Baby-led weaning (BLW) / BLISS vs Traditional complementary feeding (TCF): Choking
- Population
- Healthy children aged 6–24 months in Western industrialized countries
- Intervention
- Baby-led weaning (BLW) / BLISS
- Comparison
- Traditional complementary feeding (TCF)
- Outcome
- Choking
No statistically significant difference in choking events between BLW/BLISS and TCF was reported.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
BLW/BLISS vs Traditional complementary feeding (TCF) Choking events · Healthy children aged 6–24 months in Western industrialized countries · during complementary feeding, Outpatient, BLW/BLISS No statistically significant difference in choking events between BLW/BLISS and TCF was reported. Complementary Feeding Caregivers' Practices and Growth, Risk of Overweight/Obesity, and Other… (2022) All outcomes | no estimate extracted | 6 studies | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Complementary Feeding Caregivers' Practices and Growth, Risk of Overweight/Obesity, and Other Non-Communicable Diseases: A Systematic… 2022 All outcomes | Updated to September 2021 | 24 | Low / Critically Low |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Baby-led weaning (BLW) / BLISS vs Traditional complementary feeding (TCF) · Healthy, term-born, normal-birth-weight infants aged 4-24 months (breastfed and/or… · 1 review
Studies behind the findings
The primary studies the full-text reviews tie to this outcome. Reviews with headline outcomes only do not list them here.
- Baby‐led complementary feeding: Randomized controlled study · 2018 · included by 1 of these review
- Effect of a Baby-Led Approach to Complementary Feeding on Infant Growth and Overweight: A Randomized Clinical Trial. · 2017 · included by 1 of these review
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.