In a study recently published in JAMA Network Open , researchers looked at the impact of prenatal and early childhood exposure to noise and air pollution on mental health conditions, specifically depression, anxiety, and psychotic experiences, in individuals ages 13 to 24.
The findings reveal that increased exposure to fine particulate matter (PM2.5) during pregnancy and childhood is associated with higher rates of depression and psychotic experiences.
Furthermore, higher levels of noise pollution during childhood and adolescence were also associated with higher anxiety levels. This study highlights the significant impact that exposure to pollution during childhood has on young people’s mental health.
study: Childhood exposure to air and noise pollution and mental health from adolescence to young adulthoodImage credit: Mihail Fedorenko/Shutterstock.com
background
Existing research highlights that childhood, adolescence and early adulthood are critical periods for the development of mental illness, with around two-thirds of affected people becoming unwell by the age of 25.
Previous studies have suggested links between air pollution and psychiatric disorders, including mood disorders, affective disorders, and psychosis, through mechanisms such as neuroinflammation and oxidative stress.
Nonetheless, significant research gaps remain, particularly regarding the impact of early childhood exposures, including prenatal life, on mental health.
Furthermore, few studies have investigated the relationship between air pollution and young people’s mental health or the role of noise pollution.
About the Research
By using high-resolution pollution data linked to a longitudinal cohort focusing on depression, anxiety and psychotic experiences, this study aims to address existing research gaps and improve understanding of how early life exposure to pollution affects mental health in adolescence and early adulthood.
This longitudinal study was conducted among pregnant women in and around Bristol, UK, who were due to give birth during a 16-month period between April 1991 and December 1992, and found that 13,988 infants were surviving at 1 year of age. At 7 years of age, the sample increased to 14,901 infants.
The study used the ELAPSE model and UK government noise maps to collect high-resolution data on air pollutants, namely nitrogen dioxide (NO2) and PM2.5.
Residential-related noise pollution was also collected from conception until age 12. Participants’ mental health was assessed at ages 13, 18 and 24 using interviews and diagnostic tools for depression, anxiety and psychotic experiences.
Covariates included individual- and family-level factors such as ethnicity, family psychiatric history, maternal social class, and education, as well as neighborhood-level factors such as population density and green space.
Statistical analysis included logistic regression models adjusting for potential confounders and using multiple imputation for missing data. Adjusted odds ratios (AORs) were calculated.
Sensitivity analyses considered the effects of co-pollutants, residential stability, and complete data subsets to ensure the robustness of the results.
Investigation result
The study sample consisted of 9,065 participants, with a mean age of 24.5 years at follow-up, 51.4% female, and 95.8% white.
Mental health data showed that 19.5% of participants had experienced a psychotic episode, 11.4% reported suffering from depression, and 9.7% reported anxiety.
Higher exposure to PM2.5 during pregnancy and childhood tended to increase the odds of experiencing psychotic illness (AOR, 1.11 and 1.09, respectively). Exposure to PM2.5 during pregnancy was also associated with higher rates of depression (AOR, 1.10).
Conversely, exposure to noise pollution during childhood and adolescence was associated with higher anxiety (AORs, 1.19 and 1.22, respectively).
After adjusting for covariates, no significant associations were found between NO2 exposure and mental health outcomes.
The results highlight the important impact of early life exposure to pollution on mental health and suggest that interventions aimed at reducing noise and air pollution could improve mental health outcomes among young people. Sensitivity analyses supported the robustness of these findings.
Conclusion
This longitudinal birth cohort study, spanning approximately 25 years, showed that exposure to PM2.5 during pregnancy and childhood was associated with increased psychotic experiences and depression.
Furthermore, noise pollution during childhood and adolescence was associated with increased anxiety, and these associations remained significant after controlling for multiple potential confounders, highlighting the importance of early life environmental exposures on mental health outcomes.
Compared to previous studies, this study highlights the particularly detrimental effects of prenatal and early childhood air pollution on mental health, in contrast to findings regarding adult air pollution.
The study is also consistent with existing evidence on the impact of noise pollution on anxiety and highlights the role of stress and sleep disorders.
Strengths of this study include long-term follow-up and comprehensive covariate adjustment. However, limitations are acknowledged, including the observational nature of the data, potential residual confounding, and measurement error in contaminated data. Generalizability of the study may be limited by the relatively affluent and nondiverse cohort.
Future studies should focus on more precise pollution measurements, including individual exposure estimates, and consider quasi-experimental designs to more precisely establish causal relationships. Furthermore, life course models and investigating sensitive periods and cumulative effects in larger datasets may further elucidate the pathways linking pollution and mental health.
Journal References:
-
Newbury, JB, Heron, J., Kirkbride, JB, Fisher, HL, Bakolis, I., Boyd, A., Thomas, R., Zammit, S. (2024) Early childhood exposure to air and noise pollution and mental health from adolescence to young adulthood. JAMA Network Open. Doi:10.1001/jamanetworkopen.2024.12169.https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2819070
