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Community identification, social support, and loneliness: The benefits of social identification for personal well-being.

ABSTRACT: Levels of loneliness across the world have reached epidemic proportions, and their impact upon population health is increasingly apparent. In response, policies and initiatives have attempted to reduce loneliness by targeting social isolation among residents of local communities. Yet, little is known about the social psychological processes underpinning the relationships between community belonging, loneliness, and well-being. We report three studies which apply the Social Identity Approach to Health to examine the mechanisms underpinning the relationships between community identity, health, and loneliness. Hypotheses were tested through secondary analyses of the 2014-2015 UK Community Life Survey (N = 4,314) as well as bespoke household surveys in a more (N = 408) and less (N = 143) affluent community at high risk of loneliness. Studies 1 and 2a demonstrated that the relationship between community identification and well-being was mediated by increased social support and reduced loneliness. In Study 2b, community identification predicted well-being through reduced loneliness, but not through social support. Our results are the first to evidence these relationships and suggest that community-level interventions that enhance community identification and peer support can promote a potential Social Cure for loneliness.

SUBMITTER: McNamara N

PROVIDER: S-EPMC8518584 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Community identification, social support, and loneliness: The benefits of social identification for personal well-being.

McNamara Niamh N Stevenson Clifford C Costa Sebastiano S Bowe Mhairi M Wakefield Juliet J Kellezi Blerina B Wilson Iain I Halder Moon M Mair Elizabeth E

The British journal of social psychology 20210504 4

Levels of loneliness across the world have reached epidemic proportions, and their impact upon population health is increasingly apparent. In response, policies and initiatives have attempted to reduce loneliness by targeting social isolation among residents of local communities. Yet, little is known about the social psychological processes underpinning the relationships between community belonging, loneliness, and well-being. We report three studies which apply the Social Identity Approach to H ...[more]

PMID: 33942319

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Project description:BackgroundThe increasing integration of digital technologies into daily life has spurred a growing body of research in the field of digital psychology. This research has shed light on the potential benefits and drawbacks of digital technologies for mental health and well-being. However, the intricate relationship between technology and psychology remains largely unexplored.PurposeThis study aimed to investigate the impact of mindfulness-based mobile apps on university students' anxiety, loneliness, and well-being. Additionally, it sought to explore participants' perceptions of the addictiveness of these apps.MethodThe research utilized a multi-phase approach, encompassing a correlational research method, a pretest-posttest randomized controlled trial, and a qualitative case study. Participants were segmented into three subsets: correlations (n = 300), treatment (n = 60), and qualitative (n = 20). Data were gathered from various sources, including the social anxiety scale, well-being scale, social media use integration scale, and an interview checklist. Quantitative data was analyzed using Pearson correlation, multiple regression, and t-tests, while qualitative data underwent thematic analysis.ResultsThe study uncovered a significant correlation between social media use and the variables under investigation. Moreover, the treatment involving mindfulness-based mobile apps led to a reduction in students' anxiety and an enhancement of their well-being. Notably, participants held various positive perceptions regarding the use of these apps.ImplicationsThe findings of this research hold both theoretical and practical significance for the field of digital psychology. They provide insight into the potential of mindfulness-based mobile apps to positively impact university students' mental health and well-being. Additionally, the study underscores the need for further exploration of the intricate dynamics between technology and psychology in an increasingly digital world.

Project description:This study examines the potential of AI-powered personal voice assistants (PVAs) in reducing loneliness and increasing social support among older adults. With the aging population rapidly expanding, innovative solutions are essential. Prior research has indicated the effectiveness of various interactive communication technologies (ICTs) in mitigating loneliness, but studies focusing on PVAs, particularly considering their modality (audio vs. video), are limited. This research aims to fill this gap by evaluating how voice assistants, in both audio and video formats, influence perceived loneliness and social support. This study examined the impact of voice assistant technology (VAT) interventions, both audio-based (A-VAT) and video-based (V-VAT), on perceived loneliness and social support among 34 older adults living alone. Over three months, participants engaged with Amazon Alexa™ PVA through daily routines for at least 30 min. Using a hybrid natural language processing framework, interactions were analyzed. The results showed reductions in loneliness (Z = -2.99, p < 0.01; pre-study loneliness mean = 1.85, SD = 0.61; post-study loneliness mean = 1.65, SD = 0.57), increases in social support post intervention (Z = -2.23, p < 0.05; pre-study social support mean = 5.44, SD = 1.05; post-study loneliness mean = 5.65, SD = 1.20), and a correlation between increased social support and loneliness reduction when the two conditions are combined (ρ = -0.39, p < 0.05). In addition, V-VAT was more effective than A-VAT in reducing loneliness (U = 85.50, p < 0.05) and increasing social support (U = 95, p < 0.05). However, no significant correlation between changes in perceived social support and changes in perceived loneliness was observed in either intervention condition (V-VAT condition: ρ = -0.24, p = 0.37; A-VAT condition: ρ = -0.46, p = 0.06). This study's findings could significantly contribute to developing targeted interventions for improving the well-being of aging adults, addressing a critical global issue.

Dataset Information

Community identification, social support, and loneliness: The benefits of social identification for personal well-being.

Publications

Community identification, social support, and loneliness: The benefits of social identification for personal well-being.

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