Evidence map›Paper›PMID 41656452›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Temperature fluctuations and genetic influences on Parkinson's disease: a comprehensive analysis of temperature variability and time spent outdoors in the United States (1999-2023).

Shule Wang, Heng Wang, Gamal Musleh, Wenyi Chu

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. 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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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Shule Wang *Neuroscience Institute, JFK University Medical Center, Edison, NJ, USA. shule.wang@hmhn.org.ORCID http://orcid.org/0000-0003-2472-847X
Heng Wang *Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia.
Gamal Musleh *Department of Internal Medicine, Trinitas Regional Medical Center, Elizabeth, NJ, USA.
Wenyi ChuDepartment of Anesthesiology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson’s disease (PD) represents a significant neurodegenerative challenge, particularly affecting the aging population, with rising incidence and mortality rates contributing to substantial societal and healthcare burdens. Current diagnostic and therapeutic approaches primarily focus on symptomatic treatment, leaving a gap in understanding the environmental and lifestyle factors influencing PD-related mortality. This study aimed to investigate the causal relationship between outdoor activity duration, environmental temperature fluctuations, and PD mortality rates using a combination of epidemiological statistical analyses and Mendelian randomization (MR) methods. Utilizing death rate data from the United States from 1999 to 2023, alongside genetic data from the UK Biobank and the European Bioinformatics Institute, we assessed the impact of seasonal outdoor activity and temperature on PD outcomes. The results showed an overall upward trend in PD mortality in the United States, with significant regional, gender, racial, and age-related disparities. Notably, lower temperature environments, especially temperature fluctuations, significantly increased PD mortality risk. Furthermore, MR analysis revealed that increased outdoor activity duration in winter was associated with a marked reduction in PD risk, highlighting a protective effect that was not observed for summer outdoor activity. Overall, this research provides valuable insights into the temporal dynamics of PD mortality in the United States, elucidating the U-shaped impact of temperature fluctuations on mortality risk and establishing a causal link between increased winter outdoor activity duration and reduced PD risk. These findings contribute to a deeper understanding of the interplay between environmental factors and PD pathogenesis, offering theoretical foundations for public health interventions and clinical management.

Indexed as

Parkinson DiseaseTemperatureAgedFemaleHumansMaleSeasonsUnited StatesCDC wonderMendelian randomizationParkinson disease

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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.