ReviewExperimental and clinical psychopharmacology2020
Reducing tobacco use among women of childbearing age: Contributions of tobacco regulatory science and tobacco control.
Review in Experimental and clinical psychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- A nonlinear decomposition analysis of the rural-urban disparities in tobacco use among women in sub-Saharan Africa.PloS one · 2025Article
- Smoking Patterns and Anxiety Factors Among Women Expressing Perinatal Depression.Women's health reports (New Rochelle, N.Y.) · 2022Article
- Electronic Nicotine Delivery Systems (ENDS) Use and Pregnancy II: Perinatal Outcomes Following ENDS Use During Pregnancy.Current addiction reports · 2021Article
- The association between preconception cannabis use and depression and anxiety during pregnancy.General hospital psychiatryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Tobacco use has unique, adverse health consequences for reproductive-aged women, particularly should these women become pregnant. Thus, successful efforts to reduce tobacco use among this population have strong potential to improve public health and reduce health disparities. The present review examines contributions to reducing tobacco use among women of childbearing age spanning the domains of tobacco regulatory science and tobacco control from the passage of the Family Smoking Prevention and Tobacco Control Act in 2009 through September 2019. In the domain of tobacco regulatory science, such efforts include research conducted by various National Institutes of Health/Food and Drug Administration (FDA)-supported Tobacco Centers of Regulatory Science, epidemiological surveillance studies, as well as studies examining the potential impact of tobacco regulatory policies currently under consideration by the FDA (e.g., reduced nicotine content cigarettes, health warning labels). Tobacco control efforts within this same 10-year timeframe include developments in pharmacological and psychosocial approaches to promoting tobacco cessation, mHealth interventions, and tobacco control policy. Emerging issues pertinent to ongoing efforts to reduce tobacco use within the domains of both tobacco regulatory science and tobacco control are also reviewed, including e-cigarettes, comorbid health conditions, course of tobacco and other drugs of abuse, and obstacles to the dissemination and implementation of evidence-based treatment and policy. Although the past decade has seen numerous important contributions to reducing tobacco use among reproductive-aged women within both domains, existing obstacles must be surmounted to continue reducing tobacco use and protecting health among this population. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.