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10.3390/ijerph18073447 http://scihub22266oqcxt.onion/10.3390/ijerph18073447 33810355!8036546!33810355     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2021 ; 18 (7): ä Nephropedia Template TP {{tp|p=33810355|t=2021. Study on Factors of People s Wearing Masks Based on Two Online Surveys: Cross-Sectional Evidence from China |pdf=|usr=}}{{33810355}} gab.com Text Study on Factors of People s Wearing Masks Based on Two Online Surveys: Cross-Sectional Evidence from China JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33810355 #FOAvip (1) Background: To analyze factors of people's wearing masks based on two online surveys, and to explore whether living area factor or quarantine status could have an impact on mask-wearing. (2) Methods: Chi-square test and logistic regression analysis were used to explore the influence of different factors on people's behavior of mask-wearing in the present study. R3.6.2 was used for data cleaning, SPSS 26.0 was used to conduct corresponding statistical analysis, and a two-sided p-value less than 0.05 was considered to be statistically significant. (3) Results: According to our study, the proportion of participants who wore face masks was higher than 90.0% in both surveys. Single factor analysis showed that the proportion of people wearing face masks raised with the increase of people's education, age, and monthly income (Yuan) in both surveys. People who lived in rural areas were less likely to wear masks. Mask-wearing rate was lower in the isolated individuals than in the non-isolated ones. (4) Conclusions: Masks-wearing is one of the effective measures for COVID-19 pandemic prevention and control. After the Chinese government made wearing face masks mandatory in public places, most residents in China had developed the habit of wearing masks, contributing to the high rate of masks-wearing in China. However, people in rural areas need to raise their awareness of wearing masks. Meanwhile, the mask-wearing of the isolated individuals needs to be enhanced. Twit Text FOAVip Study on Factors of People s Wearing Masks Based on Two Online Surveys: Cross-Sectional Evidence from China ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33810355 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33810355 #FOAvip English Wikipedia <ref>{{Cite pmid|33810355}}</ref> Study on Factors of People s Wearing Masks Based on Two Online Surveys: Cross-Sectional Evidence from China #MMPMID33810355 Zhang L; Zhu S; Yao H; Li M; Si G; Tan X Int J Environ Res Public Health 2021[Mar]; 18 (7): ä PMID33810355show ga (1) Background: To analyze factors of people's wearing masks based on two online surveys, and to explore whether living area factor or quarantine status could have an impact on mask-wearing. (2) Methods: Chi-square test and logistic regression analysis were used to explore the influence of different factors on people's behavior of mask-wearing in the present study. R3.6.2 was used for data cleaning, SPSS 26.0 was used to conduct corresponding statistical analysis, and a two-sided p-value less than 0.05 was considered to be statistically significant. (3) Results: According to our study, the proportion of participants who wore face masks was higher than 90.0% in both surveys. Single factor analysis showed that the proportion of people wearing face masks raised with the increase of people's education, age, and monthly income (Yuan) in both surveys. People who lived in rural areas were less likely to wear masks. Mask-wearing rate was lower in the isolated individuals than in the non-isolated ones. (4) Conclusions: Masks-wearing is one of the effective measures for COVID-19 pandemic prevention and control. After the Chinese government made wearing face masks mandatory in public places, most residents in China had developed the habit of wearing masks, contributing to the high rate of masks-wearing in China. However, people in rural areas need to raise their awareness of wearing masks. Meanwhile, the mask-wearing of the isolated individuals needs to be enhanced. |*COVID-19[MESH] |*Masks[MESH] |China[MESH] |Cross-Sectional Studies[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH]Study on Factors of People s Wearing Masks Based on Two Online Surveys(epmc).pdf DeepDyve Pubget Overpricing