Green space, air pollution, traffic noise and mental wellbeing throughout adolescence: Findings from the PIAMA study

被引:42
作者
Bloemsma, Lizan D. [1 ,2 ]
Wijga, Alet H. [1 ]
Klompmaker, Jochem O. [1 ,2 ]
Hoek, Gerard [2 ]
Janssen, Nicole A. H. [1 ]
Lebret, Erik [1 ,2 ]
Brunekreef, Bert [2 ,3 ]
Gehring, Ulrike [2 ]
机构
[1] Natl Inst Publ Hlth & Environm RIVM, POB 1, NL-3720 BA Bilthoven, Netherlands
[2] Univ Utrecht, Inst Risk Assessment Sci IRAS, Utrecht, Netherlands
[3] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
关键词
Adolescents; MHI-5; NDVI; Environmental exposures; USE REGRESSION-MODELS; HEALTH; NO2; ASSOCIATIONS; PM2.5; PREVENTION; EXPOSURE; CHILDREN; EUROPE; ASTHMA;
D O I
10.1016/j.envint.2022.107197
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Green space, air pollution and traffic noise exposure may be associated with mental health in adolescents. We assessed the associations of long-term exposure to residential green space, ambient air pollution and traffic noise with mental wellbeing from age 11 to 20 years. Methods: We included 3059 participants of the Dutch PIAMA birth cohort who completed the five-item Mental Health Inventory (MHI-5) at ages 11, 14, 17 and/or 20 years. We estimated exposure to green space (the average Normalized Difference Vegetation Index (NDVI) and percentages of green space in circular buffers of 300 m, 1000 m and 3000 m), ambient air pollution (particulate matter (PM10 and PM2.5), nitrogen dioxide, PM2.5 absorbance and the oxidative potential of PM2.5) and road traffic and railway noise (L-den) at the adolescents' home addresses at the times of completing the MHI-5. Associations with poor mental wellbeing (MHI-5 score <= 60) were assessed by generalized linear mixed models with a logit link, adjusting for covariates. Results: The odds of poor mental wellbeing at age 11 to 20 years decreased with increasing exposure to green space in a 3000 m buffer (adjusted odds ratio (OR) 0.78 [95% CI 0.68-0.88] per IQR increase in the average NDVI; adjusted OR 0.77 [95% CI 0.67-0.88] per IQR increase in the total percentage of green space). These associations persisted after adjustment for air pollution and road traffic noise. Relationships between mental wellbeing and green space in buffers of 300 m and 1000 m were less consistent. Higher air pollution exposure was associated with higher odds of poor mental wellbeing, but these associations were strongly attenuated after adjustment for green space in a buffer of 3000 m, traffic noise and degree of urbanization. Traffic noise was not related to mental wellbeing throughout adolescence. Conclusions: Residential exposure to green space may be associated with a better mental wellbeing in adolescents.
引用
收藏
页数:10
相关论文
共 51 条
  • [1] [Anonymous], 2010, STAMINA MODEL DESCRI
  • [2] Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe - The ESCAPE project
    Beelen, Rob
    Hoek, Gerard
    Vienneau, Danielle
    Eeftens, Marloes
    Dimakopoulou, Konstantina
    Pedeli, Xanthi
    Tsai, Ming-Yi
    Kunzli, Nino
    Schikowski, Tamara
    Marcon, Alessandro
    Eriksen, Kirsten T.
    Raaschou-Nielsen, Ole
    Stephanou, Euripides
    Patelarou, Evridiki
    Lanki, Timo
    Yli-Tuomi, Tarja
    Declercq, Christophe
    Falq, Gregoire
    Stempfelet, Morgane
    Birk, Matthias
    Cyrys, Josef
    von Klot, Stephanie
    Nador, Gizella
    Varro, Mihaly Janos
    Dedele, Audrius
    Grazuleviciene, Regina
    Moelter, Anna
    Lindley, Sarah
    Madsen, Christian
    Cesaroni, Giulia
    Ranzi, Andrea
    Badaloni, Chiara
    Hoffmann, Barbara
    Nonnemacher, Michael
    Kraemer, Ursula
    Kuhlbusch, Thomas
    Cirach, Marta
    de Nazelle, Audrey
    Nieuwenhuijsen, Mark
    Bellander, Tom
    Korek, Michal
    Olsson, David
    Stromgren, Magnus
    Dons, Evi
    Jerrett, Michael
    Fischer, Paul
    Wang, Meng
    Brunekreef, Bert
    de Hoogh, Kees
    [J]. ATMOSPHERIC ENVIRONMENT, 2013, 72 : 10 - 23
  • [3] PERFORMANCE OF A 5-ITEM MENTAL-HEALTH SCREENING-TEST
    BERWICK, DM
    MURPHY, JM
    GOLDMAN, PA
    WARE, JE
    BARSKY, AJ
    WEINSTEIN, MC
    [J]. MEDICAL CARE, 1991, 29 (02) : 169 - 176
  • [4] Green space, air pollution, traffic noise and saliva cortisol in children The PIAMA study
    Bloemsma, Lizan D.
    Wijga, Alet H.
    Klompmaker, Jochem O.
    Hoek, Gerard
    Janssen, Nicole A. H.
    Oldenwening, Marieke
    Koppelman, Gerard H.
    Lebret, Erik
    Brunekreef, Bert
    Gehring, Ulrike
    [J]. ENVIRONMENTAL EPIDEMIOLOGY, 2021, 5 (02) : E141
  • [5] Green space, air pollution, traffic noise and cardiometabolic health in adolescents: The PIAMA birth cohort
    Bloemsma, Lizan D.
    Gehring, Ulrike
    Klompmaker, Jochem O.
    Hoek, Gerard
    Janssen, Nicole A. H.
    Lebret, Erik
    Brunekreef, Bert
    Wijga, Alet H.
    [J]. ENVIRONMENT INTERNATIONAL, 2019, 131
  • [6] The associations of air pollution, traffic noise and green space with overweight throughout childhood: The PIAMA birth cohort study
    Bloemsma, Lizan D.
    Wijga, Alet H.
    Klompmaker, Jochem O.
    Janssen, Nicole A. H.
    Smit, Henriette A.
    Koppelman, Gerard H.
    Brunekreef, Bert
    Lebret, Erik
    Hoek, Gerard
    Gehring, Ulrike
    [J]. ENVIRONMENTAL RESEARCH, 2019, 169 : 348 - 356
  • [7] Bloemsma LD, 2018, ENVIRON HEALTH PERSP, V126, DOI [10.1289/EHP2429, 10.1289/ehp2429]
  • [8] The Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort study: Design and first results
    Brunekreef, B
    Smit, J
    de Jongste, J
    Neijens, H
    Gerritsen, J
    Postma, D
    Aalberse, R
    Koopman, L
    Kerkhof, M
    Wijga, A
    van Strien, R
    [J]. PEDIATRIC ALLERGY AND IMMUNOLOGY, 2002, 13 : 55 - 60
  • [9] Is there a link between air pollution and mental disorders?
    Buoli, Massimiliano
    Grassi, Silvia
    Caldiroli, Alice
    Carnevali, Greta Silvia
    Mucci, Francesco
    Iodice, Simona
    Cantone, Laura
    Pergoli, Laura
    Bollati, Valentina
    [J]. ENVIRONMENT INTERNATIONAL, 2018, 118 : 154 - 168
  • [10] Centraal Bureau voor de Statistiek, 2020, DAT SET