MétaCan
Menu
Back to cohort
Record W4401728577 · doi:10.1186/s12903-024-04733-5

Childhood obesity in relation to risk of dental caries: a cumulative and dose-response systematic review and meta-analysis

2024· review· en· W4401728577 on OpenAlexaboutno aff
Mohammad Reza Bakhoda, Mohammad Mehdi Haghighat Lari, Gholamreza Khosravi, Zeinab Khademi, Fatemeh Abbasi, Alireza Milajerdi

Bibliographic record

VenueBMC Oral Health · 2024
Typereview
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisObesityOral and maxillofacial surgeryChildhood obesityOverweightDentistryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Earlier studies reported inconsistent findings for the association of childhood obesity with the risk of dental caries. In this systematic review and meta-analysis, we aimed to summarize earlier studies on the association of overweight and obesity with risk of dental caries in children. METHODS: Relevant studies published up to December 2023 were identified through searches in PubMed, MEDLINE, SCOPUS, EMBASE, and Google Scholar, using suitable keywords. All observational studies, including cross-sectional or cohort or case-control studies, about the association of each obesity index with risk of dental caries in children which reported odds ratio (OR), hazard ratio (HR), or relative risk (RR) and 95% CIs, were included. Studies involving adults, randomized clinical trials, studies on animals or pregnant women, and studies on other dental disorders were excluded. Risk of bias was assessed using standard methods for observational studies. A total of 22 studies including 40673 participants were included. Studies were pooled using the random-effect model, and results were synthesized with subgroup analyses and assessments of heterogeneity. Limitations included potential publication bias and heterogeneity among study designs. The quality of the included studies was assessed using the Newcastle-Ottawa scale (NOS). RESULTS: Children at the highest category of BMI were 44% more likely to have early childhood caries (ECC) than those at the bottom (OR: 1.44; 95% CI: 1.16 to 1.78). Moreover, combined analysis also showed no significant association between waist circumference (WC) and risk of dental caries in children. However, significant linear and non-linear associations were found between BMI and risk of childhood dental caries. No publication bias was found for the relationship between BMI and the risk of ECC based on visual inspection of a funnel plot and Egger's test. CONCLUSIONS: This study showed a significant direct association between BMI and the risk of dental caries in children. Non-linear analysis showed higher risk of dental caries in children with higher BMI and also among underweight children. Further prospective studies are required to expand current knowledge in this issue. IMPACT STATEMENT: The findings of this study have significant implications for public health and dental care, suggesting association between BMI and the risk of dental caries in children. This comprehensive meta-analysis is among the first to summarize earlier publications on the association of obesity with risk of dental caries in children, highlighting the need for more accurate methods of obesity assessment and further research to understand this relationship better. These findings can help inform public health policies and interventions to reduce the prevalence of childhood obesity and dental caries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.108
GPT teacher head0.434
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations22
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBMC Oral HealthSame topicDental Health and Care UtilizationFrench-language works237,207