Young adolescents' nutrition assessment on computer (YANA-C).
about
Comparison of estimated energy intake using Web-based Dietary Assessment Software with accelerometer-determined energy expenditure in childrenAssociation between dietary inflammatory index and inflammatory markers in the HELENA study.Assessing Child Nutrient Intakes Using a Tablet-Based 24-Hour Recall Tool in Rural Zambia.Comparison of different approaches to calculate nutrient intakes based upon 24-h recall data derived from a multicenter study in European adolescents.Fluid consumption, total water intake and first morning urine osmolality in Spanish adolescents from Zaragoza: data from the HELENA study.Comparison of a Web-Based 24-h Dietary Recall Tool (Foodbook24) to an Interviewer-Led 24-h Dietary Recall.Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents: The HELENA studyRelationship between self-reported dietary intake and physical activity levels among adolescents: the HELENA study.Gender differences on effectiveness of a school-based physical activity intervention for reducing cardiometabolic risk: a cluster randomized trial.Dietary animal and plant protein intakes and their associations with obesity and cardio-metabolic indicators in European adolescents: the HELENA cross-sectional study.Development of a UK Online 24-h Dietary Assessment Tool: myfood24European adolescent ready-to-eat-cereal (RTEC) consumers have a healthier dietary intake and body composition compared with non-RTEC consumers.A follow-up study to assess the determinants and consequences of physical activity in pregnant women of Cuenca, Spain.Beverage consumption among European adolescents in the HELENA studyThe Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study.Overcoming Dietary Assessment Challenges in Low-Income Countries: Technological Solutions Proposed by the International Dietary Data Expansion (INDDEX) ProjectCross-sectional and longitudinal associations between energy intake and BMI z-score in European children.Assessing, understanding and modifying nutritional status, eating habits and physical activity in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study.Clustering of unhealthy food around German schools and its influence on dietary behavior in school children: a pilot study.Comparison of INTAKE24 (an Online 24-h Dietary Recall Tool) with Interviewer-Led 24-h Recall in 11-24 Year-Old.Reproducibility and comparative validity of a food frequency questionnaire for Australian children and adolescents.Criterion validity and user acceptability of a CD-ROM-mediated food record for measuring fruit and vegetable consumption among black adolescentsDevelopment of a Web-Based 24-h Dietary Recall for a French-Canadian PopulationFeasibility of the Young Children's Nutrition Assessment on the Web.A review of the use of information and communication technologies for dietary assessment.Dietary assessment methods for micronutrient intake in infants, children and adolescents: a systematic review.Reducing the cost of dietary assessment: self-completed recall and analysis of nutrition for use with children (SCRAN24).Validation and reproducibility of dietary assessment methods in adolescents: a systematic literature review.Challenges involved in measuring intake in early life: focus on methods.Inventory on the dietary assessment tools available and needed in Africa: a prerequisite for setting up a common methodological research infrastructure for nutritional surveillance, research and prevention of diet-related non-communicable diseases.Formative evaluation of the dietary assessment component of Children's and Adolescents' Nutrition Assessment and Advice on the Web (CANAA-W).A meta-analysis of the validity of FFQ targeted to adolescents.A systematic review of methods to assess intake of sugar-sweetened beverages among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study.A systematic review of methods to assess intake of fruits and vegetables among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study.Associations between a Mediterranean diet pattern and inflammatory biomarkers in European adolescents.Using reduced rank regression methods to identify dietary patterns associated with obesity: a cross-country study among European and Australian adolescents.Dietary sources of sugars in adolescents' diet: the HELENA study.Correlates of dietary resilience among socioeconomically disadvantaged adolescents.Prevalence and determinants of misreporting among European children in proxy-reported 24 h dietary recalls.The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring.
P2860
Q27777828-C04BCE72-211B-4E80-9A1A-E79428D72245Q30240045-BBA22ABA-D231-443F-92EF-E04ADAF4A0E6Q30488446-02358CF9-2795-465C-AAC1-25882863FF68Q30907477-075A6B38-9E75-4A53-A942-D901CE7925D0Q31032176-94DB1634-4A4C-4C31-9DDA-4194875288B1Q33749146-E168EB9F-3868-4EF0-8359-FCE3C4BA1FCCQ33903499-F5689F43-D542-4DFC-89E4-76CC23A71C2BQ34607629-1579DD39-EBC1-4700-AD0A-865678EDBDD3Q34968635-47A3AE5A-7EE6-4F29-9DFB-36AA87D1B5F4Q35101265-4021EB9D-B6AA-4D49-B8F4-6F07552E7729Q35808808-E3428A88-6C09-4F53-84F8-D3FCE493D2D0Q36069835-65614413-3892-41AC-9542-523C1A2B5E63Q36076373-3626440A-9940-49B5-B430-79F49C2CF1C1Q36084364-543BA5CA-24D2-4827-BF5D-51FA700C641CQ36095998-7D6E486C-42D2-4278-9F44-C633D7A85939Q36310270-AB8428B1-CBA9-47C9-8E4F-B0420DADF692Q36583776-A21CBF9D-B33F-43C2-94FF-687769BEA93FQ36873228-EE8A1019-AC6D-4115-8153-64B5D54A2CEFQ36940731-E668C4D4-4641-4FB5-BA81-C26EC001ADA8Q37045147-47AF619F-B199-4237-859B-FD47C5E17F05Q37379826-C76BA369-E7DC-4C68-A9B3-49AA4D8EFD71Q37416001-676FD4D3-2467-4BDA-9FE3-8281A2A2DE82Q37463336-41DC3D2F-225A-4F0E-BC26-9B6A15BB8F9DQ37470992-359530D1-04A1-4AFA-9D6B-3E2776C4E989Q37548818-7DB91C22-1310-4E87-867B-897DFD6590B3Q37681078-9ADF3E28-BFCB-4884-882D-96A7EA6991A8Q38105579-270094F9-1756-4F13-AFD6-058D7F2525F7Q38183178-5FE54852-F6B2-4C40-AF5F-BC327DBD1A4DQ38189855-58A78861-D0C9-45EF-97A1-3BDDBFDFBBFFQ38393372-A081A8C7-02D1-48BC-A174-43D76A58770BQ38548145-F7BF38D8-E763-4872-A3D1-391595B001AEQ38583741-CE2BB73F-32A1-4A21-B198-871FBEAC125FQ38808257-362C4432-2D44-45E8-BC5B-205B43E0EFDAQ38821567-3AF9898A-0202-45D0-9275-BF14A761D67EQ38831222-6553FBBF-908E-4ABC-B043-B8B68C14B1F4Q38975989-03C029C0-1457-4CC2-8D4E-370DADCC1950Q39146697-6621F84E-043E-46F8-A4D5-358CA6835276Q39288550-A35B3FCF-7555-4E95-B71D-EE11AEAA526DQ39574501-1B556BD3-2954-4895-BC19-17DB9655E656Q39728943-4B581648-51A5-4019-A03C-42C35DA294F0
P2860
Young adolescents' nutrition assessment on computer (YANA-C).
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Young adolescents' nutrition assessment on computer (YANA-C).
@en
Young adolescents' nutrition assessment on computer
@nl
type
label
Young adolescents' nutrition assessment on computer (YANA-C).
@en
Young adolescents' nutrition assessment on computer
@nl
prefLabel
Young adolescents' nutrition assessment on computer (YANA-C).
@en
Young adolescents' nutrition assessment on computer
@nl
P2093
P2860
P356
P1476
Young adolescents' nutrition assessment on computer (YANA-C)
@en
P2093
P2860
P2888
P304
P356
10.1038/SJ.EJCN.1602124
P577
2005-05-01T00:00:00Z