ArticleFrontiers in public health2023
Causal association between air pollution and frailty: a Mendelian randomization study.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and meta-analysis of air pollution and increased risk of frailty.Age and ageing · 2025Pooled it
- Mendelian Randomization and Infection: Pitfalls and Promises.The Journal of infectious diseases · 2025Review
- Lifestyle, environment and other major determinants of frailty in older adults: a population-based study from the UK Biobank.Biogerontology · 2025Article
- Cross ethnic Mendelian randomization analysis reveals causal relationship between air pollution and risk of kidney stones.Scientific reports · 2025Article
- Global burden of pulmonary sarcoidosis from 1990 to 2021: a comprehensive analysis based on the GBD 2021 study.Frontiers in medicine · 2025Article
- Exposure to air pollution might decrease bone mineral density and increase the prevalence of osteoporosis: a Mendelian randomization study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Article
- Causal relationship and shared genes between air pollutants and amyotrophic lateral sclerosis: A large-scale genetic analysis.CNS neuroscience & therapeutics · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Backgrounds: Frailty is a significant problem for older persons since it is linked to a number of unfavorable consequences. According to observational researches, air pollution may raise the risk of frailty. We investigated the causal association between frailty and air pollution (including PM Methods: We conducted MR analysis using extensive publically accessible GWAS (genome-wide association studies) summary data. The inverse variance weighted (IVW) method was employed as the primary analysis method. The weighted median model, MR-Egger, simple model, and weighted model approaches were chosen for quality control. The Cochran's Q test was utilized to evaluate heterogeneity. Pleiotropy is found using the MR-Egger regression test. The MR-PRESSO method was used to recognize outliers. The leave-one-out strategy was used to conduct the sensitivity analysis. Results: MR results suggested that PM Conclusion: The current MR investigation shows a causal association between PM
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Registered trials
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