Prediction of mental health and resilience of mothers with slow- paced child based on cognitive flexibility

Document Type : Original Article

Authors

1 Assistant Professor of Psychology and Special Education. Faculty of Psychology and Education, Allameh Tabataba'i University Tehran, Iran

2 PhD Student of Psychology and Special Education. Faculty of Psychology and Education, Allameh Tabataba'i University Tehran, Iran.

Abstract

The purpose of study was to predict mental health and resilience of mothers with slow- paced girl child based on cognitive flexibility. The research method was correlative and causal-comparative. The statistical population of study consisted of all mothers of girl children with slow- paced whose children were educating in exceptional schools in 2019-2020 in Tehran. By using purposive sampling 119 mothers were selected. The criteria for mothers to enter this study were having a slow - paced girl (with definitive diagnosis of educable and is studying at an exceptional school) and having a minimum literacy for mothers to complete the questionnaires. To collect data, the cognitive flexibility (CFI), mental health (GHQ) and resilience (CD-RISC) questionnaires were used and these questionnaires were completed by mothers. For data analysis multiple regression was used. Data were analyzed by using SPSS software 21 version. The results have indicated a correlation between cognitive flexibility and mental health, also between cognitive flexibility and resilience (p<0/01). According to the findings of the present study on the importance of the role of cognitive flexibility as an effective and key factor in the mental health of mothers with slow- paced child, designing and implementing intervention programs based on cognitive flexibility components can increase mental health and promote mother's resilience.

Keywords

References

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Empowering Exceptional Children
Volume 12, Issue 1
June 2021
Pages 12-20

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History

  • Receive Date: 24 September 2020
  • Revise Date: 11 October 2020
  • Accept Date: 21 November 2020

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