Evidence map›Paper›PMID 34727897›Full record

ArticleBMC public health2021

Loneliness and mental health among the elderly in Poland during the COVID-19 pandemic.

Beata Dziedzic, Anna Idzik, Ewa Kobos, Zofia Sienkiewicz, Tomasz Kryczka, Wiesław Fidecki, Mariusz Wysokiński

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  19. The long COVID and its mental health manifestations - the review of literature.International journal of occupational medicine and environmental health · 2024
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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

7 authors at 2 institutions in 1 country.

Beata DziedzicDepartment of Development of Nursing, Social and Medical Sciences, Faculty of Health Sciences, Medical University of Warsaw, Żwirki i Wigury 61, 02-091, Warszawa, Poland. beata.dziedzic@wum.edu.pl.
Anna IdzikDepartment of Development of Nursing, Social and Medical Sciences, Faculty of Health Sciences, Medical University of Warsaw, Żwirki i Wigury 61, 02-091, Warszawa, Poland.
Ewa KobosDepartment of Development of Nursing, Social and Medical Sciences, Faculty of Health Sciences, Medical University of Warsaw, Żwirki i Wigury 61, 02-091, Warszawa, Poland.
Zofia SienkiewiczDepartment of Development of Nursing, Social and Medical Sciences, Faculty of Health Sciences, Medical University of Warsaw, Żwirki i Wigury 61, 02-091, Warszawa, Poland.
Tomasz KryczkaDepartment of Development of Nursing, Social and Medical Sciences, Faculty of Health Sciences, Medical University of Warsaw, Żwirki i Wigury 61, 02-091, Warszawa, Poland.
Wiesław FideckiDepartment of Basic Nursing and Medical Teaching, Department of Development of Nursing, Faculty of Health Sciences, Medical University of Lublin, 20-081, Lublin, Poland.
Mariusz WysokińskiDepartment of Basic Nursing and Medical Teaching, Department of Development of Nursing, Faculty of Health Sciences, Medical University of Lublin, 20-081, Lublin, Poland.
Medical University of Warsaw · PLMedical University of Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe unexpected changes caused by the COVID-19 pandemic related to the fear of developing the disease, and the need for social distancing and isolation have had an effect on people's mental health. These drastic changes can result in the development of anxiety, depressive symptoms and sense of loneliness. Elderly and chronically ill individuals are at a particularly high risk of developing COVID-19, suffering severe illness and dying as a result of it. AIM OF THE STUDY: The aim of the study was to assess the prevalence of anxiety, depressive symptoms, irritability and loneliness in the elderly aged 60 years and older as a group exposed to the negative impact of the COVID-19 pandemic, and to analyze the relationships between loneliness and mental health of the respondents and sociodemographic variables and chronic diseases. MATERIALS AND

methodsThe study was conducted in Poland among 221 individuals aged 60+. The study material was collected using a sociodemographic questionnaire, Hospital Anxiety and Depression Scale (HADS-M) and a revised University of California Los Angeles loneliness scale (R-UCLA). Women accounted for 47.51% and men for 52.49% of study participants; the mean age was 65.18 (SD = 4.06).

resultsIn total, according to HADS-M, depressive symptoms were present in 19.15% of the participants and borderline states in 14.18% of them. Based on R-UCLA, moderate and moderately high sense of loneliness was present in 58.83% of the participants. Sense of loneliness was significantly correlated with the prevalence of depressive symptoms (p < 0.001).

conclusionsIn this study, one in five participants experienced anxiety and depressive symptoms. Two out of three participants experienced a moderate sense of loneliness. Individuals who displayed a higher level of loneliness also had a higher severity of anxiety level depressive symptoms and irritability. Elderly individuals should be under special care due to their high risk of experiencing physical and mental effects of the COVID-19 pandemic.

Indexed as

COVID-19PandemicsAgedAnxietyDepressionFemaleHumansLonelinessMaleMental HealthMiddle AgedPolandSARS-CoV-2AnxietyCOVID-19DepressionIrritabilityLonelinessOlder people 60 +Social isolation

Identifiers

PMID34727897
PMCPMC8561080
OpenAlexW3209835052

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.