Long-term exposure to air pollution and incidence of mental disorders. A large longitudinal cohort study of adults within an urban area

Nobile, Federica; Forastiere, Anna; Michelozzi, Paola; Forastiere, Francesco; Stafoggia, Massimo

doi:10.1016/j.envint.2023.108302

Cited by 9 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors also find an independent association between mental health outcomes and a modelled proxy for road traffic noise, highlighting the difficulty in assessing the independent effects of different pollutants associated with a common source (i.e., road traffic) on mental health. Conversely, [ 13 ] find that the significant results of traffic noise on mental health are attenuated when adjusting for other types of pollution (such as PM 2.5 ), but that the significant effects of PM 2.5 on the hazard rate of schizophrenia spectrum disorder, anxiety and depression were only slightly reduced when adjustment was made for the other exposure variables such as traffic noise. Unfortunately, data availability on other exposures is limited for our sample, particularly for historical periods.…”

Section: Discussionmentioning

confidence: 99%

“…Another meta-analysis of six cohort and two cross-sectional studies found a statistically significant relationship between long-term (> = 1 year) exposure to PM 2.5 (OR = 1.06, 95% CI: 1.00, 1.13 per 5 μg/m 3 increase) and depression prevalence [ 12 ]. Other studies using a variety of statistical methodologies, as well as indicators for air pollution exposure, are suggestive of an association between ambient air pollution and other indicators of mental health and wellbeing such as the incidence of schizophrenia spectrum disorder [ 13 ], and the prevalence of suicide [ 14 ], anxiety [ 13 , 15 ], depression [ 13 ], bipolar disorder [ 16 ] and life satisfaction [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Long-term exposure to PM2.5 air pollution and mental health: a retrospective cohort study in Ireland

Lyons,

Nolan,

Carthy

et al. 2024

Environ Health

View full text Add to dashboard Cite

Background Mental illness is the leading cause of years lived with disability, and the global disease burden of mental ill-health has increased substantially in the last number of decades. There is now increasing evidence that environmental conditions, and in particular poor air quality, may be associated with mental health and wellbeing. Methods This cross-sectional analysis uses data on mental health and wellbeing from The Irish Longitudinal Study on Ageing (TILDA), a nationally representative survey of the population aged 50+ in Ireland. Annual average PM2.5 concentrations at respondents’ residential addresses over the period 1998–2014 are used to measure long-term exposure to ambient PM2.5. Results We find evidence of associations between long-term exposure to ambient PM2.5 and depression and anxiety. The measured associations are strong, and are comparable with effect sizes for variables such as sex. Effects are also evident at relatively low concentrations by international standards. However, we find no evidence of associations between long-term ambient particulate pollution and other indicators of mental health and well-being such as stress, worry and quality of life. Conclusions The measured associations are strong, particularly considering the relatively low PM2.5 concentrations prevailing in Ireland compared to many other countries. While it is estimated that over 90 per cent of the world’s population lives in areas with annual mean PM2.5 concentrations greater than 10 μg/m3, these results contribute to the increasing evidence that suggests that harmful effects can be detected at even low levels of air pollution.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-term exposure to PM2.5 air pollution and mental health: a retrospective cohort study in Ireland

Lyons,

Nolan,

Carthy

et al. 2024

Environ Health

View full text Add to dashboard Cite

show abstract

“…Based on current scientific evidence (Ventriglio et al, 2021 ; Cuijpers et al, 2023 ), cumulative exposure to pollution can be measured with environmental devices essential for monitoring air quality and pollutant concentrations in the home environment. Also the prolonged exposure to air pollution may adversely affect mental health, underscoring its associations with MDD (Nobile et al, 2023 ). Comparing short-term and long-term exposure to environmental pollutants with the development of MDD can provide interesting data from a prognostic perspective regarding integrating technology into mental health prevention and treatment processes.…”

Section: Introductionmentioning

confidence: 99%

Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder

Monaco,

Vignapiano,

Piacente

et al. 2024

Front. Artif. Intell.

View full text Add to dashboard Cite

BackgroundMajor Depressive Disorder (MDD) is a prevalent mental health condition characterized by persistent low mood, cognitive and physical symptoms, anhedonia (loss of interest in activities), and suicidal ideation. The World Health Organization (WHO) predicts depression will become the leading cause of disability by 2030. While biological markers remain essential for understanding MDD's pathophysiology, recent advancements in social signal processing and environmental monitoring hold promise. Wearable technologies, including smartwatches and air purifiers with environmental sensors, can generate valuable digital biomarkers for depression assessment in real-world settings. Integrating these with existing physical, psychopathological, and other indices (autoimmune, inflammatory, neuroradiological) has the potential to improve MDD recurrence prevention strategies.MethodsThis prospective, randomized, interventional, and non-pharmacological integrated study aims to evaluate digital and environmental biomarkers in adolescents and young adults diagnosed with MDD who are currently taking medication. The study implements a sensor-integrated platform built around an open-source “Pothos” air purifier system. This platform is designed for scalability and integration with third-party devices. It accomplishes this through software interfaces, a dedicated app, sensor signal pre-processing, and an embedded deep learning AI system. The study will enroll two experimental groups (10 adolescents and 30 young adults each). Within each group, participants will be randomly allocated to Group A or Group B. Only Group B will receive the technological equipment (Pothos system and smartwatch) for collecting digital biomarkers. Blood and saliva samples will be collected at baseline (T0) and endpoint (T1) to assess inflammatory markers and cortisol levels.ResultsFollowing initial age-based stratification, the sample will undergo detailed classification at the 6-month follow-up based on remission status. Digital and environmental biomarker data will be analyzed to explore intricate relationships between these markers, depression symptoms, disease progression, and early signs of illness.ConclusionThis study seeks to validate an AI tool for enhancing early MDD clinical management, implement an AI solution for continuous data processing, and establish an AI infrastructure for managing healthcare Big Data. Integrating innovative psychophysical assessment tools into clinical practice holds significant promise for improving diagnostic accuracy and developing more specific digital devices for comprehensive mental health evaluation.

show abstract

“…A recent longitudinal study with over 1.7 million participants has demonstrated statistically signi cant associations with increased levels of PM2.5 and risk of schizophrenia, anxiety and depressive disorders 11 . While these major psychotic and mood disorders have been explored in observational studies, observational studies on PM and its effects on anorexia nervosa (AN) are limited.…”

Section: Introductionmentioning

confidence: 99%

Exposure to Particulate Matter and Risk of Anorexia Nervosa: A Mendelian Randomization Study

Tsitsi,

Marouli

2024

Preprint

View full text Add to dashboard Cite

Background Exposure to particulate matter is linked to mental health outcomes through observational and Mendelian randomization studies. In this study, the causal association between particulate matter 2.5 (PM2.5) and particulate matter 10 (PM10) exposure and anorexia nervosa (AN) was explored. Methods Two-Sample Mendelian randomization analysis was performed using genetic instrumental variables for PM2.5 and PM10 as exposures to test for a potential causal association with AN using the inverse variance weighted method (IVW), with additional methods including the weighted median and MR-Egger. Association data for PM2.5 included 455 314 participants and 423,796 participants for PM10. Summary data for AN derived from the Psychiatric Genomics Consortium (PGC) meta-analysis genome-wide association study comprising 16 992 cases and 55 525 controls. Sensitivity analyses for pleiotropy and heterogeneity were conducted using MR-Egger intercepts, Cochrane’s Q, MR- Pleiotropy RESidual Sum and Outlier (MR-PRESSO) and least absolute shrinkage and selection operator (LASSO) regression. Results Genetically predicted increase in PM10 (one standard deviation) exposure was associated with an increased risk of anorexia nervosa at Bonferroni significance (p = 0.003, OR = 2.5, 95% CI = 1.38–4.54) using the IVW method. Sensitivity analysis detected no pleiotropy or heterogeneity. There was no suggestion of a causal role for PM2.5 and AN (p = 0.57). Conclusion We provide for the first-time evidence for a potential role of genetically predicted exposure to PM10 in the development of AN, with no evidence of a causal effect of PM2.5 on AN. More robust epidemiological and biological studies are needed to understand the mechanism of this effect and neurobiological basis for disease.

show abstract

Long-term exposure to air pollution and incidence of mental disorders. A large longitudinal cohort study of adults within an urban area

Cited by 9 publications

References 42 publications

Long-term exposure to PM2.5 air pollution and mental health: a retrospective cohort study in Ireland

Long-term exposure to PM2.5 air pollution and mental health: a retrospective cohort study in Ireland

Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder

Exposure to Particulate Matter and Risk of Anorexia Nervosa: A Mendelian Randomization Study

Contact Info

Product

Resources

About