Evidence map›Paper›PMID 39051252›Full record

ArticleGeriatrics (Basel, Switzerland)2024

Can We Steer Nursing Home Residents Away from Loneliness? A Qualitative Study of Cycling without Age.

Sara Kruse Lange, Maiken Hauge Stig, Martin Eghøj, Christina Bjørk Petersen

Abstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sara Kruse LangeThe Department of Sport Science and Clinical Biomechanics, University of Southern Denmark, 5230 Odense, Denmark.
Maiken Hauge StigNational Institute of Public Health, University of Southern Denmark, 1455 Copenhagen, Denmark.ORCID 0009-0005-1319-2157
Martin EghøjNational Institute of Public Health, University of Southern Denmark, 1455 Copenhagen, Denmark.ORCID 0000-0002-2773-5870
Christina Bjørk PetersenNational Institute of Public Health, University of Southern Denmark, 1455 Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness among nursing home residents is an increasing public health issue and consists of a combination of social, emotional, and existential loneliness. Cycling Without Age (CWA) involves taking nursing home residents on trishaw rides pedaled by trained volunteer 'pilots'. This study aims to explore nursing home residents' lived experiences of CWA and whether participation in CWA can mitigate experiences of loneliness.

methodsA qualitative phenomenological design was used. We conducted three observations and eight interviews: semi-structured interviews (n = 5) and informal interviews (n = 3) with passengers in CWA. Data were analyzed using reflexive thematic analysis.

resultsThree themes were developed: 1. creating meaningful communities (related to the social mechanism connected to participating in CWA), 2. breaking the monotony of everyday life (related to how the passengers experience CWA as a meaningful activity), and 3. reconnecting to oneself (related to the meaningful experience the passengers have when they are connected to their local communities and reminiscence).

conclusionTaking part in CWA may mitigate loneliness, as passengers perceive it as being meaningful. These results strengthen the notion that participating in meaningful activities hold the potential to mitigate feelings of loneliness among nursing home residents.

Indexed as

bicyclingCycling Without Agelonelinessmental healthnursing homequalitative methods

Identifiers

PMID39051252
PMCPMC11270177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.