Loneliness As Predictor Of Depression Among Unemployed

Mehfooz Ahmad () and Aqeel Khan
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Mehfooz Ahmad: RCI licensed Clinical Psychologist, Bijnor, UP 246701
Aqeel Khan: School of Education, Universiti Teknologi Malaysia (UTM), Skudai, 81310, Johor, Malaysia.

Education, Sustainability & Society (ESS), 2019, vol. 2, issue 1, 12-15

Abstract: Researches have shown that the unemployed have significantly higher ‘psychological distress. Loneliness has been associated with many negative mental health outcomes such as depression, suicidality, reduced positive emotions, poor sleep quality and general health, as well as physiological changes. Lonely people have indicated that they are less happy, less satisfied, more pessimistic, and suffer from more depressive symptoms. The aim of present study was to examine loneliness as predictor of depression among unemployed. The scale of loneliness and Beck Depression Inventory II were administered on 68 unemployed participants age ranging from 20-35 years in Bijnor, Uttar Pradesh. Multiple Regression analysis was done for the analysis of data. Results revealed that loneliness significantly predict depression among unemployed.

Keywords: loneliness; depression; unemployed (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbness:v:2:y:2019:i:1:p:12-15

DOI: 10.26480/ess.01.2019.12.15

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