Evidence map›Paper›PMID 16100308›Full record

ArticleJournal of epidemiology and community health2005

A brief conceptual tutorial on multilevel analysis in social epidemiology: investigating contextual phenomena in different groups of people.

Juan Merlo, Min Yang, Basile Chaix, John Lynch, Lennart Råstam

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers.

0numbers the graph read from it
0cells of the map it votes in
187citing 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

187 citing papers in PubMed.

  1. Trial
  2. Trial
  3. From Averages to Heterogeneity: A Plain-Language Guide to MAIHDA in Epidemiology.International journal of social determinants of health and health services · 2026
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  7. Advancing Methods to Study Clinical Variation in Healthcare.Journal of evaluation in clinical practice · 2026
    Review
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  16. Review
  17. Article
  18. Article
  19. Article
  20. Observational

127 more citing papers are in PubMed but not listed here.

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.

Juan MerloDepartment of Community Medicine, Lund University Hospital, S-205 02 Malmö, Sweden. juan.merlo@smi.mas.lu.se
Min Yang
Basile Chaix
John Lynch
Lennart Råstam

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objective(1) To provide a didactic and conceptual (rather than mathematical) link between multilevel regression analysis (MLRA) and social epidemiological concepts. (2) To develop an epidemiological vision of MLRA focused on measures of health variation and clustering of individual health status within areas, which is useful to operationalise the notion of "contextual phenomenon". The paper shows how to investigate (1) whether there is clustering within neighbourhoods, (2) to which extent neighbourhood level differences are explained by the individual composition of the neighbourhoods, (3) whether the contextual phenomenon differs in magnitude for different groups of people, and whether neighbourhood context modifies individual level associations, and (4) whether variations in health status are dependent on individual level characteristics. DESIGN AND

participantsSimulated data are used on systolic blood pressure (SBP), age, body mass index (BMI), and antihypertensive medication (AHM) ascribed to 25 000 subjects in 39 neighbourhoods of an imaginary city. Rather than assessing neighbourhood variables, the paper concentrated on SBP variance between individuals and neighbourhoods as a function of individual BMI.

resultsThe variance partition coefficient (VPC) showed that clustering of SBP within neighbourhoods was greater for people with a higher BMI. The composition of the neighbourhoods with respect to age, AHM use, and BMI explained about one fourth of the neighbourhood differences in SBP. Neighbourhood context modified the individual level association between BMI and SBP. Individual level differences in SBP within neighbourhoods were larger for people with a higher BMI.

conclusionsStatistical measures of multilevel variations can effectively quantify contextual effects in different groups of people, which is a relevant issue for understanding health inequalities.

Indexed as

Epidemiologic MethodsHealth StatusAdultAnalysis of VarianceAntihypertensive AgentsBlood PressureBody Mass IndexCluster AnalysisHumansMiddle AgedModels, StatisticalRegression AnalysisResidence CharacteristicsAntihypertensive Agents

Identifiers

PMID16100308
PMCPMC1733145

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Registered trials

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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.