Evidence map›Paper›PMID 36482432›Full record

ArticleBMC public health2022

It's all not negative: a cross-section study on the impacts of Covid-19 pandemic on Iranian population.

Hossein Namdar Areshtanab, Mina Hosseinzadeh, Maryam Vahidi, Sheila K Hurst, Soraya Soheili

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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

5 authors.

Hossein Namdar AreshtanabSocial Determinants of Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mina HosseinzadehDepartment of Community Health Nursing, Nursing and Midwifery faculty, Tabriz University of Medical Sciences, Tabriz, Iran. m.hosseinzadeh63@gmail.com.
Maryam VahidiDepartment of Mental Health and Psychiatric Nursing, Nursing and Midwifery Faculty, Tabriz University of Medical Sciences, Tabriz, Iran.
Sheila K HurstWashington State University, Spokane, Washington, USA.
Soraya SoheiliDepartment of Nursing, Marand Branch, Islamic Azad University, Marand, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCovid-19 has had significant effects on the quality of life of individuals around the world. Research highlights many negative impacts related to Covid-19; however, there are also potential positive impacts. The current study aimed to identify both the perceived negative and positive effects of Covid-19 among the residents of Tabriz, Iran. MATERIALS &

methodsThe descriptive cross-sectional study was conducted in 10 health centers in Tabriz city in 2021. Cluster random sampling was used to select the 861 study participants. A questionnaire was developed to collect demographic and Covid-19 impacts. Data were analyzed with descriptive and inferential statistics using SPSS 16 software.

resultsThe mean (SD) of negative and positive impacts of Covid-19 was 37.7 (5.10) and 36.35 (5.31), respectively. Significant negative impacts included restriction in participation in cultural (90.4%) and religious (88.9%) activities. Positive impacts were increased attention to personal hygiene (88.7%) and attention to elders (87.6%). Gender (p = 0.006), work status (p = 0.004) and age (p = 0. 01) had significant association with the mean of negative impacts and work status (p = 0.01), age (p < 0.001), history of Covid-19 (p = 0.01) and family history of Covid-19 (p < 0.001) had the significant association with the mean of positive impacts of Covid-19.

conclusionThe findings revealed that the general population experienced many negative impacts of Covid-19. This may be related to the priority of religious gatherings in Iranian culture. Despite the unfavorable effects of Covid-19, its positive effects and post-traumatic growth should not be ignored. Covid-19 may be used as an opportunity to develop personal growth and a positive outlook on life. Healthcare workers should reinforce the positive impacts of Covid-19 while taking into consideration the importance of spirituality among Iranian individuals during times of community lockdowns.

Indexed as

COVID-19AgedCommunicable Disease ControlCross-Sectional StudiesHumansIranPandemicsQuality of LifeCovid-19IranLifestylePandemic

Identifiers

PMID36482432
PMCPMC9733052

What OpenQuestion holds

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Registered trials

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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.