Evidence map›Paper›PMID 40875558›Full record

ArticleEuropean journal of public health2025

Exposome factors associated with multi-morbidity in older adults: a discovery-based cross-sectional analysis in the Longitudinal Aging Study Amsterdam.

Diana J Mora, Jeroen Lakerveld, Laura A Schaap, Mélanie Bertin, Natasja M van Schoor, Bram J Berntzen

Abstract read
In one paragraph

Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Diana J MoraDepartment of Surgery, Medical and Social Sciences, Universidad de Alcalá, Alcalá de Henares, Spain.ORCID 0000-0001-9356-163X
Jeroen LakerveldDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0002-8551-6748
Laura A SchaapHealth Behaviors and Chronic Diseases, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.ORCID 0000-0001-9703-4570
Mélanie BertinDepartment of Quantitative Methods in Public Health, École des Hautes Études en Santé Publique, University of Rennes, Rennes, France.ORCID 0000-0001-9683-6256
Natasja M van SchoorDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0003-3152-6200
Bram J BerntzenDepartment of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0001-6559-942X

Funding

Amsterdam UMCBeta Technology n°10099041European Union's Horizon Europe Research and Innovation Programme n°101137146Geoscience and Health Cohort ConsortiumHorizon Europe Project STAGE n°10112787Imperial College LondonNetherlands Organization for Health Research and DevelopmentNetherlands Organization for Scientific ResearchSTAGEUniversity of Bristol n°10109957
6 · The paper itself

Abstract

Ageing populations and longer life expectancies challenge healthcare systems due to rising noncommunicable diseases (NCDs) and multi-morbidity. Designing healthier living environments may reduce population risks of NCD onset, but knowledge is needed on environmental factors related to NCDs in older adults. We therefore examined associations between residential neighbourhood built, physico-chemical, and sociodemographic environmental factors and NCD prevalence in the Netherlands among older adults. Cross-sectional data from 1578 older adults from the Longitudinal Aging Study Amsterdam (2008-09) were matched with environmental data from the Dutch Geoscience and Health Cohort Consortium (GECCO). Multivariable logistic regression analyses were conducted to assess the odds of having a single NCD versus no NCD and multi-morbidity versus no NCD, adjusted for sociodemographic factors. Participants had a mean age of 73.2 years, 55% were female, and 77% reported at least one NCD. Multi-morbidity was more common in women, who were also older and had lower education and income. Higher green space density within 500 m was significantly associated with lower odds of single NCD [odds ratio (OR): 0.52, 95% confidence interval (CI): 0.33-0.83]. A higher number of cars in a household also showed lower odds of single NCD (OR: 0.14, 95% CI: 0.04-0.55). No significant associations were observed for physico-chemical exposures. Results were consistent in sensitivity analyses. The findings underscore the need for urban planning and policies that support healthy ageing while embracing a longevity-ready perspective, accounting for the built, physico-chemical, and sociodemographic environments across the life-course.

Indexed as

ExposomeMultimorbidityNeighborhood CharacteristicsNoncommunicable DiseasesAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleNetherlandsPrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID40875558
PMCPMC12707482

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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.