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10.3390/ijerph17228666 http://scihub22266oqcxt.onion/10.3390/ijerph17228666 33266386!7700576!33266386     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33266386&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       Int+J+Environ+Res+Public+Health 2020 ; 17 (22): ? Nephropedia Template TP {{tp|p=33266386|t=2020. Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic |pdf=|usr=}}{{33266386}} gab.com Text Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33266386 #FOAvip The global spread of COVID-19 requires not only national-level responses but also active compliance with individual-level prevention measures. Because COVID-19 is an infectious disease that spreads through human contact, it is impossible to end its spread without individuals' active cooperation and preventive behavior. This study analyzes the effects of health beliefs and resource factors on behaviors to prevent COVID-19. In particular, it analyzes how resource factors moderate the impact of health beliefs on preventive behavior. A regression analysis showed that gender (female), age, number of elderly people in one's family, perceived severity, perceived benefit, self-efficacy, poor family health, media exposure, knowledge, personal health status, and social support positively affected preventive actions, whereas perceived susceptibility negatively affected them. In explaining preventive actions, self-efficacy had the greatest explanatory power, followed by gender (female), knowledge, personal health status, perceived severity, and social support. In addition, an analysis of moderating effects shows that resource variables, such as education level, personal health status, and social support, play moderating roles in inducing preventive actions. Twit Text FOAVip Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33266386 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33266386 #FOAvip English Wikipedia <ref>{{Cite pmid|33266386}}</ref> Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic #MMPMID33266386 Kim S; Kim S Int J Environ Res Public Health 2020[Nov]; 17 (22): ? PMID33266386show ga The global spread of COVID-19 requires not only national-level responses but also active compliance with individual-level prevention measures. Because COVID-19 is an infectious disease that spreads through human contact, it is impossible to end its spread without individuals' active cooperation and preventive behavior. This study analyzes the effects of health beliefs and resource factors on behaviors to prevent COVID-19. In particular, it analyzes how resource factors moderate the impact of health beliefs on preventive behavior. A regression analysis showed that gender (female), age, number of elderly people in one's family, perceived severity, perceived benefit, self-efficacy, poor family health, media exposure, knowledge, personal health status, and social support positively affected preventive actions, whereas perceived susceptibility negatively affected them. In explaining preventive actions, self-efficacy had the greatest explanatory power, followed by gender (female), knowledge, personal health status, perceived severity, and social support. In addition, an analysis of moderating effects shows that resource variables, such as education level, personal health status, and social support, play moderating roles in inducing preventive actions. |*Culture[MESH] |*Health Behavior[MESH] |COVID-19/*prevention & control[MESH] |Communicable Disease Control/statistics & numerical data[MESH] |Female[MESH] |Health[MESH] |Humans[MESH] |Male[MESH]Analysis of the Impact of Health Beliefs and Resource Factors on Preve(epmc).pdf DeepDyve Pubget Overpricing