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Record W4403888969 · doi:10.3390/children11111324

Dental Caries in Children and Its Relationship with Parenting Styles: A Systematic Review

2024· review· en· W4403888969 on OpenAlexaboutno aff
María Moya-López, Ana Ruiz‐Guillén, Martín Romero‐Maroto, María Carrillo‐Diaz

Bibliographic record

VenueChildren · 2024
Typereview
Languageen
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDevelopmental psychologyPsychologyParenting stylesDentistryClinical psychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: It can be affirmed that the parenting style of parents has an impact on the health-related behaviors of their children; the environment that parents create for their children can have an impact on both their habits and their oral health, and on the incidence of dental caries in children. The purpose of this study was to analyze the association between parenting style and childhood dental caries. METHODS: Two researchers independently searched the English literature published up to May 2024 in four databases (PubMed, Web of Science, Scopus y Cochrane Library). The risk of bias was evaluated using the Modified Newcastle-Ottawa Quality Assessment Scale (NOS). This study is registered on PROSPERO (CRD42024573447). RESULTS: Of the 130 studies identified, nine of them, with a total of 4250 participants, met our inclusion criteria. The evidence on the relationship between parenting styles and dental caries is varied. Of the studies reviewed, three showed a significant association between both factors, while four found no correlation, and two reported no significant differences in relation to parenting styles and the occurrence of dental caries. CONCLUSIONS: This discrepancy emphasizes the need for further research. Parenting styles impact child dental behavior on a global level, highlighting the relevance of recognizing these approaches in a dental context, given that parents have a fundamental role in guiding their children's behaviors.

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)0.000
metaresearch head score (Gemma)0.000
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: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.299
Teacher spread0.276 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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