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Record W3162337032 · doi:10.1111/ipd.12842

Dietary practices among children with early childhood caries and the associated factors: A qualitative study

2021· article· en· W3162337032 on OpenAlexaff
Baranya Shrikrishna Suprabha, Ramya Shenoy, YM Karuna, Anupama Nayak, Arathi Rao, Violet D’Souza

Bibliographic record

VenueInternational Journal of Paediatric Dentistry · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSnackingMedicineFocus groupQualitative researchEarly childhood cariesAffect (linguistics)InterviewFamily medicineEnvironmental healthPsychologyOral health

Abstract

fetched live from OpenAlex

BACKGROUND: Parents play a vital role in their children's dietary habits. A comprehensive understanding of the perspectives of parents of children with early childhood caries (ECC) is required for prevention program planning. AIM: To describe the parental perspective of the dietary habits of children with ECC. DESIGN: In this descriptive qualitative study, the participants were parents of children with ECC receiving routine dental care. Data were collected through focus groups using an interview guide. Data were analyzed manually using the content analysis method. RESULTS: Five focus groups involving 27 participants were conducted. Two main categories emerged: cariogenic food literacy and factors that affect food choices. Most of the participants knew that sugary foods are responsible for tooth decay. Parents felt that children's snacking habits were influenced by multiple factors, such as family environment, peers, commercials on television or the Internet, and affordability of food. CONCLUSIONS: Parents are not able to translate their knowledge into action to modify their children's diet as they may lack self-efficacy and feel pressured by their children, the media and the environment in which they live. Motivational interviewing of parents and governmental and school policies to reduce sugary food consumption may be required.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.344
Teacher spread0.324 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2021
Admission routes1
Has abstractyes

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