Efeito do dia e do número de dias de aplicação na reprodutibilidade de um questionário de avaliação do consumo alimentar de escolares

Perazi, Fernanda Machado; Kupek, Emil; Assis, Maria Alice Altenburg de; Pereira, Luciana Jeremias; Cezimbra, Vanessa Guimarães; Oliveira, Marina Tissok de; Vieira, Francilene Gracieli Kundradi; Pietro, Patrícia Faria Di; Hinnig, Patrícia de Fragas

doi:10.1590/1980-549720200084

Cited by 8 publications

(9 citation statements)

References 30 publications

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“…Most of the technologies were developed in Europe (37 %) (17)(18)(19)(20)(21)(22)(23)(24)(25)33,(39)(40)(41)(42)(43) , North America (32⋅6 %) (26)(27)(28)(29)(30)(31)(32) and Oceania (10⋅9 %) (38,(95)(96)(97)(98) . The most widely used traditional dietary assessment method used in the tools was 24HR (56⋅5 %; n 26) (39)(40)(41)(42)(43)(44)(45)(46)(47)(48)52,60,61,(77)(78)(79)(80)(81)85,86,89,90,(94)(95)…”

Section: Resultsmentioning

confidence: 99%

“…The most widely used traditional dietary assessment method used in the tools was 24HR (56⋅5 %; n 26) (39)(40)(41)(42)(43)(44)(45)(46)(47)(48)52,60,61,(77)(78)(79)(80)(81)85,86,89,90,(94)(95)(96)(97)(99)(100)(101)(102)(103)(104)(105)(106)(107) . Thirty technologies (65⋅2 %) were selfadministered (17)(18)(19)(20)(21)(22)(23)(24)(25)(33)(34)(35)(36)(37)(38)(44)…”

Section: Resultsmentioning

confidence: 99%

“…The primary data collection settings were home and school. Approximately 27 % of the technologies were used exclusively at home (17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(38)(39)(40)(41)(42)(43)(54)(55)(56)(57)65,67,68,71,84,85,(87)(88)(89)(90)(91)98,99,101,106,107) , 22⋅6 % at school (33)(34)(35)(36)(37)(44)(45)(46)(47)(48)…”

Section: Resultsmentioning

confidence: 99%

“…Other technologies frequently mentioned in the studies were Web-CAAFE and EPIC-Soft. The former, developed in Brazil, was cited in five articles (44)(45)(46)(47)(48) , including three validation studies (37,44,45) . This software is webbased, self-administered by children 7-15 years of age, and features a list of 300 groups of foods and beverages (44)(45)(46)(47)(48) .…”

Section: Discussionmentioning

confidence: 99%

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Technological tools for assessing children's food intake: a scoping review

Mata

Freitas²,

Crispim³

et al. 2023

J Nutr Sci

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Technological innovations can standardise and minimise reporting errors in dietary assessment. This scoping review aimed to summarise the characteristics of technological tools used to assess children's food intake. The review followed the Joanna Briggs Institute's manual. The main inclusion criterion was studied that assessed the dietary intake of children 0–9 years of age using technology. We also considered articles on validation and calibration of technologies. We retrieved 15 119 studies and 279 articles were read in full, after which we selected 93 works that met the eligibility criteria. Forty-six technologies were identified, 37 % of which had been developed in Europe and 32⋅6 % in North America; 65⋅2 % were self-administered; 27 % were used exclusively at home; 37 % involved web-based software and more than 80 % were in children over 6 years of age. 24HR was the most widely used traditional method in the technologies (56⋅5 %), and 47⋅8 % of the tools were validated. The review summarised helpful information for studies on using existing tools or that intend to develop or validate tools with various innovations. It focused on places with a shortage of such technologies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Technological tools for assessing children's food intake: a scoping review

Mata

Freitas²,

Crispim³

et al. 2023

J Nutr Sci

View full text Add to dashboard Cite

show abstract

“…Usability tests showed child capacity to understand and respond to Web‐CAAFE (Costa et al, 2013). Concerning food consumption, a reproducibility test showed moderate‐to‐high values of intraclass correlation coefficients (Perazi et al, 2020). Validity tests of the food consumption section, using direct observation at school meals as the reference method, showed 43% matches, 29% intrusions and 28% omissions (Davies et al, 2015), placing this questionnaire's accuracy close to that of other similar instruments (Baranowski et al, 2002; Diep et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Most meal and snack patterns are stable over a 3‐year period in schoolchildren in southern Brazil

et al. 2022

Self Cite

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This study aimed to identify meal and snack patterns in Brazilian schoolchildren and assess their stability over 3 years. This is a repeated cross-sectional study carried out in 2013, 2014 and 2015 with 6353 schoolchildren aged 7-12 years from public schools in Florianópolis, Brazil. Previous-day food consumption data for six pre-defined meals (breakfast, mid-morning snack, lunch, mid-afternoon snack, dinner and evening snack) were collected using the validated Web-CAAFE (Food Consumption and Physical Activity of Schoolchildren) questionnaire. Latent class analysis was performed to derive meal and snack patterns.The stability of patterns was analysed using multinomial logistic regression, and the probability of belonging to a meal pattern was calculated for each year. Three patterns were identified for breakfast and four patterns for a mid-morning snack, lunch, mid-afternoon snack, dinner and evening snack. Most meal and snack patterns were stable over the 3-year evaluation period. In the total sample, for a mid-afternoon snack, there was an increase in the probability of the children belonging to the 'Fruits and porridge' pattern (14.5%, 95% CI 12%-17% in 2015 vs. 9.2%, 95% CI 6.8%-11.7% in 2013) and a reduction in the 'Ultra-processed'

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