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Record W4295510658 · doi:10.1016/j.midw.2022.103470

Muslim women's attitudes toward infant feeding in Qatar: An exploration using the Iowa infant feeding attitude scale

2022· article· en· W4295510658 on OpenAlexaff
Nabila Chaabna, Ziyad Mahfoud, Nicole Letourneau, Daniel Forgrave, Deborah White

Bibliographic record

VenueMidwifery · 2022
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of Calgary
FundersQatar National Library
KeywordsBreastfeedingInfant feedingScale (ratio)MedicineBreast feedingPositive attitudeArabicDemographyPsychologyObstetricsSocial psychologyPediatricsGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Maternal attitude toward infant feeding is an important determinant of breastfeeding. The Islamic faith encourages breastfeeding, yet many Muslim women do not breastfeed as per the World Health Organization recommendations. In the Middle East, research has not addressed attitudes toward infant feeding among Muslim women. Assessing women's attitudes toward infant feeding choices is crucial to improve breastfeeding rates among Muslim women. AIM: The aims of this study are to (a) examine postpartum Muslim women's attitudes toward infant feeding, (b) identify the determinants of these attitudes, and (c) determine whether attitudes can predict breastfeeding intention among Muslim women. A secondary aim is to examine the psychometric attributes of the Iowa Infant Feeding Attitude Scale among Muslim women. METHOD: A convenience sample of postpartum Muslim women (N = 414) were recruited between November 2019 and January 2020 in a large maternity facility in Qatar. A pre-developed questionnaire and the IIFAS were used to collect data. Both Arabic (n = 228) and English (n = 186) versions of the IIFAS were distributed postnatally to measure Muslim women's attitudes towards breastfeeding. A total attitude score was computed with higher scores indicating a more positive attitude toward breastfeeding. FINDINGS: The mean age of participants was 30.3 ± 5.2 years; 65.2% had a university degree and only 20.5% were employed. The mean attitude score was 61.8 ± 7.8. A significant association was found between the IIFAS attitude score and ethnicity, favouring Non-Qatari Arab women who had significantly higher attitude scores (p < .001). Women with full-time or part-time work had significantly higher scores than those not working (p = .008, p = .023). Older women had significantly lower attitude scores (adjusted slope = -0.230, p = .008). Cronbach's alpha reliability coefficient of the Arabic and English versions of the IIFAS ranged from 0.69 to 0.80. CONCLUSION: Ethnicity, employment status, and age are determinants of infant feeding attitudes among Muslim women. In Qatar, Muslim women's attitudes related to breastfeeding trend toward positive; however, attitude is not a predictor of antenatal breastfeeding intention. Further research employing a larger sample with a focus on a culturally sensitive approach is recommended. The IIFAS has a moderate reliability level and needs to be culturally adapted to be used among a Muslim population.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.084
GPT teacher head0.338
Teacher spread0.254 · 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 designQualitative
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

Citations8
Published2022
Admission routes1
Has abstractyes

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