Overweight or obesity in children aged 0 to 6 and the risk of adult metabolic syndrome: A systematic review and meta‐analysis
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To identify an association between overweight or obesity in early childhood and metabolic syndrome in adults. BACKGROUND: Early childhood overweight or obesity is important because it can predict metabolic syndrome in adulthood. A longer period of overweight or obesity leads to the accumulation of more risk factors. However, there are insufficient and inconsistent studies on this issue. DESIGN: A systematic review and meta-analysis. METHODS: We followed the Meta-Analysis of Observational Studies in Epidemiology guideline, MEDLINE, EMBASE, Cochrane library and CINAHL electronic databases as well as reference lists of included studies were searched, without published date restriction. We used the Newcastle-Ottawa Scale to assess the quality of the observational studies in the systematic review, and the meta-analysis was performed using random-effects models. RESULTS: All of the included studies were published from 2008-2014, and the participants of this study were only Asians or Europeans. A total of 12 results from five studies were included in the meta-analysis. Overweight or obesity in early childhood was associated with a higher risk of adult metabolic syndrome compared with the controls. When confirmed in each age group (at birth, 0-2 and 2-6 years), there was a statistically significant difference before and after the age of 2 years. As a result of the meta-regression, when the age of the children increased, the effect size of adult metabolic syndrome for overweight or obesity also increased. CONCLUSIONS: The results confirm that the aetiology of metabolic syndrome includes long-term impacts from the early stage of life and indicate that early intervention for overweight or obesity is needed. RELEVANCE TO CLINICAL PRACTICE: these findings could help community and clinical health nurses recognize the risk of overweight or obesity in early life, and provide evidence to develop and implement the preventive intervention for early childhood.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.040 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".