Evidence map›Paper›PMID 10827914›Full record

ArticleJournal of epidemiology and community health2000

The impact of area deprivation on differences in health: does the choice of the geographical classification matter?

S A Reijneveld, R A Verheij, D H de Bakker

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. The relationship of neighbourhood-level material and social deprivation with health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

S A ReijneveldTNO Prevention and Health, Department of Public Health, CE Leiden, The Netherlands.
R A Verheij
D H de Bakker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMany studies show the average health status in deprived areas to be poorer and the use of health care to be higher, but there is hardly any information on the impact of the geographical classification on the size of these differences. This study examines the impact of the geographical classification on the clustering of poor health per area and on the size of the differences in health by area deprivation.

designData on self reported health regarding 5121 people were analysed using three classifications: neighbourhoods, postcode sectors and boroughs. Multilevel logistic models were used to determine the clustering of poor health per area and the size of the differences in health by area deprivation, without and subsequently with adjustment for individual socioeconomic status.

settingGeneral population aged 16 years and over of Amsterdam, The Netherlands.

main outcome measuresSelf rated health, mental symptoms (General Health Questionnaire, 12-item version), physical symptoms and long term functional limitations. MAIN

resultsThe clustering of poor health is largest in neighbourhoods and smallest in postcode sectors. Health differences by area deprivation differ only slightly for the three geographical classifications, both with and without adjustment for individual socioeconomic status.

conclusionsIn this study, the choice of the geographical classification affects the degree of clustering of poor health by area but it has hardly any impact on the size of health differences by area deprivation.

Indexed as

Health StatusPoverty AreasAdolescentAdultAgedCluster AnalysisFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisNetherlandsPovertySocioeconomic Factors

Identifiers

PMID10827914
PMCPMC1731651

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.