R u a smkn m0m?: Aspects of a Text Messaging Smoking Cessation/Reduction Intervention for Younger Mothers
Bibliographic record
Abstract
Introduction: Women who are younger in age are more likely to smoke during pregnancy and postpartum and tend to have less success with cessation/reduction. There is an unmet need for interventions targeted to pregnant and postpartum young women that provide them with support to quit/reduce long-term into the postpartum period and beyond. Aims: Our study aimed to gain an in-depth understanding of the perspectives of young pregnant and postpartum women of text messaging (TM) as a conduit for smoking cessation/reduction, and to determine the appropriate content, frequency, duration and unique features needed for an effective cessation/reduction TM programme. Methods: Six focus groups and six telephone interviews were convened with 36 pregnant and postpartum women 16–30 years of age. Results: Three main themes were identified: 1) topic areas that women would like TM to focus on; 2) the need for messages to be tailored; and 3) the importance for the programme to take a woman-centered approach. Conclusions: Respondents supported the idea of a TM cessation/reduction intervention and had clear programme recommendations. A personalised, woman-centered TM programme that meets a young woman's unique needs and addresses her concerns through her participation and direction is likely to empower and support her to quit/reduce.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".