TY - JOUR
T1 - Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)
AU - Martinez-Perez, Celia
AU - Daimiel, Lidia
AU - Climent-Mainar, Cristina
AU - Martínez-González, Miguel Ángel
AU - Salas-Salvadó, Jordi
AU - Corella, Dolores
AU - Schröder, Helmut
AU - Martinez, Jose Alfredo
AU - Alonso-Gómez, Ángel M.
AU - Wärnberg, Julia
AU - Vioque, Jesús
AU - Romaguera, Dora
AU - López-Miranda, José
AU - Estruch, Ramón
AU - Tinahones, Francisco J.
AU - Lapetra, José
AU - Serra-Majem, Lluis
AU - Bueno-Cavanillas, Aurora
AU - Tur, Josep A.
AU - Sánchez, Vicente Martín
AU - Pintó, Xavier
AU - Delgado-Rodríguez, Miguel
AU - Matía-Martín, Pilar
AU - Vidal, Josep
AU - Vázquez, Clotilde
AU - Ros, Emilio
AU - Basterra, Javier
AU - Babio, Nancy
AU - Guillem-Saiz, Patricia
AU - Zomeño, María Dolores
AU - Abete, Itziar
AU - Vaquero-Luna, Jessica
AU - Barón-López, Francisco Javier
AU - Gonzalez-Palacios, Sandra
AU - Konieczna, Jadwiga
AU - Garcia-Rios, Antonio
AU - Bernal-López, María Rosa
AU - Santos-Lozano, José Manuel
AU - Bes-Rastrollo, Maira
AU - Khoury, Nadine
AU - Saiz, Carmen
AU - Pérez-Vega, Karla Alejandra
AU - Zulet, María Angeles
AU - Tojal-Sierra, Lucas
AU - Ruiz, Zenaida Vázquez
AU - Martinez, Maria Angeles
AU - Malcampo, Mireia
AU - Ordovás, José M.
AU - San-Cristobal, Rodrigo
N1 - Funding Information:
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).
Funding Information:
J.S-S reports grants from CIBEROBN, ISCIII (Spain), during the conduct of the study; non-financial support from Nut and Dried Fruit Foundation, personal fees from Instituto Danone Spain, other from Danone S.A., other from Font Vella Lanjaron, personal fees and grants from Eroski Distributors, grants from Nut and Dried Fruit Foundation, grants from Eroski Distributors, personal fees from Nut and Dried Fruit Foundation, outside the submitted work. E.R reports grants, personal fees, non-financial support and other from California Walnut Commission, grants, personal fees, non-financial support and other from Alexion, personal fees, non-financial support and other from Ferrer International, personal fees from Amarin, personal fees, non-financial support and other from Danone, outside the submitted work. J. L-M reports personal fees and non-financial support from AMGEN, personal fees and non-financial support from SANOFI, personal fees from MSD, personal fees from Laboratorios Dr. Esteve, personal fees from NOVO-NORDISK outside the submitted work.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - Food processing-based classification
KW - Highly processed food
KW - NOVA
KW - PREDIMED-Plus
KW - Questionnaire
KW - Ultra-processed food
UR - http://www.scopus.com/inward/record.url?scp=85123621140&partnerID=8YFLogxK
U2 - 10.1186/s12966-021-01240-6
DO - 10.1186/s12966-021-01240-6
M3 - Article
C2 - 35073909
AN - SCOPUS:85123621140
SN - 1479-5868
VL - 19
JO - International Journal of Behavioral Nutrition and Physical Activity
JF - International Journal of Behavioral Nutrition and Physical Activity
IS - 1
M1 - 6
ER -