The effectiveness of kangaroo mother care in lowering postpartum depression in mothers of preterm and low birth weight babies: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: Kangaroo mother care (KMC) intervention involves skin-to-skin contact between mother and infant. Some studies have shown a decrease in postpartum depression (PPD) in mothers of preterm and low birth weight (LBW) infants. However, the literature is scattered and of variable quality. Aims: To conduct a systematic review of available literature and provide a comprehensive picture of the effect of KMC on PPD among mothers of preterm and LBW infants. Methods: The study was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Guidelines. After PROSPERO registration, a systematic search was conducted using PubMed, Cochrane Central Library, and Google Scholar from the inception of the databases till 14 June 2021. Of the 2944 studies assessed for titles and abstracts, nine studies with 2042 participants were included in the review. Included articles targeted mothers with LBW (<2500 g) or preterm infants (<37 weeks), used an authentic PPD tool, and had standard care or an incubator as the control group. Studies not published in English and in which mothers had a previous psychiatric illness were excluded. The risk of bias was assessed using the Cochrane Risk of Bias Tool for randomized control trials and the Newcastle–Ottawa Scale for observational studies. All the results were converted to standard mean deviation and pooled together using a random-effects model with a 95% CI. A P-value of less than 0.05 is considered significant. Results: KMC Intervention was significantly associated with a lower depression score than control groups. The reduction in depression in the intervention (KMC) group was moderate: SMD=−0.38 (−0.68 to −0.08; 95% CI; I 2=86%; P=0.013). No significant difference was found between the PPD scores of both groups using the Edinburgh Postpartum Depression Scale score. Conclusions: The authors conclude that the negative effects of LBW and preterm birth experience on maternal mental health can be avoided to a moderate degree by KMC. Due to a lack of methodological uniformity, different scales for outcome measurement, and discrepancies in intervention features, significantly high heterogeneity was detected. The authors need further larger-scale studies with a uniform study design to better predict the efficacy of KMC better.
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 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 | 0.011 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.023 | 0.038 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".