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Open AccessJournal ArticleDOI

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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Does it Make a Difference? The Effects of Volunteering from the Viewpoint of Recipients – A Literature Review

TL;DR: In this paper, a literature search for academic articles concerning the effects of volunteering using several databases and selected journals (e.g., NVSQ, Voluntas) was conducted.
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Managing Perceived Loneliness and Social-Isolation Levels for Older Adults: A Survey with Focus on Wearables-Based Solutions

TL;DR: This work combines a cross-disciplinary survey of the literature in the four aforementioned domains with a proposed wearable-based technological solution, introduced first as a generic framework and exemplified through a simple proof-of-concept mechanism, an approach based on machine learning for predicting and estimating loneliness levels.
Book ChapterDOI

Validation of a Computational Model for Mood and Social Integration

TL;DR: A computational model that can be used for analyzing and predicating the mood level of individuals by taking into account the social integration, the participation in social activities and the enjoyableness of those activities is presented.
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Intersectional social identities and loneliness: Evidence from a municipality in Switzerland

TL;DR: In this article , the authors examined the extent to which intersectional social identities combine to shape risks of loneliness and identified the specific social clusters that are most at risk of loneliness for more precise and targeted interventions to reduce loneliness in a Swiss municipality.
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Using Theories of Behavior Change to Develop Interventions for Healthy Aging.

TL;DR: In this paper, the authors introduce theoretical frameworks from the psychology of motivation that lend themselves to the development of effective interventions promoting behavior change conducive to healthy aging, and consider the implications of the various theories for designing interventions to support healthy aging.
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.

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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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