Evidence map›Paper›PMID 26420471›Full record

ArticleBMC research notes2015

Measuring health-relevant businesses over 21 years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set.

Tanya K Kaufman, Daniel M Sheehan, Andrew Rundle, Kathryn M Neckerman, Michael D M Bader, Darby Jack, Gina S Lovasi

Abstract read
In one paragraph

Article in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Measuring "third places": Comparing neighborhood data for cognitive health research.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  7. Tobacco retailer density and rurality across four US states: California, Connecticut, North Carolina, and Ohio.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  19. Sociodemographic Disparities in Tobacco Retailer Density in the United States, 2000-2017.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tanya K KaufmanDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, 8th Floor, New York, NY, 10032, USA. tkk2109@columbia.edu.
Daniel M SheehanDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, 8th Floor, New York, NY, 10032, USA. dms2203@columbia.edu.
Andrew RundleDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, 8th Floor, New York, NY, 10032, USA. agr3@columbia.edu.
Kathryn M NeckermanColumbia Population Research Center, 1255 Amsterdam Avenue, Room 715, New York, NY, 10027, USA. kmn2@columbia.edu.
Michael D M BaderDepartment of Sociology, Center on Health, Risk and Society, American University, Battelle-Thompkins T-15, 4400 Massachusetts Ave., N.W., Washington DC, 20016, USA. bader@american.edu.
Darby JackDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, 722 West 168th Street, 11th Floor, New York, NY, 10032, USA. dj2183@columbia.edu.
Gina S LovasiDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, 8th Floor, New York, NY, 10032, USA. glovasi@columbia.edu.

Funding

Development CoreP2CHD058486 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Jennifer S Hirsch, Julien O Teitler · 2014 to 2026
$4.3M
Linking dynamic environments with childhood obesityK01HD067390 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOVASI, GINA S · 2011 to 2015
$668k
NICHD NIH HHS K01 HD067390NICHD NIH HHS K01HD067390NICHD NIH HHS P2C HD058486
6 · The paper itself

Abstract

backgroundThe densities of food retailers, alcohol outlets, physical activity facilities, and medical facilities have been associated with diet, physical activity, and management of medical conditions. Most of the research, however, has relied on cross-sectional studies. In this paper, we assess methodological issues raised by a data source that is increasingly used to characterize change in the local business environment: the National Establishment Time Series (NETS) dataset. DISCUSSION: Longitudinal data, such as NETS, offer opportunities to assess how differential access to resources impacts population health, to consider correlations among multiple environmental influences across the life course, and to gain a better understanding of their interactions and cumulative health effects. Longitudinal data also introduce new data management, geoprocessing, and business categorization challenges. Examining geocoding accuracy and categorization over 21 years of data in 23 counties surrounding New York City (NY, USA), we find that health-related business environments change considerably over time. We note that re-geocoding data may improve spatial precision, particularly in early years. Our intent with this paper is to make future public health applications of NETS data more efficient, since the size and complexity of the data can be difficult to exploit fully within its 2-year data-licensing period. Further, standardized approaches to NETS and other "big data" will facilitate the veracity and comparability of results across studies.

Indexed as

CommerceDatabases as TopicDelivery of Health CareHealth PersonnelHumansLongitudinal StudiesMotor ActivityTime Factors

Identifiers

PMID26420471
PMCPMC4588464

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.