MétaCan
Menu
Back to cohort
Record W2109686126 · doi:10.1111/eos.12006

Dental fear and sense of coherence among 18‐yr‐old adolescents in <scp>F</scp>inland

2012· article· en· W2109686126 on OpenAlexfundno aff
Sirkka Jaakkola, Päivi Rautava, Maiju Saarinen, Satu Lahti, Marja‐Leena Mattila, Sakari Suominen, Hannele Räihä, Minna Aromaa, Päivi‐Leena Honkinen, Matti Sillanpää

Bibliographic record

VenueEuropean Journal Of Oral Sciences · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
FundersAlberta Innovates - Health Solutions
KeywordsSalutogenesisMedicineLogistic regressionDental fearDental educationPsychologyCohort studyClinical psychologyDemographyDentistryAnxietyPsychiatryHealth promotionPublic healthInternal medicine

Abstract

fetched live from OpenAlex

The aim was to investigate whether dental fear was associated with the sense of coherence (SOC) among 18-yr-old adolescents (n = 777). Cross-sectional data from a prospective cohort of a random sample of families from Finland and their first-born children were used. Dental fear was measured using the Modified Dental Anxiety Scale and categorized as high dental fear for scores of 19-25 and as no to moderate dental fear for scores of 5-18. Sense of coherence was measured using a 13-item version of Antonovsky's Sense of Coherence Questionnaire, dichotomized as scores 13-63 for weak SOC and as scores of 64-91 for strong SOC. Gender and education were included as background factors in the logistic regression analyses. The prevalence of high dental fear was 8%. Those reporting high dental fear reported more often a weaker SOC than did those with no to moderate dental fear (69% vs. 31%, OR = 2.5, 95% CI = 1.4-4.4), also when adjusted for gender and education (OR = 2.2, 95% CI = 1.2-3.9). According to the theory of salutogenesis, as proposed by Antonovsky, SOC is a resource instrument especially in situations of tension or strain and hence a strong SOC might protect against high dental fear.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.019
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.085
GPT teacher head0.411
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.

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

Citations18
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal Of Oral SciencesSame topicHealth, psychology, and well-beingFrench-language works237,207