This is a preprint.
Air pollution and emotional behavior in adolescents across the U.S
- PMID: 37162908
- PMCID: PMC10168412
- DOI: 10.1101/2023.04.19.23288834
Air pollution and emotional behavior in adolescents across the U.S
Update in
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Air pollution and age-dependent changes in emotional behavior across early adolescence in the U.S.Environ Res. 2024 Jan 1;240(Pt 1):117390. doi: 10.1016/j.envres.2023.117390. Epub 2023 Oct 21. Environ Res. 2024. PMID: 37866541 Free PMC article.
Abstract
Recent studies have linked air pollution to increased risk for behavioral problems during development, albeit with inconsistent findings. Additional longitudinal studies are needed that consider how emotional behaviors may be affected when exposure coincides with the transition to adolescence - a vulnerable time for developing mental health difficulties. This study examines how annual average PM2.5 and NO2 exposure at ages 9-10 years relates to internalizing and externalizing behaviors over a 2-year follow-up period in a large, nationwide U.S. sample of participants from the Adolescent Brain Cognitive Development (ABCD) Study®. Air pollution exposure was estimated based on the residential address of each participant using an ensemble-based modeling approach. Caregivers answered questions from the Child Behavior Checklist (CBCL) at baseline and annually for two follow-up sessions for a total of 3 waves of data; from the CBCL we obtained scores on internalizing and externalizing problems plus 5 syndrome scales (anxious/depressed, withdrawn/depressed, rule-breaking behavior, aggressive behavior, and attention problems). Zero-inflated negative binomial models were used to examine both the main effect of age as well as the interaction of age with each pollutant on behavior while adjusting for various socioeconomic and demographic characteristics. Overall, the pollution effects moderated the main effects of age with higher levels of PM2.5 and NO2 leading to an even greater likelihood of having no behavioral problems (i.e., score of zero) with age over time, as well as fewer problems when problems are present as the child ages. Albeit this was on the order equal to or less than a 1-point change. Thus, one year of annual exposure at 9-10 years is linked with very small change in emotional behaviors in early adolescence, which may be of little clinical relevance.
Keywords: adolescence; air pollution; externalizing; internalizing; neurodevelopment.
Conflict of interest statement
Competing Interests The authors declare no competing interests.
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References
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- Achenbach T. M. (2009). The Achenbach system of empirically based assessment (ASEBA): Development, findings, theory, and applications. University of Vermont, Research Center for Children, Youth, & Families.
-
- Achenbach T. M., Howell C. T., Quay H. C., Conners C. K., & Bates J. E. (1991). National Survey of Problems and Competencies among Four- to Sixteen-Year-Olds: Parents’ Reports for Normative and Clinical Samples. Monographs of the Society for Research in Child Development, 56(3), i–130. 10.2307/1166156 - DOI - PubMed
-
- Achenbach T. M., & Rescorla L. A. (2001). Manual for the ASEBA School-Age Forms and Profiles. University of Vermont Research Center for Children, Youth, & Families.
-
- Barch D. M., Albaugh M. D., Baskin-Sommers A., Bryant B. E., Clark D. B., Dick A. S., Feczko E., Foxe J. J., Gee D. G., Giedd J., Glantz M. D., Hudziak J. J., Karcher N. R., LeBlanc K., Maddox M., McGlade E. C., Mulford C., Nagel B. J., Neigh G., … Xie L. (2021). Demographic and mental health assessments in the adolescent brain and cognitive development study: Updates and age-related trajectories. Developmental Cognitive Neuroscience, 52, 101031. 10.1016/j.dcn.2021.101031 - DOI - PMC - PubMed
-
- Bennett D. A. (2001). How can I deal with missing data in my study? Australian and New Zealand Journal of Public Health, 25(5), 464–469. - PubMed
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