reviewJournal of Epidemiology & Community HealthMay 23, 2005BRONZE OA

A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon

JMJuan MerloBCBasile ChaixMYMin YangJLJohn LynchLRLennart Råstam

Malmö University · Lund University · +3 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

Results

The intraclass correlation (ICC = 0.08) informed of an appreciable clustering of individual SBP within the neighbourhoods, showing that 8% of the total individual differences in SBP occurred at the neighbourhood level and might be attributable to contextual neighbourhood factors or to the different composition of neighbourhoods.

Conclusions

The statistical idea of clustering emerges as appropriate for quantifying "contextual phenomena" that is of central relevance in social epidemiology. Both concepts convey that people from the same neighbourhood are more similar to each other than to people from different neighbourhoods with respect to the health outcome variable.

Citation impact

682
total citations
FWCI
14.51
Percentile
100%
References
58
Citations per year

Authors

5

Topics & keywords

Keywords
  • Neighbourhood (mathematics)
  • Intraclass correlation
  • Phenomenon
  • Multilevel model
  • Social epidemiology
  • Cluster analysis
  • Conceptual framework
  • Epidemiology
UN Sustainable Development Goals
  • Good health and well-being
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Funding