Evidence map›Paper›PMID 33339523›Full record

ArticleGlobalization and health2020

Prevalence and correlates of fatigue and its association with quality of life among clinically stable older psychiatric patients during the COVID-19 outbreak: a cross-sectional study.

Siyun Zou, Zi-Han Liu, Xiaona Yan, Huan Wang, Yulong Li, Xiuying Xu, Xiangdong Du, Lan Zhang, Qinge Zhang, Todd Jackson and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Globalization and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. Extending the EQ-5D: the case for a complementary set of 4 psycho-social dimensions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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  14. Biopsychosocial Factors Predicting Pain Among Individuals Experiencing the Novel Coronavirus Disease (COVID-19).Pain management nursing : official journal of the American Society of Pain Management Nurses · 2022
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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

12 authors at 6 institutions in 3 countries.

Siyun ZouMedical College of Soochow University, Suzhou, Jiangsu Province, China.
Zi-Han LiuUnit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Building E12, Avenida da Universidade, Taipa, Macau SAR, China.ORCID 0000-0002-3238-7858
Xiaona YanDepartment of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China.
Huan WangDepartment of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Yulong LiDepartment of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Xiuying XuDepartment of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China.
Xiangdong DuMedical College of Soochow University, Suzhou, Jiangsu Province, China.
Lan ZhangDepartment of Psychiatry, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Qinge ZhangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China. zqe81@126.com.
Todd JacksonDepartment of Psychology, University of Macau, Macau SAR, China.
Gabor S UngvariDivision of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia.
Yu-Tao XiangUnit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Building E12, Avenida da Universidade, Taipa, Macau SAR, China. xyutly@gmail.com.
Lanzhou University Second Hospital · CNUniversity of Macau · MOSoochow University · CNTianjin haihe hospital · CNCapital Medical University · CNThe University of Western Australia · AU

Funding

the Beijing Municipal Science & Technology Commission Z181100001518005the Key Diagnosis and treatment Program of Suzhou LCZX201615the National Science and Technology Major Project for investigational new drug 2018ZX09201-014Universidade de Macau MYRG2019-00066-FHS
6 · The paper itself

Abstract

backgroundThe pattern of fatigue in older psychiatric patients during the COVID-19 outbreak was unknown. This study examined the prevalence of fatigue and its association with overall quality of life (overall QOL) in clinically stable older patients with psychiatric disorders during the COVID-19 outbreak.

methodsThis was a multicenter, cross-sectional study. Fatigue, depressive symptoms, pain, insomnia symptoms, and overall QOL were assessed with standardized instruments.

resultsA total of 1063 patients were recruited. The prevalence of fatigue was 47.1% (95%CI: 44.1-50.1%). An analysis of covariance revealed that overall QOL was significantly lower in patients with fatigue compared to those without (P = 0.011). A multiple logistic regression analysis revealed that more severe depressive symptoms (OR = 1.15, P < 0.001), insomnia symptoms (OR = 1.08, P < 0.001) and pain (OR = 1.43, P < 0.001) were significantly associated with fatigue.

conclusionsFatigue is common among clinically stable older patients with psychiatric disorders during the COVID-19 outbreak. Considering its negative impact on overall QOL, regular assessment of fatigue and appropriate treatment warrant attention in this subpopulation.

Indexed as

Quality of LifeSeverity of Illness IndexAgedAged, 80 and overAge FactorsCOVID-19Cross-Sectional StudiesDepressionDepressive DisorderDisease OutbreaksFatigueFemaleHumansLogistic ModelsMaleMental DisordersCOVID-19FatigueOlder psychiatric patientsQuality of life

Identifiers

PMID33339523
PMCPMC7748982
OpenAlexW3112658096

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.