programming (dpeaa)DE-206 Nutrition informatics (dpeaa)DE-206 The diet model (dpeaa)DE-206 Butenko, Sergiy 1977- verfasserin (DE-588)1054310718 (DE-627)791278905 (DE-576)410126543 aut Hunt, Zachary verfasserin aut Makovenko, Mykyta verfasserin aut Martin, Celine verfasserin (DE-588)1292875690 (DE-627)1850309922 aut Pardalos, Miltiades verfasserin aut Talcott, Stephen verfasserin aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 Online-Ressource (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 month:03 elocationid:18 pages:1-57 https://link.springer.com/content/pdf/10.1007/s43069-022-00185-1.pdf?pdf=button Verlag lizenzpflichtig https://doi.org/10.1007/s43069-022-00185-1 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_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 4 2023 1 3 18 1-57 AR 4 2023 1 3 18 1-57 26 01 0206 4321175283 x1z 12-05-23 26 00 DE-206 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. |
| spelling |
10.1007/s43069-022-00185-1 doi (DE-627)184528982X (DE-599)KXP184528982X (DE-He213)s43069-022-00185-1-e DE-627 ger DE-627 rda eng Aprahamian, Hrayer verfasserin aut Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains Hrayer Aprahamian, Sergiy Butenko, Zachary Hunt, Mykyta Makovenko, Celine Martin, Miltiades Pardalos, Stephen Talcott 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dietary guidelines (dpeaa)DE-206 Fast food (dpeaa)DE-206 Healthy diet (dpeaa)DE-206 Linear programming (dpeaa)DE-206 Nutrition informatics (dpeaa)DE-206 The diet model (dpeaa)DE-206 Butenko, Sergiy 1977- verfasserin (DE-588)1054310718 (DE-627)791278905 (DE-576)410126543 aut Hunt, Zachary verfasserin aut Makovenko, Mykyta verfasserin aut Martin, Celine verfasserin (DE-588)1292875690 (DE-627)1850309922 aut Pardalos, Miltiades verfasserin aut Talcott, Stephen verfasserin aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 Online-Ressource (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 month:03 elocationid:18 pages:1-57 https://link.springer.com/content/pdf/10.1007/s43069-022-00185-1.pdf?pdf=button Verlag lizenzpflichtig https://doi.org/10.1007/s43069-022-00185-1 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_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 4 2023 1 3 18 1-57 AR 4 2023 1 3 18 1-57 26 01 0206 4321175283 x1z 12-05-23 26 00 DE-206 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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10.1007/s43069-022-00185-1 doi (DE-627)184528982X (DE-599)KXP184528982X (DE-He213)s43069-022-00185-1-e DE-627 ger DE-627 rda eng Aprahamian, Hrayer verfasserin aut Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains Hrayer Aprahamian, Sergiy Butenko, Zachary Hunt, Mykyta Makovenko, Celine Martin, Miltiades Pardalos, Stephen Talcott 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dietary guidelines (dpeaa)DE-206 Fast food (dpeaa)DE-206 Healthy diet (dpeaa)DE-206 Linear programming (dpeaa)DE-206 Nutrition informatics (dpeaa)DE-206 The diet model (dpeaa)DE-206 Butenko, Sergiy 1977- verfasserin (DE-588)1054310718 (DE-627)791278905 (DE-576)410126543 aut Hunt, Zachary verfasserin aut Makovenko, Mykyta verfasserin aut Martin, Celine verfasserin (DE-588)1292875690 (DE-627)1850309922 aut Pardalos, Miltiades verfasserin aut Talcott, Stephen verfasserin aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 Online-Ressource (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 month:03 elocationid:18 pages:1-57 https://link.springer.com/content/pdf/10.1007/s43069-022-00185-1.pdf?pdf=button Verlag lizenzpflichtig https://doi.org/10.1007/s43069-022-00185-1 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_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 4 2023 1 3 18 1-57 AR 4 2023 1 3 18 1-57 26 01 0206 4321175283 x1z 12-05-23 26 00 DE-206 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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10.1007/s43069-022-00185-1 doi (DE-627)184528982X (DE-599)KXP184528982X (DE-He213)s43069-022-00185-1-e DE-627 ger DE-627 rda eng Aprahamian, Hrayer verfasserin aut Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains Hrayer Aprahamian, Sergiy Butenko, Zachary Hunt, Mykyta Makovenko, Celine Martin, Miltiades Pardalos, Stephen Talcott 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dietary guidelines (dpeaa)DE-206 Fast food (dpeaa)DE-206 Healthy diet (dpeaa)DE-206 Linear programming (dpeaa)DE-206 Nutrition informatics (dpeaa)DE-206 The diet model (dpeaa)DE-206 Butenko, Sergiy 1977- verfasserin (DE-588)1054310718 (DE-627)791278905 (DE-576)410126543 aut Hunt, Zachary verfasserin aut Makovenko, Mykyta verfasserin aut Martin, Celine verfasserin (DE-588)1292875690 (DE-627)1850309922 aut Pardalos, Miltiades verfasserin aut Talcott, Stephen verfasserin aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 Online-Ressource (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 month:03 elocationid:18 pages:1-57 https://link.springer.com/content/pdf/10.1007/s43069-022-00185-1.pdf?pdf=button Verlag lizenzpflichtig https://doi.org/10.1007/s43069-022-00185-1 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_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 4 2023 1 3 18 1-57 AR 4 2023 1 3 18 1-57 26 01 0206 4321175283 x1z 12-05-23 26 00 DE-206 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. |
| allfieldsSound |
10.1007/s43069-022-00185-1 doi (DE-627)184528982X (DE-599)KXP184528982X (DE-He213)s43069-022-00185-1-e DE-627 ger DE-627 rda eng Aprahamian, Hrayer verfasserin aut Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains Hrayer Aprahamian, Sergiy Butenko, Zachary Hunt, Mykyta Makovenko, Celine Martin, Miltiades Pardalos, Stephen Talcott 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dietary guidelines (dpeaa)DE-206 Fast food (dpeaa)DE-206 Healthy diet (dpeaa)DE-206 Linear programming (dpeaa)DE-206 Nutrition informatics (dpeaa)DE-206 The diet model (dpeaa)DE-206 Butenko, Sergiy 1977- verfasserin (DE-588)1054310718 (DE-627)791278905 (DE-576)410126543 aut Hunt, Zachary verfasserin aut Makovenko, Mykyta verfasserin aut Martin, Celine verfasserin (DE-588)1292875690 (DE-627)1850309922 aut Pardalos, Miltiades verfasserin aut Talcott, Stephen verfasserin aut Enthalten in Operations research forum Cham : Springer International Publishing, 2020 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 Online-Ressource (DE-627)1669255581 (DE-600)2978290-9 2662-2556 nnns volume:4 year:2023 number:1 month:03 elocationid:18 pages:1-57 https://link.springer.com/content/pdf/10.1007/s43069-022-00185-1.pdf?pdf=button Verlag lizenzpflichtig https://doi.org/10.1007/s43069-022-00185-1 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP 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_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 4 2023 1 3 18 1-57 AR 4 2023 1 3 18 1-57 26 01 0206 4321175283 x1z 12-05-23 26 00 DE-206 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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Enthalten in Operations research forum 4(2023), 1 vom: März, Artikel-ID 18, Seite 1-57 volume:4 year:2023 number:1 month:03 elocationid:18 pages:1-57 |
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ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">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.</subfield></datafield></record></collection>
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Aprahamian, Hrayer |
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Aprahamian, Hrayer misc Dietary guidelines misc Fast food misc Healthy diet misc Linear programming misc Nutrition informatics misc The diet model Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains |
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26 00 DE-206 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 Can fast food eating patterns be healthy? an optimization-based analysis of popular US fast-food chains Hrayer Aprahamian, Sergiy Butenko, Zachary Hunt, Mykyta Makovenko, Celine Martin, Miltiades Pardalos, Stephen Talcott Dietary guidelines (dpeaa)DE-206 Fast food (dpeaa)DE-206 Healthy diet (dpeaa)DE-206 Linear programming (dpeaa)DE-206 Nutrition informatics (dpeaa)DE-206 The diet model (dpeaa)DE-206 |
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misc Dietary guidelines misc Fast food misc Healthy diet misc Linear programming misc Nutrition informatics misc The diet model |
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ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">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.</subfield></datafield></record></collection>
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| score |
7.4030447 |