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Yuchi W, Brauer M, Czekajlo A, Davies HW, Davis Z, Guhn M, Jarvis I, Jerrett M, Nesbitt L, Oberlander TF, Sbihi H, Su J, van den Bosch M. Neighborhood environmental exposures and incidence of attention deficit/hyperactivity disorder: A population-based cohort study. ENVIRONMENT INTERNATIONAL 2022; 161:107120. [PMID: 35144157 DOI: 10.1016/j.envint.2022.107120] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 01/23/2022] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Emerging studies have associated low greenspace and high air pollution exposure with risk of child attention deficit/hyperactivity disorder (ADHD). Population-based studies are limited, however, and joint effects are rarely evaluated. We investigated associations of ADHD incidence with greenspace, air pollution, and noise in a population-based birth cohort. METHODS We assembled a cohort from administrative data of births from 2000 to 2001 (N ∼ 37,000) in Metro Vancouver, Canada. ADHD was identified by hospital records, physician visits, and prescriptions. Cox proportional hazards models were applied to assess associations between environmental exposures and ADHD incidence adjusting for available covariates. Greenspace was estimated using vegetation percentage derived from linear spectral unmixing of Landsat imagery. Fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were estimated using land use regression models; noise was estimated using a deterministic model. Exposure period was from birth until the age of three. Joint effects of greenspace and PM2.5 were analysed in two-exposure models and by categorizing values into quintiles. RESULTS During seven-year follow-up, 1217 ADHD cases were diagnosed. Greenspace was associated with lower incidence of ADHD (hazard ratio, HR: 0.90 [0.81-0.99] per interquartile range increment), while PM2.5 was associated with increased incidence (HR: 1.11 [1.06-1.17] per interquartile range increment). NO2 (HR: 1.01 [0.96, 1.07]) and noise (HR: 1.00 [0.95, 1.05]) were not associated with ADHD. There was a 50% decrease in the HR for ADHD in locations with the lowest PM2.5 and highest greenspace exposure, compared to a 62% increase in HR in locations with the highest PM2.5 and lowest greenspace exposure. Effects of PM2.5 were attenuated by greenspace in two-exposure models. CONCLUSIONS We found evidence suggesting environmental inequalities where children living in greener neighborhoods with low air pollution had substantially lower risk of ADHD compared to those with higher air pollution and lower greenspace exposure.
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Affiliation(s)
- Weiran Yuchi
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada
| | - Michael Brauer
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada
| | - Agatha Czekajlo
- Department of Forest Resource Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, Canada
| | - Hugh W Davies
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada
| | - Zoë Davis
- Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, Canada
| | - Martin Guhn
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada
| | - Ingrid Jarvis
- Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, Canada
| | - Michael Jerrett
- Fielding School of Public Health, University of California at Los Angeles, 650 Charles E. Young Drive South, Los Angeles, CA, the United States
| | - Lorien Nesbitt
- Department of Forest Resource Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, Canada
| | - Tim F Oberlander
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada; Department of Pediatrics, The University of British Columbia, 4480 Oak St. Vancouver, Canada
| | - Hind Sbihi
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada; BC Centre for Disease Control, Vancouver, Canada
| | - Jason Su
- School of Public Health, University of California at Berkeley, 2121 Berkeley Way West, Berkeley, CA, the United States
| | - Matilda van den Bosch
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia, Canada; Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, Canada; ISGlobal, Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra, Plaça de la Mercè, 10-12, 08002 Barcelona, Spain; Centro de Investigación Biomédica en Red Instituto de Salud Carlos III, Calle de Melchor Fernández Almagro, 3, 28029, Madrid, Spain.
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Hsu C, Tseng P, Tu Y, Lin P, Hung C, Liang C, Hsieh Y, Yang Y, Wang L, Kao H. Month of birth and mental disorders: A population-based study and validation using global meta-analysis. Acta Psychiatr Scand 2021; 144:153-167. [PMID: 33930177 PMCID: PMC8360113 DOI: 10.1111/acps.13313] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 04/27/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Month of birth (MOB) is associated with specified mental disorders (MDs). However, whether these relationships extend to all MDs remains unclear. We investigate the association using a population-based cohort study and a meta-analysis. METHODS First, we examined patients with 34 DSM-5-classified MDs in the Taiwan national database. We estimated the relative risk ratios (RR) of each illness in each MOB relative to that in the general population and assessed the periodicity, with six further sensitivity analyses. Second, we searched PubMed, Embase, and Cochrane for related articles through 31 December 2020. We used a random-effects model, pooled RRs with 95% confidence intervals of each MOB from the identified studies, and transformed them from MOB to relative age in a year or season. RESULTS The cohort included 1,951,777 patients. Except for posttraumatic stress disorder, dissociative disorders, feeding/eating disorders, gender dysphoria, and paraphilic disorders, the other MDs had significant MOB periodicity. The meta-analysis included 51 studies investigating 10 MDs. The youngest age at the start of school owing to MOB was associated with the highest RRs of intellectual disability (1.13), autism (1.05), attention-deficit/hyperactivity disorder (1.13). Winter births had significant risks of schizophrenia (1.04), bipolar I disorder (1.02), and major depressive disorder (1.01), and autumn births had a significant risk of alcohol use disorder (1.02). No significant associations between season of birth and Alzheimer's disease, or eating disorders were found. CONCLUSIONS MOB is related to the risks of certain MDs. This finding provides a reference for future research on the etiology of MDs.
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Affiliation(s)
- Chih‐Wei Hsu
- Department of PsychiatryKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan,Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan
| | - Ping‐Tao Tseng
- Prospect Clinic for Otorhinolaryngology & NeurologyKaohsiungTaiwan,Institute of Biomedical SciencesNational Sun Yat‐sen UniversityKaohsiungTaiwan,Department of PsychologyCollege of Medical and Health Science, Asia UniversityTaichungTaiwan
| | - Yu‐Kang Tu
- Institute of Epidemiology & Preventive MedicineCollege of Public HealthNational Taiwan UniversityTaipeiTaiwan,Department of DentistryNational Taiwan University HospitalTaipeiTaiwan
| | - Pao‐Yen Lin
- Department of PsychiatryKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan,Institute for Translational Research in Biomedical SciencesKaohsiung Chang Gung Memorial HospitalKaohsiungChina
| | - Chi‐Fa Hung
- Department of PsychiatryKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Chih‐Sung Liang
- Department of Psychiatry, Beitou BranchTri‐Service General HospitalSchool of MedicineNational Defense Medical CenterTaipeiTaiwan,Graduate Institute of Medical SciencesNational Defense Medical CenterTaipeiTaiwan
| | - Yun‐Yu Hsieh
- Department of PsychiatryKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan
| | - Yao‐Hsu Yang
- Health Information and Epidemiology LaboratoryChang Gung Memorial HospitalChiayi CountyTaiwan,Department of Traditional Chinese MedicineChang Gung Memorial HospitalChiayi CountyTaiwan,School of Traditional Chinese MedicineCollege of MedicineChang Gung UniversityTaoyuanTaiwan
| | - Liang‐Jen Wang
- Department of Child and Adolescent PsychiatryKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiungTaiwan,Department of Chinese MedicineCollege of MedicineChang Gung UniversityTaoyuanTaiwan
| | - Hung‐Yu Kao
- Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan
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Wang C, Zhang Y. Season of birth and schizophrenia: Evidence from China. Psychiatry Res 2017; 253:189-196. [PMID: 28390294 DOI: 10.1016/j.psychres.2017.03.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 03/17/2017] [Accepted: 03/18/2017] [Indexed: 11/26/2022]
Abstract
Controversies exist whether season of birth is associated with schizophrenia development later in life, and evidence has mainly come from studies done in developed countries. This study examines the association between season of birth and risk for schizophrenia in China, with special attention to geographical region, urbanity, and gender. Using data from China's Second National Sampling Survey on Disability, a large-scale, nationally representative sample (N=2,052,694), this study employs discrete-time hazard models to compare the risk for schizophrenia development for people born in different seasons, and conducts subsample analyses by geographical region, urbanity, and gender. People born in the spring have the highest risk when compared to people born in the winter, summer or autumn. Furthermore, the relatively higher risk for people born in the spring is greater in the southern half of the country, in rural areas, and for women. The findings are consistent with results from a robustness check done among people who were conceived and born from 1955 to 1965, periods before, during, and after the 1959-1961 Chinese Famine. This study supports the presence of an association between season of birth and risk for schizophrenia development and of heterogeneity by geographical region, urbanity, and gender.
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Affiliation(s)
- Cuntong Wang
- School of Social Development, Central University of Finance and Economics, Beijing, China.
| | - Yudong Zhang
- School of Social Service Administration, University of Chicago, Chicago, IL, USA
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