<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>42(3)</volume><submitter>Miranda-Cuadros M</submitter><pubmed_abstract>&lt;h4>Objective.&lt;/h4>To evaluate the energy contribution of ultra-processed foods (UPFs) and its association with social and demographic covariates in children between 6 and 35 months of age, based on national surveys conducted in 2008‒2010, 2015‒2016, and 2019.&lt;h4>Materials and methods.&lt;/h4>The surveys used multistage stratified random samples. 24-hour recalls were applied on random days per participant, using the modified multiple-pass method, with the support of visual aids and scales. UPFs belonged to the Nova 4 group. Given the bimodal distribution, the covariates were analyzed using two models: a binomial model for the percentage of UPF consumers and a normal model for the average energy contribution, only among UPF consumers. The estimates and models were adjusted according to the sam</pubmed_abstract><journal>Revista peruana de medicina experimental y salud publica</journal><pagination>240-251</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12679980</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Energy contribution from ultra processed foods in peruvian children.</pubmed_title><pmcid>PMC12679980</pmcid><pubmed_authors>Marron-Ponce JA</pubmed_authors><pubmed_authors>Campos-Sanchez M</pubmed_authors><pubmed_authors>Cediel Giraldo G</pubmed_authors><pubmed_authors>Miranda-Cuadros M</pubmed_authors><pubmed_authors>da Costa Louzada ML</pubmed_authors></additional><is_claimable>false</is_claimable><name>Energy contribution from ultra processed foods in peruvian children.</name><description>&lt;h4>Objective.&lt;/h4>To evaluate the energy contribution of ultra-processed foods (UPFs) and its association with social and demographic covariates in children between 6 and 35 months of age, based on national surveys conducted in 2008‒2010, 2015‒2016, and 2019.&lt;h4>Materials and methods.&lt;/h4>The surveys used multistage stratified random samples. 24-hour recalls were applied on random days per participant, using the modified multiple-pass method, with the support of visual aids and scales. UPFs belonged to the Nova 4 group. Given the bimodal distribution, the covariates were analyzed using two models: a binomial model for the percentage of UPF consumers and a normal model for the average energy contribution, only among UPF consumers. The estimates and models were adjusted according to the sam</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T20:14:57.963Z</modification><creation>2026-06-04T03:14:09.261Z</creation></dates><accession>S-EPMC12679980</accession><cross_references><pubmed>41557541</pubmed><doi>10.17843/rpmesp.2025.423.14339</doi></cross_references></HashMap>