Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-24T17:44:49.092Z Has data issue: false hasContentIssue false

Effects of socioeconomic status in cognition of people with schizophrenia: results from a Latin American collaboration network with 1175 subjects

Published online by Cambridge University Press:  23 June 2021

Letícia Sanguinetti Czepielewski*
Affiliation:
Laboratory of Molecular Psychiatry, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil Programa de Pós-Graduação em Psicologia, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
Luz Maria Alliende
Affiliation:
Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile
Carmen Paz Castañeda
Affiliation:
Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile
Mariana Castro
Affiliation:
Research Group on Neurosciences as applied to Abnormal Behaviour (INAAC Group), FLENI-CONICET Neurosciences Institute, Buenos Aires, Argentina Department of Psychiatry and Mental Health (Fleni Teaching Unit) and Department of Physiology, University of Buenos Aires School of Medicine, Buenos Aires, Argentina
Salvador M. Guinjoan
Affiliation:
Department of Psychiatry and Mental Health (Fleni Teaching Unit), University of Buenos Aires School of Medicine. CONICET, Buenos Aires, Argentina
Raffael Massuda
Affiliation:
Departamento de Psiquiatria, Universidade Federal do Paraná (UFPR), Curitiba, Brazil
Arthur A. Berberian
Affiliation:
Universidade Federal de São Paulo, São Paulo, Brazil
Ana Olivia Fonseca
Affiliation:
Universidade Federal de São Paulo, São Paulo, Brazil
Ary Gadelha
Affiliation:
Programa de Esquizofrenia, da Escola Paulista de Medicina Universidade Federal de São Paulo (PROESQ-EPM/UNIFESP). Laboratory of Integrative Neuroscience (LINC), Escola Paulista de Medicina Universidade Federal de São Paulo, São Paulo, Brazil
Rodrigo Bressan
Affiliation:
Universidade Federal de São Paulo, São Paulo, Brazil
Marisa Crivelaro
Affiliation:
PROJESQ (Programa de Esquizofrenia), Instituto de Psiquiatria do HCFMUSP, São Paulo, Brazil
Mario Louzã
Affiliation:
PROJESQ (Programa de Esquizofrenia), Instituto de Psiquiatria do HCFMUSP, São Paulo, Brazil
Juan Undurraga
Affiliation:
Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile Department of Neurology and Psychiatry, Faculty of Medicine, Clínica Alemana Universidad del Desarrollo, Santiago, Chile
Alfonso González-Valderrama
Affiliation:
Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile School of Medicine, Universidad Finis Terrae, Santiago, Chile
Rubén Nachar
Affiliation:
Early Intervention Program, Instituto Psiquiátrico Dr J. Horwitz Barak, Santiago, Chile School of Medicine, Universidad Finis Terrae, Santiago, Chile
Rodrigo R. Nieto
Affiliation:
University Psychiatric Clinic, Clinical Hospital, Universidad de Chile, Santiago, Chile Department of Psychiatry and Mental Health, Faculty of Medicine, Universidad de Chile, Santiago, Chile Department of Neuroscience, Faculty of Medicine, Universidad de Chile, Santiago, Chile
Cristian Montes
Affiliation:
University Psychiatric Clinic, Clinical Hospital, Universidad de Chile, Santiago, Chile Department of Psychiatry and Mental Health, Faculty of Medicine, Universidad de Chile, Santiago, Chile
Hernan Silva
Affiliation:
University Psychiatric Clinic, Clinical Hospital, Universidad de Chile, Santiago, Chile Department of Psychiatry and Mental Health, Faculty of Medicine, Universidad de Chile, Santiago, Chile
Álvaro I. Langer
Affiliation:
Instituto de Estudios Psicológicos, Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile Center for Interdisciplinary Studies on the Nervous System (CISNe), Universidad Austral de Chile, Valdivia, Chile Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (Imhay), Santiago, Chile Millennium Institute for Research in Depression and Personality (MIDAP), Santiago, Chile
Carlos Schmidt
Affiliation:
Millennium Institute for Research in Depression and Personality (MIDAP), Santiago, Chile Brain, Cognition and Behavior PhD Program, University of Barcelona, Barcelona, Spain
Rocío Mayol-Troncoso
Affiliation:
University Psychiatric Clinic, Clinical Hospital, Universidad de Chile, Santiago, Chile Department of Psychiatry and Mental Health, Faculty of Medicine, Universidad de Chile, Santiago, Chile Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (Imhay), Santiago, Chile
Ana M. Díaz-Zuluaga
Affiliation:
Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
Johanna Valencia-Echeverry
Affiliation:
Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
Carlos López-Jaramillo
Affiliation:
Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
Rodolfo Solís-Vivanco
Affiliation:
Laboratory of Neuropsychology, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
Francisco Reyes-Madrigal
Affiliation:
Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
Camilo de la Fuente-Sandoval
Affiliation:
Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
Nicolás A. Crossley
Affiliation:
Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile Biomedical Imaging Center and Center for Integrative Neuroscience, Pontificia Universidad Católica de Chile, Santiago, Chile Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK
Clarissa S. Gama
Affiliation:
Laboratory of Molecular Psychiatry, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil Graduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
*
Author for correspondence: Leticia Sanguinetti Czepielewski, E-mail: [email protected]

Abstract

Background

Cognition heavily relies on social determinants and genetic background. Latin America comprises approximately 8% of the global population and faces unique challenges, many derived from specific demographic and socioeconomic variables, such as violence and inequality. While such factors have been described to influence mental health outcomes, no large-scale studies with Latin American population have been carried out. Therefore, we aim to describe the cognitive performance of a representative sample of Latin American individuals with schizophrenia and its relationship to clinical factors. Additionally, we aim to investigate how socioeconomic status (SES) relates to cognitive performance in patients and controls.

Methods

We included 1175 participants from five Latin American countries (Argentina, Brazil, Chile, Colombia, and Mexico): 864 individuals with schizophrenia and 311 unaffected subjects. All participants were part of projects that included cognitive evaluation with MATRICS Consensus Cognitive Battery and clinical assessments.

Results

Patients showed worse cognitive performance than controls across all domains. Age and diagnosis were independent predictors, indicating similar trajectories of cognitive aging for both patients and controls. The SES factors of education, parental education, and income were more related to cognition in patients than in controls. Cognition was also influenced by symptomatology.

Conclusions

Patients did not show evidence of accelerated cognitive aging; however, they were most impacted by a lower SES suggestive of deprived environment than controls. These findings highlight the vulnerability of cognitive capacity in individuals with psychosis in face of demographic and socioeconomic factors in low- and middle-income countries.

Type
Original Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

The online version of this article has been updated since original publication. A notice detailing the changes has also been published at: https://doi.org/10.1017/S0033291721003858

References

Abramo, L., Cecchini, S., & Ullmann, H. (2020). Enfrentar las desigualdades en salud en América Latina: el rol de la protección social. Ciência & Saúde Coletiva, 25(5), 15871598. https://doi.org/10.1590/1413-81232020255.32802019.CrossRefGoogle Scholar
Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., & Syme, S. L. (1994). Socioeconomic status and health: The challenge of the gradient. American Psychologist, 49(1), 1524. https://doi.org/10.1037/0003-066X.49.1.15.CrossRefGoogle ScholarPubMed
Anderson, N. B., & Armstead, C. A. (1995). Toward understanding the association of socioeconomic status and health. Psychosomatic Medicine, 57(3), 213225. https://doi.org/10.1097/00006842-199505000-00003.CrossRefGoogle ScholarPubMed
Atun, R., de Andrade, L. O. M., Almeida, G., Cotlear, D., Dmytraczenko, T., Frenz, P., … Wagstaff, A. (2015). Health-system reform and universal health coverage in Latin America. The Lancet, 385(9974), 12301247. https://doi.org/10.1016/S0140-6736(14)61646-9.CrossRefGoogle ScholarPubMed
Bayona-i-Carrasco, J., & Avila-Tàpies, R. (2020). Latin Americans and Caribbeans in Europe: A cross-country analysis. International Migration, 58(1), 198218. https://doi.org/10.1111/imig.12565.CrossRefGoogle Scholar
Beran, D., Byass, P., Gbakima, A., Kahn, K., Sankoh, O., Tollman, S., … Davies, J. (2017). Research capacity building—obligations for global health partners. The Lancet Global Health, 5(6), e567e568. https://doi.org/10.1016/S2214-109X(17)30180-8.CrossRefGoogle ScholarPubMed
Bilal, U., Alazraqui, M., Caiaffa, W. T., Lopez-Olmedo, N., Martinez-Folgar, K., Miranda, J. J., … Diez-Roux, A. V. (2019). Inequalities in life expectancy in six large Latin American cities from the SALURBAL study: An ecological analysis. The Lancet Planetary Health, 3(12), e503e510. https://doi.org/10.1016/S2542-5196(19)30235-9.CrossRefGoogle ScholarPubMed
Bora, E. (2015). Neurodevelopmental origin of cognitive impairment in schizophrenia. Psychological Medicine, 45(1), 19. https://doi.org/10.1017/S0033291714001263.CrossRefGoogle Scholar
Braveman, P. A., Cubbin, C., Egerter, S., Chideya, S., Marchi, K. S., Metzler, M., & Posner, S. (2005). Socioeconomic status in health research. JAMA, 294(22), 2879. https://doi.org/10.1001/jama.294.22.2879.CrossRefGoogle ScholarPubMed
Canudas-Romo, V., & Aburto, J. M. (2019). Youth lost to homicides: Disparities in survival in Latin America and the Caribbean. BMJ Global Health, 4(2), e001275. https://doi.org/10.1136/bmjgh-2018-001275.CrossRefGoogle ScholarPubMed
Carruthers, S. P., Van Rheenen, T. E., Gurvich, C., Sumner, P. J., & Rossell, S. L. (2019). Characterising the structure of cognitive heterogeneity in schizophrenia spectrum disorders. A systematic review and narrative synthesis. Neuroscience & Biobehavioral Reviews, 107, 252278. https://doi.org/10.1016/j.neubiorev.2019.09.006.CrossRefGoogle ScholarPubMed
Choleris, E., Galea, L. A. M., Sohrabji, F., & Frick, K. M. (2018). Sex differences in the brain: Implications for behavioral and biomedical research. Neuroscience & Biobehavioral Reviews, 85, 126145. https://doi.org/10.1016/j.neubiorev.2017.07.005.CrossRefGoogle ScholarPubMed
Crossley, N., Guinjoan, S., Rivera, G., Jackowski, A., Gadelha, A., Elkis, H., … Bressan, R. (2019). S81. Andes network – studying early psychosis in Latin America. Schizophrenia Bulletin, 45 (Suppl 2), S338S338. https://doi.org/10.1093/schbul/sbz020.626.CrossRefGoogle Scholar
Crossley, N. A., Zugman, A., Reyes-Madrigal, F., Czepielewski, L. S., Castro, M. N., Diaz-Zuluaga, A. M., … Bressan, R. A. (2021). Structural brain abnormalities in schizophrenia in adverse environments: Examining the effect of poverty and violence in six Latin American cities. The British Journal of Psychiatry, 218(2), 112118. https://doi.org/10.1192/bjp.2020.143.CrossRefGoogle ScholarPubMed
Czepielewski, L.S., Massuda, R., Panizzutti, B., Grun, L. K., Barbé-Tuana, F. M., Teixeira, A. L., … Gama, C. S. (2018). Telomere length and CCL11 levels are associated with gray matter volume and episodic memory performance in schizophrenia: Evidence of pathological accelerated aging. Schizophrenia Bulletin, 44(1), 158167. https://doi.org/10.1093/schbul/sbx015.CrossRefGoogle ScholarPubMed
Czepielewski, L.S., Wang, L., Gama, C. S., & Barch, D. M. (2017). The relationship of intellectual functioning and cognitive performance to brain structure in schizophrenia. Schizophrenia Bulletin, 43(2), 355364. https://doi.org/10.1093/schbul/sbw090.Google Scholar
DeVylder, J. E., Kelleher, I., Lalane, M., Oh, H., Link, B. G., & Koyanagi, A. (2018). Association of urbanicity with psychosis in low- and middle-income countries. JAMA Psychiatry, 75(7), 678. https://doi.org/10.1001/jamapsychiatry.2018.0577.CrossRefGoogle ScholarPubMed
DeVylder, J. E., Koyanagi, A., Unick, J., Oh, H., Nam, B., & Stickley, A. (2016). Stress sensitivity and psychotic experiences in 39 low- and middle-income countries. Schizophrenia Bulletin, 42(6), 13531362. https://doi.org/10.1093/schbul/sbw044.CrossRefGoogle ScholarPubMed
Farah, M. J. (2017). The neuroscience of socioeconomic status: Correlates, causes, and consequences. Neuron, 96(1), 5671. https://doi.org/10.1016/j.neuron.2017.08.034.CrossRefGoogle ScholarPubMed
Farooq, S., Large, M., Nielssen, O., & Waheed, W. (2009). The relationship between the duration of untreated psychosis and outcome in low- and middle-income countries: A systematic review and meta analysis. Schizophrenia Research, 109(1–3), 1523. https://doi.org/10.1016/j.schres.2009.01.008.CrossRefGoogle ScholarPubMed
Fatouros-Bergman, H., Cervenka, S., Flyckt, L., Edman, G., & Farde, L. (2014). Meta-analysis of cognitive performance in drug-naïve patients with schizophrenia. Schizophrenia Research, 158(1–3), 156162. https://doi.org/10.1016/j.schres.2014.06.034.CrossRefGoogle ScholarPubMed
Fett, A.-K. J., Velthorst, E., Reichenberg, A., Ruggero, C. J., Callahan, J. L., Fochtmann, L. J., … Kotov, R. (2020). Long-term changes in cognitive functioning in individuals with psychotic disorders. JAMA Psychiatry, 77(4), 387. https://doi.org/10.1001/jamapsychiatry.2019.3993.CrossRefGoogle ScholarPubMed
Fett, A.-K. J., Viechtbauer, W., Dominguez, M.-G., Penn, D. L., van Os, J., & Krabbendam, L. (2011). The relationship between neurocognition and social cognition with functional outcomes in schizophrenia: A meta-analysis. Neuroscience & Biobehavioral Reviews, 35(3), 573588. https://doi.org/10.1016/j.neubiorev.2010.07.001.CrossRefGoogle ScholarPubMed
Fioravanti, M., Bianchi, V., & Cinti, M. E. (2012). Cognitive deficits in schizophrenia: An updated meta-analysis of the scientific evidence. BMC Psychiatry, 12(1), 64. https://doi.org/10.1186/1471-244X-12-64.CrossRefGoogle ScholarPubMed
Forero, D. A., Trujillo, M. L., González-Giraldo, Y., & Barreto, G. E. (2020). Scientific productivity in neurosciences in Latin America: A scientometrics perspective. International Journal of Neuroscience, 130(4), 398406. https://doi.org/10.1080/00207454.2019.1692837.CrossRefGoogle ScholarPubMed
Goldberg, S., Fruchter, E., Davidson, M., Reichenberg, A., Yoffe, R., & Weiser, M. (2011). The relationship between risk of hospitalization for schizophrenia, SES, and cognitive functioning. Schizophrenia Bulletin, 37(4), 664670. https://doi.org/10.1093/schbul/sbr047.CrossRefGoogle ScholarPubMed
Gooding, D. C., Park, S., Dias, E. C., Goghari, V. M., & Chan, R. R. C. K. (2020). Increasing diversity within scientific research organizations: A call to action. Schizophrenia Research, 216, 79. https://doi.org/10.1016/j.schres.2019.12.033.CrossRefGoogle ScholarPubMed
Green, M. J., Girshkin, L., Kremerskothen, K., Watkeys, O., & Quidé, Y. (2020). A systematic review of studies reporting data-driven cognitive subtypes across the psychosis Spectrum. Neuropsychology Review, 30(4), 446460. https://doi.org/10.1007/s11065-019-09422-7.CrossRefGoogle ScholarPubMed
Gur, R. E., Moore, T. M., Rosen, A. F. G., Barzilay, R., Roalf, D. R., Calkins, M. E., … Gur, R. C. (2019). Burden of environmental adversity associated with psychopathology, maturation, and brain behavior parameters in youths. JAMA Psychiatry, 76(9), 966. https://doi.org/10.1001/jamapsychiatry.2019.0943.CrossRefGoogle ScholarPubMed
Halverson, T. F., Orleans-Pobee, M., Merritt, C., Sheeran, P., Fett, A.-K., & Penn, D. L. (2019). Pathways to functional outcomes in schizophrenia spectrum disorders: Meta-analysis of social cognitive and neurocognitive predictors. Neuroscience & Biobehavioral Reviews, 105, 212219. https://doi.org/10.1016/j.neubiorev.2019.07.020.CrossRefGoogle ScholarPubMed
Hanscombe, K. B., Trzaskowski, M., Haworth, C. M. A., Davis, O. S. P., Dale, P. S., & Plomin, R. (2012). Socioeconomic status (SES) and Children's Intelligence (IQ): In a UK-representative sample SES moderates the environmental, not genetic, effect on IQ. PLoS ONE, 7(2), e30320. https://doi.org/10.1371/journal.pone.0030320.CrossRefGoogle Scholar
Haro, J. M., Altamura, C., Corral, R., Elkis, H., Evans, J., Krebs, M.-O., … Nordstroem, A.-L. (2018). Understanding the course of persistent symptoms in schizophrenia: Longitudinal findings from the pattern study. Psychiatry Research, 267, 5662. https://doi.org/10.1016/j.psychres.2018.04.005.CrossRefGoogle ScholarPubMed
Hart, S. A., Petrill, S. A., Deater Deckard, K., & Thompson, L. A. (2007). SES and CHAOS as environmental mediators of cognitive ability: A longitudinal genetic analysis. Intelligence, 35(3), 233242. https://doi.org/10.1016/j.intell.2006.08.004.CrossRefGoogle ScholarPubMed
Herrero, P., Contador, I., Stern, Y., Fernández-Calvo, B., Sánchez, A., & Ramos, F. (2020). Influence of cognitive reserve in schizophrenia: A systematic review. Neuroscience & Biobehavioral Reviews, 108, 149159. https://doi.org/10.1016/j.neubiorev.2019.10.019.CrossRefGoogle ScholarPubMed
Hochberger, W. C., Thomas, M. L., Joshi, Y. B., Swerdlow, N. R., Braff, D. L., Gur, R. E., … Light, G. A. (2020). Deviation from expected cognitive ability is a core cognitive feature of schizophrenia related to neurophysiologic, clinical and psychosocial functioning. Schizophrenia Research, 215, 300307. https://doi.org/10.1016/j.schres.2019.10.011.CrossRefGoogle ScholarPubMed
Islam, M. A., Habtewold, T. D., van Es, F. D., Quee, P. J., van den Heuvel, E. R., Alizadeh, B. Z., & Bruggeman, R. (2018). Long-term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings. Acta Psychiatrica Scandinavica, 138(6), 591604. https://doi.org/10.1111/acps.12961.CrossRefGoogle ScholarPubMed
Karantonis, J. A., Rossell, S. L., Carruthers, S. P., Sumner, P., Hughes, M., Green, M. J., … Van Rheenen, T. E. (2020). Cognitive validation of cross-diagnostic cognitive subgroups on the schizophrenia-bipolar spectrum. Journal of Affective Disorders, 266, 710721. https://doi.org/10.1016/j.jad.2020.01.123.CrossRefGoogle ScholarPubMed
Kohn, R., Ali, A. A., Puac-Polanco, V., Figueroa, C., López-Soto, V., Morgan, K., … Vicente, B. (2018). Mental health in the Americas: An overview of the treatment gap. Revista Panamericana de Salud Pública, 42, e165. https://doi.org/10.26633/RPSP.2018.165.CrossRefGoogle ScholarPubMed
Kwok, W. (2014). Is there evidence that social class at birth increases risk of psychosis? A systematic review. International Journal of Social Psychiatry, 60(8), 801808. https://doi.org/10.1177/0020764014524737.CrossRefGoogle ScholarPubMed
Lam, M., Chen, C.-Y., Li, Z., Martin, A. R., Bryois, J., Ma, X., … Huang, H. (2019). Comparative genetic architectures of schizophrenia in East Asian and European populations. Nature Genetics, 51(12), 16701678. https://doi.org/10.1038/s41588-019-0512-x.CrossRefGoogle ScholarPubMed
Large, M., Nielssen, O., Farooq, S., & Glozier, N. (2010). Increasing rates of psychiatric publication from Low- and middle-income Countries. International Journal of Social Psychiatry, 56(5), 497506. https://doi.org/10.1177/0020764009102412.CrossRefGoogle ScholarPubMed
Lima, F., Rabelo-da-Ponte, F. D., Bücker, J., Czepielewski, L., Hasse-Sousa, M., Telesca, R., … Rosa, A. R. (2019). Identifying cognitive subgroups in bipolar disorder: A cluster analysis. Journal of Affective Disorders, 246, 252261. https://doi.org/10.1016/j.jad.2018.12.044.CrossRefGoogle ScholarPubMed
Luo, Y., Zhang, L., He, P., Pang, L., Guo, C., & Zheng, X. (2019). Individual-level and area-level socioeconomic status (SES) and schizophrenia: Cross-sectional analyses using the evidence from 1.9 million Chinese adults. BMJ Open, 9(9), e026532. https://doi.org/10.1136/bmjopen-2018-026532.CrossRefGoogle ScholarPubMed
Mendrek, A., & Mancini-Marïe, A. (2016). Sex/gender differences in the brain and cognition in schizophrenia. Neuroscience & Biobehavioral Reviews, 67, 5778. https://doi.org/10.1016/j.neubiorev.2015.10.013.CrossRefGoogle ScholarPubMed
Mollon, J., & Reichenberg, A. (2018). Cognitive development prior to onset of psychosis. Psychological Medicine, 48(3), 392403. https://doi.org/10.1017/S0033291717001970.CrossRefGoogle Scholar
Neidhöfer, G., Serrano, J., & Gasparini, L. (2018). Educational inequality and intergenerational mobility in Latin America: A new database. Journal of Development Economics, 134, 329349. https://doi.org/10.1016/j.jdeveco.2018.05.016.CrossRefGoogle Scholar
Rabelo-Da-Ponte, F. D., Lima, F. M., Martinez-Aran, A., Kapczinski, F., Vieta, E., Rosa, A. R., … Czepielewski, L. S. (2020). Data-driven cognitive phenotypes in subjects with bipolar disorder and their clinical markers of severity. Psychological Medicine, 18. https://doi.org/10.1017/S0033291720003499.Google ScholarPubMed
Raudeberg, R., Iverson, L., Hammar, G., Å. (2019). Norms matter: U.S. Normative data under-estimate cognitive deficits in Norwegians with schizophrenia spectrum disorders. The Clinical Neuropsychologist, 33 (Suppl 1), 5874. https://doi.org/10.1080/13854046.2019.1590641.CrossRefGoogle ScholarPubMed
Reckziegel, R., Czepielewski, L. S., Hasse-Sousa, M., Martins, D. S., de Britto, M. J., de Lapa, C. O., … Gama, C. S. (2021). Heterogeneous trajectories in schizophrenia: Insights from neurodevelopment and neuroprogression models. Brazilian Journal of Psychiatry. https://doi.org/10.1590/1516-4446-2020-1670.Google Scholar
Richards, A. L., Pardiñas, A. F., Frizzati, A., Tansey, K. E., Lynham, A. J., Holmans, P., … Walters, J. T. R. (2020). The relationship between polygenic risk scores and cognition in schizophrenia. Schizophrenia Bulletin, 46(2), 336344. https://doi.org/10.1093/schbul/sbz061.Google ScholarPubMed
Schaefer, J., Giangrande, E., Weinberger, D. R., & Dickinson, D. (2013). The global cognitive impairment in schizophrenia: Consistent over decades and around the world. Schizophrenia Research, 150(1), 4250. https://doi.org/10.1016/j.schres.2013.07.009.CrossRefGoogle ScholarPubMed
Shattuck, E. C. (2019). A biocultural approach to psychiatric illnesses. Psychopharmacology, 236(10), 29232936. https://doi.org/10.1007/s00213-019-5178-7.CrossRefGoogle ScholarPubMed
Sheffield, J. M., Karcher, N. R., & Barch, D. M. (2018). Cognitive deficits in psychotic disorders: A lifespan perspective. Neuropsychology Review, 28(4), 509533. https://doi.org/10.1007/s11065-018-9388-2.CrossRefGoogle ScholarPubMed
Shmukler, A. B., Gurovich, I. Y., Agius, M., & Zaytseva, Y. (2015). Long-term trajectories of cognitive deficits in schizophrenia: A critical overview. European Psychiatry, 30(8), 10021010. https://doi.org/10.1016/j.eurpsy.2015.08.005.CrossRefGoogle ScholarPubMed
Solís-Vivanco, R., Rangel-Hassey, F., León-Ortiz, P., Mondragón-Maya, A., Reyes-Madrigal, F., & de la Fuente-Sandoval, C. (2020). Cognitive impairment in never-medicated individuals on the schizophrenia spectrum. JAMA Psychiatry, 77(5), 543. https://doi.org/10.1001/jamapsychiatry.2020.0001.CrossRefGoogle ScholarPubMed
Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society: JINS, 8(3), 448460. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/11939702.CrossRefGoogle ScholarPubMed
Szöke, A., Trandafir, A., Dupont, M.-E., Méary, A., Schürhoff, F., & Leboyer, M. (2008). Longitudinal studies of cognition in schizophrenia: Meta-analysis. British Journal of Psychiatry, 192(4), 248257. https://doi.org/10.1192/bjp.bp.106.029009.CrossRefGoogle ScholarPubMed
United Nations. (2018). 2018 Revision of World Urbanization Prospects. Retrieved 7 July 2020, from https://population.un.org/wup/.CrossRefGoogle Scholar
Van Rheenen, T. E., Cropley, V., Fagerlund, B., Wannan, C., Bruggemann, J., Lenroot, R. K., … Pantelis, C. (2020). Cognitive reserve attenuates age-related cognitive decline in the context of putatively accelerated brain ageing in schizophrenia-spectrum disorders. Psychological Medicine, 50(9), 14751489. https://doi.org/10.1017/S0033291719001417.CrossRefGoogle ScholarPubMed
Ventura, J., Hellemann, G. S., Thames, A. D., Koellner, V., & Nuechterlein, K. H. (2009). Symptoms as mediators of the relationship between neurocognition and functional outcome in schizophrenia: A meta-analysis. Schizophrenia Research, 113(2–3), 189199. https://doi.org/10.1016/j.schres.2009.03.035.CrossRefGoogle ScholarPubMed
Ventura, J., Thames, A. D., Wood, R. C., Guzik, L. H., & Hellemann, G. S. (2010). Disorganization and reality distortion in schizophrenia: A meta-analysis of the relationship between positive symptoms and neurocognitive deficits. Schizophrenia Research, 121(1–3), 114. https://doi.org/10.1016/j.schres.2010.05.033.CrossRefGoogle ScholarPubMed
Wells, R., Jacomb, I., Swaminathan, V., Sundram, S., Weinberg, D., Bruggemann, J., … Weickert, T. W. (2020). The impact of childhood adversity on cognitive development in schizophrenia. Schizophrenia Bulletin, 46(1), 140153. https://doi.org/10.1093/schbul/sbz033.CrossRefGoogle Scholar
World Bank. (2019). Population, total − Latin America & Caribbean, World.Google Scholar
World Bank. (n.d.). Poverty and Inequality. Retrieved 7 July 2020, from http://datatopics.worldbank.org/world-development-indicators/themes/poverty-and-inequality.html.Google Scholar
Yang, L. H., Ruiz, B., Mandavia, A. D., Grivel, M. M., Wong, L. Y., Phillips, M. R., … Stone, W. S. (2020). Advancing study of cognitive impairments for antipsychotic-naïve psychosis comparing high-income versus low- and middle-income countries with a focus on urban China: Systematic review of cognition and study methodology. Schizophrenia Research, 220, 115. https://doi.org/10.1016/j.schres.2020.01.026.CrossRefGoogle ScholarPubMed
Yeo, R. A., Martinez, D., Pommy, J., Ehrlich, S., Schulz, S. C., Ho, B.-C., … Calhoun, V. D. (2014). The impact of parent socio-economic status on executive functioning and cortical morphology in individuals with schizophrenia and healthy controls. Psychological Medicine, 44(6), 12571265. https://doi.org/10.1017/S0033291713001608.CrossRefGoogle ScholarPubMed
Zanelli, J., Mollon, J., Sandin, S., Morgan, C., Dazzan, P., Pilecka, I., … Reichenberg, A. (2019). Cognitive change in schizophrenia and other psychoses in the decade following the first episode. American Journal of Psychiatry, 176(10), 811819. https://doi.org/10.1176/appi.ajp.2019.18091088.CrossRefGoogle ScholarPubMed
Supplementary material: File

Czepielewski et al. supplementary material

Czepielewski et al. supplementary material 1

Download Czepielewski et al. supplementary material(File)
File 64 KB
Supplementary material: File

Czepielewski et al. supplementary material

Czepielewski et al. supplementary material 2

Download Czepielewski et al. supplementary material(File)
File 46.6 KB
Supplementary material: File

Czepielewski et al. supplementary material

Czepielewski et al. supplementary material 3

Download Czepielewski et al. supplementary material(File)
File 323.6 KB