Infant Feeding Beliefs, Attitudes, Knowledge and Practices of Chinese Immigrant Mothers: An Integrative Review of the Literature
Bibliographic record
Abstract
Chinese are a fast-growing immigrant population group in several parts of the world (e.g., Australia, Canada, Europe, Southeast Asia, United States). Research evidence suggests that compared to non-Hispanic whites, individuals of Asian-origin including Chinese are at higher risk of developing cardiovascular disease and type 2 diabetes at a lower body mass index (BMI). These risks may be possibly due to genetic differences in body composition and metabolic responses. Despite the increasing numbers of Chinese children growing up in immigrant families and the increasing prevalence of obesity among Chinese, little research has been focused on children of Chinese immigrant families. This integrative review synthesizes the evidence on infant feeding beliefs, attitudes, knowledge and practices of Chinese immigrant mothers; highlights limitations of available research; and offers suggestions for future research. Using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, we searched four electronic academic/research databases (CINAHL, Medline, PsycINFO, and PubMed) to identify peer-reviewed, full-text papers published in English between January 2000 and September 2017. Only studies with mothers 18+ years old of normally developing infants were included. Of the 797 citations identified, 15 full-text papers were retrieved and 11 studies (8 cross-sectional studies, 3 qualitative studies) met the inclusion criteria and were included in this review. Reviewed studies revealed high initiation rates of breastfeeding, but sharp declines in breastfeeding rates by six months of age. In addition, reviewed studies revealed that the concomitantly use of breast milk and formula, and the early introduction of solid foods were common. Finally, reviewed studies identified several familial and socio-cultural influences on infant feeding beliefs and practices that may increase risk of overweight and obesity during infancy and early childhood among Chinese children of immigrant families. Nonetheless, as only 11 studies were identified and because the majority of studies (n = 8) were conducted in Australia, additional research including longitudinal studies, and studies conducted in countries with large Chinese immigrant population are needed to further identify and understand influences on Chinese immigrant mothers’ beliefs, attitudes, and practices related to infant feeding that may increase risk of child overweight and obesity. This information is needed to develop interventions tailored to the beliefs and needs of this fast-growing immigrant group and aimed at promoting healthy infant feeding practices to prevent childhood overweight and obesity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".