Cited by 106Health disparities and outcomesPublic Health and Social InequalitiesDiabetes, Cardiovascular Risks, and Lipoproteins

Locality deprivation and Type 2 diabetes incidence: A local test of relative inequalities

Cox, Matthew, Boyle, Paul J., Davey, Peter G., Feng, Zhiqiang, Morris, Andrew D.·2007·Social Science & Medicine

Abstract

There is increasing evidence that the socio-spatial context of the local area in which one lives can have an effect on health, but teasing out contextual influences is not a simple task. We examine whether the incidence of Type 2 diabetes in small areas in Tayside, Scotland is associated with deprivation in neighbouring areas, controlling for the deprivation of the area itself. As such, this is a genuinely 'contextual' variable situating each small area in the context of surrounding places. We test two opposing hypotheses. First, a 'psycho-social' hypothesis might suggest that negative social comparisons made by individuals in relation to those who surround them could lead to chronic low-level stress via psycho-social pathways, the physiological effects of which could promote diabetes. Thus, we would expect people living in deprived areas surrounded by less deprived areas to have an increased risk of diabetes, compared to those living in similarly deprived areas that are surrounded by equally or more deprived areas. Alternatively, a neo-materialist approach might suggest that the social, cultural and environmental resources in the surrounding environment will influence circumstances in a particular area of interest. Poorer areas surrounded by less deprived areas would benefit from the better resources in the wider locality, while less deprived areas surrounded by poorer areas may be hampered by the poorer resources available nearby. We refer to this as the 'pull-up/pull-down'…

Integrity signals

Registry

Crossref · 10.1016/j.socscimed.2007.05.043

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 73 · Cited by 106

Authors
Cox, M., Boyle, P. J., Davey, P. G., Feng, Z., & Morris, A. D.
Affiliations
  • University of St Andrews (GB)
  • University of Dundee (GB)
Corresponding author
Cox, Matthew
Venue
Social Science & Medicine
Publisher
Elsevier BV
Published
2007-11
Volume
65
Issue
9
Pages
1953-1964
ISSN
0277-9536 (ISSN-L)
OpenAlex
W2164977213
Cited by
106
References
73
Citations by year
2026: 6 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 1 · 2021: 8 · 2020: 5 · 2019: 7 · 2018: 5 · 2017: 2 · 2016: 4 · 2015: 8 · 2014: 10 · 2013: 8 · 2012: 9
FWCI
5.50
Type
journal article
Language
en
Open access
closed
Locations
  • Social Science & Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Health › Health disparities and outcomes
  • Social Sciences › Health › Public Health and Social Inequalities
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
type 2 diabetes, neighborhood disadvantage, relative deprivation, small-area analysis, social comparison, new materialism, health disparities, Tayside
MeSH terms
Adult, Aged, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Residence Characteristics, Scotland, Socioeconomic Factors, Stress, Psychological, Incidence, Health Status Disparities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review