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Record W4249118208 · doi:10.21203/rs.3.rs-60158/v1

Validation of the Family Health Behavior Scale for the Brazilian Population

2020· preprint· en· W4249118208 on OpenAlexaff
Luiza Tweedie Preto, Camila H. Scarpatto, Laura Lessa Gaudie Ley, Carolina Silveira, Margareth Rodrigues Salerno, Jennette P. Moreno, Stela Maris de Jezus Castro, Linda Booij, Rita Mattiello

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsConcordia University
FundersNational Institutes of HealthConselho Nacional de Desenvolvimento Científico e TecnológicoAgricultural Research ServiceCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado do Rio Grande do SulU.S. Department of Agriculture
KeywordsScale (ratio)PsychologyPopulationFamily healthPopulation healthSociologyGeographyMedicineDemographyCartographyNursing

Abstract

fetched live from OpenAlex

Abstract Background: It is well known that the family environment is associated with child health behavior and outcomes. However, there is a lack of available instruments to measure family health behaviors, even more so in languages other than English. The aim of the present study was to adapt and validate the Family Health Behavior Scale (FHBS) for Brazilian families.Methods: The FHBS was translated and culturally adapted for the Brazilian families. Psychometric properties (content validity, construct validity, and concurrent validity) and reliability (internal consistency, ceiling-floor effect, and test-retest) were evaluated in a sample of healthy community-dwelling children who were between 5 to 12 years old, of both sexes. Caregivers responded to the FHBS. Concurrent validity was assessed by comparing the FHBS scale with Body Mass Index (BMI) percentile, percent body fat, and physical activity level.Results: 272 children (54% girls) with a mean age of 7.9 years (SD = 2.0) and their caregivers were tested. Confirmatory analysis of the initial 4-factor structure (as proposed in the original English version of the questionnaire) suggested its performance was below acceptable. Exploratory factor analysis showed however an acceptable fit (Kaiser-Meyer-Olkin index = 0.79), and the factor loadings suggested a 7-factor model. Children who were considered obese (BMI percentile ≥ 97) had lower mean total FHBS scores than children who had a healthy weight or were overweight. Children who were classified as having a healthy fat percentage had higher FHBS scores than children classified as having an excessively high fat percentage. Children who were physically active had significantly higher total FHBS scores than children who were physically inactive. Cronbach's alpha was 0.81 and we noted acceptable values of the ceiling-floor effect. Test-retest analyses showed lower agreement and intraclass correlation coefficients ​​than expected 0.63 (95% CI 0.41 to 0.78).Conclusion: The adapted Family Health Behavior Scale for the Brazilian population showed adequate psychometric properties.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.197
GPT teacher head0.479
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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