Evidence map›Paper›PMID 28183012›Full record

ArticleHealth & place2017

A prospective investigation of neighborhood socioeconomic deprivation and self-rated health in a large US cohort.

Qian Xiao, David Berrigan, Charles E Matthews

Abstract read
In one paragraph

Article in Health & place, 2017. 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
–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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Association between community socioeconomic status and adults' self-rated health in China].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Article
  9. Article
  10. Observational
  11. 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.

Qian XiaoDepartment of Health and Human Physiology, University of Iowa, Iowa City, IA, USA. Electronic address: qian-xiao@uiowa.edu.
David BerriganDivision of Cancer Control and Population Sciences, National Cancer Institute, USA.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, USA.

Funding

Prospective Studies of Diet and Cancer in the AARP CohortZIACP010196 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$21.0M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundNeighborhood characteristics play a critical role in health. Self-rated health (SRH) is an important indicator of quality of life and a strong predictor of premature death. Prospective study on neighborhood deprivation and SRH is limited.

methodsWe examined neighborhood socioeconomic deprivation with reporting fair/poor SRH at follow-up (2004-2006) in 249,265 men and women (age 50-71) who reported SRH as good or better at baseline (1995-1996) in the NIH-AARP Health and Diet Study. Baseline addresses were geocoded and linked to 2000 Census. Census tract level variables were used to generate a socioeconomic deprivation index by principle component analysis.

resultsResidents of more deprived neighborhoods had a higher risk of developing poor/fair SRH at follow-up, even after adjusting for individual-level factors (Odds ratio (95% confidence interval)

conclusionNeighborhood disadvantage predicts SRH over 10 years.

Indexed as

Diagnostic Self EvaluationSocioeconomic FactorsAgedCensusesDietFemaleHealth BehaviorHumansMaleMiddle AgedMortality, PrematureProspective StudiesResidence CharacteristicsRisk FactorsSmokingSurveys and QuestionnairesNeighborhoodSelf-rated healthSocioeconomic deprivation

Identifiers

PMID28183012
PMCPMC5425289

What OpenQuestion holds

Textmetadata
LicenceTDM
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.