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10.1080/13548506.2021.1921229 http://scihub22266oqcxt.onion/10.1080/13548506.2021.1921229 33906540!ä!33906540 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Psychol+Health+Med 2022 ; 27 (2): 379-388 Nephropedia Template TP {{tp|p=33906540|t=2022. Predicting engagement in behaviors to reduce the spread of COVID-19: the roles of the health belief model and political party affiliation |pdf=|usr=}}{{33906540}} gab.com Text Predicting engagement in behaviors to reduce the spread of COVID-19: the roles of the health belief model and political party affiliation JO: Psychol Health Med http://www.kidney.de/pget.php?&tw=1&pmid=33906540 #FOAvip Efforts to control the spread of COVID-19 within the United States have been compromised by varying levels of engagement in preventive behaviors, such as mask wearing, social distancing and vaccine uptake. The purpose of this study was to evaluate potential predictors of both (1) engagement in behaviors aimed at reducing the spread of COVID-19 and (2) intention to get vaccinated against COVID-19. It was hypothesized that Health Belief Model (HBM) constructs would predict each outcome. Additionally, given the politicization of the pandemic in the US, HBM constructs were considered as possible mediators of a relationship between political party affiliation and each outcome. A total of 205 participants completed an online survey, and data from 186 were analyzed using linear and ordinal regressions. Findings indicate that greater perceived response efficacy predicted greater engagement in preventive behaviors and intention to get vaccinated. Other HBM constructs were not significant predictors of either outcome. Mediation analyses indicated that affiliation with the Republican Party predicted reduced engagement in preventive health behaviors and vaccination intention, although effects were fully and partially mediated by lower levels of response efficacy. Understanding the predictors of adherence to recommended strategies is essential to developing effective public health campaigns that address risk factors for non-adherence and target those least likely to adhere. Public health interventions aimed at reducing the spread of COVID-19 in the US should emphasize the efficacy of preventive behaviors and encourage public trust in the safety and efficacy of the COVID-19 vaccines, particularly among Republicans. Twit Text FOAVip Predicting engagement in behaviors to reduce the spread of COVID-19: the roles of the health belief model and political party affiliation ????Psychol Health Med http://www.kidney.de/pget.php?&tw=1&pmid=33906540 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33906540 #FOAvip English Wikipedia <ref>{{Cite pmid|33906540}}</ref> Predicting engagement in behaviors to reduce the spread of COVID-19: the roles of the health belief model and political party affiliation #MMPMID33906540 Rabin C; Dutra S Psychol Health Med 2022[Feb]; 27 (2): 379-388 PMID33906540show ga Efforts to control the spread of COVID-19 within the United States have been compromised by varying levels of engagement in preventive behaviors, such as mask wearing, social distancing and vaccine uptake. The purpose of this study was to evaluate potential predictors of both (1) engagement in behaviors aimed at reducing the spread of COVID-19 and (2) intention to get vaccinated against COVID-19. It was hypothesized that Health Belief Model (HBM) constructs would predict each outcome. Additionally, given the politicization of the pandemic in the US, HBM constructs were considered as possible mediators of a relationship between political party affiliation and each outcome. A total of 205 participants completed an online survey, and data from 186 were analyzed using linear and ordinal regressions. Findings indicate that greater perceived response efficacy predicted greater engagement in preventive behaviors and intention to get vaccinated. Other HBM constructs were not significant predictors of either outcome. Mediation analyses indicated that affiliation with the Republican Party predicted reduced engagement in preventive health behaviors and vaccination intention, although effects were fully and partially mediated by lower levels of response efficacy. Understanding the predictors of adherence to recommended strategies is essential to developing effective public health campaigns that address risk factors for non-adherence and target those least likely to adhere. Public health interventions aimed at reducing the spread of COVID-19 in the US should emphasize the efficacy of preventive behaviors and encourage public trust in the safety and efficacy of the COVID-19 vaccines, particularly among Republicans. |*COVID-19/prevention & control[MESH] |COVID-19 Vaccines[MESH] |Health Belief Model[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH] |SARS-CoV-2[MESH]Predicting engagement in behaviors to reduce the spread of COVID-19: t(epmc).pdf DeepDyve Pubget Overpricing