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10.1590/0102-311X00268520 http://scihub22266oqcxt.onion/10.1590/0102-311X00268520 34008789!ä!34008789 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cad+Saude+Publica 2021 ; 37 (5): e00268520 Nephropedia Template TP {{tp|p=34008789|t=2021. Tendencias e desigualdades na inseguranca alimentar durante a pandemia de COVID-19: resultados de quatro inqueritos epidemiologicos seriados |pdf=|usr=}}{{34008789}} gab.com Text Tendencias e desigualdades na inseguranca alimentar durante a pandemia de COVID-19: resultados de quatro inqueritos epidemiologicos seriados JO: Cad Saude Publica http://www.kidney.de/pget.php?&tw=1&pmid=34008789 #FOAvip The objective was to analyze trends and inequalities in the prevalence of food insecurity during the COVID-19 pandemic according to sociodemographic factors and social distancing measures. We analyzed data from four serial epidemiological surveys on COVID-19 in May and June 2020, with adults and elderly living in Bage, Rio Grande do Sul State, Brazil. Food insecurity was assessed with the short version of the Brazilian Food Insecurity Scale (EBIA), with the recall period adapted to the beginning of the social distancing period in the city. Sociodemographic characteristics and the adoption of social distancing measures were analyzed, and their associations with food insecurity were assessed with chi-square test. The temporal trend in food insecurity according to these characteristics was assessed via linear regression. Inequalities in food insecurity were assessed with the angular inequality index and concentration index. Of the 1,550 individuals studied, 29.4% (95%CI: 25.0; 34.4) presented food insecurity. Analysis of inequality showed higher concentration of food insecurity among the younger and less educated and those living with five or more residents in the same household. Over the course of the four surveys, prevalence of food insecurity decreased most sharply among the younger, those living in households with up to two residents, and those with two or more workers. There was a strong association between food insecurity and sociodemographic factors, which may indicate the pandemic s potential economic impact on households' food situation. Twit Text FOAVip Tendencias e desigualdades na inseguranca alimentar durante a pandemia de COVID-19: resultados de quatro inqueritos epidemiologicos seriados ????Cad Saude Publica http://www.kidney.de/pget.php?&tw=1&pmid=34008789 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34008789 #FOAvip English Wikipedia <ref>{{Cite pmid|34008789}}</ref> Tendencias e desigualdades na inseguranca alimentar durante a pandemia de COVID-19: resultados de quatro inqueritos epidemiologicos seriados #MMPMID34008789 Santos LPD; Schafer AA; Meller FO; Harter J; Nunes BP; Silva ICMD; Pellegrini DDCP Cad Saude Publica 2021[]; 37 (5): e00268520 PMID34008789show ga The objective was to analyze trends and inequalities in the prevalence of food insecurity during the COVID-19 pandemic according to sociodemographic factors and social distancing measures. We analyzed data from four serial epidemiological surveys on COVID-19 in May and June 2020, with adults and elderly living in Bage, Rio Grande do Sul State, Brazil. Food insecurity was assessed with the short version of the Brazilian Food Insecurity Scale (EBIA), with the recall period adapted to the beginning of the social distancing period in the city. Sociodemographic characteristics and the adoption of social distancing measures were analyzed, and their associations with food insecurity were assessed with chi-square test. The temporal trend in food insecurity according to these characteristics was assessed via linear regression. Inequalities in food insecurity were assessed with the angular inequality index and concentration index. Of the 1,550 individuals studied, 29.4% (95%CI: 25.0; 34.4) presented food insecurity. Analysis of inequality showed higher concentration of food insecurity among the younger and less educated and those living with five or more residents in the same household. Over the course of the four surveys, prevalence of food insecurity decreased most sharply among the younger, those living in households with up to two residents, and those with two or more workers. There was a strong association between food insecurity and sociodemographic factors, which may indicate the pandemic s potential economic impact on households' food situation. |*COVID-19[MESH] |*Pandemics[MESH] |Adult[MESH] |Aged[MESH] |Brazil/epidemiology[MESH] |Cities[MESH] |Cross-Sectional Studies[MESH] |Food Insecurity[MESH] |Food Supply[MESH] |Humans[MESH] |SARS-CoV-2[MESH] |Socioeconomic Factors[MESH]Tendencias e desigualdades na inseguranca alimentar durante a pandemia(epmc).pdf DeepDyve Pubget Overpricing