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Record W3186279365 · doi:10.12688/aasopenres.13237.1

An ecological study on the association between early childhood caries and intimate partner violence in 20 low- and middle-income countries: 2007-2017

2021· preprint· en· W3186279365 on OpenAlexaff
Morẹ́nikẹ́ Oluwátóyìn Foláyan, Mary O. Obiyan, Maha El Tantawi, Arthur Kemoli, Ola B. Al‐Batayneh, Balgis Gaffar, Robert J. Schroth

Bibliographic record

VenueAAS Open Research · 2021
Typepreprint
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Manitoba
FundersAfrican Academy of SciencesAfrican Population and Health Research CenterNew Partnership for Africa's DevelopmentDeutscher Akademischer AustauschdienstGovernment of the United KingdomWellcome TrustStyrelsen för Internationellt UtvecklingssamarbeteAlliance for Accelerating Excellence in Science in AfricaCarnegie Corporation of New York
KeywordsDomestic violenceSexual violenceDemographyMedicinePoison controlPsychologyInjury preventionEnvironmental health

Abstract

fetched live from OpenAlex

Background: Women are the worst affected by intimate partner violence (IPV), and this impacts negatively on the health of the children they care for. This study aimed to determine the relationship between IPV and the prevalence of early childhood caries (ECC) in 3-5-year-olds. Methods: This was an ecological study using IPV (physical, sexual, emotional) data extracted from the Demographic Health Survey of 20 low- and middle-income countries and ECC data for 3-5-year-olds of the same countries for the period 2007-2017. Linear regression analysis was used to assess the relationship between the percentage of 3-5-year-olds with ECC (outcome variable) and IPV indicators (physical, sexual, emotional). The model was adjusted for the country’s gross national income and the percentage of women with secondary or higher education. Partial eta squared (ηp 2 ), regression coefficients, confidence intervals and p-values were calculated. Results: Data on ECC in 3-5-year-olds and IPV were available for six low-income-countries, 10 lower-middle-income-countries and four upper-middle-income-countries. The most prevalent form of IPV was physical violence (10.09%). The Democratic Republic of Congo had the highest prevalence of physical violence (45.8%), sexual violence (25.4%), and ECC (80.0%). The strongest association was between the prevalence of ECC and emotional violence (ηp 2 =0.01), followed by physical violence (ηp 2 =0.005), and sexual violence (ηp 2 =0.003). For every 1% higher prevalence of emotional violence, there was 0.28% higher prevalence of ECC, and for every 1% higher percentage of physical violence, there was 0.21% higher prevalence of ECC. On the contrary, for every 1% higher prevalence of sexual violence, there was 0.35% lower prevalence of ECC prevalence. Conclusions: The association between IPV and the prevalence of ECC in 3-5-year-olds is minor, with the strongest direct association effect being with emotional violence; and there was an inverse association between sexual violence and the prevalence of ECC. These findings need to be studied further.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.094
GPT teacher head0.426
Teacher spread0.332 · 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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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