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Record W4296430591 · doi:10.1093/pch/21.supp5.e91a

Generalized Health Impact of Social and Material Deprivation on Perinatal Outcomes In Nova Scotia, Canada

2016· article· en· W4296430591 on OpenAlexaffabout
J Orkin, P O'Campo, K Shankardass, L Dodds, K.S. Joseph, Vanessa Allen

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsMultinomial logistic regressionLogistic regressionSocioeconomic statusPovertySocial determinants of healthRecord linkagePublic healthSocial supportPsychological intervention

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Poverty is associated with multiple adverse perinatal outcomes including low birth weight, small for gestational age, pregnancy induced hypertension, gestational diabetes as well as an increased risk for neonatal death. Recent research has attempted to align social theory (i.e., that adverse social exposures impact multiple outcomes) with new statistical modeling that reflects this theory. The Generalized Health Impact (GHI) model looks at the impact on a myriad of adverse outcomes of exposure to negative social risk factor such as low income or poverty. Growing research examines how multiple perinatal outcomes are influenced by social and material deprivation. In particular, having a lower social and economic position in society (socioeconomic position) or being raised in low-income setting has been independently linked to multiple negative health outcomes. OBJECTIVES: To understand the generalized health impact (GHI) on perinatal health for mothers and their children that socioeconomic position (SEP) can have on health. DESIGN/METHODS: Data from the Nova Scotia Atlee Perinatal Database was used. A partnership with Statistics Canada facilitated a confidential linkage with income tax information for the year in which delivery occurred. Multiple logistic regression models were used to examine the relationship between multiple indicators of family income and multiple adverse perinatal and maternal outcomes. In the second stage of analysis, multinomial logistic regression was used to examine effects on a tally of the number of adverse outcomes (0, 1, 2 or ≥3). The study was approved by the IWK Health Centre Research Ethics Board. RESULTS: 117 734 individuals were included. Total family income was less than $23 587 in approximately 62% of families. Effect of low socioeco-nomic position on concomitant adverse perinatal health outcomes was seen with the risk of having 3 or more conditions was highest amongst single mothers (PR 3.1 CI: 2.92-3.27) and families reported as having an income below the low income cut off (PR 2.33 CI:2.16-2.51). Higher material deprivation in the neighbourhood of residence was associated with increased risk of multiple negative perinatal outcomes including pre-term birth and small for gestational age. CONCLUSION: This study highlights the importance of understanding the cumulative effect of SEP on generalized health outcomes for negative perinatal health outcomes. This research should inform clinical practice to recognize that social determinants of health and negative health outcomes occur not in isolation but as a collective. Further research on adequate screening for poverty and clinical assessment of social determinants of health is 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 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)0.004
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 score0.035
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.070
GPT teacher head0.414
Teacher spread0.344 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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