Evidence mapPaperPMID 40445326Full record

ArticleEuropean journal of nutrition2025

Associations between the trajectories of free sugar intake and cardiometabolic risk markers during childhood: generation XXI birth cohort.

Sofia Sosa, Milton Severo, Catarina Campos Silva, Carla Lopes

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Article in European journal of nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sofia SosaEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-2997-7523
Milton SeveroEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-5787-4871
Catarina Campos SilvaDepartment of Public Health and Forensic Sciences, and Medical School, Faculty of Medicine, University of Porto, Porto, Portugal.ORCID http://orcid.org/0009-0001-4146-9070
Carla LopesEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal. carlal@med.up.pt.ORCID http://orcid.org/0000-0003-1524-852X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFree sugar (FS) intake is linked to obesity, but most evidence is cross-sectional. Few studies have explored early-life FS intake trajectories with later cardiometabolic risk markers (CRM).

aimTo estimate associations between the trajectories of FS intake and CRM during childhood using a longitudinal and cross-sectional analysis and two dietary assessment methods. METHODOLOGY: Participants are from the G21 cohort evaluated at 4, 7, 10, and 13y. Dietary intake was assessed through food diaries and food frequency questionnaries (FFQ). FS was measured using a 10-step adapted methodology based on the WHO definition. CRM analyzed included BMI, waist circumference (WC), HOMA-IR, HDL, triglycerides, and systolic blood pressure. Linear mixed-effect models were used to estimate cross-sectional and longitudinal associations between FS trajectories, and CRM. Two regression models were considered: model 1 (crude) and model 2 (adjusted for parity, mothers’ education, mothers’ weight pre-pregnancy, breastfeeding, physical activity, weight for gestational age, and energy intake).

resultsConsidering data from food diaries and after adjustment, the longitudinal analysis presented positive significant associations between FS intake(/10 g) and CRM, particularly within adiposity variables: BMI (β = 0.044, 95%CI = 0.000;0.088), WC (β = 0.240 95%CI = 0.093;0.386) and HOMA (β = 0.015, 95%CI = 0.003;0.028). In contrast, cross-sectional analyses showed negative associations for the same variables. When using data from FFQ similar results were observed as in diaries. A sensitivity analysis only in plausible reporters supported the previous results in both epidemiological approaches.

conclusionThis study supports the adverse effects of FS on CRM during childhood, independently of the dietary assessment method. Longitudinal approaches are relevant to obtaining accurate associations.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesDietDietary SugarsAdolescentBiomarkersBirth CohortBody Mass IndexChildChild, PreschoolCross-Sectional StudiesDiet RecordsFemaleHumansLongitudinal StudiesMaleBiomarkersDietary SugarsBirth cohortCardiometabolic risk markersChildhoodFree sugar intakeFree sugar trajectories

Identifiers

PMID40445326
PMCPMC12125042

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.