IDEAS home Printed from https://ideas.repec.org/a/sae/socpsy/v65y2019i1p56-63.html
   My bibliography  Save this article

Expressed emotion and socio-demographic and clinical factors in families of Brazilian patients with schizophrenia

Author

Listed:
  • Ana Carolina Guidorizzi Zanetti
  • Kelly Graziani Giacchero Vedana
  • Camila Corrêa Matias Pereira
  • João Mazzoncini de Azevedo Marques
  • Amanda Heloisa Santana da Silva
  • Isabela dos Santos Martin
  • Rosana Aparecida Spadoti Dantas
  • Jacqueline de Souza
  • Sueli Aparecida Frari Galera
  • Edilaine Cristina da Silva Gherardi-Donato

Abstract

Background: Families are the main caregivers of people with schizophrenia. Family dynamic and expressed emotion (EE) of relatives are fundamental determinants on the course of schizophrenia. Method: This study analyzed socio-demographic and clinical factors related to EE components. A total of 94 dyads (patients with schizophrenia and their relatives) were recruited from three mental health clinics. A form containing socio-demographic and clinical variables and the Brazilian version of Family Questionnaire were used and the data were analyzed through regression model. Results: Results showed that factors such as patients’ occupation status and patients’ age, as well as relatives’ gender and the degree of relatedness, were related to emotional overinvolvement and critical comments levels. Conclusion: This is the first study in the Brazilian cultural context that evaluates EE components and related factors on families of patients with schizophrenia. Other studies concerning EE on different cultural contexts and possible interventions must be carried out to help health professionals to improve patient and family care.

Suggested Citation

  • Ana Carolina Guidorizzi Zanetti & Kelly Graziani Giacchero Vedana & Camila Corrêa Matias Pereira & João Mazzoncini de Azevedo Marques & Amanda Heloisa Santana da Silva & Isabela dos Santos Martin & , 2019. "Expressed emotion and socio-demographic and clinical factors in families of Brazilian patients with schizophrenia," International Journal of Social Psychiatry, , vol. 65(1), pages 56-63, February.
  • Handle: RePEc:sae:socpsy:v:65:y:2019:i:1:p:56-63
    DOI: 10.1177/0020764018815207
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0020764018815207
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0020764018815207?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stasinopoulos, D. Mikis & Rigby, Robert A., 2007. "Generalized Additive Models for Location Scale and Shape (GAMLSS) in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i07).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yixuan Wang & Jianzhu Li & Ping Feng & Rong Hu, 2015. "A Time-Dependent Drought Index for Non-Stationary Precipitation Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5631-5647, December.
    2. Panayi, Efstathios & Peters, Gareth W. & Danielsson, Jon & Zigrand, Jean-Pierre, 2018. "Designating market maker behaviour in limit order book markets," Econometrics and Statistics, Elsevier, vol. 5(C), pages 20-44.
    3. Gauss Cordeiro & Josemar Rodrigues & Mário Castro, 2012. "The exponential COM-Poisson distribution," Statistical Papers, Springer, vol. 53(3), pages 653-664, August.
    4. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    5. Matteo Malavasi & Gareth W. Peters & Pavel V. Shevchenko & Stefan Truck & Jiwook Jang & Georgy Sofronov, 2021. "Cyber Risk Frequency, Severity and Insurance Viability," Papers 2111.03366, arXiv.org, revised Mar 2022.
    6. Tong, Edward N.C. & Mues, Christophe & Thomas, Lyn, 2013. "A zero-adjusted gamma model for mortgage loan loss given default," International Journal of Forecasting, Elsevier, vol. 29(4), pages 548-562.
    7. Alexander, Carol & Cordeiro, Gauss M. & Ortega, Edwin M.M. & Sarabia, José María, 2012. "Generalized beta-generated distributions," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1880-1897.
    8. Pinho, Luis Gustavo B. & Nobre, Juvêncio S. & Singer, Julio M., 2015. "Cook’s distance for generalized linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 126-136.
    9. Zhang, Peng & Qiu, Zhenguo & Shi, Chengchun, 2016. "simplexreg: an R package for regression analysis of proportional data using the simplex distribution," LSE Research Online Documents on Economics 102115, London School of Economics and Political Science, LSE Library.
    10. Hofner, Benjamin & Mayr, Andreas & Schmid, Matthias, 2016. "gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i01).
    11. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2617-2646, July.
    12. Helske, Jouni, 2017. "KFAS: Exponential Family State Space Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 78(i10).
    13. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
    14. Stefan Seidel & Peter Dal-Bianco & Eleonore Pablik & Nina Müller & Claudia Schadenhofer & Claus Lamm & Gerhard Klösch & Doris Moser & Stefanie Klug & Gisela Pusswald & Eduard Auff & Johann Lehrner, 2015. "Depressive Symptoms are the Main Predictor for Subjective Sleep Quality in Patients with Mild Cognitive Impairment—A Controlled Study," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
    15. Schmidt, Rouven & Kneib, Thomas, 2023. "Multivariate distributional stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    16. I. Gijbels & I. Prosdocimi & G. Claeskens, 2010. "Nonparametric estimation of mean and dispersion functions in extended generalized linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(3), pages 580-608, November.
    17. Fábio Prataviera & Aline Martineli Batista & Edwin M. M. Ortega & Gauss M. Cordeiro & Bruno Montoani Silva, 2023. "The Logit Exponentiated Power Exponential Regression with Applications," Annals of Data Science, Springer, vol. 10(3), pages 713-735, June.
    18. Shinsuke Ohnuki & Yoshikazu Ohya, 2018. "High-dimensional single-cell phenotyping reveals extensive haploinsufficiency," PLOS Biology, Public Library of Science, vol. 16(5), pages 1-23, May.
    19. Simon Hirsch & Florian Ziel, 2022. "Simulation-based Forecasting for Intraday Power Markets: Modelling Fundamental Drivers for Location, Shape and Scale of the Price Distribution," Papers 2211.13002, arXiv.org.
    20. Groll, Andreas & Hambuckers, Julien & Kneib, Thomas & Umlauf, Nikolaus, 2019. "LASSO-type penalization in the framework of generalized additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, vol. 140(C), pages 59-73.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:socpsy:v:65:y:2019:i:1:p:56-63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.