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10.3390/nu12092682 http://scihub22266oqcxt.onion/10.3390/nu12092682 32887422!7551067!32887422     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 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32887422.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nutrients 2020 ; 12 (9): � Nephropedia Template TP {{tp|p=32887422|t=2020. Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic |pdf=|usr=}}{{32887422}} gab.com Text Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic JO: Nutrients http://www.kidney.de/pget.php?&tw=1&pmid=32887422 #FOAvip The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; p = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; p = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic. Twit Text FOAVip Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic ????Nutrients http://www.kidney.de/pget.php?&tw=1&pmid=32887422 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32887422 #FOAvip English Wikipedia <ref>{{Cite pmid|32887422}}</ref> Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic #MMPMID32887422 Kent K; Murray S; Penrose B; Auckland S; Visentin D; Godrich S; Lester E Nutrients 2020[Sep]; 12 (9): � PMID32887422show ga The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; p = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; p = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic. |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |COVID-19[MESH] |Coronavirus Infections/complications/economics/*epidemiology[MESH] |Cross-Sectional Studies[MESH] |Demography[MESH] |Educational Status[MESH] |Employment[MESH] |Family[MESH] |Female[MESH] |Food Supply/economics/*statistics & numerical data[MESH] |Humans[MESH] |Income[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics/economics[MESH] |Persons with Disabilities[MESH] |Pneumonia, Viral/complications/economics/*epidemiology[MESH] |Prevalence[MESH] |Risk Factors[MESH] |Rural Population[MESH] |Sex Factors[MESH] |Socioeconomic Factors[MESH] |Tasmania/epidemiology[MESH]Prevalence and Socio-Demographic Predictors of Food Insecurity in Aust(epmc).pdf DeepDyve Pubget Overpricing