Validity and reproducibility of a food frequency questionnaire to assess food group intake in adolescents

Martinez, Marcelle Flores; Philippi, Sônia Tucunduva; Estima, Camilla Chermont Prochnik; Leal, Greisse Viero da Silva

doi:10.1590/s0102-311x2013001300019

Cited by 27 publications

(23 citation statements)

References 26 publications

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“…Fourteen original articles retrieved through the mentioned systematic literature review and two more papers updated to May 2015 (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36) were identified as studies assessing the validation of FFQ against reference dietary instruments, translating the food intakes into nutrient intakes and targeting adolescent populations in the age range 13-17 years (Table 1). A high variability was highlighted between the studies (5) .…”

Section: Resultsmentioning

confidence: 99%

“…The study-specific ES and 95 % CI are represented by the black diamond and horizontal line, respectively; the area of the grey square is proportional to the specific-study weight to the overall meta-analysis. The centre of the open diamond presents the pooled ES and its width represents the pooled 95 % CI (21) Araujo et al (2010) (22) Bertoli et al (2005) (23) Cullen et al (2008) (24) Dechamps et al (2009) (25) Hong et al (2010) (26) Lietz et al (2002) (27) Martinez et al (2013) (28) Nurul-Fadhilah et al (2012) (29) Papadopoulou et al (2008) (30) Slater et al (2003) (33) Vereecken et al (2010) (34) Subtotal ( (21) Araujo et al (2010) (22) Bertoli et al (2005) (23) Cullen et al (2008) (24) Dechamps et al (2009) (25) Hong et al (2010) (26) Martinez et al (2013) (27) Nurul-Fadhilah et al (2012) (29) Slater et al (2003) (33) Watson et al (2009) (36) Subtotal ( High study quality…”

Section: Meta-analysis Study Of Correlation Coefficientsmentioning

confidence: 99%

“…The study-specific SMD and 95 % CI are represented by the black diamond and horizontal line, respectively; the area of the grey square is proportional to the specific-study weight to the overall meta-analysis. The centre of the open diamond presents the pooled SMD and its width represents the pooled 95 % CI After exclusion of the outliers (28,31) and sensitivity analysis for MUFA, the effect remained low/medium and the heterogeneity decreased for SA administration mode (SMD = 0·31, 95 % CI −0·12, 0·73; I 2 = 72·7 %, P = 0·055) and household units (SMD = 0·23, 95 % CI 0·13, 0·33; I 2 = 3·6 %, P = 0·308).…”

Section: Meta-analysis Study Of Correlation Coefficientsmentioning

confidence: 99%

“…With regard to kappa agreement, five studies reported the related values for macronutrients (22,23,26,28,34) ranging from fair to moderate agreement (Table 4), with a mean κ w of 0·43 for energy, 0·29 for protein, 0·40 for carbohydrate, 0·29 for total fat and 0·36 for Ca. Lower κ w values were found only for PUFA (0·15) (28) , protein (0·16) (23) , SFA (0·18) and vitamin C (0·17) (28) intakes. An overall good ranking ability was evidenced by data of percentiles.…”

Section: Meta-analysis Study Of Correlation Coefficientsmentioning

confidence: 99%

“…An overall good ranking ability was evidenced by data of percentiles. Eleven studies calculated the percentage of subjects' ranking (21)(22)(23)(25)(26)(27)(28)(29)(30)(31)34) through the quintile, quartile or tertile method, reporting good ranges of agreement and low ranges of disagreement (Table 4).…”

Section: Meta-analysis Study Of Correlation Coefficientsmentioning

confidence: 99%

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A meta-analysis of the validity of FFQ targeted to adolescents

Tabacchi

Filippi

Amodio

et al. 2015

Public Health Nutr.

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Objective: The present work is aimed at meta-analysing validity studies of FFQ for adolescents, to investigate their overall accuracy and variables that can affect it negatively. Design: A meta-analysis of sixteen original articles was performed within the ASSO Project (Adolescents and Surveillance System in the Obesity prevention). Setting: The articles assessed the validity of FFQ for adolescents, compared with food records or 24 h recalls, with regard to energy and nutrient intakes. Subjects: Pearson's or Spearman's correlation coefficients, means/standard deviations, kappa agreement, percentiles and mean differences/limits of agreement (Bland-Altman method) were extracted. Pooled estimates were calculated and heterogeneity tested for correlation coefficients and means/standard deviations. A subgroup analysis assessed variables influencing FFQ accuracy. Results: An overall fair/high correlation between FFQ and reference method was found; a good agreement, measured through the intake mean comparison for all nutrients except sugar, carotene and K, was observed. Kappa values showed fair/ moderate agreement; an overall good ability to rank adolescents according to energy and nutrient intakes was evidenced by data of percentiles; absolute validity was not confirmed by mean differences/limits of agreement. Interviewer administration mode, consumption interval of the previous year/6 months and high number of food items are major contributors to heterogeneity and thus can reduce FFQ accuracy. Conclusions:The meta-analysis shows that FFQ are accurate tools for collecting data and could be used for ranking adolescents in terms of energy and nutrient intakes. It suggests how the design and the validation of a new FFQ should be addressed. Keywords Meta-analysis Validity FFQ AdolescentSemi-quantitative FFQ are valid and reliable dietary assessment methods used worldwide on adolescents and are suggested as appropriate tools for the collection of dietary intake data in large-scale surveys (1,2) , since they have the advantages of ease of administration, saving of economic resources and ability to assess dietary intake over an extended period of time (3) . Among all the used FFQ, large variations in design characteristics have been highlighted (4) , such as number of food items or consumption interval.Our recent systematic literature review (5) identified the FFQ used in adolescents and validated during the last decade throughout the world. One of the aspects emphasized by the review is that there is an ongoing need for the refinement of existing approaches, especially ones that can be used in large epidemiological studies.When preparing the tools for dietary data collection, the specific design and validation issues of the data collecting instrument have to be taken into account. There are many factors that may affect the accuracy of a dietary questionnaire such as respondent characteristics, questionnaire design and quantification, adequacy of the reference data, quality control and data management (6) , including ...

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