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


10.1093/tbm/ibaa085

http://scihub22266oqcxt.onion/10.1093/tbm/ibaa085
suck pdf from google scholar
32893867!7499777!32893867
unlimited free pdf from europmc32893867    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32893867.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117
pmid32893867      Transl+Behav+Med 2020 ; 10 (4): 843-849
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Prevalence and predictors of early COVID-19 behavioral intentions in the United States #MMPMID32893867
  • Berg MB; Lin L
  • Transl Behav Med 2020[Oct]; 10 (4): 843-849 PMID32893867show ga
  • Despite early warnings and calls for action, COVID-19 infection rates continue to climb in many areas of the United States. The current study examined participants' reported likelihood of engaging in eight behaviors designated by the Centers for Disease Control and Prevention as critical for the prevention of COVID-19 at the outset of the epidemic. Self-efficacy, perceived threat, and internal and external health locus of control were explored as potential predictors of those behaviors. In addition, demographic and contextual factors, such as age, gender, political identity, and whether or not participants were currently living under a quarantine advisory, were recorded for analysis. Overall, participants reported high engagement with the prevention behaviors. Higher levels of self-efficacy, perceived severity of the illness, and external locus of control in regard to medical professionals were all positively associated with plans to take the recommended precautions. Based on the results, it appears that messaging regarding COVID-19 prevention may be particularly effective when it focuses on the high risk of the illness, the ease with which the prevention behaviors can be taken, and a reassurance that the medical establishment has individuals' best health in mind when it makes its specific recommendations. While numerous countries have succeeded in reducing the spread of COVID-19, the number of new cases in the United States remains high, even relative to other populations also heavily impacted by the disease [1]. Although it would be difficult to pinpoint a single cause or explanation for the epidemic's course in the USA, at the heart of its spread, like the spread of all infectious diseases, is noncompliance with preventative measures. The current research served as a preliminary exploration of the prevalence and predictors of eight COVID-19 prevention behaviors. A brief survey was sent out at the end of March 2020 to 350 U.S. residents in order to assess the likelihood of their engaging in various prevention behaviors recommended at that time and several related psychosocial factors. The psychological factors assessed included health locus of control (HLOC) beliefs, self-efficacy, and perceived threat. In addition, a handful of demographic and contextual factors, such as age, gender, political identity, and whether or not they were working outside the home or were currently living under a quarantine advisory, were recorded for examination.
  • |*Cooperative Behavior[MESH]
  • |*Coronavirus Infections/epidemiology/prevention & control/psychology[MESH]
  • |*Health Behavior[MESH]
  • |*Pandemics/prevention & control[MESH]
  • |*Pneumonia, Viral/epidemiology/prevention & control/psychology[MESH]
  • |*Self Efficacy[MESH]
  • |*Social Perception[MESH]
  • |Adult[MESH]
  • |Attitude to Health[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Intention[MESH]
  • |Male[MESH]
  • |Masks[MESH]
  • |Prevalence[MESH]
  • |Psychology[MESH]
  • |SARS-CoV-2[MESH]
  • |Social Control, Formal/methods[MESH]
  • |Social Isolation/*psychology[MESH]
  • |Surveys and Questionnaires[MESH]
  • |United States/epidemiology[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box