A Latent Profile Analysis of Emotion Regulation in Relation to Distress of Symptoms in Youth with Prodromal Psychotic Symptoms
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants and Procedure
2.2. Measures
2.2.1. Sociodemographic Questionnaire
2.2.2. The 16-Item Version of Prodromal Questionnaire (PQ-16)
2.2.3. Emotion Regulation Questionnaire (ERQ)
2.3. Data Analysis
3. Results
3.1. Participant Characteristics
3.2. Latent Profile Analysis
3.3. Distress of Psychotic Symptoms across the Identified Latent Profiles
4. Discussion
5. Conclusions
6. Limitations and Implications
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Ferrarelli, F.; Mathalon, D. The Prodromal Phase: Time to Broaden the Scope beyond Transition to Psychosis? Schizophr. Res. 2020, 216, 5–6. [Google Scholar] [CrossRef] [PubMed]
- Raballo, A.; Poletti, M.; Preti, A.; McGorry, P. Clinical High Risk for Psychosis in Children and Adolescents: A Meta-Analysis of Transition Prevalences. Schizophr. Res. 2022, 243, 254–261. [Google Scholar] [CrossRef] [PubMed]
- Moritz, S.; Gawęda, Ł.; Heinz, A.; Gallinat, J. Four Reasons Why Early Detection Centers for Psychosis Should Be Renamed and Their Treatment Targets Reconsidered: We Should Not Catastrophize a Future We Can Neither Reliably Predict nor Change. Psychol. Med. 2019, 49, 2134–2140. [Google Scholar] [CrossRef] [PubMed]
- Strauss, G.P.; Raugh, I.M.; Luther, L.; Walker, E.F.; Mittal, V.A. Temporal Interactions Between Social Motivation and Behavior In Daily Life among Individuals at Clinical High-Risk for Psychosis. Schizophr. Bull. 2023, 49, 1150–1160. [Google Scholar] [CrossRef] [PubMed]
- Fusar-Poli, P. Predicting Psychosis: Meta-Analysis of Transition Outcomes in Individuals at High Clinical Risk. Arch. Gen. Psychiatry 2012, 69, 220. [Google Scholar] [CrossRef] [PubMed]
- Masillo, A.; Valmaggia, L.R.; Saba, R.; Brandizzi, M.; Lindau, J.F.; Solfanelli, A.; Curto, M.; Narilli, F.; Telesforo, L.; Kotzalidis, G.D.; et al. Interpersonal Sensitivity and Functioning Impairment in Youth at Ultra-High Risk for Psychosis. Eur. Child Adolesc. Psychiatry 2016, 25, 7–16. [Google Scholar] [CrossRef] [PubMed]
- Catalan, A.; Salazar De Pablo, G.; Vaquerizo Serrano, J.; Mosillo, P.; Baldwin, H.; Fernández-Rivas, A.; Moreno, C.; Arango, C.; Correll, C.U.; Bonoldi, I.; et al. Annual Research Review: Prevention of Psychosis in Adolescents—Systematic Review and Meta-analysis of Advances in Detection, Prognosis and Intervention. J. Child Psychol. Psychiatry 2021, 62, 657–673. [Google Scholar] [CrossRef] [PubMed]
- Weintraub, M.J.; Denenny, D.; Ichinose, M.C.; Zinberg, J.; Morgan-Fleming, G.; Done, M.; Brown, R.D.; Bearden, C.E.; Miklowitz, D.J. A Randomized Trial of Telehealth Mindfulness-Based Cognitive Therapy and Cognitive Behavioral Therapy Groups for Adolescents with Mood or Attenuated Psychosis Symptoms. J. Consult. Clin. Psychol. 2023, 91, 234–241. [Google Scholar] [CrossRef] [PubMed]
- Wessels, H.; Wagner, M.; Kuhr, K.; Berning, J.; Pützfeld, V.; Janssen, B.; Bottlender, R.; Maurer, K.; Möller, H.; Gaebel, W.; et al. Predictors of Treatment Response to Psychological Interventions in People at Clinical High Risk of First-episode Psychosis. Early Interv. Psychiatry 2019, 13, 120–127. [Google Scholar] [CrossRef]
- Chung, Y.; Jung, H.; Kim, S.; Lee, S.; Shin, S.; Shin, Y.; Park, J.; An, S.K.; Kim, Y. What Factors Are Related to Delayed Treatment in Individuals at High Risk for Psychosis? Early Interv. Psychiatry 2010, 4, 124–131. [Google Scholar] [CrossRef]
- Rapado-Castro, M.; McGorry, P.D.; Yung, A.; Calvo, A.; Nelson, B. Sources of Clinical Distress in Young People at Ultra High Risk of Psychosis. Schizophr. Res. 2015, 165, 15–21. [Google Scholar] [CrossRef] [PubMed]
- Heinze, K.; Lin, A.; Nelson, B.; Reniers, R.L.E.P.; Upthegrove, R.; Clarke, L.; Roche, A.; Lowrie, A.; Wood, S.J. The Impact of Psychotic Experiences in the Early Stages of Mental Health Problems in Young People. BMC Psychiatry 2018, 18, 214. [Google Scholar] [CrossRef] [PubMed]
- Denenny, D.; Thompson, E.; Pitts, S.C.; Dixon, L.B.; Schiffman, J. Subthreshold Psychotic Symptom Distress, Self-Stigma, and Peer Social Support among College Students with Mental Health Concerns. Psychiatr. Rehabil. J. 2015, 38, 164–170. [Google Scholar] [CrossRef] [PubMed]
- Wilson, R.S.; Shryane, N.; Yung, A.R.; Morrison, A.P. Distress Related to Psychotic Symptoms in Individuals at High Risk of Psychosis. Schizophr. Res. 2020, 215, 66–73. [Google Scholar] [CrossRef] [PubMed]
- Carney, R.; Cotter, J.; Bradshaw, T.; Yung, A.R. Examining the Physical Health and Lifestyle of Young People at Ultra-High Risk for Psychosis: A Qualitative Study Involving Service Users, Parents and Clinicians. Psychiatry Res. 2017, 255, 87–93. [Google Scholar] [CrossRef]
- Klaassen, R.M.C.; Velthorst, E.; Nieman, D.H.; De Haan, L.; Becker, H.E.; Dingemans, P.M.; Van De Fliert, J.R.; Van Der Gaag, M.; Linszen, D.H. Factor Analysis of the Scale of Prodromal Symptoms: Differentiating between Negative and Depression Symptoms. Psychopathology 2011, 44, 379–385. [Google Scholar] [CrossRef] [PubMed]
- Howie, C.; Shevlin, M.; Shannon, C.; Davidson, G.; Bunting, L.; Grant, A.; McBride, O.; McCartan, C.; Murphy, J.; Nolan, E.; et al. The Structure of the Prodromal Questionnaire-16 (PQ-16) in a Non-Help-Seeking Youth Population: Exploratory and Confirmatory Factor Analyses Study. Schizophr. Res. 2023, 261, 281–286. [Google Scholar] [CrossRef] [PubMed]
- Riehle, M.; Straková, A.; Lincoln, T.M. Emotional Experience of People with Schizophrenia and People at Risk for Psychosis: A Meta-Analysis. JAMA Psychiatry 2024, 81, 57–66. [Google Scholar] [CrossRef]
- Gross, J.J. Emotion Regulation: Current Status and Future Prospects. Psychol. Inq. 2015, 26, 1–26. [Google Scholar] [CrossRef]
- Sikka, P.; Stenberg, J.; Vorobyev, V.; Gross, J.J. The Neural Bases of Expressive Suppression: A Systematic Review of Functional Neuroimaging Studies. Neurosci. Biobehav. Rev. 2022, 138, 104708. [Google Scholar] [CrossRef]
- Kim, M.; Hwang, W.J.; Park, J.; Kim, T.; Oh, S.; Kwon, J.S. Neurophysiological Correlate of Emotion Regulation by Cognitive Reappraisal and Its Association with Psychotic Symptoms in Early Psychosis. Schizophr. Bull. 2021, 47, 87–96. [Google Scholar] [CrossRef] [PubMed]
- Vines, L.; Bridgwater, M.; Bachman, P.; Hayes, R.; Catalano, S.; Jalbrzikowski, M. Elevated Emotion Reactivity and Emotion Regulation in Individuals at Clinical High Risk for Developing Psychosis and Those Diagnosed with a Psychotic Disorder. Early Interv. Psychiatry 2022, 16, 724–735. [Google Scholar] [CrossRef] [PubMed]
- Liu, J.; Chua, J.J.; Chong, S.A.; Subramaniam, M.; Mahendran, R. The Impact of Emotion Dysregulation on Positive and Negative Symptoms in Schizophrenia Spectrum Disorders: A Systematic Review. J. Clin. Psychol. 2020, 76, 612–624. [Google Scholar] [CrossRef] [PubMed]
- Damme, K.S.F.; Gupta, T.; Haase, C.M.; Mittal, V.A. Responses to Positive Affect and Unique Resting-State Connectivity in Individuals at Clinical High-Risk for Psychosis. NeuroImage Clin. 2022, 33, 102946. [Google Scholar] [CrossRef] [PubMed]
- Kimhy, D.; Gill, K.E.; Brucato, G.; Vakhrusheva, J.; Arndt, L.; Gross, J.J.; Girgis, R.R. The Impact of Emotion Awareness and Regulation on Social Functioning in Individuals at Clinical High Risk for Psychosis. Psychol. Med. 2016, 46, 2907–2918. [Google Scholar] [CrossRef] [PubMed]
- Yee, C.I.; Gupta, T.; Mittal, V.A.; Haase, C.M. Coping with Family Stress in Individuals at Clinical High-Risk for Psychosis. Schizophr. Res. 2020, 216, 222–228. [Google Scholar] [CrossRef] [PubMed]
- Vrieze, S.I. Model Selection and Psychological Theory: A Discussion of the Differences between the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). Psychol. Methods 2012, 17, 228–243. [Google Scholar] [CrossRef] [PubMed]
- Chen, F.; Wang, L.; Heeramun-Aubeeluck, A.; Wang, J.; Shi, J.; Yuan, J.; Zhao, X. Identification and Characterization of College Students with Attenuated Psychosis Syndrome in China. Psychiatry Res. 2014, 216, 346–350. [Google Scholar] [CrossRef] [PubMed]
- Su, N.; Wang, L.; Shi, J.; Zhao, X. Reliability and Validity of Prodromal Questionnaire (PQ-16) in Assessing Psychosis-Risk of College Students. J. Tongji Univ. Med. 2015, 123–127. [Google Scholar]
- Shi, J.; Wang, L.; Yao, Y.; Chen, F.; Su, N.; Zhao, X.; Zhan, C. Protective Factors in Chinese University Students at Clinical High Risk for Psychosis. Psychiatry Res. 2016, 239, 239–244. [Google Scholar] [CrossRef]
- Gross, J.J.; John, O.P. Individual Differences in Two Emotion Regulation Processes: Implications for Affect, Relationships, and Well-Being. J. Pers. Soc. Psychol. 2003, 85, 348–362. [Google Scholar] [CrossRef] [PubMed]
- Shi, J.; Yao, Y.; Zhan, C.; Mao, Z.; Yin, F.; Zhao, X. The Relationship Between Big Five Personality Traits and Psychotic Experience in a Large Non-Clinical Youth Sample: The Mediating Role of Emotion Regulation. Front. Psychiatry 2018, 9, 648. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.-Y.; Podsakoff, N.P. Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef]
- Tein, J.-Y.; Coxe, S.; Cham, H. Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis. Struct. Equ. Model. Multidiscip. J. 2013, 20, 640–657. [Google Scholar] [CrossRef] [PubMed]
- Nylund, K.L.; Asparouhov, T.; Muthén, B.O. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study. Struct. Equ. Model. Multidiscip. J. 2007, 14, 535–569. [Google Scholar] [CrossRef]
- Preacher, K.J.; Merkle, E.C. The Problem of Model Selection Uncertainty in Structural Equation Modeling. Psychol. Methods 2012, 17, 1–14. [Google Scholar] [CrossRef] [PubMed]
- Bolck, A.; Croon, M.; Hagenaars, J. Estimating Latent Structure Models with Categorical Variables: One-Step versus Three-Step Estimators. Polit. Anal. 2004, 12, 3–27. [Google Scholar] [CrossRef]
- Berglund, A.M.; James, S.H.; Raugh, I.M.; Strauss, G.P. Beliefs About the Uncontrollability and Usefulness of Emotion in the Schizophrenia-Spectrum: Links to Emotion Regulation and Negative Symptoms. Cogn. Ther. Res. 2023, 47, 282–294. [Google Scholar] [CrossRef]
- Van Der Velde, J.; Opmeer, E.M.; Liemburg, E.J.; Bruggeman, R.; Nieboer, R.; Wunderink, L.; Aleman, A. Lower Prefrontal Activation during Emotion Regulation in Subjects at Ultrahigh Risk for Psychosis: An fMRI-Study. Npj Schizophr. 2015, 1, 15026. [Google Scholar] [CrossRef]
- Rosen, C.; Harrow, M.; Humpston, C.; Tong, L.; Jobe, T.H.; Harrow, H. “An Experience of Meaning”: A 20-Year Prospective Analysis of Delusional Realities in Schizophrenia and Affective Psychoses. Front. Psychiatry 2022, 13, 940124. [Google Scholar] [CrossRef]
- Macfie, W.G.; Spilka, M.J.; Bartolomeo, L.A.; Gonzalez, C.M.; Strauss, G.P. Emotion Regulation and Social Knowledge in Youth at Clinical High-Risk for Psychosis and Outpatients with Chronic Schizophrenia: Associations with Functional Outcome and Negative Symptoms. Early Interv. Psychiatry 2023, 17, 21–28. [Google Scholar] [CrossRef] [PubMed]
- Kim, N.Y.; Hsu, J.; Talmasov, D.; Joutsa, J.; Soussand, L.; Wu, O.; Rost, N.S.; Morenas-Rodríguez, E.; Martí-Fàbregas, J.; Pascual-Leone, A.; et al. Lesions Causing Hallucinations Localize to One Common Brain Network. Mol. Psychiatry 2021, 26, 1299–1309. [Google Scholar] [CrossRef] [PubMed]
- Adraoui, F.W.; Douw, L.; Martens, G.J.M.; Maas, D.A. Connecting Neurobiological Features with Interregional Dysconnectivity in Social-Cognitive Impairments of Schizophrenia. Int. J. Mol. Sci. 2023, 24, 7680. [Google Scholar] [CrossRef] [PubMed]
- Geisler, F.C.M.; Schröder-Abé, M. Is Emotion Suppression Beneficial or Harmful? It Depends on Self-Regulatory Strength. Motiv. Emot. 2015, 39, 553–562. [Google Scholar] [CrossRef]
- Nardelli, C.; Bonanno, G.A.; Chen, S.; Bortolon, C. Emotion Regulation Flexibility and Psychosis: A Longitudinal Study Disentangling Components of Flexibility in Psychosis-proneness. Br. J. Clin. Psychol. 2023, 63, 54–72. [Google Scholar] [CrossRef] [PubMed]
- Raugh, I.M.; Strauss, G.P. Deconstructing Emotion Regulation in Schizophrenia: The Nature and Consequences of Abnormalities at the Identification Stage. Eur. Arch. Psychiatry Clin. Neurosci. 2022, 272, 1061–1071. [Google Scholar] [CrossRef] [PubMed]
- Strakeljahn, F.; Lincoln, T.M.; Hennig, T.; Schlier, B. The Use of Adaptive Emotion Regulation Strategies in People with Attenuated Psychotic Symptoms—Results from a Two-Week Diary Study. Schizophr. Res. 2023, 255, 233–238. [Google Scholar] [CrossRef]
- McRae, K.; Gross, J.J. Emotion Regulation. Emotion 2020, 20, 1–9. [Google Scholar] [CrossRef]
Variables | n | % |
---|---|---|
Age (M ± SD) | 19.32 ± 2.40 | |
Gender | ||
Male | 241 | 61.17 |
Female | 153 | 38.83 |
Left-behind experience | ||
Yes | 165 | 41.88 |
No | 229 | 58.12 |
Only child in their family | ||
Yes | 253 | 64.21 |
No | 141 | 35.79 |
AIC | BIC | aBIC | Entropy | LMRT p-Value | BLRT p-Value | |
---|---|---|---|---|---|---|
One-class | 14,086.42 | 14,165.94 | 14,102.48 | - | - | - |
Two-class | 13,702.21 | 13,825.48 | 13,727.11 | 0.83 | <0.05 | <0.05 |
Three-class | 13,524.91 | 13,691.92 | 13,558.65 | 0.82 | <0.05 | <0.05 |
Four-class | 13,438.12 | 13,648.86 | 13,480.69 | 0.81 | 0.58 | 0.59 |
Variables | Class 1 M (SD) | Class 2 M (SD) | Class 3 M (SD) | F | LSD |
---|---|---|---|---|---|
Emotion regulation | 7.60 (1.69) | 9.19 (1.13) | 10.52 (1.30) | 95.12 ** | 1 < 2 < 3 |
Expressive suppression | 4.49 (1.36) | 4.56 (1.00) | 4.61 (1.20) | 0.19 | |
Cognitive reappraisal | 3.11 (0.53) | 4.64 (0.45) | 5.91 (0.43) | 672.32 ** | 1 < 2 < 3 |
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Zhang, P.; Long, M.; Shi, J. A Latent Profile Analysis of Emotion Regulation in Relation to Distress of Symptoms in Youth with Prodromal Psychotic Symptoms. Behav. Sci. 2024, 14, 698. https://doi.org/10.3390/bs14080698
Zhang P, Long M, Shi J. A Latent Profile Analysis of Emotion Regulation in Relation to Distress of Symptoms in Youth with Prodromal Psychotic Symptoms. Behavioral Sciences. 2024; 14(8):698. https://doi.org/10.3390/bs14080698
Chicago/Turabian StyleZhang, Peiyu, Manling Long, and Jingyu Shi. 2024. "A Latent Profile Analysis of Emotion Regulation in Relation to Distress of Symptoms in Youth with Prodromal Psychotic Symptoms" Behavioral Sciences 14, no. 8: 698. https://doi.org/10.3390/bs14080698