Qualitative exploration of the lived experiences of loneliness in later life to inform technology development.


Journal

International journal of qualitative studies on health and well-being
ISSN: 1748-2631
Titre abrégé: Int J Qual Stud Health Well-being
Pays: United States
ID NLM: 101256506

Informations de publication

Date de publication:
Dec 2024
Historique:
medline: 21 9 2024
pubmed: 21 9 2024
entrez: 21 9 2024
Statut: ppublish

Résumé

Loneliness is a negative emotional state which is common in later life. The accumulative effects of loneliness have a significant impact on the physical and mental health of older adults. We aim to qualitatively explore the experiences of loneliness in later life and identify relevant behaviours and indicators which will inform novel methods of loneliness detection and intervention. We conducted 60 semi-structured interviews with people aged 65 and over between September 2022 and August 2023. Data were analysed using a reflective thematic approach with early theme development on NVIVO software. Three themes were identified from the experiences of loneliness in older adults. 1) Unique responses to loneliness, including crying, increased eating or drinking and sleep difficulties, 2) Age-related losses, such as networks, roles, and abilities to engage in activities reducing over time and 3) Individual differences in overcoming loneliness, where strategies such as keeping busy and adopting a positive mindset were impacted by motivation and mood of older adults. Distinct signs and relevant factors to loneliness in later life have been identified which can be detected by future sensing technologies. Findings of this in-depth qualitative study highlight that loneliness is a subjective experience requiring a holistic and person-centred approach to detection and intervention.

Identifiants

pubmed: 39305060
doi: 10.1080/17482631.2024.2398259
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2398259

Auteurs

Jessica Rees (J)

Department of Global Health and Social Medicine, King's College London, London, UK.

Wei Liu (W)

Department of Engineering, King's College London, London, UK.

Jiana Canson (J)

School of Psychology, University of Sussex, Falmer, UK.

Lynda Crosby (L)

School of Psychology, University of Sussex, Falmer, UK.

Anthea Tinker (A)

Department of Global Health and Social Medicine, King's College London, London, UK.

Freya Probst (F)

Department of Engineering, King's College London, London, UK.

Sebastien Ourselin (S)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Michela Antonelli (M)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Erika Molteni (E)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Nikitia Mexia (N)

School of Design, University of Leeds, Leeds, UK.

Yu Shi (Y)

School of Design, University of Leeds, Leeds, UK.

Faith Matcham (F)

School of Psychology, University of Sussex, Falmer, UK.

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Classifications MeSH