Background: Valid instruments that can reliably assess maternal breastfeeding knowledge in Arabic-speaking populations are nonexistent. The availability of such an instrument is essential for investigators working in this field.
Objective: This study aimed to describe the adaptation and validation of the Arabic Breastfeeding Knowledge Questionnaire (BFK-A) from the original 20-item English version.
Methods: A translated version of the 20-item BFK was validated among 417 Lebanese women after pilot testing for clarity, comprehension, length, and cultural appropriateness. Exploratory factor analysis was run to examine dimensionality of the instrument and Kuder-Richardson-20 (KR-20) was used to assess its internal consistency.
Results: The BFK-A is a unidimensional scale with acceptable internal consistency reliability (KR-20 = 0.652) after the exclusion of 4 items. Higher breastfeeding knowledge levels were strongly and statistically significantly associated with higher mean scores for the validated Arabic Iowa Infant Feeding Attitude Scale ( P < .001), thus confirming its construct validity.
Conclusion: The Arabic 16-item BFK-A has an acceptable reliability, similar to the original instrument. Further studies are encouraged to confirm the validity of the 16-item BFK-A among other Arab populations. There is also a need to develop more reliable instruments to use in lactation research in this context.
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http://dx.doi.org/10.1177/0890334416663474 | DOI Listing |
J Hum Lact
December 2024
Department of Social Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin OH, USA.
Secondary data analysis has emerged as an important approach for researchers seeking to explore new research questions using existing datasets. These datasets often comprise large and diverse, as well as longitudinal data, enabling comprehensive analyses that might be impractical through primary data collection alone. This paper discusses the importance of secondary data analysis in breastfeeding research, provides examples of publicly available and restricted datasets containing breastfeeding variables, outlines the methodological steps in conducting secondary data analysis, and discusses common limitations associated with this approach.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
December 2024
Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, No. 1416, Chenglonglu Avenue, Chengdu, Sichuan, Jinjiang District, 610066, China.
Background: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers to miss critical intervention opportunities.
Methods: This study conducted a three-wave prospective cohort analysis to examine maternal breastfeeding trajectories within the first six months postpartum and to develop risk prediction models for each period using advanced machine learning algorithms.
Asian Nurs Res (Korean Soc Nurs Sci)
December 2024
Kumudini Nursing College, Kumudini Complex, Mirzapur, Tangail, Bangladesh. Electronic address:
Purpose: This study aims to explore the relationships between gestational diabetes mellitus (GDM) related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. It investigates the factors influencing breastfeeding intention among pregnant women in Nepal.
Methods: A total of 229 healthy pregnant women visiting an antenatal clinic in Nepal participated in this study between January and March, 2023.
PLoS One
December 2024
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: Coeliac Disease (CD) often has its onset in childhood and affects 1% of the population. This review aimed to identify important predictive factors for coeliac disease in children and young people which could help GPs decide when to offer testing.
Methods: We searched MEDLINE, Embase and Cochrane Library to April 2024.
Epidemiol Serv Saude
December 2024
Universidade Estadual Paulista, Faculdade de Medicina de Botucatu, Programa de Pós-Graduação em Saúde Coletiva, Botucatu, SP, Brazil.
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