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Original Study
| Published: December 31, 2023
Assertiveness and Emotional Intelligence Predict Perinatal Depression
Department of Psychology, University of Nigeria, Nsukka Google Scholar More about the auther
Department of Psychology, University of Nigeria, Nsukka Google Scholar More about the auther
Department of Nursing, Enugu State University of Science and Technology Google Scholar More about the auther
DIP: 18.01.255.20231104
DOI: 10.25215/1104.255
ABSTRACT
Perinatal depression has been linked to some risk factors, including social-skill deficit and emotion-related challenges. However, studies investigating social skills and emotional issues in perinatal depression are scarce. The present study examined the predictive roles of Assertiveness and Emotional Intelligence in perinatal depression among 302 women drawn from Nigeria. The participants have a mean age of 29.14 years. Data were collected using the Assertive Behaviour Inventory-Assertive Behavior sub-scale, the Brief Emotional Intelligence Scale and Perinatal Depression Inventory. The study design was cross-sectional, and the results show that assertiveness (β = -.12, t = -2.12, p<.05) and emotional intelligence (β = -.14, t = -2.50, p<.05) negatively predicted Perinatal depression. The findings of this study identified Assertiveness and Emotional intelligence as factors to decrease Perinatal depression in women. Therefore, necessary training is given to pregnant women as part of pregnancy mental health care to boost their social and emotional astuteness.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2023, Immanuel, E.U., Okeke, C.P.& Udeh, C.A.
Received: October 14, 2023; Revision Received: December 27, 2023; Accepted: December 31, 2023
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.255.20231104
10.25215/1104.255
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Published in Volume 11, Issue 4, October-December, 2023