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10.1136/jech-2020-214475 http://scihub22266oqcxt.onion/10.1136/jech-2020-214475 32503892!7298206!32503892     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32503892&cmd=llinks): Failed to open stream: HTTP request failed! 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Are we all in this together? Longitudinal assessment of cumulative adversities by socioeconomic position in the first 3 weeks of lockdown in the UK |pdf=|usr=}}{{32503892}} gab.com Text Are we all in this together Longitudinal assessment of cumulative adversities by socioeconomic position in the first 3 weeks of lockdown in the UK JO: J Epidemiol Community Health http://www.kidney.de/pget.php?&tw=1&pmid=32503892 #FOAvip BACKGROUND: Despite media claims that coronavirus disease 2019 (COVID-19) is uniting societies and countries in shared experience, there has been concern that the pandemic is in fact exposing and widening existing inequalities within societies. Data have shown these differences for cases and fatalities, but data on other types of adversities are lacking. Therefore, this study explored the changing patterns of adversity relating to the COVID-19 pandemic by socioeconomic position (SEP) during the early weeks of lockdown in the UK. METHODS: Data were from 12 527 UK adults in the University College London COVID-19 Social Study (a panel study that involves online weekly data collection from participants during the COVID-19 pandemic). We analysed data collected from 25 March to 14 April 2020. The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and country of living. We used Poisson and logit models to assess 10 different types of adverse experiences depending on an index of SEP over time. RESULTS: There was a clear gradient across the number of adverse events experienced each week by SEP. This was most clearly seen for adversities relating to finances (including loss of employment and cut in income) and basic needs (including access to food and medications) but less for experiences directly relating to the virus. Inequalities were maintained with no reductions in discrepancies between socioeconomic groups over time. CONCLUSIONS: There were clear inequalities in adverse experiences during the COVID-19 pandemic in the early weeks of lockdown in the UK. Results suggest that measures taken to try to reduce such adverse events did not go far enough in tackling inequality. Twit Text FOAVip Are we all in this together Longitudinal assessment of cumulative adversities by socioeconomic position in the first 3 weeks of lockdown in the UK ????J Epidemiol Community Health http://www.kidney.de/pget.php?&tw=1&pmid=32503892 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32503892 #FOAvip English Wikipedia <ref>{{Cite pmid|32503892}}</ref> Are we all in this together? Longitudinal assessment of cumulative adversities by socioeconomic position in the first 3 weeks of lockdown in the UK #MMPMID32503892 Wright L; Steptoe A; Fancourt D J Epidemiol Community Health 2020[Sep]; 74 (9): 683-688 PMID32503892show ga BACKGROUND: Despite media claims that coronavirus disease 2019 (COVID-19) is uniting societies and countries in shared experience, there has been concern that the pandemic is in fact exposing and widening existing inequalities within societies. Data have shown these differences for cases and fatalities, but data on other types of adversities are lacking. Therefore, this study explored the changing patterns of adversity relating to the COVID-19 pandemic by socioeconomic position (SEP) during the early weeks of lockdown in the UK. METHODS: Data were from 12 527 UK adults in the University College London COVID-19 Social Study (a panel study that involves online weekly data collection from participants during the COVID-19 pandemic). We analysed data collected from 25 March to 14 April 2020. The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and country of living. We used Poisson and logit models to assess 10 different types of adverse experiences depending on an index of SEP over time. RESULTS: There was a clear gradient across the number of adverse events experienced each week by SEP. This was most clearly seen for adversities relating to finances (including loss of employment and cut in income) and basic needs (including access to food and medications) but less for experiences directly relating to the virus. Inequalities were maintained with no reductions in discrepancies between socioeconomic groups over time. CONCLUSIONS: There were clear inequalities in adverse experiences during the COVID-19 pandemic in the early weeks of lockdown in the UK. Results suggest that measures taken to try to reduce such adverse events did not go far enough in tackling inequality. |*Coronavirus Infections/economics/epidemiology[MESH] |*Cost of Illness[MESH] |*Pneumonia, Viral/economics/epidemiology[MESH] |*Socioeconomic Factors[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Economic Recession[MESH] |Female[MESH] |Humans[MESH] |Income/*statistics & numerical data[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics/*economics/prevention & control[MESH] |Quality of Life/*psychology[MESH] |Quarantine/*economics/psychology[MESH] |SARS-CoV-2[MESH] |Sickness Impact Profile[MESH] |Social Conditions[MESH] |United Kingdom/epidemiology[MESH]Are we all in this together? Longitudinal assessment of cumulative adv(epmc).pdf DeepDyve Pubget Overpricing