The impact of ultra-processed foods on obesity and cardiometabolic comorbidities in children and adolescents: a systematic review
Bibliographic record
Abstract
CONTEXT: Over the past few decades, traditional foods have been displaced by ultra-processed foods (UPFs), with the latter being associated with health problems. OBJECTIVE: This scoping systematic review aimed to identify the relationship between UPF intake and overweight/obesity as well as other cardiometabolic risk factors during childhood and adolescence. DATA SOURCES: The guidance for this protocol is the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P). A systematic search was undertaken on PubMed, Scopus, and Cochrane Library electronic databases based on prespecified inclusion and exclusion criteria up to 6 February 2022. DATA EXTRACTION: A total of 17 observational studies-9 cross-sectional, 7 cohort-longitudinal, and 1 study reporting both cross-sectional and longitudinal outcomes-among children and adolescents aged ≤18 years were eligible for inclusion in this review. Fourteen studies evaluated the consumption of UPFs in association with overweight/obesity and 9 studies examined the association of UPF consumption and cardiometabolic-related risk factors. DATA ANALYSIS: Most studies (14/17) showed that an increase in UPFs was associated with a higher prevalence of overweight/obesity and cardiometabolic comorbidities among children and adolescents, whereas 4 of 17 studies (3 cross-sectional and 1 cohort) found no association. Most cohort and cross-sectional studies showed good quality according to the National Institutes of Health and Newcastle-Ottawa quality assessment, respectively. CONCLUSION: The positive association found between UPFs and overweight/obesity and cardiometabolic comorbidities among children and adolescents raises concerns for future health. Further investigation is recommended to explore the role of specific types of UPFs on cardiometabolic conditions and to identify the amount of daily intake that increase risk in order to shape appropriate public health policies. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42022316432.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".