Food Intake Recording Software System, version 4 (FIRSSt4): a self‐completed 24‐h dietary recall for children

Baranowski, Tom; Islam, Noemi; Douglass, Deirdre; Dadabhoy, Hafza; Beltran, Alicia; Baranowski, Janice; Thompson, Debbe; Cullen, Karen Weber; Subar, Amy F.

doi:10.1111/j.1365-277x.2012.01251.x

Cited by 40 publications

(43 citation statements)

References 31 publications

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“…Investigators did note age-specific adaptations to some of the 24HDR tools including the use of cartoon avatars (56,57) and portion size pictures specifically developed for children (56,57) . Baranowski et al (57) and subequently Diep et al (19) used adapted versions of the National Cancer Institute's Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24 ® )…”

Section: Tool Design Characteristicsmentioning

confidence: 99%

A review of the design and validation of web- and computer-based 24-h dietary recall tools

et al. 2016

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Access to the full text of the published version may require a subscription. Rights © The Authors 2016. Published by Cambridge University Press(CUP) on behalf of The Nutrition Society.Embargo information Access to this item is restricted until 12 months after publication by the request of the publisher. (24HDR) method is currently the most utilised method for the collection of dietary intake data at a national level. Recently there have been many developments using web-based platforms to collect food intake data using the principles of the 24HDR method. This review identifies web-and computer-based 24HDR tools that have been developed for both children and adult population groups, and examines common design features and the methods used to investigate the performance and validity of these tools. Overall, there is generally good to strong agreement between web-based 24HDR and respective reference measures for intakes of macro-and micronutrients. Embargo lift date

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Section: Tool Design Characteristicsmentioning

confidence: 99%

A review of the design and validation of web- and computer-based 24-h dietary recall tools

et al. 2016

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“…Through formative evaluation (e.g., focus groups with children), several countries developed extensive databases of food items, images, and automated prompts that guide children or their parents in the recall of foods and portion sizes consumed. FIRSSt4 (United States) [11], Web-DASC (Denmark) [12], and EPIC-Soft (trans-Europe) [13,14] each showed promising results in terms of feasibility and usability; however, further testing to establish validity and reliability is needed.…”

Section: Measurement Studiesmentioning

confidence: 99%

Current Trends in Childhood Obesity Research

2012

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Childhood obesity is a global health issue. To identify research trends and gaps of childhood obesity research, we reviewed MEDLINE publications from January 2011 to May 2012 and qualitatively analyzed the major domains and themes of research focus. Major domains are: measurements, obesity correlates, prevention interventions, treatment interventions, and policy issues. Key advances and innovations are highlighted within each domain. Emerging areas include the advancement of measurement methodologies that simultaneously capture individual and contextual information across time, analysis of policy problems, and the development of multilevel, community interventions. However, few effective and sustainable interventions are exemplified; some strategies are promising. Recommendations for future research includes the adoption of a systems approach that integrates individual, environmental, and policy change, the scale up and diffusion of innovations, studies of intended and unintended policy impacts, and the design and testing of effective social marketing strategies.

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“…7,8 For children, having child-generated food categories, 9-11 pictures of foods, 12 and different sizes of food images on the same screen 13 may help improve recall speed and/or accuracy. 14 Examples of computerized 24hDRs include the Food Intake Recording Software System (FIRSST), 15,16 the Young Adolescents’ Nutrition Assessment on Computer (YANA-C), 8,17,18 and the Automated Self-Administered 24-hour Dietary Recall for children (ASA24-Kids). 14 The last is available free of charge through the U.S. National Cancer Institute (NCI) website.…”

Section: Introductionmentioning

confidence: 99%

“…14 The last is available free of charge through the U.S. National Cancer Institute (NCI) website. 19 ASA24-Kids was adapted from an adult version, ASA24, 20 by a collaborative team of researchers knowledgeable in diet assessment, 14,16 and collects data for all foods and drinks consumed the previous day using a web-based interface. Both the number of foods and probes in the adult version of ASA24 were reduced by approximately 50% to simplify responses and burden in ASA24-Kids.…”

Section: Introductionmentioning

confidence: 99%

The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study

Diep¹,

Hingle²,

Chen³

et al. 2015

Journal of the Academy of Nutrition and Dietetics

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Background Valid methods of diet assessment are important for nutrition research and practice but can be difficult with children. Objective To validate ASA24-Kids-2012, a self-administered web-based 24-hour dietary recall (24hDR) among 9-11-year-old children, in two sites. Design Quasi-experimental Participants/setting In one site, trained staff observed and recorded foods and drinks consumed by children (n=38) during school lunch. The next day, the observed children completed both ASA24-Kids-2012 and an interviewer-administered 24hDR in a randomized order. Procedures in a second site (n=31) were similar, except observations occurred during dinner in a community location. Statistical analyses Foods were classified as matches (reported and consumed), intrusions (reported, but not consumed), or omissions (not reported, but consumed) for each participant. Rates of matches, intrusions, and omissions were calculated. Rates were compared between each recall method using repeated measures analysis of covariance. For matched foods, the authors determined correlation coefficients between observed and reported serving sizes. Results Match, intrusion, and omission rates between ASA24-Kids-2012 and observed intakes in site 1 were 37%, 27%, and 35%, respectively. Comparable rates for interviewer-administered 24hDRs were 57%, 20%, and 23%, respectively. In site 2, match, intrusion, and omission rates between ASA24-Kids-2012 and observed intakes were 53%, 12%, and 36%, respectively, vs. 76% matches, 9% intrusions, and 15% omissions for interviewer-administered 24hDRs. The relationship strength between reported and observed serving sizes for matched foods was 0.18 in site 1 and 0.09 in site 2 for ASA24-Kids-2012, and 0.46 in site 1 and 0.11 in site 2 for interviewer-administered 24hDRs. Conclusions ASA24-Kids-2012 was less accurate than interviewer-administered 24hDRs when compared to observed intakes, but both performed poorly. Additional research should assess the age at which children can complete recalls without the help of a parent or guardian, as well as to elucidate under which circumstances recalls can reasonably be used among children.

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Food Intake Recording Software System, version 4 (FIRSSt4): a self‐completed 24‐h dietary recall for children

Cited by 40 publications

References 31 publications

A review of the design and validation of web- and computer-based 24-h dietary recall tools

A review of the design and validation of web- and computer-based 24-h dietary recall tools

Current Trends in Childhood Obesity Research

The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study

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