Evidence map›Paper›PMID 35245996›Full record

ArticleJournal of geriatric psychiatry and neurology2022

Prevalence and Correlates of Insomnia Symptoms in Older Chinese Adults During the COVID-19 Outbreak: A Classification Tree Analysis.

Yan-Min Xu, Chao Li, Ruizi Zhu, Bao-Liang Zhong

Abstract read
In one paragraph

Article in Journal of geriatric psychiatry and neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. COVID-19 Worries and Insomnia: A Follow-Up Study.International journal of environmental research and public health · 2023
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4 · The record

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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.

Yan-Min XuDepartment of Psychiatry, 364243Wuhan Mental Health Center, Wuhan, China.
Chao LiDepartment of Psychiatry, Yunnan Mental Health Center, Kunming, China.
Ruizi ZhuDepartment of Sociology, 4257Queen's University, Kingston, ON, Canada.
Bao-Liang ZhongDepartment of Psychiatry, 364243Wuhan Mental Health Center, Wuhan, China.ORCID 0000-0002-7229-1519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine prevalence and correlates of insomnia symptoms in older Chinese adults (OCAs) during the COVID-19 outbreak.

backgroundDuring the COVID-19 pandemic, insomnia is a major health concern of elderly individuals, but its subtypes have not been investigated.

methodsAltogether, 590 OCAs (50+ years) were recruited via snowball sampling during the COVID-19 outbreak. Standardized self-report questions were used to assess the presence of difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), and early morning awakening (EMA). Classification tree analysis (CTA) was used to identify correlates of insomnia.

resultsThe one-month prevalence (95% confidence interval) of any subtype of insomnia symptoms was 23.4% (20.0-26.8%), with DIS, DMS, and EMA being 15.4% (12.5-18.3%), 17.1% (14.1-20.2%), and 11.2% (8.64-13.7%), respectively. Worry about being infected with COVID-19 emerged as the most salient correlate of insomnia (

conclusionsInsomnia symptoms were prevalent among OCAs during the COVID-19 outbreak. Selective intervention programs targeting elderly individuals who are worried about being infected, living in the epicenter of COVID-19, and unemployed might be effective.

Indexed as

COVID-19Sleep Initiation and Maintenance DisordersAgedChinaDisease OutbreaksHumansMiddle AgedPandemicsPrevalenceSARS-CoV-2classification treeCOVID-19elderlyinsomniaprevalence

Identifiers

PMID35245996
PMCPMC8899830

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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.