Evidence map›Paper›PMID 34792619›Full record

ReviewDiabetologia2022

Environmental risk factors of type 2 diabetes-an exposome approach.

Joline W J Beulens, Maria G M Pinho, Taymara C Abreu, Nicole R den Braver, Thao M Lam, Anke Huss, Jelle Vlaanderen, Tabea Sonnenschein, Noreen Z Siddiqui, Zhendong Yuan and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 4 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

90 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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30 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

14 authors.

Joline W J BeulensDepartment of Epidemiology & Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands. j.beulens@amsterdamumc.nl.ORCID 0000-0002-4181-0937
Maria G M PinhoDepartment of Epidemiology & Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands.ORCID 0000-0003-4928-0851
Taymara C AbreuDepartment of Epidemiology & Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands.ORCID 0000-0003-2699-2303
Nicole R den BraverDepartment of Epidemiology & Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands.ORCID 0000-0002-6345-251X
Thao M LamDepartment of Epidemiology & Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands.ORCID 0000-0002-7240-726X
Anke HussInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Jelle VlaanderenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-9096-692X
Tabea SonnenscheinJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0001-6592-9548
Noreen Z SiddiquiDepartment of Epidemiology & Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands.ORCID 0000-0001-9063-3407
Zhendong YuanInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0003-3326-5243
Jules KerckhoffsInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0001-9065-6916
Alexandra ZhernakovaDepartment of Genetics, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-4574-0841
Milla F Brandao GoisDepartment of Genetics, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0001-7918-2481
Roel C H VermeulenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0003-4082-8163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes is one of the major chronic diseases accounting for a substantial proportion of disease burden in Western countries. The majority of the burden of type 2 diabetes is attributed to environmental risks and modifiable risk factors such as lifestyle. The environment we live in, and changes to it, can thus contribute substantially to the prevention of type 2 diabetes at a population level. The 'exposome' represents the (measurable) totality of environmental, i.e. nongenetic, drivers of health and disease. The external exposome comprises aspects of the built environment, the social environment, the physico-chemical environment and the lifestyle/food environment. The internal exposome comprises measurements at the epigenetic, transcript, proteome, microbiome or metabolome level to study either the exposures directly, the imprints these exposures leave in the biological system, the potential of the body to combat environmental insults and/or the biology itself. In this review, we describe the evidence for environmental risk factors of type 2 diabetes, focusing on both the general external exposome and imprints of this on the internal exposome. Studies provided established associations of air pollution, residential noise and area-level socioeconomic deprivation with an increased risk of type 2 diabetes, while neighbourhood walkability and green space are consistently associated with a reduced risk of type 2 diabetes. There is little or inconsistent evidence on the contribution of the food environment, other aspects of the social environment and outdoor temperature. These environmental factors are thought to affect type 2 diabetes risk mainly through mechanisms incorporating lifestyle factors such as physical activity or diet, the microbiome, inflammation or chronic stress. To further assess causality of these associations, future studies should focus on investigating the longitudinal effects of our environment (and changes to it) in relation to type 2 diabetes risk and whether these associations are explained by these proposed mechanisms.

Indexed as

ExposomeDiabetes Mellitus, Type 2Environmental ExposureHumansRisk FactorsBuilt environmentExposomeFood environmentLifestyleMetabolomicsMicrobiomePhysico-chemical environmentReviewSocial environmentType 2 diabetes

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.