Evidence map›Paper›PMID 30971249›Full record

ArticleBMC public health2019

The association of county-level socioeconomic factors with individual tobacco and alcohol use: a longitudinal study of U.S. adults.

Rita Hamad, Daniel M Brown, Sanjay Basu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  9. Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  10. Article
  11. Space and Place in Alcohol Research.Current epidemiology reports · 2019
    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

3 authors at 3 institutions in 1 country.

Rita HamadDepartment of Family and Community Medicine, Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 995 Potrero Avenue, Building 80, Ward 83, San Francisco, CA, 94110, USA. rita.hamad@ucsf.edu.ORCID http://orcid.org/0000-0003-0730-4077
Daniel M BrownEnvironmental Health Sciences Division, University of California Berkeley, Berkeley, California, USA.
Sanjay BasuDepartment of Medicine, Stanford University, Palo Alto, California, USA.
Stanford University · USUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Assessing the Impact of Educational Interventions on Reducing Disparities in Hypertension and Related BiomarkersK08HL132106 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAMAD, RITA · 2016 to 2019
$668k
National Institutes of Health DP2 MD010478National Institutes of Health K08 HL132106
6 · The paper itself

Abstract

backgroundPlace-based factors have been implicated as root causes of socioeconomic disparities in risky health behaviors such as tobacco and alcohol use. Yet few studies examine the effects of county-level socioeconomic characteristics, despite the fact that social and public health policies are often implemented at the county level. In this study, we tested the hypothesis that county-level socioeconomic disadvantage was associated with individual tobacco and alcohol use.

methodsThe sample included a panel of participants from the National Longitudinal Survey of Youth (N = 9302). The primary predictors were three time-varying measures of socioeconomic disadvantage in an individual's county of residence: educational attainment, percent unemployment, and per capita income. We first conducted traditional ordinary least squares (OLS) models, both unadjusted and adjusted for individual-level covariates. We then conducted fixed effects (FE) models to adjust for confounding by unmeasured time-invariant individual-level factors.

resultsOLS and FE models yielded contrasting results: higher county-level per capita income was associated with decreased drinking in OLS models and increased drinking in FE models, while decreased county-level educational attainment was associated with decreased smoking in OLS models and more cigarettes per day in FE models. The findings from FE models suggest that OLS models were confounded by unobserved time-invariant characteristics. Notably, the point estimates for the county-level measures were small, and in many cases they may not represent a clinically meaningful effect except at the population level.

conclusionsThese results suggest that county-level socioeconomic characteristics may modestly influence tobacco and alcohol use. Future work should examine the effects of specific county policies that might explain these findings.

Indexed as

EnvironmentSocioeconomic FactorsAdolescentAlcohol DrinkingFemaleHumansIncomeLongitudinal StudiesMaleTobacco UseUnemploymentUnited StatesYoung AdultAlcoholArea effectsCounty effectsFixed effectsHealth disparitiesSocial epidemiologyTobacco

Identifiers

PMID30971249
PMCPMC6458796
OpenAlexW2945419970

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.