Evidence map›Paper›PMID 36911425›Full record

ArticleTravel behaviour & society2023

Nowhere to go - Effects on elderly's travel during Covid-19.

Katrin Lättman, Lars E Olsson, E Owen D Waygood, Margareta Friman

Open access · hybridAbstract read
In one paragraph

Article in Travel behaviour & society, 2023. 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
7.4field-weighted citation impact, top 3% of its field
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, 19 citations in OpenAlex.

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 at 2 institutions in 2 countries.

Katrin LättmanKarlstad University, CTF - Service Research Center and Department of Social and Psychological Studies, SE-65188 Karlstad, Sweden.
Lars E OlssonKarlstad University, CTF - Service Research Center and Department of Social and Psychological Studies, SE-65188 Karlstad, Sweden.
E Owen D WaygoodPolytechnique Montreal, Department of Civil Geological and Mining Engineering, PO Box 6079, Montréal, QC H3C 3A7, Canada.
Margareta FrimanKarlstad University, CTF - Service Research Center and Department of Social and Psychological Studies, SE-65188 Karlstad, Sweden.
Karlstad University · SEPolytechnique Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has presented numerous, significant challenges for elderly in their daily life. In order to reach a deeper understanding of the feelings and thoughts of the elderly related to their possibilities to travel and engage in activities during the pandemic, this study takes a qualitative approach to exploring the views of the elderly themselves. The study focuses on experiences during the COVID-19 pandemic. A number of in-depth semi-structured interviews with elderly aged 70 and above, were conducted in June 2020. Applied Thematic Analysis (ATA) was applied, as a first stage, to investigate meaningful segments of data. In a second stage these identified segments were combined into a number of themes. This study reports the outcome of the ATA analysis. More specifically we report experiences, motivations and barriers for travel and activity participation, and discuss how these relate to the health and well-being of elderly, and vice versa. These findings highlight the strong need to develop a transport system that to a higher extent addresses the physical as well as the mental health of old people, with a particular focus on facilitating social interactions.

Indexed as

COVID-19ElderlyHealthSocial interactionsTravelWell-being

Identifiers

PMID36911425
PMCPMC9986143
OpenAlexW4323315316

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.