Evidence map›Paper›PMID 34709424›Full record

ArticleDiabetologia2022

Exercise facilities and the prevalence of obesity and type 2 diabetes in the city of Madrid.

Luis Cereijo, Pedro Gullón, Isabel Del Cura, David Valadés, Usama Bilal, Hannah Badland, Manuel Franco

Abstract read
In one paragraph

Article in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Socioeconomic inequalities in exposure to neighbourhood environments for physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2026
    Pooled it
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  11. Properties of the Spanish Version of the Place Standard Tool.International journal of environmental research and public health · 2022
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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

7 authors.

Luis CereijoFacultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de Investigación en Epidemiología y Salud Pública, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain.ORCID 0000-0003-2118-3806
Pedro GullónFacultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de Investigación en Epidemiología y Salud Pública, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain. pedro.gullon@uah.es.ORCID 0000-0002-7641-1514
Isabel Del CuraGerencia de Atención Primaria, Unidad de Investigación de Atención Primaria, Madrid, Spain.
David ValadésFacultad de Medicina y Ciencias de la Salud, Departamento de Ciencias Biomédicas, Grupo de investigación en gestión y entrenamiento deportivo, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain.ORCID 0000-0002-4709-2390
Usama BilalUrban Health Collaborative, Drexel Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.ORCID 0000-0002-9868-7773
Hannah BadlandCentre for Urban Research, RMIT University, Melbourne, VIC, Australia.ORCID 0000-0002-8936-2715
Manuel FrancoFacultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de Investigación en Epidemiología y Salud Pública, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain.ORCID 0000-0003-1366-9398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWe aimed to study the association between the availability of exercise facilities and the likelihood of obesity and type 2 diabetes in the adult population of Madrid, Spain.

methodsWe analysed the electronic medical records of all 1,270,512 residents of Madrid aged 40-75 years in 2017. Exercise facility availability was defined as the count of exercise facilities in a 1000 m street network buffer around each residential building entrance. Poisson regression with standard errors clustered at census tract level was used to assess prevalence ratios of exercise facility availability tertiles and obesity and type 2 diabetes. We also examined stratified results by tertiles of area-level socioeconomic status (SES) and sex.

resultsPeople living in areas with lower availability of exercise facilities had a higher prevalence of obesity (prevalence ratio [PR] 1.22 [95% CI 1.20, 1.25]) and diabetes (PR 1.38 [95% CI 1.34, 1.43]). We observed effect modification by area-level SES (p<0.001), with stronger associations for residents living in low-SES areas and no association for residents living in high-SES areas. Associations with type 2 diabetes were stronger among women compared with men, while associations with obesity were similar by sex. CONCLUSIONS/

interpretationPeople living in areas with low availability of exercise facilities had a higher prevalence of obesity and type 2 diabetes, and this association was strongest in low-SES areas and for women. Understanding the potential role of exercise facilities in driving inequities in obesity and type 2 diabetes prevalence may inform interventions to reduce health inequities.

Indexed as

Diabetes Mellitus, Type 2AdultAgedExerciseFemaleHumansMaleMiddle AgedObesityPrevalenceResidence CharacteristicsSocial ClassElectronic medical recordsExerciseInequitiesObesitySocial determinantsType 2 diabetesUrban health

Identifiers

PMID34709424
PMCPMC8660723

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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.