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A Meta-Analysis of Interventions to Reduce Loneliness:

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TLDR
An integrative meta-analysis of loneliness reduction interventions was conducted to quantify the effects of each strategy and to examine the potential role of moderator variables, and revealed that single-group pre-post and nonrandomized comparison studies yielded larger mean effect sizes relative to randomized comparison studies.
Abstract
Social and demographic trends are placing an increasing number of adults at risk for loneliness, an established risk factor for physical and mental illness. The growing costs of loneliness have led to a number of loneliness reduction interventions. Qualitative reviews have identified four primary intervention strategies: (a) improving social skills, (b) enhancing social support, (c) increasing opportunities for social contact, and (d) addressing maladaptive social cognition. An integrative meta-analysis of loneliness reduction interventions was conducted to quantify the effects of each strategy and to examine the potential role of moderator variables. Results revealed that single-group pre-post and nonrandomized comparison studies yielded larger mean effect sizes relative to randomized comparison studies. Among studies that used the latter design, the most successful interventions addressed maladaptive social cognition. This is consistent with current theories regarding loneliness and its etiology. Theoretical and methodological issues associated with designing new loneliness reduction interventions are discussed.

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Can an online curriculum improve the daily socio-emotional lives of middle-aged adults exposed to childhood Trauma?

TL;DR: Light is shed on the potential reversibility of socio-emotional mechanisms linking childhood trauma to poorer mental and physical health in midlife, and the utility of widely accessible, low-cost intervention methods for individuals and communities are supported.
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Longitudinal associations of stressful life events and social support deficits with later functioning in patients with acute coronary syndrome: Social factors for functioning in ACS

TL;DR: SLEs and SSD at an early phase of ACS predicted chronically poorer functioning and QoL outcomes, and preventive and therapeutic efforts should include strategies to identify and manage psychosocial risk factors in ACS patients.
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Lonely But Not Alone: Neuroticism Mediates the Relationship Between Social Network Size and Loneliness in Individuals With Traumatic Brain Injury.

TL;DR: The findings show that neuroticism is an intervening variable in the relationship between social network size and self-perception of loneliness in individuals with moderate-to-severe TBI, and presents a new possible target for clinicians and rehabilitators seeking to address reports of loneliness and social isolation in TBI.
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Feelings of Loneliness among School Principals: Experiences, Causes and Copying Strategies.

TL;DR: This paper explored principals' perceptions of their own loneliness and their styles of coping with it and posed two questions: (1) How do school principals experience the personal loneliness and how do they cope with it?
Journal ArticleDOI

Understanding the psychological drivers of loneliness: the first step towards developing more effective psychosocial interventions

TL;DR: In this article, the authors outline the need to develop a more balanced approach to addressing the loneliness experience by older people by recognising the psychological and emotional dynamics which cause it and propose a more holistic psychosocial approach to loneliness.
References
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Clinical significance: a statistical approach to defining meaningful change in psychotherapy research.

TL;DR: In this paper, the authors defined clinically significant change as the extent to which therapy moves someone outside the range of the dysfunctional population or within the ranges of the functional population, and proposed a reliable change index (RC) to determine whether the magnitude of change for a given client is statistically reliable.
Book

Practical Meta-Analysis

TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.
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