Predictors of smoking cessation during pregnancy: a systematic review and meta‐analysis
Bibliographic record
Abstract
AIM: To identify factors found in the research literature to be associated with smoking cessation in pregnancy. METHODS: Electronic searches of the bibliographic databases of PubMed, EMBASE, PsycINFO, Elsevier, Scopus and ISI Web of Science were conducted to April 2017. All studies reporting factors associated with smoking cessation or continuing smoking during pregnancy were included and reviewed systematically, irrespective of study design. The Newcastle-Ottawa Quality Assessment Scale was used to assess the study quality. The DerSimonian & Laird random-effects model was used to conduct meta-analyses, and where effect estimates were reported for factors included in at least three studies. RESULTS: Fifty-four studies, including 505 584 women globally who smoked before pregnancy, 15 clinical trials and 40 observational studies, were included in the review and 36 (65.5%) were considered to be of high quality. This review identified 11 socio-demographic, seven socially related, 19 smoking behaviour-related, five pregnancy-related, six health-related and six psychological factors that were associated significantly with smoking cessation during pregnancy. The most frequently observed significant factors associated with cessation were: higher level of education, pooled odds ratio (OR), 95% confidence interval (CI) = 2.16 (1.80-2.84), higher socio-economic status: 1.97 (1.20-3.24), overseas maternal birth: 2.00 (1.40-2.84), Medicaid coverage or private insurance: 1.54 (1.29-1.85), living with partner or married: 1.49 (1.38-1.61), partner/other members of the household do not smoke: 0.42 (0.35-0.50), lower heaviness of smoking index score: 0.45 (0.27-0.77, lower baseline cotinine level: 0.78 (0.64-0.94), low exposure to second-hand smoking: 0.45 (0.20-1.02), not consuming alcohol before and/or during pregnancy: 2.03 (1.47-2.80), primiparity: 1.85 (1.68-2.05), planned breastfeeding:1.99 (1.94-2.05), perceived adequate pre-natal care: 1.74 (1.38-2.19), no depression: 2.65 (1.62-4.30) and low stress during pregnancy: 0.58 (0.44-0.77). CONCLUSION: A wide range of socio-demographics, relationship, social, smoking-related, pregnancy-related, health and psychological factors have been found to predict smoking cessation in pregnancy.
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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 | 0.013 | 0.031 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.039 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 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".