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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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Grief literacy: A call to action for compassionate communities.

TL;DR: The concept of Grief Literacy is developed and vignettes to illustrate a grief literate society are presented to enhance the potential of the compassionate communities approach.
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Loneliness predicts self-reported cold symptoms after a viral challenge.

TL;DR: It is suggested that the perception of loneliness is more closely linked to self-reported illness symptoms than objectively measured social isolation, and psychosocial factors such as loneliness when treating and evaluating the common cold could contribute to health care practitioners’ understanding of their patients’ experiences with acute illness.
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The role of religion in protecting older Romanian migrants from loneliness

TL;DR: In this paper, the authors explore qualitatively how and to what extent religion protects older Romanian migrants from loneliness, based on fieldwork research in two Swiss cantons and in neighbouring France among 30 Romanian migrants aged 57+.
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Original Research: Loneliness and Quality of Life in Chronically Ill Rural Older Adults

TL;DR: Nurses should assess for loneliness as part of their comprehensive assessment of patients with chronic illness and test interventions for loneliness, according to the University of California, Los Angeles Loneliness Scale and CASP-12 quality of life scale.
References
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Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

The need to belong: Desire for interpersonal attachments as a fundamental human motivation.

TL;DR: Existing evidence supports the hypothesis that the need to belong is a powerful, fundamental, and extremely pervasive motivation, and people form social attachments readily under most conditions and resist the dissolution of existing bonds.
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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