6 results on '"Bowe, Mhairi"'
Search Results
2. Community identification, social support, and loneliness: The benefits of social identification for personal well-being.
- Author
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McNamara N, Stevenson C, Costa S, Bowe M, Wakefield J, Kellezi B, Wilson I, Halder M, and Mair E
- Subjects
- Humans, Personal Satisfaction, Social Isolation, Social Support, Loneliness, Social Identification
- 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., (© 2021 The Authors. British Journal of Social Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.)
- Published
- 2021
- Full Text
- View/download PDF
3. Evaluation and exploration of a social prescribing initiative: Study protocol.
- Author
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Halder MM, Wakefield JR, Bowe M, Kellezi B, Mair E, McNamara N, Wilson I, and Stevenson C
- Subjects
- Humans, Loneliness, Social Support
- Abstract
Attention is being given to healthcare initiatives with the potential to save money and improve lives. One example is social prescribing, which supports patients whose ill-health is exacerbated by loneliness. While evidence has accumulated attesting to social prescribing's efficacy, one limitation has been the lack of a theoretical framework, which limits understanding of how tackling loneliness improves health. In our evaluation of a social prescribing pathway, we adopt a 'Social Cure' approach, which posits that social relations affect health. Our study will evaluate the efficacy of the pathway and determine the extent to which group processes are responsible for health improvements.
- Published
- 2021
- Full Text
- View/download PDF
4. Longitudinal associations between family identification, loneliness, depression, and sleep quality.
- Author
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Wakefield JRH, Bowe M, Kellezi B, Butcher A, and Groeger JA
- Subjects
- Adolescent, Adult, Aged, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Male, Middle Aged, Sleep, Surveys and Questionnaires, Young Adult, Depressive Disorder complications, Depressive Disorder psychology, Family psychology, Loneliness psychology, Sleep Initiation and Maintenance Disorders complications, Sleep Initiation and Maintenance Disorders psychology
- Abstract
Objectives: The prevalence of depression and loneliness is increasing in Western nations, and both have been shown to cause poor sleep quality, with evidence suggesting that loneliness also predicts depression. The Social Cure perspective can shed light on these relationships and thus informs the present study. Specifically, it was hypothesized that the extent of participants' identification with a significant social group, their family, would positively predict sleep quality and that this relationship would be mediated by loneliness and depression., Design: A two-lave longitudinal online survey was used., Methods: Participants completed an online survey at T1 (N = 387) and 1 year later at T2 (N = 122) assessing the extent to which they identified with their family. Their loneliness, depressive symptomology, and sleep quality/insomnia severity were also measured., Results: Consistent with predictions, cross-sectional and longitudinal serial mediation models indicated that family identification was a negative predictor of loneliness, which in turn was a positive predictor of depression, which predicted poor sleep quality/insomnia., Conclusions: This is the first Social Cure study to explore the mediated relationship between social identification and sleep quality. As well as advancing the Social Cure perspective, these results have implications for how health professionals understand, prevent, and treat sleep problems. Statement of contribution What is already known on this subject? The prevalence of depression and loneliness is increasing in Western nations, and both have been shown to cause poor sleep quality. Weak social networks have been shown to predict restless sleep over time, and that depressed mood mediates this relationship. What does this study add? Family identification negatively predicted poor sleep quality cross-sectionally. Depression and loneliness positively predicted poor sleep quality over time. Depression and loneliness mediated the family identification-sleep quality relationship over time., (© 2019 The British Psychological Society.)
- Published
- 2020
- Full Text
- View/download PDF
5. Tackling loneliness together: A three-tier social identity framework for social prescribing.
- Author
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Haslam, S. Alexander, Haslam, Catherine, Cruwys, Tegan, Sharman, Leah S., Hayes, Shaun, Walter, Zoe, Jetten, Jolanda, Steffens, Niklas K., Cardona, Magnolia, La Rue, Crystal J., McNamara, Niamh, Këllezi, Blerina, Wakefield, Juliet R. H., Stevenson, Clifford, Bowe, Mhairi, McEvoy, Peter, Robertson, Alysia M., Tarrant, Mark, Dingle, Genevieve, and Young, Tarli
- Subjects
THERAPEUTIC alliance ,MEDICAL personnel ,GROUP identity ,GENERAL practitioners ,INFRASTRUCTURE (Economics) ,LONELINESS - Abstract
In recent years, there has been growing recognition of the threats to health posed by loneliness. One of the main strategies that has been recommended to address this is social prescribing (SP). This typically involves general practitioners (GPs) and other health practitioners directing clients who are experiencing loneliness and related conditions to take part in social activities—typically in recreational and community contexts. However, evidence for the effectiveness of SP is mixed—leading some to suggest that enthusiasm for it might be misplaced. In this review, we argue that a core problem with most existing approaches to SP is that they lack a strong theoretical base. This has been a barrier to (a) understanding when SP will work and why, (b) designing optimally effective SP programmes, and (c) developing practitioner skills and appropriate infrastructure to support them. As a corrective to this state of affairs, this review outlines a three-tier social identity framework for SP and five associated hypotheses. These hypotheses predict that SP will be more effective when (a) clients join groups and (b) these groups are ones with which they identify, and when SP is supported by (c) social-identity-enhancing social infrastructure, (d) a social-identity-based therapeutic alliance, and (e) identity leadership that builds and shapes this alliance as well as clients' identification with prescribed groups. This framework is supported by a range of evidence and provides an agenda for much-needed future research and practice. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
6. Brothers and sisters in arms: A mixed‐methods investigation of the roles played by military support and social identity processes in the mental health of veterans during the transition to veterancy.
- Author
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Wakefield, Juliet R. H., Bowe, Mhairi, Këllezi, Blerina, Haslam, Catherine, Bentley, Sarah V., Milani, Zara, Gair, Helen, and McIntosh, James S. A.
- Subjects
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LIFE change events , *WELL-being , *SOCIAL groups , *SOCIAL support , *COUNSELING , *ATTITUDE (Psychology) , *MILITARY medicine , *TRANSITIONAL care , *RESEARCH methodology , *MATHEMATICAL models , *SELF-perception , *MENTAL health , *GROUP identity , *FAMILIES of military personnel , *PSYCHOLOGY of veterans , *SURVEYS , *EXPERIENCE , *THEORY , *LONELINESS , *DESCRIPTIVE statistics , *MENTAL depression , *SOCIAL role change , *CONTROL (Psychology) - Abstract
The transition to veterancy can be psychologically challenging, and although the military provides support, the importance of social connectedness for well‐being is largely unrecognised. The significance of this oversight is highlighted by the Social Identity Model of Identity Change (SIMIC), which conceptualises life change as social identity change. SIMIC has been applied to numerous life transitions, but not to veterancy, although there is evidence that the social and psychological challenges of this transition may be especially profound (e.g., due to the chronically salient, highly structured and largely unique nature of military life and identity). To remedy this, in Study 1 (N = 210), UK‐based veterans completed an online survey. Consistent with SIMIC, social group maintenance and gain predicted mental health via the psychological resources they provided (meaning, self‐esteem, sense of personal control), and group gain was predicted by perceived military support during the transition. Study 2 (N = 14) extended these findings qualitatively through exploration of veterans' transition experiences. These studies are the first to apply aspects of the SIMIC to the veterancy transition, and they show the applicability of SIMIC in this context. They also highlight the need for transition‐related education that includes guidance on group joining and reconnecting. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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