Evidence map›Paper›PMID 37917757›Full record

ArticlePloS one2023

Investigating and promoting health behaviors reactivity among Hong Kong older adults in the post-COVID-19 Era: An exploratory network analysis.

Ming Yu Claudia Wong, Kai-Ling Ou, Ka Man Leung

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ming Yu Claudia WongThe Education University of Hong Kong, Hong Kong, China.
Kai-Ling OuHong Kong Baptist University, Hong Kong, China.ORCID 0000-0003-2853-5202
Ka Man LeungThe Education University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical distance has increased the risk of developing a variety of health problems, especially among older people. During the COVID-19 lockdown period, physical activity decreased, screen time increased, food consumption increased, as well as exposure to unhealthy behaviour, leading to poorer sleep quality and more negative emotions, which ultimately led to poorer physical health, mental health, and subjective vitality among older adults. Although there were numerous research studies on changes in health behaviours during COVID-19, only a few were targeted at older adults, and none were conducted in Asian countries.

methodThe current study is aiming to identify the changes in health behaviours, as well as their associations with older adults' mental health as a result of the COVID-19 pandemic among Hong Kong older adults, using exploratory network analysis. In this study, a random tele-survey was conducted among older adults.

resultsA total of 664 participants have been involved in the telephone survey, with 213 males and 451 females, of which mean age was 74.37. The explored network showed strong centrality and edge stability, thus enabling to reveal an overview of the associations between health behaviours and mental well-being of older adults. The lavaan model has also demonstrated the casual paths within the explored network, which indicated the significant impact of sleeping quality, eating habits and social networking on resilience.

conclusionThe outcomes of the study were able to identify the lifestyle changes of Hong Kong older adults due to COVID-19. Although the present study is not regarded as novel internationally, it may be representative of the Hong Kong community. In order to facilitate active aging during the pandemic, a user-friendly electronic platform for healthy living should include older adults in the future.

Indexed as

COVID-19AgedCommunicable Disease ControlFemaleHealth BehaviorHong KongHumansMalePandemics

Identifiers

PMID37917757
PMCPMC10621926

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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.