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Journal articles on the topic "Næringsstoffer"

1

Mosdøl, Annhild, Gerd Holmboe-Ottesen, Lars Johansson, Kari Solvoll, Elin Bjørge-Løken, and Dag S. Thelle. "Contributions of food categories to absolute nutrient intake and between-person variation within a representative sample of 2677 Norwegian men and women." Norsk Epidemiologi 10, no. 1 (November 5, 2009). http://dx.doi.org/10.5324/nje.v10i1.511.

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<strong><span style="font-family: TimesNewRomanPS-BoldMT;"><span style="font-family: TimesNewRomanPS-BoldMT;"><p align="left"> </p></span></span><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">ABSTRACT</span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Semi-quantitative food frequency data from a nation-wide, representative sample of 2677 Norwegian</p><p align="left">men and women were analysed to identify food categories contributing most to absolute intake and</p><p align="left">between-person variation in intake of energy and nine nutrients. The 149 food categories in the questionnaire</p><p align="left">were ranked according to their contribution to absolute nutrient intake, and categories contributing</p><p align="left">at least 0.5% to the average absolute intake were included in a stepwise regression model. The</p><p align="left">number of food categories explaining 90% of the between-person variation varied from 2 categories for</p></span></span><span style="font-size: x-small; font-family: Symbol;"><span style="font-size: x-small; font-family: Symbol;"><span style="font-size: x-small; font-family: Symbol;"><span style="font-size: x-small; font-family: Symbol;"><p align="left">b</p></span></span></span><span style="font-size: x-small; font-family: Symbol;"><p align="left"> </p></span></span><p align="left"><span style="font-size: x-small;"><span style="font-size: x-small; font-family: Times New Roman;">-carotene to 33 for </span></span><span style="font-size: x-small; font-family: Symbol;"><span style="font-size: x-small; font-family: Symbol;">a</span></span><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-family: Times New Roman;">-tocopherol. The models accounted for 53–76% of the estimated absolute nutrient</span><p align="left">intakes. These analyses present a meaningful way of restricting the number of food categories in</p><p align="left">questionnaires aimed at capturing the between-person variation in energy or specific nutrient intakes.</p></span></span></p><strong><span style="font-family: TimesNewRomanPS-BoldMT;"><span style="font-family: TimesNewRomanPS-BoldMT;"><p align="left">N</p></span></span><p align="left"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">ORSK SAMMENDRAG</span></span></p></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Semikvantitative matvarefrekvensdata fra et landsrepresentativt utvalg av 2677 norske menn og kvinner</p><p align="left">ble analysert for å identifisere de matvarekategoriene som bidro mest til absolutt inntak og til variasjon</p><p align="left">i inntak mellom individer for energi og ni næringsstoffer. De 149 matvarekategoriene ble rangert i</p><p align="left">forhold til deres bidrag til inntaket av et næringsstoff, og de kategoriene som bidro med minst 0,5% av</p><p align="left">gjennomsnittlig inntak ble inkludert i en trinnvis regresjonsmodell. Antallet kategorier som forklarte</p><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">90% av variasjonen mellom individer varierte fra 2 kategorier for</p></span></span></span><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left"> </p></span></span><p align="left"><span style="font-size: x-small; font-family: Symbol;"><span style="font-size: x-small; font-family: Symbol;">b</span></span><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">-karoten til 33 for </span></span><span style="font-size: x-small; font-family: Symbol;"><span style="font-size: x-small; font-family: Symbol;">a</span></span><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">-tokoferol.<p align="left">Modellene inkluderte 53–76% av det estimerte absoluttinntaket av næringsstoffene. Disse analysene</p><p align="left">peker på en meningsfylt måte å redusere antall kostspørsmål i spørreskjema som er rettet mot å fange</p><p>opp variasjonen i inntak av energi og utvalgte næringsstoffer mellom personer.</p></span></span></p>
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2

Rimestad, Arnhild Haga, Elin Bjørge Løken, and Astrid Nordbotten. "Den norske matvaretabellen og beregningsdatabasen ved Institutt for ernæringsforskning." Norsk Epidemiologi 10, no. 1 (November 5, 2009). http://dx.doi.org/10.5324/nje.v10i1.509.

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<strong><span style="font-family: TimesNewRomanPS-BoldMT;"><span style="font-family: TimesNewRomanPS-BoldMT;"><p align="left"> </p></span></span><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">SAMMENDRAG</span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Opplysninger om matvarers innhold av energi og næringsstoffer er nødvendig i mange sammenhenger –</p><p align="left">for overvåking av kostholdet i ulike befolkningsgrupper, for studier av sammenhenger mellom kosthold,</p><p align="left">livsstil og helse, ved veiledning, undervisning og opplysning om et helsemessig godt kosthold. De fleste</p><p align="left">vestlige land har en trykt matvaretabell som viser næringsinnholdet per 100 g matvare for et</p><p align="left">representativt utvalg av de vanligste matvarene. Ved næringsberegning av kostholdsundersøkelser brukes</p><p align="left">som regel spesialtilpassete beregningsdatabaser, disse har ofte ikke-publiserte data i tillegg. Kvaliteten på</p><p align="left">den beregningsdatabasen som benyttes ved bearbeiding av kostholdsundersøkelser kan ha avgjørende</p><p align="left">betydning for resultatene. Det er viktig at den databasen som benyttes blir omtalt i metodeavsnittet når</p><p align="left">arbeidet publiseres. Matvaremarkedet endres stadig, fokus rettes mot nye næringsstoffer og analysemetodene</p><p align="left">forbedres. Matvaretabellene og databasene må derfor revideres kontinuerlig. Næringsstoffinnholdet i</p><p align="left">matvarer varierer med sort, rase, fôring, dyrkingsbetingelser, lagring, transport, bearbeiding, oppskrifter</p><p align="left">og tilberedningsmetode. Siden mange av disse faktorene er forskjellig i forskjellige land, er det nødvendig</p><p align="left">å ha egne nasjonale matvaretabeller og databaser. For importerte matvarer kan det være forsvarlig å låne</p><p align="left">utenlandske verdier gitt at varen er av samme type, at håndteringen er lik og at næringsstoffdefinisjoner</p><p align="left">og analysemetoder er sammenlignbare. Det er viktig å fortsette det internasjonale samarbeidet med å</p><p align="left">gjøre tabellverk i ulike land sammenlignbare. Dette er en av forutsetningene for at resultatene fra</p><p align="left">kostholdsundersøkelser i ulike land kan sammenlignes.</p><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Rimestad AH, Løken EB, Nordbotten A.</p></span></span></span><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left"> </p></span></span><p align="left"><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">The Norwegian food composition table and the database for<strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><p align="left">nutrient calculations at the Institute for Nutrition Research.</p></span></span></strong></span><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><p align="left"> </p></span></strong></span></strong><em><span style="font-size: x-small; font-family: TimesNewRomanPS-ItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-ItalicMT;">Nor J Epidemiol </span></span></em><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">2000; </span></span><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">10 </span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">(1): 7-16.</span></span></p><p align="left"><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">ENGLISH SUMMARY</span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Food composition data are needed for diet surveillance of the population, for epidemiological studies of</p><p align="left">diet, health and lifestyle relationships and for councelling, teaching and information about how to obtain a</p><p align="left">healthy diet. The current edition of the Norwegian food composition table presents data on energy and</p><p align="left">nutrient content for 882 foods. Only 23 % of the table values are based on analytical work from</p><p align="left">Norwegian laboratories, 28 % are calculated from recipes, 20 % are borrowed from other tables, 13 % are</p><p align="left">imputed from similar foods and 16 % are missing. Most of the values refer to raw foods. A number of</p><p align="left">borrowed and estimated values from other sources as well as recipes for cooked foods have been added</p><p align="left">by the Institute for Nutrition Research at the University of Oslo to their database for nutrient calculations</p><p align="left">in dietary surveys. In this article we describe the procedures for sampling of foods to be analysed, how</p><p align="left">the analytical results are compiled and what factors are used to account for vitamin losses in recipe calculation.</p><p align="left">Resources for continuous revisions of the Norwegian food composition table are needed as the</p><p align="left">users focus on new food components, the analytical methods are improved and the food market as well as</p><p>the dietary habits of the population change over time.</p></span></span></p>
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3

Jacobsen, Bjarne Koster, and Hugo Nilsen. "High education is associated with low fat and high fibre, beta-carotene and vitamin C - Computation of nutrient intake based on a short food frequency questionnaire in 17,265 men and women in the Tromsø Study." Norsk Epidemiologi 10, no. 1 (November 5, 2009). http://dx.doi.org/10.5324/nje.v10i1.515.

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<strong><span style="font-family: TimesNewRomanPS-BoldMT;"><span style="font-family: TimesNewRomanPS-BoldMT;"><p align="left"> </p></span></span><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">ABSTRACT</span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Educational level has been correlated to the intake of several nutrients. In a population-based study</p><p align="left">including 17,265 men and women aged 25-69 years, the intake of nutrients were calculated based on 37</p><p align="left">questions about food habits. In this paper, we present results from the dietary survey with emphasis on</p><p align="left">the relationships between dietary habits and educational level. Compared to subjects with low formal</p><p align="left">education, subjects with high educational level have less fat in their diet and more dietary fibre, betacarotene,</p><p align="left">vitamin C and alcohol (p-value for linear trend < 0.001). Our results confirm that high education</p><p align="left">is associated with healthy food habits and relatively higher alcohol consumption. There is a need for</p><p align="left">efforts in order to change the food habits of the less educated.</p></span></span><strong><span style="font-family: TimesNewRomanPS-BoldMT;"><span style="font-family: TimesNewRomanPS-BoldMT;"><p align="left">N</p></span></span><p align="left"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">ORSK SAMMENDRAG</span></span></p></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Personer med lang utdanning har ofte et bedre kosthold enn personer med kortere utdanning. I denne</p><p align="left">undersøkelsen har vi estimert inntaket av en rekke næringsstoffer basert på 37 spørsmål om kostvaner</p><p align="left">som ble stilt til personer som tok del i Tromsø-IV-undersøkelsen (1994/95). Vår studie inkluderer 17 265</p><p align="left">menn og kvinner i Tromsø i alderen 25-69 år. Vi presenterer resultater fra denne kostholdsundersøkelsen</p><p align="left">med vekt på relasjoner mellom kostvaner og utdanningslengde. Sammenlignet med personer med kort</p><p align="left">formell utdanning, har personer med lang utdanning mindre fett i kosten og høyere inntak av fiber, betakaroten,</p><p align="left">vitamin C og alkohol (p < 0.001). Resultatene bekrefter at personer med lang utdanning har et</p><p align="left">helsemessig gunstigere kosthold, men et høyere alkoholinntak, enn personer med kort utdanning.</p><p>Funnene understreker behovet for målrettede tiltak for å utjevne sosiale forskjeller i kostvaner i Norge.</p></span></span>
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4

Lande, Britt, Lene Frost Andersen, Anne Bærug, Kerstin Trygg, Kari Lund-Larsen, and Gunn-Elin Aa Bjørneboe. "Valg av metode for en landsrepresentativ undersøkelse av kostholdet blant sped- og småbarn i Norge - Spedkost og Småbarnskost." Norsk Epidemiologi 10, no. 1 (November 5, 2009). http://dx.doi.org/10.5324/nje.v10i1.513.

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<strong><span style="font-family: TimesNewRomanPS-BoldMT;"><span style="font-family: TimesNewRomanPS-BoldMT;"><p align="left"> </p></span></span><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">SAMMENDRAG</span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">I 1998-99 er den første landsrepresentative kostholdsundersøkelsen blant spedbarn og småbarn gjennomført i Norge</p><p align="left">for å beskrive kostholdet blant barn opp til 2 års alder og relatere kostvanene til de kostanbefalingene som gis.</p><p align="left">Inntaket av både næringsstoffer og fremmedstoffer skal beregnes. Undersøkelsen inngår i Statens råd for ernæring</p><p align="left">og fysisk aktivitet (SEF) sitt system for kartlegging av kostholdet i den norske befolkningen, og er et samarbeid</p><p align="left">mellom SEF, Statens næringsmiddeltilsyn, Institutt for ernæringsforskning ved Universitetet i Oslo og Statistisk</p><p align="left">sentralbyrå. Hovedmålet er å øke kunnskapen om kostholdet til spedbarn og småbarn i Norge, for å få et bedre</p><p align="left">grunnlag for å fremme et godt kosthold og forebygge kostholdsrelaterte helseproblemer i denne aldersgruppen.</p><p align="left">Semikvantitative matvarefrekvensskjema ble vurdert å være den beste metoden å benytte. Det ble utviklet 3 forskjellige</p><p align="left">selvadministrerte matvarefrekvensskjema (optisk lesbare) for å kartlegge kostholdet blant 6, 12 og 24 måneder</p><p align="left">gamle barn. Bilder av matporsjoner ble inkludert som hjelp til å bestemme mengder. Frekvensskjemaene ble sendt</p><p align="left">pr. post til mødrene av et landsrepresentativt utvalg av 3000 6 måneder gamle barn. De samme barna ble fulgt opp</p><p align="left">ved 12 måneders alder ved at barnas mødre da mottok et nytt frekvensskjema (Spedkost). Videre ble et frekvensskjema</p><p align="left">sendt mødrene til et landsrepresentativt utvalg av 3000 24 måneder gamle barn (Småbarnskost). Data for</p><p align="left">barnas vekt og lengde ble samlet inn i samarbeid med landets helsestasjoner. Det er gjennomført en pilotundersøkelse</p><p align="left">for å prøve ut frekvensskjemaene og undersøkelsesopplegg. Videre blir frekvensskjemaene validert mot veid</p><p align="left">registrering over 7 dager. Datainnsamlingen ble avsluttet i juli 1999, og rapporter fra undersøkelsen er ventet i år</p><p align="left">2000. Hensikten med artikkelen er å beskrive metoden og begrunne valg av metode for Spedkost og Småbarnskost.</p><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">Lande B, Frost Andersen L, Bærug A, Trygg K, Lund-Larsen K, Bjørneboe G-EAa.</p></span></span></span><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left"> </p></span></span><p align="left"><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">Development of a method</span><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><p align="left"> </p><p align="left"> </p><p align="left"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"></span><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">ENGLISH SUMMARY</span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><p align="left">In 1998-99 the first Norwegian national dietary survey among infants and children was conducted in order to describe</p><p align="left">the dietary habits among children up to the age of 2 years, and to relate these habits to the dietary recommendations.</p><p align="left">Intakes of both nutrients and non-nutrients will be estimated. The survey is part of the national food</p><p align="left">surveillance system in Norway, and is a collaboration between the National Council on Nutrition and Physical</p><p align="left">Activity, the Norwegian Food Control Authorities, the Institute for Nutrition Research (University of Oslo) and</p><p align="left">Statistics Norway. The main objective is to increase the knowledge about dietary habits among Norwegian infants</p><p align="left">and young children in order to promote a healthy diet and prevent diet-related health problems in this age group. A</p><p align="left">self-administered semi-quantitative food frequency questionnaire was considered the best method. Three questionnaires</p><p align="left">were developed to assess dietary intake among 6, 12 and 24 months old children. Pictures were included</p><p align="left">to help with decisions of portion sizes. The semi-quantitative food frequency questionnaire (FFQ) was distributed to</p><p align="left">the mothers of a national representative sample of 3000 6 months old infants. This cohort of infants was followed up</p><p align="left">at 12 months of age, when their mothers received a new FFQ (Spedkost). Furthermore, a FFQ was distributed to the</p><p align="left">mothers of a national representative sample of 3000 24 months old children (Småbarnskost). Data on weight and</p><p align="left">length were collected in cooperation with the child health centres. A pilot study was conducted in cooperation with</p><p align="left">the child health centres to test the questionnaires and study design. Furthermore, the questionnaires are validated</p><p align="left">against 7 days weighed record of food intake. The data collection was closed in July 1999, and reports of the survey</p><p align="left">are expected in 2000. The purpose of this article is to describe the method and discuss the choice of method for the</p><p>national dietary survey among infants and young children – Spedkost/Småbarnskost.</p></span></span></p></span></strong></span></strong><em><span style="font-size: x-small; font-family: TimesNewRomanPS-ItalicMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-ItalicMT;">Nor J Epidemiol </span></span></em><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">2000; </span></span><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;">10 </span></span></strong><span style="font-size: x-small; font-family: TimesNewRomanPSMT;"><span style="font-size: x-small; font-family: TimesNewRomanPSMT;">(1): 43-50.</span></span></p><p align="left">for use in a national representative dietary survey among Norwegian infants and children –</p><strong><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><span style="font-size: x-small; font-family: TimesNewRomanPS-BoldMT;"><p align="left">Spedkost/Småbarnskost.</p></span></span></strong>
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Books on the topic "Næringsstoffer"

1

Wienberg, Anton. Overvågningssystem for næringsstoffer.: Food monitoring system for nutrients. Dairy products. [Søborg, Denmark]: Centrallaboratoriets afd. A, Levnedsmiddelstyrelsen, 1987.

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(Editor), Ervin Balazs, Ennio Galante (Editor), James M. Lynch (Editor), James S. Schepers (Editor), Jean-Pierre Toutant (Editor), Dietrich Werner (Editor), and P.A.T.J. Werry (Editor), eds. Biological Resource Management: Connecting Science and Policy. Springer, 2000.

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1914-, Shils Maurice E., and Shike Moshe, eds. Modern nutrition in health and disease. Philadelphia: Lippincott Williams & Wilkins, 2006.

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