Evidence map›Paper›PMID 21947903›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2012

Small area estimates reveal high cigarette smoking prevalence in low-income cities of Los Angeles county.

Yan Cui, Susie B Baldwin, Amy S Lightstone, Margaret Shih, Hongjian Yu, Steven Teutsch

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Neighborhood social cohesion and smoking among legal and unauthorized Brazilian migrants in metropolitan Boston.Journal of urban health : bulletin of the New York Academy of Medicine · 2014
    Article
  8. Article
  9. Article
  10. 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

6 authors.

Yan CuiOffice of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, CA, USA. ycui@ph.lacounty.gov
Susie B Baldwin
Amy S Lightstone
Margaret Shih
Hongjian Yu
Steven Teutsch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Los Angeles County has among the lowest smoking rates of large urban counties in the USA. Nevertheless, concerning disparities persist as high smoking prevalence is found among certain subgroups. We calculated adult smoking prevalence in the incorporated cities of Los Angeles County in order to identify cities with high smoking prevalence. The prevalence was estimated by a model-based small area estimation method with utilization of three data sources, including the 2007 Los Angeles County Health Survey, the 2000 Census, and the 2007 Los Angeles County Population Estimates and Projection System. Smoking prevalence varied considerably across cities, with a more than fourfold difference between the lowest (5.3%) and the highest prevalence (21.7%). Higher smoking prevalence was generally found in socioeconomically disadvantaged cities. The disparities identified here add another layer of data to our knowledge of the health inequities experienced by low-income urban communities and provide much sought data for local tobacco control. Our study also demonstrates the feasibility of providing credible local estimates of smoking prevalence using the model-based small area estimation method.

Indexed as

AdolescentAdultCensusesFeasibility StudiesFemaleHealth SurveysHumansLogistic ModelsLos AngelesMaleMiddle AgedPovertyPrevalenceSmokingYoung Adult

Identifiers

PMID21947903
PMCPMC3368049

What OpenQuestion holds

Textmetadata
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.