ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2012
Detecting graded exposure effects: a report on an East Boston pregnancy cohort.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Nicotine dependence and biochemical exposure measures in the second trimester of pregnancy.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2014Trial
- Federated Choquet Regression with LASSO for Outcome Prediction in Multisite Longitudinal Trial Data.ACM transactions on computing for healthcare · 2026Article
- Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data.IEEE internet of things journal · 2024Article
- Topic modeling for systematic review of visual analytics in incomplete longitudinal behavioral trial data.Smart health (Amsterdam, Netherlands) · 2020Article
- An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data.IEEE transactions on big data · 2018Article
- eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2018Article
- MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health.Smart health (Amsterdam, Netherlands) · 2017Article
- A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2017Article
- Acculturation, Depression, and Smoking Cessation: a trajectory pattern recognition approach.Tobacco induced diseases · 2017Article
- Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2016Article
- Multiple Imputation based Clustering Validation (MIV) for Big Longitudinal Trial Data with Missing Values in eHealth.Journal of medical systems · 2016Article
- ESammon: A Computationaly Enhanced Sammon Mapping based on Data Density.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2016Article
- iMStrong: Deployment of a Biosensor System to Detect Cocaine Use.Journal of medical systems · 2015Article
- Examination of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68) Factor Structure in a Sample of Pregnant Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2015Article
- A New MI-Based Visualization Aided Validation Index for Mining Big Longitudinal Web Trial Data.IEEE access : practical innovations, open solutionsArticle
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 2 countries.
Funding
Abstract
introductionThe effects of tobacco exposure are typically examined by comparing groups based on a cut-score of self-reported number of cigarettes or bioassays collected in cross-sectional studies. This study introduces a new fuzzy clustering method that facilitates detection of subtle exposure effects by objectively deriving subgroups from modeling multidimensional exposure measures. We test the new method on a known exposure effect (fetal growth) and report on the graded exposure effect detected in a pregnancy cohort.
methodsA total of 978 pregnant women were enrolled from 1986 to 1992 in the Maternal Infant Smoking Study of East Boston (MISSEB). Four kinds of exposure data were used to generate exposure groups: self-reported smoking, cotinine levels, nicotine levels, and nicotine dependence scores. Subgroups were identified via a comprehensive validation procedure. The results from MISSEB (number of exposure clusters, exposure effects on birth weight, body length, and head circumference) were compared with those obtained in a separate cohort.
resultsUsing our new method in MISSEB, the same number of clusters was generated as previously, and graded exposure effects were again detected. Neonates with heavier exposure weighed less at birth relative to nonexposed neonates, with no difference between lighter-exposed and nonexposed neonates.
conclusionsThe same graded prenatal exposure effect emerges for known exposure-related outcomes across 2 different studies, about 2 decades apart. Our new method characterizes the degree of prenatal exposure, with the potential to help detect subtler effects on developmental outcomes, such as deficits in growth or development, neonatal temperament and behavior, and psychological functioning.
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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.