» Articles » PMID: 37246568

Environmental Context Predicts State Fluctuations in Negative Symptoms in Youth at Clinical High Risk for Psychosis

Overview
Journal Psychol Med
Specialty Psychology
Date 2023 May 29
PMID 37246568
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Negative symptoms (avolition, anhedonia, asociality) are a prevalent symptom in those across the psychosis-spectrum and also occur at subclinical levels in the general population. Recent work has begun to examine how environmental contexts (e.g. locations) influence negative symptoms. However, limited work has evaluated how environments may contribute to negative symptoms among youth at clinical high risk for psychosis (CHR). The current study uses Ecological Momentary Assessment to assess how four environmental contexts (locations, activities, social interactions, social interaction method) impact state fluctuations in negative symptoms in CHR and healthy control (CN) participants.

Methods: CHR youth ( = 116) and CN ( = 61) completed 8 daily surveys for 6 days assessing negative symptoms and contexts.

Results: Mixed-effects modeling demonstrated that negative symptoms largely varied across contexts in both groups. CHR participants had higher negative symptoms than CN participants in most contexts, but groups had similar symptom reductions during recreational activities and phone call interactions. Among CHR participants, negative symptoms were elevated in several contexts, including studying/working, commuting, eating, running errands, and being at home.

Conclusions: Results demonstrate that negative symptoms dynamically change across some contexts in CHR participants. Negative symptoms were more intact in some contexts, while other contexts, notably some used to promote functional recovery, may exacerbate negative symptoms in CHR. Findings suggest that environmental factors should be considered when understanding state fluctuations in negative symptoms among those at CHR participants.

Citing Articles

Real-life Affective Forecasting in Young Adults with High Social Anhedonia: An Experience Sampling Study.

Zhang R, Gao Y, Yang T, Yan C, Wang Y, Lui S Schizophr Bull Open. 2025; 6(1):sgaf003.

PMID: 40071138 PMC: 11894928. DOI: 10.1093/schizbullopen/sgaf003.


Temporal Interactions Between Social Motivation and Behavior In Daily Life Among Individuals at Clinical High-Risk for Psychosis.

Strauss G, Raugh I, Luther L, Walker E, Mittal V Schizophr Bull. 2023; 49(5):1150-1160.

PMID: 37467481 PMC: 10483454. DOI: 10.1093/schbul/sbad096.

References
1.
Michel C, Lerch S, Buetiger J, Fluckiger R, Cavelti M, Koenig J . An ecological momentary assessment study of age effects on perceptive and non-perceptive clinical high-risk symptoms of psychosis. Eur Child Adolesc Psychiatry. 2022; 32(10):1841-1852. PMC: 9116495. DOI: 10.1007/s00787-022-02003-9. View

2.
Schlosser D, Fisher M, Gard D, Fulford D, Loewy R, Vinogradov S . Motivational deficits in individuals at-risk for psychosis and across the course of schizophrenia. Schizophr Res. 2014; 158(1-3):52-7. PMC: 4152418. DOI: 10.1016/j.schres.2014.06.024. View

3.
Alvarez-Jimenez M, Koval P, Schmaal L, Bendall S, OSullivan S, Cagliarini D . The Horyzons project: a randomized controlled trial of a novel online social therapy to maintain treatment effects from specialist first-episode psychosis services. World Psychiatry. 2021; 20(2):233-243. PMC: 8129860. DOI: 10.1002/wps.20858. View

4.
Piskulic D, Addington J, Cadenhead K, Cannon T, Cornblatt B, Heinssen R . Negative symptoms in individuals at clinical high risk of psychosis. Psychiatry Res. 2012; 196(2-3):220-4. PMC: 4119605. DOI: 10.1016/j.psychres.2012.02.018. View

5.
Schlosser D, Campellone T, Biagianti B, Delucchi K, Gard D, Fulford D . Modeling the role of negative symptoms in determining social functioning in individuals at clinical high risk of psychosis. Schizophr Res. 2015; 169(1-3):204-208. PMC: 4681660. DOI: 10.1016/j.schres.2015.10.036. View