Evidence map›Paper›PMID 35122382›Full record

ArticleAustralasian journal on ageing2022

Impact of the 2020 New Zealand COVID-19 lockdown on participants in a community-based, peer-led fall prevention program.

Jim Smith, Finn Whittington, Charlotte Ackermann, Regan Clarke, Georgia Hoten-Walker, Yezen Kubba, Chin Low, Karina Partridge, Chris Wang, John D Dockerty and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Australasian journal on ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

13 authors at 3 institutions in 1 country.

Jim SmithDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0002-7037-7378
Finn WhittingtonDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Charlotte AckermannDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Regan ClarkeDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Georgia Hoten-WalkerDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Yezen KubbaDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Chin LowDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Karina PartridgeDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Chris WangDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
John D DockertyDepartment of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
Linda RobertsonOtago Polytechnic, Dunedin, New Zealand.
Leigh HaleSchool of Physiotherapy, University of Otago, Dunedin, New Zealand.
Debra L WatersSchool of Physiotherapy, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0001-7982-2370
University of Otago · NZDunedin Public Hospital · NZOtago Polytechnic · NZ

Funding

Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, New ZealandThe University of Adelaide
6 · The paper itself

Abstract

objectivesTo explore the impacts of the 2020 New Zealand COVID-19 lockdown on peer-led Steady as You Go (SAYGO) fall prevention exercise classes and members, and to develop recommendations for mitigating impacts during future lockdowns.

methodsSemi-structured phone interviews were conducted with 20 SAYGO program participants and managers following the first COVID-19 lockdown in New Zealand. Interviews were audio-recorded, transcribed verbatim and analysed using the General Inductive Approach.

resultsParticipants were between 67 and 88 years of age, predominantly female (90%) and NZ European (80%), with one participant identifying as NZ Māori. Three themes were constructed from the analysis: Personal Function and Well-Being, Class Functioning and Logistics, and Future Strategies for Classes During Prospective Lockdowns. Participants used a range of strategies to stay connected with each other and continue the SAYGO exercises at home. Most participants and peer-leaders reported that they maintained physical function during lockdown, although some had feelings of psychological distress and social isolation. Contact systems and resource distribution varied substantially between groups. Classes resumed post-lockdown with only minor modifications and slightly decreased attendance.

conclusionsOverall, members of this peer-led model of fall prevention classes demonstrated resilience during the COVID-19 lockdown, despite some challenges. We propose three recommendations to address the challenges of maintaining existing peer-led exercise classes in the context of prospective lockdowns: (1) develop a comprehensive contact detail register and plans for each group; (2) delivery of modified exercise classes remotely over lockdown; and (3) implementation of a nationwide IT education and resource program for older adults.

Indexed as

COVID-19AgedCommunicable Disease ControlFemaleHumansMaleNew ZealandProspective Studiesaccidental fallsagedCOVID-19physical fitnesssocial isolation

Identifiers

PMID35122382
PMCPMC9111220
OpenAlexW4210763964

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.