Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1371/journal.pone.0250554

http://scihub22266oqcxt.onion/10.1371/journal.pone.0250554
suck pdf from google scholar
33901260!8075243!33901260
unlimited free pdf from europmc33901260    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33901260&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi

pmid33901260      PLoS+One 2021 ; 16 (4): e0250554
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Levels and predictors of fear and health anxiety during the current outbreak of COVID-19 in immunocompromised and chronic disease patients in Saudi Arabia: A cross-sectional correlational study #MMPMID33901260
  • Al-Rahimi JS; Nass NM; Hassoubah SA; Wazqar DY; Alamoudi SA
  • PLoS One 2021[]; 16 (4): e0250554 PMID33901260show ga
  • Coronavirus disease 2019 (COVID-19) infection has become a clinical threat to healthy people as well as immunocompromised patients and those with pre-existing chronic diseases around the world. This study, which used a cross-sectional correlational design, aimed to assess the levels of fear and health anxiety and to investigate their predictors during the current outbreak of COVID-19 in immunocompromised and chronic disease patients in Saudi Arabia. Sociodemographic and clinical data, fear of COVID-19, and health anxiety measurements were collected by online surveys from June 15 to July 15, 2020. Univariate and multiple linear regression analysis was used to identify predictors. A total of 1,030 patients in 13 provinces in Saudi Arabia completed the questionnaire. A significant number of patients with chronic diseases experienced considerable levels of fear and anxiety during the COVID-19 outbreak. It was found that 21.44% of participants met the criteria for anxiety cases, and 19.4% were considered borderline anxiety cases. In regression analysis, significant predictors of fear and health anxiety were female gender, lower education, middle-aged, divorced or widowed, receiving immunosuppressants, type of chronic disease (Crohn's disease, hypertension, and cardiovascular diseases), and media use as a source of knowledge about COVID-19. Immunocompromised and chronic disease patients are vulnerable to fear and anxiety during epidemic infectious diseases such as COVID-19. Optimizing this population's compliance with appropriate infection prevention and control strategies is crucial during the infectious outbreaks to ensure their safety, to decrease the risk of infection and serious complications, and reduce their fear and health anxiety. Effective positive psychological interventions and support strategies also need to be immediately implemented to increase psychological resilience and improve the mental health of these patients. Due to the COVID-19 outbreak, chronic disease patients in Saudi Arabia need special attention from health authorities, policymakers, and healthcare professionals to manage maladaptive forms of health anxiety and fear.
  • |*Fear[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Anxiety/epidemiology/*pathology[MESH]
  • |COVID-19/*epidemiology/pathology/virology[MESH]
  • |Cardiovascular Diseases/pathology/*psychology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Disease Outbreaks[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Immunocompromised Host[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Predictive Value of Tests[MESH]
  • |Regression Analysis[MESH]
  • |SARS-CoV-2/isolation & purification[MESH]
  • |Saudi Arabia/epidemiology[MESH]
  • |Surveys and Questionnaires[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box