Exposure to environmental factors increases connectivity between symptom domains in the psychopathology network
Creators
- 1. Department of Psychiatry and Psychology, Maastricht University Medical Centre, P.O. BOX 616, 6200 MD, Maastricht, The Netherlands
- 2. Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
- 3. Department of Psychology, Division of Clinical Psychology and Epidemiology, University of Basel, Basel, Switzerland
- 4. Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
Description
Background: We investigated to what degree environmental exposure (childhood trauma, urbanicity, cannabis use, and discrimination) impacts symptom connectivity using both continuous and categorical measures of psychopathology.
Methods: Outcomes were continuous symptom dimensions of self-reported psychopathology using the Self-report Symptom Checklist-90-R in 3021 participants from The Early Developmental Stages of the Psychopathology (EDSP) study and binary DSM-III-R categories of mental disorders and a binary measure of psychotic symptoms in 7076 participants from The Netherlands Mental Health Survey and Incidence Study (NEMESIS-1). For each symptom dimension in the EDSP and mental disorder in the NEMESIS-1 as the dependent variable, regression analyses were carried out including each of the remaining symptom dimensions/mental disorders and its interaction with cumulative environmental risk load (the sum score of environmental exposures) as independent variables.
Results: All symptom dimensions in the EDSP and related diagnostic categories in the NEMESIS-1 were strongly associated with each other, and environmental exposures increased the degree of symptom connectivity in the networks in both cohorts.
Conclusions: Our findings showing strong connectivity across symptom dimensions and related binary diagnostic constructs in two independent population cohorts provide further evidence for the conceptualization of psychopathology as a contextually sensitive network of mutually interacting symptoms.
Files
12888_2016_Article_935.pdf
Files
(647.5 kB)
Name | Size | Download all |
---|---|---|
md5:2bff1da390cc0246a4352163cbf2d44f
|
629.4 kB | Preview Download |
md5:c8f2e94a9bae4732a4d7205d9543786a
|
18.0 kB | Download |