Evidence map›Paper›PMID 33559754›Full record

ArticleArchives of women's mental health2021

Prenatal attachment: using measurement invariance to test the validity of comparisons across eight culturally diverse countries.

Sarah Foley, Claire Hughes, Aja Louise Murray, Adriana Baban, Asvini D Fernando, Bernadette Madrid, Joseph Osafo, Siham Sikander, Fahad Abbasi, Susan Walker and 7 more

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Article in Archives of women's mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Sarah FoleyCentre for Family Research, University of Cambridge, Cambridge, UK. sf412@cam.ac.uk.
Claire HughesCentre for Family Research, University of Cambridge, Cambridge, UK.
Aja Louise MurrayDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
Adriana BabanDepartment of Psychology, Babes-Bolyai University, Cluj-Napoca, Romania.
Asvini D FernandoDepartment of Paediatrics, Faculty of Medicine, University of Kelaniya, Colombo, Sri Lanka.
Bernadette MadridChild Protection Unit, University of the Philippines, Manila, Philippines.
Joseph OsafoDepartment of Psychology, University of Ghana, Legon, Accra, Ghana.
Siham SikanderHealth Services Academy, Islamabad, Pakistan.
Fahad AbbasiHealth Services Academy, Islamabad, Pakistan.
Susan WalkerCaribbean Institute for Health Research, The University of the West Indies, Kingston, Jamaica.
Bao-Yen Luong-ThanhInstitute for Community Health Research, Faculty of Public Health, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
Thang Van VoInstitute for Community Health Research, Faculty of Public Health, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
Mark TomlinsonDepartment of Psychology, Stellenbosch University, Stellenbosch, South African Institute for Life Course Health Research, Department of Global Health, Stellenbosch University, Cape Town, South Africa.
Pasco FearonResearch Department of Clinical, Educational and Health Psychology, University College London, London, UK.
Catherine L WardDepartment of Psychology, University of Cape Town, Cape Town, South Africa.
Sara ValdebenitoInstitute of Criminology, University of Cambridge, Cambridge, UK.
Manuel EisnerInstitute of Criminology, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies in high-income countries (HICs) have shown that variability in maternal-fetal attachment (MFA) predict important maternal health and child outcomes. However, the validity of MFA ratings in low- and middle-income countries (LMICs) remains unknown. Addressing this gap, we assessed measurement invariance to test the conceptual equivalence of the Prenatal Attachment Inventory (PAI: Muller, 1993) across eight LMICs. Our aim was to determine whether the PAI yields similar information from pregnant women across different cultural contexts. We administered the 18-item PAI to 1181 mothers in the third trimester (Mean age = 28.27 years old, SD = 5.81 years, range = 18-48 years) expecting their first infant (n = 359) or a later-born infant (n = 820) as part of a prospective birth cohort study involving eight middle-income countries: Ghana, Jamaica, Pakistan, Philippines, Romania, South Africa, Sri Lanka and Vietnam. We used Multiple Group Confirmatory Factor Analyses to assess across-site measurement invariance. A single latent factor with partial measurement invariance was found across all sites except Pakistan. Group comparisons showed that mean levels of MFA were lowest for expectant mothers in Vietnam and highest for expectant mothers in Sri Lanka. MFA was higher in first-time mothers than in mothers expecting a later-born child. The PAI yields similar information about MFA across culturally distinct middle-income countries. These findings strengthen confidence in the use of the tool across different settings; future studies should explore the use of the PAI as a screen for maternal behaviour that place children at risk.

Indexed as

Maternal BehaviorPregnant PeopleAdolescentAdultChildCohort StudiesFemaleHumansInfantMiddle AgedPregnancyPregnancy Trimester, ThirdProspective StudiesYoung AdultCross-culturalLower-middle incomeMaternal-fetal attachmentMeasurement invarianceParityPregnancy

Identifiers

PMID33559754
PMCPMC8266779

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.