Evidence map›Paper›PMID 42169130›Full record

ArticleEnvironmental health : a global access science source2026

Green space exposure and risk of amyotrophic lateral sclerosis: a population-based case-control study in Northern Italy.

Asia Sarti, Jessica Mandrioli, Sofia Costanzini, Guigo Xavier Balbo, Carlotta Malagoli, Niccolò Martini, Francesca Despini, Federica Violi, Marcella Malavolti, Ilaria Martinelli and 7 more

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Asia SartiEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy.
Jessica MandrioliDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi, 287, Modena, 41125, Italy.
Sofia CostanziniDepartment of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Modena, 41125, Italy.
Guigo Xavier BalboEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy.
Carlotta MalagoliEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy.
Niccolò MartiniDepartment of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Modena, 41125, Italy.
Francesca DespiniDepartment of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Modena, 41125, Italy.
Federica VioliEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy.
Marcella MalavoltiEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy.
Ilaria MartinelliDepartment of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, 41126, Italy.
Matteo GiacchinoDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi, 287, Modena, 41125, Italy.
Giulia DonelliDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Campi, 287, Modena, 41125, Italy.
Elena CanaliDepartment of Neurology, IRCCS Arcispedale Santa Maria Nuova, Reggio Emilia, 42123, Italy.
Lucia ZinnoDepartment of General and Specialized Medicine, University Hospital of Parma, Parma, 43126, Italy.
Sergio TeggiDepartment of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, Modena, 41125, Italy.
Marco VincetiEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy.
Tommaso FilippiniEnvironmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, 41125, Italy. tommaso.filippini@unimore.it.

Funding

Ministero dell'Università e della Ricerca "PRIN 2022" (No. 2022MHMRPR)Università Degli Studi di Modena e Reggio Emilia "UNIMORE FAR 2023"
6 · The paper itself

Abstract

backgroundThe contribution of environmental determinants in the etiology of amyotrophic lateral sclerosis (ALS) is still unclear. Among the various environmental factors, exposure to green spaces, also known as greenness, is attracting considerable interest as many studies have reported its beneficial associations to health outcomes, particularly to neurodegenerative diseases.

methodsTo investigate the relation between greenness and ALS risk, we conducted a population-based case-control study in a Northern Italy population (from Modena, Reggio Emilia and Parma provinces), including 499 cases of ALS newly-diagnosed from 1998 to 2011 and 1,935 sex-, age-, and province-matched controls randomly selected from study provinces residents. We evaluated the association between greenness in the proximity of residence and ALS risk, assessing exposure through multiple satellite-based and land-use derived indices, both conventional and novel devised, for a total of six indices, each providing specific information, including annual and seasonal Normalized Difference Vegetation Index (NDVI), NDVI-weighted to green areas, green cover ratio, accessibility index, and their combined Green Exposure Index (GEI). We used conditional logistic regression models to evaluate disease risk for increasing exposure through both fixed-categories and non-linear restricted cubic splines.

resultsWe observed a non-linear U-shaped association between greenness and ALS risk with increased odds ratios at both low and high levels. Results were more defined when using NDVI-based indices, while the associations were smoother when considering GEI. The higher risk at low levels may be related to lower accessibility to green spaces with lower physical activity and higher exposure to outdoor air pollutants, whilst elevated greenness may reflect higher exposure to neurotoxic pesticides. These results were confirmed also after adjustment for potential confounders, namely magnetic fields and light at night. Sex stratified analysis yielded similar results, except for more distinct associations in females for GEI.

conclusionsDespite the limitations due to possible unmeasured confounding and exposure misclassification related to the use of residential data, our results provide evidence of an inverse association between intermediate residential greenness and ALS risk, and may have public health implications including disease prevention and urban planning.

Indexed as

Amyotrophic Lateral SclerosisEnvironmentEnvironmental ExposureAdultAgedCase-Control StudiesFemaleHumansItalyMaleMiddle AgedRisk FactorsAmyotrophic lateral sclerosisEnvironmental factorsGreennessLand use indicesSatellite-based indices

Identifiers

PMID42169130
PMCPMC13371270

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LicenceCC BY
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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.