Evidence map›Paper›PMID 25033152›Full record

ArticleAmerican journal of public health2014

Community characteristics and mortality: the relative strength of association of different community characteristics.

Kitty S Chan, Eric Roberts, Rachael McCleary, Christine Buttorff, Darrell J Gaskin

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. No Man is an Island: The Impact of Neighborhood Disadvantage on Mortality.International journal of environmental research and public health · 2019
    Article
  12. Cancer mortality disparities among New York City's Upper Manhattan neighborhoods.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2017
    Article
  13. Article
  14. Article
  15. 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

5 authors.

Kitty S ChanAll of the authors are with the Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Eric Roberts
Rachael McCleary
Christine Buttorff
Darrell J Gaskin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe compared the strength of association between average 5-year county-level mortality rates and area-level measures, including air quality, sociodemographic characteristics, violence, and economic distress.

methods. We obtained mortality data from the National Vital Statistics System and linked it to socioeconomic and demographic data from the Census Bureau, air quality data, violent crime statistics, and loan delinquency data. We modeled 5-year average mortality rates (1998-2002) for all-cause, cancer, heart disease, stroke, and respiratory diseases as a function of county-level characteristics using ordinary least squares regression models. We limited analyses to counties with population of 100,000 or greater (n = 458).

resultsDemographic and socioeconomic characteristics, particularly the percentage older than 65 years and near poor, were top predictors of all-cause and condition-specific mortality, as were a high concentration of construction and service workers. We found weaker associations for air quality, mortgage delinquencies, and violent crimes. Protective characteristics included the percentage of Hispanics, Asians, and married residents.

conclusionsMultiple factors influence county-level mortality. Although county demographic and socioeconomic characteristics are important, there are independent, although weaker, associations of other environmental characteristics. Future studies should investigate these factors to better understand community mortality risk.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAir PollutionCardiovascular DiseasesChildChild, PreschoolCrimeHumansInfantInfant, NewbornMiddle AgedMortalityNeoplasms

Identifiers

PMID25033152
PMCPMC4151920

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.