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Linking loneliness to depression: a dynamic perspective

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TLDR
In this article, the influence of change in loneliness on the experience of depression among the students in a business school in India was explored and whether such linkage depends on individual personality factors.
Abstract
Purpose The purpose of this paper is to understand the influence of change in loneliness on the experience of depression among the students in a business school in India. Building on the literature, the authors argued the dynamic nature of loneliness and depression and subsequently explored the linkage between change in loneliness and associated change in the experience of depression. Further, the purpose is also to explore whether such linkage depends on individual personality factors. Design/methodology/approach The present study is part of a bigger study that employed a longitudinal survey design. Data were collected in two phases with a six-month time lag between the phases. Data were initially collected in July 2014, and again with all measures repeated in January, 2015. Data were collected from two sections from the undergraduate program participants at one of the reputed institutions in India. Demographic variables such as gender, number of siblings, and family type (nuclear family or joint family) were collected. The authors controlled for age and qualification as all the students have the same qualification and almost all of them were in the same age group. All these variables were controlled due to their probable interference with the proposed theoretical model. Findings The findings reveal a significant role of loneliness on experience of depression and a moderating role of personality on the relationship. The linkage between change in loneliness and change in depression was found to be higher among those people who were high on extraversion. The findings clearly indicate that the impact of loneliness will be more as the need for attachment is high for individuals having higher extraversion. Research limitations/implications Further research may explore the role of neuroticism in the link between loneliness and depression. Practical implications The findings of this longitudinal study are very relevant for all the professional groups in the college/university setting. It is important for students as well as college authorities to understand the dynamic nature and relationship of loneliness and depression, as well as the role of personality factors. Routine monitoring as well as various educational programs may be included as regular components of campus culture. Even curriculum can also be fine-tuned. Various programs can be designed to improve interpersonal skills, cognitive understanding, and resolution of aversive emotions, as these college going students or buddying managers are more receptive to intervention programs. Originality/value The paper clearly reflects its originality. It adds value in the form of contribution to theoretical development as well as to various college authorities to handle students emotions effectively.

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Citations
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Personality and depressive symptoms: individual participant meta-analysis of 10 cohort studies

TL;DR: Personality is suggested to be a major risk factor for depression as mentioned in this paper, but large-scale individual participant meta-analyses on this topic are lacking, and no meta-analysis has been conducted to date.
Journal ArticleDOI

Fear of COVID-19, loneliness, smartphone addiction, and mental wellbeing among the Turkish general population: a serial mediation model

TL;DR: The novel coronavirus-2019 (COVID-19) pandemic has become a major health problem worldwide and the impact has also been associated with psychological and social problems.

Negative affectivity and responses to work stressors : an experimental study

TL;DR: The authors found that individuals with high levels of negative affectivity reported more post-task negative mood in response to high demand conditions, compared to participants with low affectivity, and that participants with high NA used more emotion-focused coping strategies.
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Social isolation: development and validation of measures

TL;DR: Ateniese et al. as mentioned in this paper proposed a ten-item social isolation scale based on theoretical and empirical investigation of the measures of social isolation, loneliness and related constructs such as social others, social loneliness and feeling of sociability.
References
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Journal ArticleDOI

The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.

TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

TL;DR: The CES-D scale as discussed by the authors is a short self-report scale designed to measure depressive symptomatology in the general population, which has been used in household interview surveys and in psychiatric settings.
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On the evaluation of structural equation models

TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
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Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, multiple regression is used to test and interpret multiple regression interactions in the context of multiple-agent networks. But it is not suitable for single-agent systems, as discussed in this paper.
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