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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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Unpacking the layers: a meta-ethnography of cancer survivors' loneliness.

TL;DR: This meta-ethnography presents an integrated framework of loneliness in cancer survivors as a multi-layered experience that adds missing pieces to the loneliness puzzle by encouraging assessment and intervention at interacting levels of functioning.
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The long and winding road to happiness : A randomized controlled trial and cost-effectiveness analysis of a positive psychology intervention for lonely people with health problems and a low socio-economic status

TL;DR: Mental health status of both groups improved considerably and the results of the cost-effectiveness analysis suggested that the Happiness Route is an acceptable intervention from a health-economic point of view.
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Perceived social support, loneliness, and later life telomere length following wartime captivity.

TL;DR: This is the first study to empirically demonstrate that loneliness and lack of perceived social support in early adulthood may be associated with shorter TL during transition to old age in a population that has endured extreme stress.
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A Pilot Randomized Trial of Engage Psychotherapy to Increase Social Connection and Reduce Suicide Risk in Later Life.

TL;DR: Social Engage did not show preliminary evidence of impact on belonging or perceived burden but was effective in reducing depressive symptoms and improving social-emotional quality of life and depressive symptoms.
Journal ArticleDOI

Ethnic Differences in Loneliness, Depression, and Malnutrition Among Older Adults During COVID-19 Quarantine

TL;DR: The relationship between loneliness feelings and depressive symptoms was mediated by malnutrition and Arab older adults reported a higher level than Jewish older adults of loneliness, depression, and malnutrition during the Covid-19 pandemic quarantine.
References
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The need to belong: Desire for interpersonal attachments as a fundamental human motivation.

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Journal ArticleDOI

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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