Nutrition Assessment

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Lea Maes - One of the best experts on this subject based on the ideXlab platform.

  • Feasibility of the Young Children's Nutrition Assessment on the Web.
    Journal of the American Dietetic Association, 2009
    Co-Authors: Carine Vereecken, Marc Covents, Denise L. Haynie, Lea Maes
    Abstract:

    Methods to assess detailed dietary data are cumbersome, expensive, and difficult to implement with large samples. The purpose of the present article was to evaluate the feasibility of collecting data from parents about their child's diet using an online dietary Assessment tool. The Young Children's Nutrition Assessment on the Web was developed as part of a longitudinal study of familial influences on food intake of preschool children. A sample of 862 parents from 56 nursery schools completed a paper-and-pencil questionnaire containing sociodemographic variables and a food frequency questionnaire about their child's diet and psychosocial variables. Subsequently, a subset of parents was asked to either complete a paper-and-pencil food diary or the Young Children's Nutrition Assessment on the Web (n=88); those remaining who provided e-mail addresses were asked to complete the Young Children's Nutrition Assessment on the Web (n=467) and a user-acceptability questionnaire. This resulted in 39 useful paper-and-pencil diaries, 217 useful Young Children's Nutrition Assessments on the Web, and 164 user-acceptability questionnaires. Mann-Whitney U tests comparing nutrient (macronutrients, vitamin C, calcium, and fiber) and food group intakes from data collected with the Young Children's Nutrition Assessment on the Web vs paper-and-pencil diaries resulted in no substantial differences except for water. Attrition analyses indicated that dropout for the online Assessment was associated with the sex of the respondent (father completing the questionnaire), lower social status, being a smoker, and lower Nutrition knowledge. The online measure was well-received by respondents. The majority found it user-friendly (79%), attractive (68%), and clear (93%). The Young Children's Nutrition Assessment on the Web is a promising tool to collect online dietary data in large-scale surveys.

  • Young adolescents' Nutrition Assessment on computer (YANA-C)
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, C A Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    Objective:To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’.Design:Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2).Main outcome measures:Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron).Subjects and setting:A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n =136; study 2: n =101) in Belgium-Flanders.Results:YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers ( κ _study 1=0.48–0.92; κ _study 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively.Conclusion:YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

  • young adolescents Nutrition Assessment on computer yana c
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’. Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2). Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron). A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n=136; study 2: n=101) in Belgium-Flanders. YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers (κstudy 1=0.48–0.92; κstudy 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively. YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

Carine Vereecken - One of the best experts on this subject based on the ideXlab platform.

  • Feasibility of the Young Children's Nutrition Assessment on the Web.
    Journal of the American Dietetic Association, 2009
    Co-Authors: Carine Vereecken, Marc Covents, Denise L. Haynie, Lea Maes
    Abstract:

    Methods to assess detailed dietary data are cumbersome, expensive, and difficult to implement with large samples. The purpose of the present article was to evaluate the feasibility of collecting data from parents about their child's diet using an online dietary Assessment tool. The Young Children's Nutrition Assessment on the Web was developed as part of a longitudinal study of familial influences on food intake of preschool children. A sample of 862 parents from 56 nursery schools completed a paper-and-pencil questionnaire containing sociodemographic variables and a food frequency questionnaire about their child's diet and psychosocial variables. Subsequently, a subset of parents was asked to either complete a paper-and-pencil food diary or the Young Children's Nutrition Assessment on the Web (n=88); those remaining who provided e-mail addresses were asked to complete the Young Children's Nutrition Assessment on the Web (n=467) and a user-acceptability questionnaire. This resulted in 39 useful paper-and-pencil diaries, 217 useful Young Children's Nutrition Assessments on the Web, and 164 user-acceptability questionnaires. Mann-Whitney U tests comparing nutrient (macronutrients, vitamin C, calcium, and fiber) and food group intakes from data collected with the Young Children's Nutrition Assessment on the Web vs paper-and-pencil diaries resulted in no substantial differences except for water. Attrition analyses indicated that dropout for the online Assessment was associated with the sex of the respondent (father completing the questionnaire), lower social status, being a smoker, and lower Nutrition knowledge. The online measure was well-received by respondents. The majority found it user-friendly (79%), attractive (68%), and clear (93%). The Young Children's Nutrition Assessment on the Web is a promising tool to collect online dietary data in large-scale surveys.

  • Young adolescents' Nutrition Assessment on computer (YANA-C)
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, C A Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    Objective:To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’.Design:Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2).Main outcome measures:Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron).Subjects and setting:A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n =136; study 2: n =101) in Belgium-Flanders.Results:YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers ( κ _study 1=0.48–0.92; κ _study 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively.Conclusion:YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

  • young adolescents Nutrition Assessment on computer yana c
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’. Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2). Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron). A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n=136; study 2: n=101) in Belgium-Flanders. YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers (κstudy 1=0.48–0.92; κstudy 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively. YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

Elisabeth Isenring - One of the best experts on this subject based on the ideXlab platform.

  • A novel, automated Nutrition screening system as a predictor of Nutritional risk in an oncology day treatment unit (ODTU)
    Supportive Care in Cancer, 2014
    Co-Authors: Jessica Abbott, Laisa Teleni, Daniel Mckavanagh, J. Watson, Alexandra L. Mccarthy, Elisabeth Isenring
    Abstract:

    Purpose Paper-based Nutrition screening tools can be challenging to implement in the ambulatory oncology setting. The aim of this study was to determine the validity of the MalNutrition Screening Tool (MST) and a novel, automated Nutrition screening system compared to a ‘gold standard’ full Nutrition Assessment using the Patient-Generated Subjective Global Assessment (PG-SGA).

  • malNutrition screening tools comparison against two validated Nutrition Assessment methods in older medical inpatients
    Nutrition, 2013
    Co-Authors: Merrilyn Banks, Elisabeth Isenring, Adrienne M Young, Sarah Kidston, Alison M Mudge
    Abstract:

    Objective Although several validated Nutritional screening tools have been developed to “triage” inpatients for malNutrition diagnosis and intervention, there continues to be debate in the literature as to which tool/tools clinicians should use in practice. This study compared the accuracy of seven validated screening tools in older medical inpatients against two validated Nutritional Assessment methods. Methods This was a prospective cohort study of medical inpatients at least 65 y old. MalNutrition screening was conducted using seven tools recommended in evidence-based guidelines. Nutritional status was assessed by an accredited practicing dietitian using the Subjective Global Assessment (SGA) and the Mini-Nutritional Assessment (MNA). Energy intake was observed on a single day during first week of hospitalization. Results In this sample of 134 participants (80 ± 8 y old, 50% women), there was fair agreement between the SGA and MNA (κ = 0.53), with MNA identifying more “at-risk” patients and the SGA better identifying existing malNutrition. Most tools were accurate in identifying patients with malNutrition as determined by the SGA, in particular the MalNutrition Screening Tool and the Nutritional Risk Screening 2002. The MNA Short Form was most accurate at identifying Nutritional risk according to the MNA. No tool accurately predicted patients with inadequate energy intake in the hospital. Conclusion Because all tools generally performed well, clinicians should consider choosing a screening tool that best aligns with their chosen Nutritional Assessment and is easiest to implement in practice. This study confirmed the importance of rescreening and monitoring food intake to allow the early identification and prevention of Nutritional decline in patients with a poor intake during hospitalization.

  • Nutrition screening practices in Australian healthcare facilities: A decade later
    Nutrition & Dietetics, 2010
    Co-Authors: Maree Ferguson, Merrilyn Banks, Judy Bauer, Elisabeth Isenring, Angela Vivanti, Sandra Capra
    Abstract:

    Aim:  Nutrition screening can identify patients at risk for malNutrition so that early Nutrition intervention can be initiated. The aim of this descriptive study was to compare Nutrition screening practices in Australian hospitals in 2008 with those in 1995. Methods:  A survey on Nutrition screening practices in Australian healthcare institutions was sent to members of the Dietitians Association of Australia in 1995 and a similar survey in 2008. Results:  Sixty-eight hospitals responded to the 2008 survey and 124 hospitals to the 1995 survey. The number of hospitals reporting the conduct of Nutrition screening has increased since 1995 (78% vs 23%). The number of patients being screened has also increased (all admissions 54% vs 35%) and the time taken to screen a patient has decreased (0–5 minutes 64% vs 13%). The MalNutrition Screening Tool was the most frequently reported screening tool used in 2008 (67%). The use of albumin as a Nutrition screening parameter (which was the second most commonly used screening indicator after weight loss in 1995) has appropriately decreased (9% vs 65%). There is still some confusion among dietitians as to the definition of screening, with Nutrition Assessment tools such as Subjective Global Assessment and Mini-Nutritional Assessment being used during the Nutrition screening process (16% in 2008). Insufficient time and staff are still the top two barriers to Nutrition screening implementation. Staff training was the most frequently cited strategy to assist with successful implementation of Nutrition screening. Conclusion:  There has been a significant increase in malNutrition screening over the past decade despite ongoing barriers to implementation.

  • Nutritional Screening in Community-dwelling Older Adults: A Systematic Literature Review
    Asia Pacific journal of clinical nutrition, 2010
    Co-Authors: Megan B Phillips, Elisabeth Isenring, Amanda Foley, Robert Barnard, Michelle Miller
    Abstract:

    Nutrition screening is a process used to quickly identify those who may be at risk of malNutrition so that a full Nutrition Assessment and appropriate Nutrition intervention can be provided. While many Nutrition screening tools have been developed, few have been evaluated for use in older adults in the community setting. The aim of this paper is to determine the most appropriate Nutrition screening tool/s, in terms of validity and reliability, for identifying malNutrition risk in older adults living in the community. Electronic databases MEDLINE, PUBMED, CINAHL and the Cochrane Library were searched for Nutrition screening tools to identify malNutrition or under-Nutrition for adults greater than 65 years living in the community. Ten screening tools were found for use in community-dwelling older adults and subjected to validity and/or reliability testing: Mini Nutritional Assessment-Short Form (MNA-SF), MalNutrition Universal Screening Tool (MUST), Nutrition Screening Initiative (NSI), which includes the DETERMINE Checklist and Level I and II Screen, Australian Nutritional Screening Initiative (ANSI), Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN I and SCREEN II), Short Nutritional Assessment Questionnaire (SNAQ), Simplified Nutritional Appetite Questionnaire (SNAQ), and two unnamed tools. MNA-SF appears to be the most appropriate Nutrition screening tool for use in community-dwelling older adults although MUST and SCREEN II also have evidence to support their use. Further research into the acceptability of screening tools focusing on the outcomes of Nutrition screening and appropriate Nutrition intervention are required.

  • a quality improvement Nutrition screening and intervention program available to home and community care eligible clients
    Nutrition & Dietetics, 2008
    Co-Authors: Marion Leggo, Merrilyn Banks, Elisabeth Isenring, Lynette Stewart, Margaret Tweeddale
    Abstract:

    Objective: To develop and implement a Nutrition screening and dietetic referral system for Home and Community Care (HACC) eligible clients.----- Design: Quality improvement project utilising a prospective, observational design.----- Setting: Sixteen Australian organisations caring for HACC eligible clients.----- Subjects: One thousand one hundred and forty-five HACC eligible clients (mean age 76.5 ± 7.2 years) were screened for Nutritional risk during 2003–2005.----- Interventions: Nutrition screening was conducted by trained project officers, allied health staff, community care coordinators and nursing staff using a modified version of the malNutrition screening tool (MST). Dietitians performed a Nutrition Assessment using the scored Patient Generated-Subjective Global Assessment (PG-SGA) and provided individualised Nutrition counselling for those identified to be at risk of malNutrition and agreeing to treatment.----- Results: According to the MST, 170 clients (15%) were identified as being at risk of malNutrition. Of these, 75 (44%) agreed to the dietetic referral and PG-SGA Assessment, and 57 were subsequently assessed as malnourished (PG-SGA category B or C), suggesting a malNutrition prevalence between 5% and 11%. Of the 34 malnourished clients receiving multiple dietetic reviews (mean 4.1 ± 2.0 per client), 28 improved, with 17 achieving a well-nourished PG-SGA A rating.----- Conclusion: The development and implementation of a Nutrition screening and referral system can identify HACC eligible clients who would benefit from services provided by a dietitian. Further research should identify the reasons why some HACC eligible clients are reluctant to be referred to a dietitian.

Marc Covents - One of the best experts on this subject based on the ideXlab platform.

  • Feasibility of the Young Children's Nutrition Assessment on the Web.
    Journal of the American Dietetic Association, 2009
    Co-Authors: Carine Vereecken, Marc Covents, Denise L. Haynie, Lea Maes
    Abstract:

    Methods to assess detailed dietary data are cumbersome, expensive, and difficult to implement with large samples. The purpose of the present article was to evaluate the feasibility of collecting data from parents about their child's diet using an online dietary Assessment tool. The Young Children's Nutrition Assessment on the Web was developed as part of a longitudinal study of familial influences on food intake of preschool children. A sample of 862 parents from 56 nursery schools completed a paper-and-pencil questionnaire containing sociodemographic variables and a food frequency questionnaire about their child's diet and psychosocial variables. Subsequently, a subset of parents was asked to either complete a paper-and-pencil food diary or the Young Children's Nutrition Assessment on the Web (n=88); those remaining who provided e-mail addresses were asked to complete the Young Children's Nutrition Assessment on the Web (n=467) and a user-acceptability questionnaire. This resulted in 39 useful paper-and-pencil diaries, 217 useful Young Children's Nutrition Assessments on the Web, and 164 user-acceptability questionnaires. Mann-Whitney U tests comparing nutrient (macronutrients, vitamin C, calcium, and fiber) and food group intakes from data collected with the Young Children's Nutrition Assessment on the Web vs paper-and-pencil diaries resulted in no substantial differences except for water. Attrition analyses indicated that dropout for the online Assessment was associated with the sex of the respondent (father completing the questionnaire), lower social status, being a smoker, and lower Nutrition knowledge. The online measure was well-received by respondents. The majority found it user-friendly (79%), attractive (68%), and clear (93%). The Young Children's Nutrition Assessment on the Web is a promising tool to collect online dietary data in large-scale surveys.

  • Young adolescents' Nutrition Assessment on computer (YANA-C)
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, C A Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    Objective:To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’.Design:Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2).Main outcome measures:Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron).Subjects and setting:A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n =136; study 2: n =101) in Belgium-Flanders.Results:YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers ( κ _study 1=0.48–0.92; κ _study 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively.Conclusion:YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

  • young adolescents Nutrition Assessment on computer yana c
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’. Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2). Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron). A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n=136; study 2: n=101) in Belgium-Flanders. YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers (κstudy 1=0.48–0.92; κstudy 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively. YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

Christophe Matthys - One of the best experts on this subject based on the ideXlab platform.

  • Young adolescents' Nutrition Assessment on computer (YANA-C)
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, C A Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    Objective:To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’.Design:Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2).Main outcome measures:Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron).Subjects and setting:A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n =136; study 2: n =101) in Belgium-Flanders.Results:YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers ( κ _study 1=0.48–0.92; κ _study 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively.Conclusion:YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.

  • young adolescents Nutrition Assessment on computer yana c
    European Journal of Clinical Nutrition, 2005
    Co-Authors: Carine Vereecken, Marc Covents, Christophe Matthys, Lea Maes
    Abstract:

    To assess the relative validity and acceptability of the computerised 24-h recall ‘Young Adolescent's Nutrition Assessment on Computer (YANA-C)’. Food and nutrient intakes assessed with YANA-C were compared with food records (study 1) and 24-h dietary recall interviews (study 2). Intakes of food groups (fruit, fruit juice, vegetables, potatoes, bread, cereals, milk, cheese, other milk products, soft drinks, diet soft drinks, sugar/sweets, pastry/cookies, savoury snacks, butter/sauces, eggs, fish, meat) and nutrients (energy, carbohydrates, protein, fat, fiber, calcium, vitamin C and iron). A total of 237 pupils (11–14 y) from two primary and four secondary schools (study 1: n=136; study 2: n=101) in Belgium-Flanders. YANA-C proved to agree well with both standard methods in categorizing subjects in consumers and nonconsumers (κstudy 1=0.48–0.92; κstudy 2=0.38–0.90). Spearman's correlations for energy and nutrient intakes ranged between 0.44 and 0.79 for study 1 and between 0.44 and 0.86 for study 2. Nutrient and energy intakes were in general (excluding calcium) significantly higher in YANA-C in comparison with the food record, but not in comparison with the interview (only fiber). Statistics used to investigate whether YANA-C agreed with the other methods in ranking portions/amounts in consumers only were fair to moderate for most of the food groups (weighted κ study 1=0.11–0.55; study 2=0.04–0.73); amounts in consumers only, were significantly lower in YANA-C against both standards for cereals; amounts were significantly higher in YANA-C against the food record for milk, soft drinks, sugar/sweets and savoury snacks and against the interview for potatoes. Only a few pupils evaluated the program negatively. YANA-C is a promising method to collect detailed dietary information from young adolescents with relatively low staff resources, useful in many Nutrition research applications.