Environmental Risk Factors and Psychotic-like Experiences in Children Aged 9-10

被引:46
作者
Karcher, Nicole R. [1 ]
Schiffman, Jason [2 ,3 ]
Barch, Deanna M. [4 ]
机构
[1] Washington Univ, Sch Med, St Louis, MO USA
[2] Univ Maryland Baltimore Cty, Irvine, CA USA
[3] Univ Calif Irvine, Irvine, CA 92717 USA
[4] Washington Univ, St Louis, MO 63130 USA
基金
美国国家卫生研究院;
关键词
deprivation; lead exposure; MRI; psychotic-like experiences; urbanicity; HUMAN CEREBRAL-CORTEX; CHILDHOOD; EXPOSURE; DISORDER; STRESS; SCHIZOPHRENIA; SYMPTOMS; BEHAVIOR;
D O I
10.1016/j.jaac.2020.07.003
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Objective: Research implicates environmental risk factors, including correlates of urbanicity, deprivation, and environmental toxins, in psychotic-like experiences (PLEs). The current study examined associations between several types of environmental risk factors and PLEs in school-age children, whether these associations were specific to PLEs or generalized to other psychopathology, and examined possible neural mechanisms for significant associations. Method: The current study used cross-sectional data from 10,328 children 9-10 years old from the Adolescent Brain Cognitive Development (ABCD) Study. Hierarchical linear models examined associations between PLEs and geocoded environmental risk factors and whether associations generalized to internalizing/externalizing symptoms. Mediation models examined evidence of structural magnetic resonance imaging abnormalities (eg, intracranial volume) potentially mediating associations between PLEs and environmental risk factors. Results: Specific types of environmental risk factors, namely, measures of urbanicity (eg, drug offense exposure, less perception of neighborhood safety), deprivation (eg, overall deprivation, poverty rate), and lead exposure risk, were associated with PLEs. These associations showed evidence of stronger associations with PLEs than internalizing/externalizing symptoms (especially overall deprivation, poverty, drug offense exposure, and lead exposure risk). There was evidence that brain volume mediated between 11% and 25% of associations of poverty, perception of neighborhood safety, and lead exposure risk with PLEs. Conclusion: Although in the context of cross-sectional analyses, this evidence is consistent with neural measures partially mediating the association between PLEs and environmental exposures. This study also replicated and extended recent findings of associations between PLEs and environmental exposures, finding evidence for specific associations with correlates of urbanicity, deprivation, and lead exposure risk.
引用
收藏
页码:490 / 500
页数:11
相关论文
共 50 条
  • [1] Achenbach T. M., 2009, The Achenbach system of empirically based assessment (ASEBA): Development, findings, theory, and applications
  • [2] Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description
    Barch, Deanna M.
    Albaugh, Matthew D.
    Avenevoli, Shelli
    Chang, Linda
    Clark, Duncan B.
    Glantz, Meyer D.
    Hudziak, James J.
    Jernigan, Terry L.
    Tapert, Susan F.
    Yurgelun-Todd, Debbie
    Alia-Klein, Nelly
    Potter, Alexandra S.
    Paulus, Martin P.
    Prouty, Devin
    Zucker, Robert A.
    Sher, Kenneth J.
    [J]. DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 2018, 32 : 55 - 66
  • [3] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [4] Understanding Racial Differences in Exposure to Violent Areas: Integrating Survey, Smartphone, and Administrative Data Resources
    Browning, Christopher R.
    Calder, Catherine A.
    Ford, Jodi L.
    Boettner, Bethany
    Smith, Anna L.
    Haynie, Dana
    [J]. ANNALS OF THE AMERICAN ACADEMY OF POLITICAL AND SOCIAL SCIENCE, 2017, 669 (01) : 41 - 62
  • [5] Cognition and psychopathology in first-episode psychosis: are they related to inflammation?
    Cabrera, B.
    Bioque, M.
    Penades, R.
    Gonzalez-Pinto, A.
    Parellada, M.
    Bobes, J.
    Lobo, A.
    Garcia-Bueno, B.
    Leza, J. C.
    Bernardo, M.
    [J]. PSYCHOLOGICAL MEDICINE, 2016, 46 (10) : 2133 - 2144
  • [6] Hierarchical Genetic Organization of Human Cortical Surface Area
    Chen, Chi-Hua
    Gutierrez, E. D.
    Thompson, Wes
    Panizzon, Matthew S.
    Jernigan, Terry L.
    Eyler, Lisa T.
    Fennema-Notestine, Christine
    Jak, Amy J.
    Neale, Michael C.
    Franz, Carol E.
    Lyons, Michael J.
    Grant, Michael D.
    Fischl, Bruce
    Seidman, Larry J.
    Tsuang, Ming T.
    Kremen, William S.
    Dale, Anders M.
    [J]. SCIENCE, 2012, 335 (6076) : 1634 - 1636
  • [7] Cortical surface-based analysis - I. Segmentation and surface reconstruction
    Dale, AM
    Fischl, B
    Sereno, MI
    [J]. NEUROIMAGE, 1999, 9 (02) : 179 - 194
  • [8] The Effects of Air Pollution on the Brain: a Review of Studies Interfacing Environmental Epidemiology and Neuroimaging
    de Prado Bert, Paula
    Henderson Mercader, Elisabet Mae
    Pujol, Jesus
    Sunyer, Jordi
    Mortamais, Marion
    [J]. CURRENT ENVIRONMENTAL HEALTH REPORTS, 2018, 5 (03) : 351 - 364
  • [9] An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
    Desikan, Rahul S.
    Segonne, Florent
    Fischl, Bruce
    Quinn, Brian T.
    Dickerson, Bradford C.
    Blacker, Deborah
    Buckner, Randy L.
    Dale, Anders M.
    Maguire, R. Paul
    Hyman, Bradley T.
    Albert, Marilyn S.
    Killiany, Ronald J.
    [J]. NEUROIMAGE, 2006, 31 (03) : 968 - 980
  • [10] Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States
    Di, Qian
    Kloog, Itai
    Koutrakis, Petros
    Lyapustin, Alexei
    Wang, Yujie
    Schwartz, Joel
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2016, 50 (09) : 4712 - 4721