The Relationships Between Loneliness, Emotional Intelligence, and Depression Among Turkish Emerging Adults: A Moderated Moderation Model in the Gender Context.

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Title: The Relationships Between Loneliness, Emotional Intelligence, and Depression Among Turkish Emerging Adults: A Moderated Moderation Model in the Gender Context.
Authors: Karababa, Ali (AUTHOR)
Source: International Journal of Psychology. Apr2025, Vol. 60 Issue 2, p1-10. 10p.
Subjects: Transition to adulthood, Young adults, Emotional intelligence, Loneliness, Gender, Mental depression
Abstract: Loneliness is a common public health problem that can influence individuals' depression outcomes. The incidence of loneliness among emerging adults is high. From this perspective, this study would serve two primary aims in Turkish emerging adults. The first was to examine the moderating effect of emotional intelligence on the relationship between loneliness and depression. The second was to test whether gender moderated this moderating effect. The study sample consisted of 456 (213 females and 243 males) university‐attending emerging adults, 18–25 years old. Firstly, the findings demonstrated that loneliness was positively associated with depression. Secondly, the results showed that emotional intelligence moderated the relationship between loneliness and depression, indicating that high emotional intelligence functioned as a buffer for the contribution of loneliness to depression. In contrast, higher levels of loneliness were significantly associated with a greater risk of depression among emerging adults with low or moderate emotional intelligence. Lastly, gender did not moderate the moderating effect of emotional intelligence on the relationship between loneliness and depression. This study concluded with limitations, recommendations for future research, and practical and theoretical implications for practitioners. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The Relationships Between Loneliness, Emotional Intelligence, and Depression Among Turkish Emerging Adults: A Moderated Moderation Model in the Gender Context.
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  Data: <searchLink fieldCode="AR" term="%22Karababa%2C+Ali%22">Karababa, Ali</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Psychology%22">International Journal of Psychology</searchLink>. Apr2025, Vol. 60 Issue 2, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Transition+to+adulthood%22">Transition to adulthood</searchLink><br /><searchLink fieldCode="DE" term="%22Young+adults%22">Young adults</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+intelligence%22">Emotional intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Loneliness%22">Loneliness</searchLink><br /><searchLink fieldCode="DE" term="%22Gender%22">Gender</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Loneliness is a common public health problem that can influence individuals' depression outcomes. The incidence of loneliness among emerging adults is high. From this perspective, this study would serve two primary aims in Turkish emerging adults. The first was to examine the moderating effect of emotional intelligence on the relationship between loneliness and depression. The second was to test whether gender moderated this moderating effect. The study sample consisted of 456 (213 females and 243 males) university‐attending emerging adults, 18–25 years old. Firstly, the findings demonstrated that loneliness was positively associated with depression. Secondly, the results showed that emotional intelligence moderated the relationship between loneliness and depression, indicating that high emotional intelligence functioned as a buffer for the contribution of loneliness to depression. In contrast, higher levels of loneliness were significantly associated with a greater risk of depression among emerging adults with low or moderate emotional intelligence. Lastly, gender did not moderate the moderating effect of emotional intelligence on the relationship between loneliness and depression. This study concluded with limitations, recommendations for future research, and practical and theoretical implications for practitioners. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/ijop.70034
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Transition to adulthood
        Type: general
      – SubjectFull: Young adults
        Type: general
      – SubjectFull: Emotional intelligence
        Type: general
      – SubjectFull: Loneliness
        Type: general
      – SubjectFull: Gender
        Type: general
      – SubjectFull: Mental depression
        Type: general
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      – TitleFull: The Relationships Between Loneliness, Emotional Intelligence, and Depression Among Turkish Emerging Adults: A Moderated Moderation Model in the Gender Context.
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              Text: Apr2025
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