Evidence map›Paper›PMID 30287604›Full record

ArticleBMJ open2018

Association of neighbourhood socioeconomic status and diabetes burden using electronic health records in Madrid (Spain): the HeartHealthyHoods study.

Usama Bilal, Felicia Hill-Briggs, Luis Sánchez-Perruca, Isabel Del Cura-González, Manuel Franco

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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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

23 citing papers in PubMed.

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  13. Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
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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.

Usama BilalDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-9868-7773
Felicia Hill-BriggsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Luis Sánchez-PerrucaPrimary Care Management, Madrid Health Service, Madrid, Spain.
Isabel Del Cura-GonzálezHealth Services Research on Chronic Patients Network (REDISSEC), ISCIII, Madrid, Spain.
Manuel FrancoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2013 to 2017
$9.7M
NIDDK NIH HHS P30 DK079637
6 · The paper itself

Abstract

objectiveTo study the association between neighbourhood socioeconomic status and diabetes prevalence, incidence, and control in the entire population of northeastern Madrid, Spain.

settingElectronic health records of the primary-care system in four districts of Madrid (Spain).

participants269 942 people aged 40 or older, followed from 2013 to 2014. EXPOSURE: Neighbourhoodsocioeconomic status (NSES), measured using a composite index of seven indicators from four domains of education, wealth, occupation and living conditions. PRIMARY OUTCOME MEASURES: Diagnosis of diabetes based on ICPC-2 codes and glycated haemoglobin (HbA1c %).

resultsIn regression analyses adjusted by age and sex and compared with individuals living in low NSES neighbourhoods, men living in medium and high NSES neighbourhoods had 10% (95% CI: 6% to 15%) and 29% (95% CI: 25% to 32%) lower prevalence of diabetes, while women had 27% (95% CI: 23% to 30%) and 50% (95% CI: 47% to 52%) lower prevalence of diabetes. Moreover, the hazard of diabetes in men living in medium and high NSES neighbourhoods was 13% (95% CI: 1% to 23%) and 20% (95% CI: 9% to 29%) lower, while the hazard of diabetes in women living in medium and high NSES neighbourhoods was 17% (95% CI: 3% to 29%) and 31% (95% CI: 20% to 41%) lower. Individuals living in medium and high SES neighbourhoods had 8% (95% CI: 2% to 15%) and 15% (95% CI: 9% to 21%) lower prevalence of lack of diabetes control, and a decrease in average HbA1c % of 0.05 (95% CI: 0.01 to 0.10) and 0.11 (95% CI: 0.06 to 0.15).

conclusionsDiabetes prevalence, incidence and lack of control increased with decreasing NSES in a southern European city. Future studies should provide mechanistic insights and targets for intervention to address this health inequity.

Indexed as

Residence CharacteristicsSocioeconomic FactorsAgedCohort StudiesDiabetes MellitusElectronic Health RecordsFemaleGlycated HemoglobinHumansIncidenceMaleMiddle AgedPrevalenceSex FactorsSpainGlycated Hemoglobinhemoglobin A1c protein, humandiabetesneighborhoodsrecord linkagesocial epidemiologysocial inequalitiesspain

Identifiers

PMID30287604
PMCPMC6173235

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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.