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Record W4415972528 · doi:10.1016/j.midw.2025.104662

Adaptation and psychometric evaluation of the postpartum partner support scale among Arab women in the United Arab Emirates

2025· article· en· W4415972528 on OpenAlexaffabout
Hadia Radwan, Gabriel John Dusing, Godfred O. Boateng, Randa Fakhry, Nivine Hanach, Wegdan Bani Issa, MoezAlIslam E. Faris, Reyad S. Obaid, Tareq M. Osaili, Cindy‐Lee Dennis

Bibliographic record

VenueMidwifery · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteCentre for Global Health ResearchYork University
FundersUniversity of SharjahSheikh Hamdan Bin Rashid Al Maktoum Award for Medical Sciences
KeywordsPsychosocialScale (ratio)Mental healthPsychological interventionArabicMaternity careAdaptation (eye)Postpartum period

Abstract

fetched live from OpenAlex

PROBLEM: Poor maternal mental health during the postpartum period is a significant global concern, with a lack of partner support being a well-established risk factor for postpartum depression and anxiety. However, few validated instruments exist to assess postpartum partner support in Arabic-speaking populations. BACKGROUND: The Postpartum Partner Support Scale (PPSS) was developed to measure partner support specific to the postpartum period. While validated in Canadian and Persian-speaking populations, its applicability in Arabic-speaking contexts remains unexplored. AIM: To evaluate the reliability, validity, and factor structure of the Arabic version of the PPSS among postpartum women in the United Arab Emirates (UAE). METHODS: A six-month prospective cohort study (February 2017-September 2018) recruited 457 postpartum women from ten hospitals across Dubai, Sharjah, Al Ain, and Fujairah, UAE, with 399 women followed-up at 3 and 6 months postpartum. The Arabic PPSS was translated following World Health Organization guidelines. The psychometric evaluation included exploratory and confirmatory factor analysis (EFA/CFA), internal consistency (Cronbach's alpha), test-retest reliability, and validity assessments (predictive, divergent, and known-group comparisons). Convergent validity was assessed using the Edinburgh Postnatal Depression Scale (EPDS) and State-Trait Anxiety Inventory (STAI). FINDINGS: The Arabic PPSS demonstrated high internal consistency (Cronbach's alpha = 0.96) and test-retest reliability. EFA and CFA confirmed a unidimensional factor structure, with strong item loadings (0.40-0.94) and acceptable model fit indices (CFI = 0.98-0.99, TLI = 0.98, RMSEA = 0.09, SRMR = 0.03). The PPSS was significantly correlated with EPDS (r = -0.11 to -0.14) and STAI (r = -0.21 to -0.28), indicating that higher levels of partner support were associated with fewer symptoms of depression and anxiety, supporting predictive validity. Known-group comparisons showed higher PPSS scores among working women and those who exercised. DISCUSSION: Findings support the PPSS as a reliable and valid measure of postpartum partner support in Arabic-speaking populations. The scale captures culturally relevant aspects of partner support, addressing a gap in maternal mental health research in the UAE. CONCLUSION: The Arabic PPSS demonstrates strong psychometric properties, supporting its use in both research and clinical settings. Its integration into routine postpartum care, particularly within midwifery and broader maternity care practice, may facilitate early identification of psychosocial risks and inform targeted interventions to improve maternal mental health outcomes in Arabic-speaking populations.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.049
GPT teacher head0.331
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 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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