MétaCan
Menu
Back to cohort

RF36 Comparing multiple forms of discrimination and postpartum depression among palestinian-arab minority women, immigrant and non-immigrant jewish women in israel

2019· article· en· W2998659244 on OpenAlexaff
Nihaya Daoud, Ruslan Sergienko, Martignoni Geo

Bibliographic record

VenueOral Presentations · 2019
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsCARE Canada
Fundersnot available
KeywordsSocioeconomic statusImmigrationPostpartum depressionJudaismDemographyEthnic groupLogistic regressionMedicinePsychologyPregnancySociologyPopulationGeographyInternal medicine

Abstract

fetched live from OpenAlex

Background Drawing on the intersectionality theory, emerging research shows that discrimination is a multidimensional risk factor for health. Yet, associations between multiple forms of discrimination (MFD) and postpartum depression (PPD) have not been explored. This study compares relationships between MFD and PPD among Palestinian-Arab indigenous minority, Jewish immigrant, and Jewish non-immigrant mothers citizens of Israel. Methods We used data from a stratified sample of 1,128 postpartum mothers who were interviewed during visiting maternal and child health clinics in 2014–15. We conducted multivariable logistic regression analysis and generalized estimation equation for PPD (Edinburgh Postnatal Depression Scale with cutoff ≥10) and compared associations with two measure of MFD among the study groups, while considering age, socioeconomic status, anti-depressant use, and single forms of discrimination in different models. The two MFD measures included: cumulative MFD (additive experiences of 0, 1, 2 or ≥3 forms of discrimination based on ethnicity, skin color, religiosity level, gender, age and socioeconomic status), and composite MFD (12 categories resulting from an interactions terms between cumulative 0, 1, 2 and 3≥ MFD and women’s study groups. The reference category was non-immigrant Jewish mothers who reported no MFD. Results Palestinian-Arab mothers reported highest MFD, followed by Jewish immigrant mothers and non-immigrant Jews (≥3MFD=29.2%, 24.1% and 17.8%, respectively). Composite MFD had stronger dose response associations with PPD among Palestinian-Arab women, followed by immigrant Jews and non-immigrant Jewish women. Compared to non-immigrant Jewish women with no MFD, Palestinian-Arab women reporting ≥3MFD, 2MFD and one MFD were more likely to experience PPD. Adjusted odds ratio and 95% confidence intervals (AOR, 95%CI) were 12.68 (5.29–30.40), 10.08 (3.73–27.20), and 3.98 (1.23–12.86), respectively, among Palestinian-Arab women; 4.44 (1.45–13.61), 5.76 (1.84–17.97), 2.32 (0.59–9.12), respectively, among immigrant Jewish mothers; and 4.68 (1.87–11.71), 3.74 (1.32–10.63) and 2.70 (1.06–6.87) among non-immigrant Jews mothers. Cumulative or additive MFD showed a strong dose response association with PPD among non-immigrant Jews and Palestinian-Arab women who reported ≥3MFD, but not among immigrant Jewish women. Conclusion The study result sheds light on the importance of studying the facets of MFD in intersection with social identities in maternal mental health research. Using a cumulative or additive measure of MFD might underestimate the association between discrimination and PPD specifically in minority and immigrant mothers who face MFD. Health care providers should consider the effects of MFD on PPD among mothers, especially for women located at more than one marginalized axis of identity.

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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.289
Teacher spread0.270 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOral PresentationsSame topicMaternal Mental Health During Pregnancy and PostpartumFrench-language works237,207