Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)

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  • dc.contributor.author Martinez-Perez, Celia
  • dc.contributor.author Schröder, Helmut, 1958-
  • dc.contributor.author Zomeño Fajardo, Maria Dolores
  • dc.contributor.author Pérez-Vega, Karla Alejandra
  • dc.contributor.author Malcampo, Mireia
  • dc.contributor.author San-Cristobal, Rodrigo
  • dc.date.accessioned 2022-09-22T07:01:51Z
  • dc.date.available 2022-09-22T07:01:51Z
  • dc.date.issued 2022
  • dc.description.abstract Background: Recent lifestyle changes include increased consumption of highly processed foods (HPF), which has been associated with an increased risk of non-communicable diseases (NCDs). However, nutritional information relies on the estimation of HPF consumption from food-frequency questionnaires (FFQ) that are not explicitly developed for this purpose. We aimed to develop a short screening questionnaire of HPF consumption (sQ-HPF) that integrates criteria from the existing food classification systems. Methods: Data from 4400 participants (48.1% female and 51.9% male, 64.9 ± 4.9 years) of the Spanish PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial were used for this analysis. Items from the FFQ were classified according to four main food processing-based classification systems (NOVA, IARC, IFIC and UNC). Participants were classified into tertiles of HPF consumption according to each system. Using binomial logistic regression, food groups associated with agreement in the highest tertile for at least two classification systems were chosen as items for the questionnaire. ROC analysis was used to determine cut-off points for the frequency of consumption of each item, from which a score was calculated. Internal consistency of the questionnaire was assessed through exploratory factor analysis (EFA) and Cronbach's analysis, and agreement with the four classifications was assessed with weighted kappa coefficients. Results: Regression analysis identified 14 food groups (items) associated with high HPF consumption for at least two classification systems. EFA showed that items were representative contributors of a single underlying factor, the "HPF dietary pattern" (factor loadings around 0.2). We constructed a questionnaire asking about the frequency of consumption of those items. The threshold frequency of consumption was selected using ROC analysis. Comparison of the four classification systems and the sQ-HPF showed a fair to high agreement. Significant changes in lifestyle characteristics were detected across tertiles of the sQ-HPF score. Longitudinal changes in HPF consumption were also detected by the sQ-HPF, concordantly with existing classification systems. Conclusions: We developed a practical tool to measure HPF consumption, the sQ-HPF. This may be a valuable instrument to study its relationship with NCDs. Trial registration: Retrospectively registered at the International Standard Randomized Controlled Trial Registry ( ISRCTN89898870 ) on July 24, 2014.
  • dc.description.sponsorship The following funding bodies contributed to study concept and design, research, and data collection for the PREDIMED-Plus study. The PREDIMED-Plus trial was supported by the European Research Council (Advanced Research grant 2014–2019; agreement #340918; granted to M.A.M-G.); the official Spanish institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII) through the Fondo de Investigación para la Salud (FIS) which is co-funded by the European Regional Development Fund (coordinated FIS projects led by J.S-S. and J.V., including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332), and the Especial Action Project “Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus” (J.S-S.); the Recercaixa (grant number 2013ACUP00194) (J.S-S.). Moreover, J.S-S. gratefully acknowledges the financial support by ICREA under the ICREA Academia program; the SEMERGEN grant; Department of Health of the Government of Navarra (61/2015), the Fundació La Marató de TV (Ref. 201630.10); the AstraZeneca Young Investigators Award in Category of Obesity and T2D 2017 (D.R.); grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013; PS0358/2016; PI0137/2018), the PROMETEO/2017/017 grant from the Generalitat Valenciana, the SEMERGEN grant; grant of support to research groups 35/2011 (Balearic Islands Government; FEDER funds) (J.A.T.). J.K. was financially supported by the Juan de la Cierva-Incorporación research grant (IJC2019–042420-I) of the Spanish Ministry of Economy, Industry and Competitiveness and the European Social Funds. The following funding bodies contributed to data preparation and analysis, bibliographic research, and manuscript writing. The METHYL-UP project was supported by the Spanish Ministry of Science and Innovation (RTI2018–095569-B-I00, Programa de Proyectos Orientados a los Retos de la Sociedad “Projects Toward Society Challenges Program”). R.S.-C. acknowledges financial support from the Juan de la Cierva Program Training Grants of the Spanish State Research Agency of the Spanish Ministerio de Ciencia e Innovación y Ministerio de Universidades (FJC2018–038168- I). C.M.-P. was financially supported by a joint grant from the Community of Madrid and the European Social Fund (PEJD-2019-POST/SAL-15892). C. C.-M. was financially supported by the Formación de Personal Investigador (FPI) grant from the Spanish Ministerio de Ciencia, Innovación y Universidades (PRE2019–087643).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Martinez-Perez C, Daimiel L, Climent-Mainar C, Martínez-González MÁ, Salas-Salvadó J, Corella D et al. Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF). Int J Behav Nutr Phys Act. 2022 Jan 24;19(1):6. DOI: 10.1186/s12966-021-01240-6
  • dc.identifier.doi http://dx.doi.org/10.1186/s12966-021-01240-6
  • dc.identifier.issn 1479-5868
  • dc.identifier.uri http://hdl.handle.net/10230/54146
  • dc.language.iso eng
  • dc.publisher BioMed Central
  • dc.relation.ispartof Int J Behav Nutr Phys Act. 2022 Jan 24;19(1):6
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/340918
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/RTI2018–095569-B-I00
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/FJC2018–038168- I
  • dc.rights © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword Food processing-based classification
  • dc.subject.keyword Highly processed food
  • dc.subject.keyword NOVA
  • dc.subject.keyword PREDIMED-Plus
  • dc.subject.keyword Questionnaire
  • dc.subject.keyword Ultra-processed food
  • dc.title Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion