ArticlePreventive medicine2020
Behavior change, health, and health disparities 2020: Some current challenges in tobacco control and regulatory science.
Article in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 7 citations in OpenAlex.
- Behavior change, health, and health disparities 2023: Contingency management for treating substance use disorders and promoting health in vulnerable populations.Preventive medicine · 2023Article
- Using an experimental tobacco marketplace to pilot test the substitutability of JUUL e-cigarettes and other alternative nicotine and tobacco products for conventional cigarettes among vulnerable populations.Preventive medicine · 2022Article
- Youth Assets, Neighborhood Factors, Parental Income, and Tobacco Use: A Longitudinal Study of Health Disparities.International journal of environmental research and public health · 2022Article
- Behavior change, health, and health disparities 2021: Rural addiction and health.Preventive medicine · 2021Article
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
This Special Issue of Preventive Medicine (PM) is the 7th in a series on behavior change, health, and health disparities. This series focuses on personal behavior patterns, including substance use disorders, physical inactivity/obesity, and non-adherence with medical regimens, which are among the most important modifiable causes of chronic disease and premature death. This 7th issue includes 17 commentaries, reviews, and original empirical studies, 16 of which are devoted to current tobacco control and regulatory science research and policy, topics critically important to protecting the public health from the longstanding and devastating harms of tobacco use. The challenge of balancing efforts to protect youth from e-cigarettes while allowing for evidence-based evaluation of their potential to reduce the harms of cigarette smoking among adults features prominently in many of these contributions, complemented by original studies on rural-urban disparities, tobacco harm perceptions, use patterns and toxin exposure, modeling of tobacco-related mortality, novel tobacco research methods, and reducing cigarette smoking through regulatory policies, including nicotine reduction in cigarettes, and novel clinical interventions. Continuing to give space in this series to the U.S. opioid epidemic, we also include an original empirical report on longitudinal trends of non-medical use of opioids from 2008 to 2020 in rural Appalachia, an epicenter in this epidemic. Across each of these topics we have recruited contributions from well-regarded investigators, clinicians, and policymakers to acquaint readers with recent advances and accomplishments while also noting knowledge gaps and unresolved challenges.
Indexed as
Identifiers
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.