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Borroni E, Buoli M, Nosari G, Ceresa A, Fedrizzi L, Antonangeli LM, Monti P, Bollati V, Pesatori AC, Carugno M. Impact of air pollution exposure on the severity of major depressive disorder: Results from the DeprAir study. Eur Psychiatry 2024; 67:e61. [PMID: 39328146 PMCID: PMC11457114 DOI: 10.1192/j.eurpsy.2024.1767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 05/16/2024] [Accepted: 05/21/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is one of the most prevalent medical conditions worldwide. Different factors were found to play a role in its etiology, including environmental ones (e.g., air pollution). The aim of this study was to evaluate the association between air pollution exposure and MDD severity. METHODS Four hundred sixteen MDD subjects were recruited. Severity of MDD and functioning were evaluated through five rating scales: Montgomery-Asberg Depression Rating Scale (MADRS), Hamilton Depression Rating Scale (HAMD), Clinical Global Impression (CGI), Global Assessment of Functioning (GAF), and Sheehan Disability Scale (SDS). Daily mean estimates of particulate matter with diameter ≤10 (PM10) and 2.5 μm (PM2.5), nitrogen dioxide (NO2), and apparent temperature (AT) were estimated based on subjects' residential addresses. Daily estimates of the 2 weeks preceding recruitment were averaged to obtain cumulative exposure. Multivariate linear and ordinal regression models were applied to assess the associations between air pollutants and MDD severity, overall and stratifying by hypersusceptibility and AT. RESULTS Two-thirds of subjects were women and one-third had a family history of depression. Most women had depression with symptoms of anxiety, while men had predominantly melancholic depression. NO2 exposure was associated with worsening of MDD severity (HAMD: β = 1.94, 95% confidence interval [CI], [0.41-3.47]; GAF: β = -1.93, 95% CI [-3.89 to 0.02]), especially when temperatures were low or among hypersusceptible subjects. PM exposure showed an association with MDD severity only in these subgroups. CONCLUSIONS Exposure to air pollution worsens MDD severity, with hypersusceptibility and lower temperatures being exacerbating factors.
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Affiliation(s)
- E. Borroni
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - M. Buoli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - G. Nosari
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - A. Ceresa
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - L. Fedrizzi
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - L. M. Antonangeli
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - P. Monti
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - V. Bollati
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - A. C. Pesatori
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - M. Carugno
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
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Borroni E, Pesatori AC, Nosari G, Monti P, Ceresa A, Fedrizzi L, Bollati V, Buoli M, Carugno M. Understanding the Interplay between Air Pollution, Biological Variables, and Major Depressive Disorder: Rationale and Study Protocol of the DeprAir Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20065196. [PMID: 36982103 PMCID: PMC10049152 DOI: 10.3390/ijerph20065196] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 05/27/2023]
Abstract
Major depressive disorder (MDD) is a serious and disabling condition, whose etiological mechanisms are not fully understood. The aim of the DeprAir study is to verify the hypothesis that air pollution exposure may exacerbate neuroinflammation with consequent alterations in DNA methylation of genes involved in circadian rhythms and hormonal dysregulation, resulting in the worsening of depressive symptoms. The study population consists of 420 depressed patients accessing the psychiatry unit of the Policlinico Hospital (Milan, Italy), from September 2020 to December 2022. Data collection is still ongoing for about 100 subjects. For each participant demographic and lifestyle information, depression history and characteristics, as well as blood samples, were collected. MDD severity was assessed through five rating scales commonly used in clinical practice to assess the severity of affective symptoms. Exposure to particulate and gaseous air pollutants is assigned to each subject using both air pollution monitoring station measurements and estimates derived from a chemical transport model. DeprAir is the first study investigating in a comprehensive picture whether air pollution exposure could be an important modifiable environmental factor associated with MDD severity and which biological mechanisms mediate the negative effect of air pollution on mental health. Its results will represent an opportunity for preventive strategies, thus entailing a tremendous impact on public health.
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Affiliation(s)
- Elisa Borroni
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Via San Barnaba 8, 20122 Milan, Italy; (E.B.); (A.C.P.); (P.M.); (V.B.)
| | - Angela Cecilia Pesatori
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Via San Barnaba 8, 20122 Milan, Italy; (E.B.); (A.C.P.); (P.M.); (V.B.)
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via san Barnaba 8, 20122 Milan, Italy;
| | - Guido Nosari
- Department of Pathophysiology and Transplantation, University of Milan, Via Francesco Sforza 35, 20122 Milan, Italy; (G.N.); (A.C.); (M.B.)
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122 Milan, Italy
| | - Paola Monti
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Via San Barnaba 8, 20122 Milan, Italy; (E.B.); (A.C.P.); (P.M.); (V.B.)
| | - Alessandro Ceresa
- Department of Pathophysiology and Transplantation, University of Milan, Via Francesco Sforza 35, 20122 Milan, Italy; (G.N.); (A.C.); (M.B.)
| | - Luca Fedrizzi
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via san Barnaba 8, 20122 Milan, Italy;
| | - Valentina Bollati
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Via San Barnaba 8, 20122 Milan, Italy; (E.B.); (A.C.P.); (P.M.); (V.B.)
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via san Barnaba 8, 20122 Milan, Italy;
| | - Massimiliano Buoli
- Department of Pathophysiology and Transplantation, University of Milan, Via Francesco Sforza 35, 20122 Milan, Italy; (G.N.); (A.C.); (M.B.)
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122 Milan, Italy
| | - Michele Carugno
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Via San Barnaba 8, 20122 Milan, Italy; (E.B.); (A.C.P.); (P.M.); (V.B.)
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via san Barnaba 8, 20122 Milan, Italy;
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Fico G, Oliva V, De Prisco M, Giménez-Palomo A, Sagué-Vilavella M, Gomes-da-Costa S, Garriga M, Solé E, Valentí M, Fanelli G, Serretti A, Fornaro M, Carvalho AF, Vieta E, Murru A. The U-shaped relationship between parental age and the risk of bipolar disorder in the offspring: A systematic review and meta-analysis. Eur Neuropsychopharmacol 2022; 60:55-75. [PMID: 35635997 DOI: 10.1016/j.euroneuro.2022.05.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 05/02/2022] [Accepted: 05/10/2022] [Indexed: 01/06/2023]
Abstract
Parenthood age may affect the risk for the development of different psychiatric disorders in the offspring, including bipolar disorder (BD). The present systematic review and meta-analysis aimed to appraise the relationship between paternal age and risk for BD and to explore the eventual relationship between paternal age and age at onset of BD. We searched the MEDLINE, Scopus, Embase, PsycINFO online databases for original studies from inception, up to December 2021. Random-effects meta-analyses were conducted. Sixteen studies participated in the qualitative synthesis, of which k = 14 fetched quantitative data encompassing a total of 13,424,760 participants and 217,089 individuals with BD. Both fathers [adjusted for the age of other parent and socioeconomic status odd ratio - OR = 1.29(95%C.I. = 1.13-1.48)] and mothers aged ≤ 20 years [(OR = 1.23(95%C.I. = 1.14-1.33)] had consistently increased odds of BD diagnosis in their offspring compared to parents aged 25-29 years. Fathers aged ≥ 45 years [adjusted OR = 1.29 (95%C.I. = 1.15-1.46)] and mothers aged 35-39 years [OR = 1.10(95%C.I. = 1.01-1.19)] and 40 years or older [OR = 1.2(95% C.I. = 1.02-1.40)] likewise had inflated odds of BD diagnosis in their offspring compared to parents aged 25-29 years. Early and delayed parenthood are associated with an increased risk of BD in the offspring. Mechanisms underlying this association are largely unknown and may involve a complex interplay between psychosocial, genetic and biological factors, and with different impacts according to sex and age range. Evidence on the association between parental age and illness onset is still tentative but it points towards a possible specific effect of advanced paternal age on early BD-onset.
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Affiliation(s)
- Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain; Department of Neuroscience, Section of Psychiatry, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Anna Giménez-Palomo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Maria Sagué-Vilavella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Susana Gomes-da-Costa
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Eva Solé
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Marc Valentí
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Michele Fornaro
- Department of Neuroscience, Section of Psychiatry, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Andre F Carvalho
- IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Vic., Australia 6 Perinatal Health Unit, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Deakin University, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain.
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, 170 Villarroel st, 12-0, Barcelona, Catalonia 08036, Spain
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