Translation and Psychometric Evaluation of the Arabic Version of the Breastfeeding Self-Efficacy Scale-Short Form Among Women in the United Arab Emirates
Bibliographic record
Abstract
BACKGROUND: Breastfeeding self-efficacy as a construct has been theoretically and empirically linked to exclusive breastfeeding in studies globally using the Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF). However, its application in the Middle East and North Africa region is limited, as it has not been validated. RESEARCH AIMS: To psychometrically validate the BSES-SF among a sample of mothers in the United Arab Emirates. METHODS: = 457) residing in the United Arab Emirates. We used translation techniques, item-test and item-total correlations, confirmatory factor analysis, tests of reliability, and tests of validity. RESULTS: Item-test correlations of scale items ranged from 0.67 to 0.84, while item-total correlations ranged from 0.58 to 0.81. The confirmatory factor model assessed the 14-item scale to be unidimensional with satisfactory model fit indices. Our findings suggested the Arabic-language version of the BSES-SF was a reliable measure (α = 0.95) with strong construct and discriminant validity. BSES-SF scores significantly predicted exclusive breastfeeding (aOR = 1.04; 95% CI [1.02, 1.08]) and exclusive duration (β = .06; 95% CI [0.4, 0.08]), which suggested strong predictive, validity after adjusting for parity, maternal age, maternal education, and study site. CONCLUSIONS: We have provided rigorous evidence that the BSES-SF is a valid and reliable measure of breastfeeding self-efficacy among Arabic-speaking women in the UAE. Interventions designed specifically to increase breastfeeding self-efficacy among Arabic-speaking women may be a mechanism to increase the suboptimal rates of breastfeeding exclusivity occurring in much of the MENA region.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".