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10.1016/j.dhjo.2021.101062 http://scihub22266oqcxt.onion/10.1016/j.dhjo.2021.101062 33495098!7831525!33495098     free     free     free 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       Disabil+Health+J 2021 ; 14 (2): 101062 Nephropedia Template TP {{tp|p=33495098|t=2021. A cross-sectional analysis of trust of information and COVID-19 preventative practices among people with disabilities |pdf=|usr=}}{{33495098}} gab.com Text A cross-sectional analysis of trust of information and COVID-19 preventative practices among people with disabilities JO: Disabil Health J http://www.kidney.de/pget.php?&tw=1&pmid=33495098 #FOAvip BACKGROUND: Trust of information shapes adherence to recommended practices and speed of public compliance during public health crises. This is particularly important for groups with higher rates of high-risk health conditions, including those aged 65 and over and people with disabilities. OBJECTIVE: We examined trust in information sources and associated adherence to COVID-19 public health recommendations among people with disabilities living in metropolitan, micropolitan, and noncore counties. METHODS: We recruited participants using Amazon's Mechanical Turk (MTurk) and screened for disability status (n = 408). We compared sociodemographic groups with t-tests, Pearson's correlations, and Chi-square, as appropriate. We used linear regression to examine factors associated with trust in information and compliance with CDC recommended COVID-19 practices. RESULTS: Nonmetro respondents had the lowest trust ratings among all demographic groups, and reported significantly less trust in most information sources. Respondents aged 65 and over reported the highest compliance with CDC recommended practices, while those from nonmetro areas reported the lowest. A regression model for adherence to CDC recommended practices was significant (F = 11.87, P </= .001), and explained 33% of the variance. Specifically, increased adherence was associated with being over 65, female, and higher general trust scores. Decreased practices were associated with being nonwhite, nonmetro, higher trust scores in President Trump, and having a communication disability. CONCLUSIONS: Trust in information sources is associated with action. It is important to provide clear, consistent, and non-polarizing messages during public health emergencies to promote widespread community action. Twit Text FOAVip A cross-sectional analysis of trust of information and COVID-19 preventative practices among people with disabilities ????Disabil Health J http://www.kidney.de/pget.php?&tw=1&pmid=33495098 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33495098 #FOAvip English Wikipedia <ref>{{Cite pmid|33495098}}</ref> A cross-sectional analysis of trust of information and COVID-19 preventative practices among people with disabilities #MMPMID33495098 Ipsen C; Myers A; Sage R Disabil Health J 2021[Apr]; 14 (2): 101062 PMID33495098show ga BACKGROUND: Trust of information shapes adherence to recommended practices and speed of public compliance during public health crises. This is particularly important for groups with higher rates of high-risk health conditions, including those aged 65 and over and people with disabilities. OBJECTIVE: We examined trust in information sources and associated adherence to COVID-19 public health recommendations among people with disabilities living in metropolitan, micropolitan, and noncore counties. METHODS: We recruited participants using Amazon's Mechanical Turk (MTurk) and screened for disability status (n = 408). We compared sociodemographic groups with t-tests, Pearson's correlations, and Chi-square, as appropriate. We used linear regression to examine factors associated with trust in information and compliance with CDC recommended COVID-19 practices. RESULTS: Nonmetro respondents had the lowest trust ratings among all demographic groups, and reported significantly less trust in most information sources. Respondents aged 65 and over reported the highest compliance with CDC recommended practices, while those from nonmetro areas reported the lowest. A regression model for adherence to CDC recommended practices was significant (F = 11.87, P |*Health Behavior[MESH] |*Health Communication[MESH] |*SARS-CoV-2[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |COVID-19/*prevention & control[MESH] |Cross-Sectional Studies[MESH] |Disabled Persons/*psychology/statistics & numerical data[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Trust/*psychology[MESH]A cross-sectional analysis of trust of information and COVID-19 preven(epmc).pdf DeepDyve Pubget Overpricing