Evidence map›Paper›PMID 36926364›Full record

ArticleDepression research and treatment2023

Comparison of the Quality of Life and Depression in the Elderly with and without a History of COVID-19 Infection in Shiraz, Iran.

Akram Boustani, Camellia Torabizadeh, Majid Najafi Kalyani

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In one paragraph

Article in Depression research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Akram BoustaniSchool of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.
Camellia TorabizadehCommunity Based Psychiatric Care Research Center, Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0003-2193-5844
Majid Najafi KalyaniDepartment of Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-7711-8184
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 causes many physical and mental complications. The elderly, as one of the vulnerable groups, were more exposed to the problems caused by this pandemic. The aim of this study was to compare the quality of life and depression in the elderly with and without a history of COVID-19 infection. Method: This is a cross-sectional descriptive study conducted on 404 elderly people (202 from the affected group and 202 from the nonaffected group) aged over 60 years old in Shiraz city. The elderly participants were selected based on simple random sampling from the elderly list. In order to collect information, the quality of life questionnaire of the World Health Organization and Beck's depression questionnaire were used. Data analysis was done through SPSS software version 22 using statistical tests of chi-square, Results: The average score of depression in the elderly with a history of COVID-19 (14.66 ± 13.17) was significantly higher than that of the elderly without a history of COVID-19 (9.71 ± 10.12) ( Conclusion: Elderly people with a history of COVID-19 had more depression and lower quality of life compared to people without a history of COVID-19. It is suggested that planners and health policymakers should pay special attention to the use of effective psychological interventions in order to reduce the problems of the elderly.

Identifiers

PMID36926364
PMCPMC10014154
OpenAlexW4323926326

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read11
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 Socratic graph.