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10.1016/j.envres.2021.111376 http://scihub22266oqcxt.onion/10.1016/j.envres.2021.111376 34043969!9750228!34043969     free     free     free 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 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Res 2021 ; 199 (ä): 111376 Nephropedia Template TP {{tp|p=34043969|t=2021. Exploring the predictors of health-protective behavior during the COVID-19 pandemic: A multi-country comparison |pdf=|usr=}}{{34043969}} gab.com Text Exploring the predictors of health-protective behavior during the COVID-19 pandemic: A multi-country comparison JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=34043969 #FOAvip In recent years, examining the determinants of health behaviors on a multi-country level remains limited. Therefore, the purpose of this study is to explore the key factors that may enhance the adoption of health-protective behaviors during the COVID-19 pandemic in Morocco and India. A theoretical framework derived from the health belief model (HBM) was used for this research. Data was collected from a sample of 444 adult individuals split across Morocco (n = 215) and India (n = 229). Data analysis was carried out using two-stage multiple-analytic techniques. First, structural equation modeling (SEM) was employed to test the hypothesized relationships. Second, an artificial neural network (ANN) model was employed to rank the significant independent variables obtained from SEM analysis. The results of SEM showed that perceived benefit is the key predictor of the protective behavior in Morocco, followed by self-efficacy, and then perceived severity. By contrast, ANN analysis showed that perceived severity was the most vital factor for predicting the protective behavior in Morocco, followed by perceived benefits, and then self-efficacy. For the Indian sample, both SEM analysis and the ANN model revealed that the impact of perceived susceptibility on the adoption of the protective measure is stronger than that of cues to action. Theoretical contributions and managerial implications are also discussed toward the end. Twit Text FOAVip Exploring the predictors of health-protective behavior during the COVID-19 pandemic: A multi-country comparison ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=34043969 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34043969 #FOAvip English Wikipedia <ref>{{Cite pmid|34043969}}</ref> Exploring the predictors of health-protective behavior during the COVID-19 pandemic: A multi-country comparison #MMPMID34043969 Jadil Y; Ouzir M Environ Res 2021[Aug]; 199 (ä): 111376 PMID34043969show ga In recent years, examining the determinants of health behaviors on a multi-country level remains limited. Therefore, the purpose of this study is to explore the key factors that may enhance the adoption of health-protective behaviors during the COVID-19 pandemic in Morocco and India. A theoretical framework derived from the health belief model (HBM) was used for this research. Data was collected from a sample of 444 adult individuals split across Morocco (n = 215) and India (n = 229). Data analysis was carried out using two-stage multiple-analytic techniques. First, structural equation modeling (SEM) was employed to test the hypothesized relationships. Second, an artificial neural network (ANN) model was employed to rank the significant independent variables obtained from SEM analysis. The results of SEM showed that perceived benefit is the key predictor of the protective behavior in Morocco, followed by self-efficacy, and then perceived severity. By contrast, ANN analysis showed that perceived severity was the most vital factor for predicting the protective behavior in Morocco, followed by perceived benefits, and then self-efficacy. For the Indian sample, both SEM analysis and the ANN model revealed that the impact of perceived susceptibility on the adoption of the protective measure is stronger than that of cues to action. Theoretical contributions and managerial implications are also discussed toward the end. |*COVID-19[MESH] |*Pandemics[MESH] |Adult[MESH] |Health Behavior[MESH] |Humans[MESH] |India/epidemiology[MESH]Exploring the predictors of health-protective behavior during the COVI(epmc).pdf DeepDyve Pubget Overpricing