Ontology type: schema:ScholarlyArticle Open Access: True
2008-11
AUTHORSL Maes, C A Vereecken, K Gedrich, K Rieken, W Sichert-Hellert, I De Bourdeaudhuij, M Kersting, Y Manios, M Plada, M Hagströmer, S Dietrich, C Matthys
ABSTRACTOBJECTIVE: Adolescents are an interesting but neglected target group in obesity prevention. We assessed the feasibility of using a diet optimization approach for computer-tailored nutrition interventions for adolescents. METHOD: Development of an optimization model based on the public health approach to diet optimization. On the basis of food frequency questionnaires (FFQ) of 48 adolescents (14-17 years) optimized diets were calculated. RESULTS: The optimization calculations for all cases resulted in individual advice. On a total of 137 items included in the FFQ, the individualized advice included changes in a minimum of 36 and a maximum of 88 items (mean: 61 items), recommendations for changes in the food items ranged from less than 1 g day(-1) up to 1660 g day(-1). In almost all cases a higher intake of fruit and vegetables was recommended; some unexpected advice was also generated (for example, to decrease the consumption of brown bread and to increase the consumption of pizza). The strengths and weaknesses of the optimized diets are discussed. CONCLUSION: Using the optimization approach is a step forward in nutrition tailoring interventions but the model used in the present feasibility study still needs to be refined. More... »
PAGESijo2008186
http://scigraph.springernature.com/pub.10.1038/ijo.2008.186
DOIhttp://dx.doi.org/10.1038/ijo.2008.186
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1014963902
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/19011657
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Adolescent",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Adolescent Nutritional Physiological Phenomena",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cross-Sectional Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Diet",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Energy Intake",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Feasibility Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Internet",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Nutrition Assessment",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Obesity",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Surveys and Questionnaires",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Therapy, Computer-Assisted",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Ghent University",
"id": "https://www.grid.ac/institutes/grid.5342.0",
"name": [
"Department of Public Health, Ghent University, Ghent, Belgium"
],
"type": "Organization"
},
"familyName": "Maes",
"givenName": "L",
"id": "sg:person.0703617241.13",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703617241.13"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Ghent University",
"id": "https://www.grid.ac/institutes/grid.5342.0",
"name": [
"Department of Public Health, Ghent University, Ghent, Belgium"
],
"type": "Organization"
},
"familyName": "Vereecken",
"givenName": "C A",
"id": "sg:person.01345534755.75",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345534755.75"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Technical University Munich",
"id": "https://www.grid.ac/institutes/grid.6936.a",
"name": [
"Department of Marketing and Consumer Research, TUM - Technische Universit\u00e4t M\u00fcnchen, Freising, Germany"
],
"type": "Organization"
},
"familyName": "Gedrich",
"givenName": "K",
"id": "sg:person.01274671731.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274671731.70"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Technical University Munich",
"id": "https://www.grid.ac/institutes/grid.6936.a",
"name": [
"Department of Marketing and Consumer Research, TUM - Technische Universit\u00e4t M\u00fcnchen, Freising, Germany"
],
"type": "Organization"
},
"familyName": "Rieken",
"givenName": "K",
"id": "sg:person.01351701315.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351701315.33"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Forschungsinstitut f\u00fcr Kinderern\u00e4hrung",
"id": "https://www.grid.ac/institutes/grid.417942.d",
"name": [
"Research Institute of Child Nutrition, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Dortmund, Germany"
],
"type": "Organization"
},
"familyName": "Sichert-Hellert",
"givenName": "W",
"id": "sg:person.01247114600.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01247114600.33"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Ghent University",
"id": "https://www.grid.ac/institutes/grid.5342.0",
"name": [
"Department of Sport and Movement Sciences, Ghent University, Gent, Belgium"
],
"type": "Organization"
},
"familyName": "De Bourdeaudhuij",
"givenName": "I",
"id": "sg:person.01150165506.42",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150165506.42"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Forschungsinstitut f\u00fcr Kinderern\u00e4hrung",
"id": "https://www.grid.ac/institutes/grid.417942.d",
"name": [
"Research Institute of Child Nutrition, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Dortmund, Germany"
],
"type": "Organization"
},
"familyName": "Kersting",
"givenName": "M",
"id": "sg:person.01226502025.58",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226502025.58"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Harokopio University",
"id": "https://www.grid.ac/institutes/grid.15823.3d",
"name": [
"Department of Nutrition & Dietetics, Harokopio University, Kallithea, Athens, Greece"
],
"type": "Organization"
},
"familyName": "Manios",
"givenName": "Y",
"id": "sg:person.01264414106.95",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264414106.95"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Social Medicine, Preventive Medicine & Nutrition Clinic, Heraklion, Crete, Greece"
],
"type": "Organization"
},
"familyName": "Plada",
"givenName": "M",
"id": "sg:person.01045237654.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045237654.78"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Karolinska Institute",
"id": "https://www.grid.ac/institutes/grid.4714.6",
"name": [
"Karolinska Institutet, Department of Biosciences and Nutrition, Unit for Preventive Nutrition at Novum, Huddinge, Sweden"
],
"type": "Organization"
},
"familyName": "Hagstr\u00f6mer",
"givenName": "M",
"id": "sg:person.01073706520.22",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073706520.22"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Abteilung f\u00fcr Ern\u00e4hrungsmedizin, Univ. Klinik f\u00fcr Kinder- und Jugendheilkunde, Medizinische Universit\u00e4t Wien, 1090 Wien, W\u00e4hringer G\u00fcrtel, Austria"
],
"type": "Organization"
},
"familyName": "Dietrich",
"givenName": "S",
"id": "sg:person.01176261010.79",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176261010.79"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Ghent University",
"id": "https://www.grid.ac/institutes/grid.5342.0",
"name": [
"Department of Public Health, Ghent University, Ghent, Belgium"
],
"type": "Organization"
},
"familyName": "Matthys",
"givenName": "C",
"id": "sg:person.01326127750.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326127750.11"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf01614751",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004781209",
"https://doi.org/10.1007/bf01614751"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01614751",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004781209",
"https://doi.org/10.1007/bf01614751"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01614751",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004781209",
"https://doi.org/10.1007/bf01614751"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980099000439",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004912906"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nutres.2003.12.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005849170"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/her/cyl115",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009497575"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/her/17.5.670",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009932985"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1079/phn2001153",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010233568"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1090198103260635",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010269388"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/1090198103260635",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010269388"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0738-3991(98)00127-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013127640"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0005-7894(05)80212-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018064252"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/1097-0142(19930801)72:3+<1024::aid-cncr2820721314>3.0.co;2-m",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021549256"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980007219652",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022827635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980007219652",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022827635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980007219652",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022827635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980007000535",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026483835"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s1368980007000535",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026483835"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1006/pmed.2002.1064",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035264323"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02874550",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037530901",
"https://doi.org/10.1007/bf02874550"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apnr.2004.04.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039449117"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0738-3991(98)00131-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042936160"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/her/17.4.435",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045445842"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1746-1561.1998.tb06348.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048935905"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1746-1561.1998.tb06348.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048935905"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.ejcn.1600727",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053717293",
"https://doi.org/10.1038/sj.ejcn.1600727"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/sj.ejcn.1600727",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053717293",
"https://doi.org/10.1038/sj.ejcn.1600727"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1207/s15324796abm3103_2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064220571",
"https://doi.org/10.1207/s15324796abm3103_2"
],
"type": "CreativeWork"
}
],
"datePublished": "2008-11",
"datePublishedReg": "2008-11-01",
"description": "OBJECTIVE: Adolescents are an interesting but neglected target group in obesity prevention. We assessed the feasibility of using a diet optimization approach for computer-tailored nutrition interventions for adolescents.\nMETHOD: Development of an optimization model based on the public health approach to diet optimization. On the basis of food frequency questionnaires (FFQ) of 48 adolescents (14-17 years) optimized diets were calculated.\nRESULTS: The optimization calculations for all cases resulted in individual advice. On a total of 137 items included in the FFQ, the individualized advice included changes in a minimum of 36 and a maximum of 88 items (mean: 61 items), recommendations for changes in the food items ranged from less than 1 g day(-1) up to 1660 g day(-1). In almost all cases a higher intake of fruit and vegetables was recommended; some unexpected advice was also generated (for example, to decrease the consumption of brown bread and to increase the consumption of pizza). The strengths and weaknesses of the optimized diets are discussed.\nCONCLUSION: Using the optimization approach is a step forward in nutrition tailoring interventions but the model used in the present feasibility study still needs to be refined.",
"genre": "research_article",
"id": "sg:pub.10.1038/ijo.2008.186",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1035838",
"issn": [
"0307-0565",
"1476-5497"
],
"name": "International Journal of Obesity",
"type": "Periodical"
},
{
"issueNumber": "S5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "32"
}
],
"name": "A feasibility study of using a diet optimization approach in a web-based computer-tailoring intervention for adolescents",
"pagination": "ijo2008186",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"474b19b54c0d1feff41fe92d03ba70c4b00b7196e2e0714f21558dd9e8730455"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"19011657"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101256108"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/ijo.2008.186"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1014963902"
]
}
],
"sameAs": [
"https://doi.org/10.1038/ijo.2008.186",
"https://app.dimensions.ai/details/publication/pub.1014963902"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T13:55",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8660_00000422.jsonl",
"type": "ScholarlyArticle",
"url": "http://www.nature.com/articles/ijo2008186"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ijo.2008.186'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/ijo.2008.186'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ijo.2008.186'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ijo.2008.186'
This table displays all metadata directly associated to this object as RDF triples.
283 TRIPLES
21 PREDICATES
63 URIs
35 LITERALS
23 BLANK NODES