24-hour national dietary survey data: how do we interpret them most effectively?

24-hour national dietary survey data: how do we interpret them most effectively?

Item
http://www.wikidata.org/entity/Q31012260
Nutritional intake of Korean population before and after adjusting for within-individual variations: 2001 Korean National Health and Nutrition Survey Data.Making sense of agrobiodiversity, diet, and intensification of smallholder family farming in the Highland Andes of Ecuador.Cross-continental comparison of national food consumption survey methods--a narrative reviewMisreporting of energy intake in the 2007 Australian Children's Survey: identification, characteristics and impact of misreportersDietary sugars intake and micronutrient adequacy: a systematic review of the evidence.Use and impact of usual intake models on dietary exposure estimate and risk assessment of chemical substances: a practical example for cadmium, acrylamide and sulphites.Consumption of 'extra' foods by Australian adults: types, quantities and contribution to energy and nutrient intakes.The added value of food frequency questionnaire (FFQ) information to estimate the usual food intake based on repeated 24-hour recalls.
P2860

24-hour national dietary survey data: how do we interpret them most effectively?

Item
http://www.wikidata.org/entity/Q31012260
description
2005 nî lūn-bûn
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2005 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի սեպտեմբերին հրատարակված գիտական հոդված
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2005年の論文
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2005年論文
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2005年論文
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2005年論文
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2005年論文
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2005年論文
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2005年论文
@wuu
name
24-hour national dietary survey data: how do we interpret them most effectively?
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24-hour national dietary survey data: how do we interpret them most effectively?
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type
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24-hour national dietary survey data: how do we interpret them most effectively?
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24-hour national dietary survey data: how do we interpret them most effectively?
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prefLabel
24-hour national dietary survey data: how do we interpret them most effectively?
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24-hour national dietary survey data: how do we interpret them most effectively?
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P2093
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P1476
24-hour national dietary survey data: how do we interpret them most effectively?
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P2093
P2860
P304
P31
P356
P407
P433
P478
P577
P698