ArticleCureus2016
Availability, Strengths and Limitations of US State Driver's License Data for Obesity Research.
Article in Cureus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Missed opportunities to advance knowledge on traffic safety: Accessibility of driver licensing and crash data for scientific research.Accident; analysis and prevention · 2020Article
- Associations between types of greenery along neighborhood roads and weight status in different climates.Urban forestry & urban greening · 2019Article
- Examining validity of body mass index calculated using height and weight data from the US driver license.BMC public health · 2019Article
- How has big data contributed to obesity research? A review of the literature.International journal of obesity (2005) · 2018Review
- Article
- Opportunities for life course research through the integration of data across Clinical and Translational Research Institutes.Journal of clinical and translational science · 2018Article
- Varying age-gender associations between body mass index and urban greenspace.Urban forestry & urban greening · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDriver's license records in the United States typically contain age, sex, height, weight, and home address. By combining the body mass index (calculated from the reported height and weight) and address information, researchers can explore and quantify the relationships between obesity and specific environmental features surrounding the place of residence. We report here our experience obtaining those data and the current state of driver's license data as an epidemiological resource.
methodsThe specific state agency responsible for maintaining driver's license databases was contacted by email, phone, or both methods for each of the 50 states and the District of Columbia.
resultsFourteen states with a combined population of 89.8 million people indicated they could provide a total of 73.3 million unique driver's license (and non-driver identification) data records with address, height, weight, gender, and age, representing 82% of the population in these states. Four additional states will provide data with a zip code but not the street address. A total of 52.6 million unique analyzable records from seven states has been acquired and analyzed. Obesity is more prevalent among males and those living in less urbanized areas.
conclusionDriver's licenses represent an underused resource for studying the geographic correlates of obesity and other public health issues.
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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.