Evidence map›Paper›PMID 37545992›Full record

ArticleJournal of education and health promotion2023

Psychosocial comorbidities of diabetes during the COVID-19 pandemic in Iran.

Mehri Doosti-Irani, Kobra Noorian, Leila Rafiee Vardanjani, Paulo Fanti, Evah W Odoi, Samereh Abdoli

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Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Predictors for Anxiety and Stress in Long COVID: A Study in the Brazilian Population.International journal of environmental research and public health · 2025
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  3. Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mehri Doosti-IraniSchool of Nursing and Midwifery, Shahrekord University of Medical Sciences, Iran.
Kobra NoorianSchool of Nursing and Midwifery, Shahrekord University of Medical Sciences, Iran.
Leila Rafiee VardanjaniSchool of Nursing and Midwifery, Shahrekord University of Medical Sciences, Iran.
Paulo FantiFaculty of Medical Sciences, University of Campinas, Campinas, São Paulo, Brazil. Rua Tessália Vieira de Camargo, 126, Cidade Universitária Zeferino Vaz, Campinas-SP, Brasil, Brazil.
Evah W OdoiDepartment of Public Health, The University of Tennessee, 1914 Andy Holt Avenue, Knoxville, TN, USA.
Samereh AbdoliCollege of Nursing, University of Tennessee, 1200 Volunteer Blvd Rm 155, Knoxville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe psychosocial impacts of the COVID-19 pandemic are mainly focused on the general population, while pandemics do not impact the mental health of the entire population uniformly, especially vulnerable populations with underlying health conditions. This study aimed to investigate diabetes psychosocial comorbidities among Iranians with type 1 diabetes (T1D) during the COVID-19 pandemic. This study aimed to investigate diabetes psychosocial comorbidities among Iranians with type 1 diabetes (T1D) during the COVID-19 pandemic. MATERIALS AND

methodsThis was a cross-sectional study of 212 adults with T1D in different cities in Iran. Study participants completed an online survey in April-June 2020. The survey collected self-reported data on diabetes psychosocial comorbidities (i.e. diabetes burnout, diabetes distress, and depressive symptoms). Demographic and COVID-19 data before and during the pandemic were also collected. Responses were analyzed using ordinary least squares and logistic regression methods.

resultsAround 17.5% reported being tested for COVID-19 virus, 8% were diagnosed positive, 10.8% were hospitalized, and 92.9% followed precaution recommendations during the pandemic. Participants had high levels of diabetes distress (57.1%), depressive symptoms (60.8%), and diabetes burnout (mean score = 3.1 out of 5). During the pandemic, trouble paying for the very basic needs was a consistent factor increasing the risk of diabetes distress, diabetes burnout, and depressive symptoms. Lack of access to diabetes care was only associated with diabetes burnout, while diabetes hospitalization/emergency department (ED) visit was associated with diabetes distress. Existing diabetes disparities before the pandemic were also associated with higher scores of diabetes psychosocial comorbidities [accessing diabetes supplies and medications (

conclusionThe negative impact of the COVID-19-related changes on individuals with diabetes, as one of the most vulnerable populations, must be recognized alongside the physical, financial, and societal impact on all those affected. Psychological interventions should be implemented urgently in Iran, especially for those with such characteristics.

Indexed as

BurnoutCOVID-19depressiondiabetes mellitusIran

Identifiers

PMID37545992
PMCPMC10402822

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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.