Evidence map›Paper›PMID 36768011›Full record

ArticleInternational journal of environmental research and public health2023

Association between Prevention from Going Out and Incidence of Falls among Community-Dwelling Older Adults during COVID-19 Pandemic.

Saori Anezaki, Mariko Sakka, Noriko Yamamoto-Mitani

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Saori AnezakiDepartment of Gerontological Home Care and Long-Term Care Nursing, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo City, Tokyo 113-0033, Japan.ORCID 0000-0001-6934-087X
Mariko SakkaThe Faculty of Medicine, The University of Tsukuba, 1-1-1 Tennodai, Tsukuba City 305-8575, Japan.
Noriko Yamamoto-MitaniDepartment of Gerontological Home Care and Long-Term Care Nursing, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo City, Tokyo 113-0033, Japan.ORCID 0000-0002-1704-7011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To prevent falls, community-dwelling older adults must maintain regular physical activities. This study aimed to explore the association between the prevention from going out and the incidence of falls among community-dwelling older adults during the COVID-19 pandemic. We conducted a prospective cohort study that consisted of 381 individuals aged 65 years or older, living in a local community in Japan, and ranging from being independent to being physically and cognitively frail. The finding revealed that among those who had been going out five or more times weekly pre-pandemic, the prevention from going out at the time of the first state of emergency (SOE) (AOR = 6.84; 95%CI = 1.51-31.02), having history of falls (AOR = 7.35; 95%CI = 1.81-29.84), participating in group gatherings (AOR = 6.09; 95%CI = 1.48-25.12), living with spouses (AOR = 0.08; 95%CI = 0.02-0.40), and living with other than spouse (AOR = 0.15; 95%CI = 0.03-0.73) were associated with the incidence of falls. The study highlights the importance of providing regular opportunities to go out to community-dwelling older adults in order to prevent falls.

Indexed as

COVID-19Independent LivingAgedHumansIncidencePandemicsProspective Studiescommunity-dwelling older adultsCOVID-19frequency of going outincidence of falls

Identifiers

PMID36768011
PMCPMC9915270

What OpenQuestion holds

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Registered trials

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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.