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10.1177/0141076821999973 http://scihub22266oqcxt.onion/10.1177/0141076821999973 33759630!7994923!33759630     free     free     free 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       J+R+Soc+Med 2021 ; 114 (4): 182-211 Nephropedia Template TP {{tp|p=33759630|t=2021. Ethnicity, household composition and COVID-19 mortality: a national linked data study |pdf=|usr=}}{{33759630}} gab.com Text Ethnicity, household composition and COVID-19 mortality: a national linked data study JO: J R Soc Med http://www.kidney.de/pget.php?&tw=1&pmid=33759630 #FOAvip OBJECTIVE: To estimate the proportion of ethnic inequalities explained by living in a multi-generational household. DESIGN: Causal mediation analysis. SETTING: Retrospective data from the 2011 Census linked to Hospital Episode Statistics (2017-2019) and death registration data (up to 30 November 2020). PARTICIPANTS: Adults aged 65 years or over living in private households in England from 2 March 2020 until 30 November 2020 (n=10,078,568). MAIN OUTCOME MEASURES: Hazard ratios were estimated for COVID-19 death for people living in a multi-generational household compared with people living with another older adult, adjusting for geographic factors, socioeconomic characteristics and pre-pandemic health. RESULTS: Living in a multi-generational household was associated with an increased risk of COVID-19 death. After adjusting for confounding factors, the hazard ratios for living in a multi-generational household with dependent children were 1.17 (95% confidence interval [CI] 1.06-1.30) and 1.21 (95% CI 1.06-1.38) for elderly men and women. The hazard ratios for living in a multi-generational household without dependent children were 1.07 (95% CI 1.01-1.13) for elderly men and 1.17 (95% CI 1.07-1.25) for elderly women. Living in a multi-generational household explained about 11% of the elevated risk of COVID-19 death among elderly women from South Asian background, but very little for South Asian men or people in other ethnic minority groups. CONCLUSION: Elderly adults living with younger people are at increased risk of COVID-19 mortality, and this is a contributing factor to the excess risk experienced by older South Asian women compared to White women. Relevant public health interventions should be directed at communities where such multi-generational households are highly prevalent. Twit Text FOAVip Ethnicity, household composition and COVID-19 mortality: a national linked data study ????J R Soc Med http://www.kidney.de/pget.php?&tw=1&pmid=33759630 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33759630 #FOAvip English Wikipedia <ref>{{Cite pmid|33759630}}</ref> Ethnicity, household composition and COVID-19 mortality: a national linked data study #MMPMID33759630 Nafilyan V; Islam N; Ayoubkhani D; Gilles C; Katikireddi SV; Mathur R; Summerfield A; Tingay K; Asaria M; John A; Goldblatt P; Banerjee A; Glickman M; Khunti K J R Soc Med 2021[Apr]; 114 (4): 182-211 PMID33759630show ga OBJECTIVE: To estimate the proportion of ethnic inequalities explained by living in a multi-generational household. DESIGN: Causal mediation analysis. SETTING: Retrospective data from the 2011 Census linked to Hospital Episode Statistics (2017-2019) and death registration data (up to 30 November 2020). PARTICIPANTS: Adults aged 65 years or over living in private households in England from 2 March 2020 until 30 November 2020 (n=10,078,568). MAIN OUTCOME MEASURES: Hazard ratios were estimated for COVID-19 death for people living in a multi-generational household compared with people living with another older adult, adjusting for geographic factors, socioeconomic characteristics and pre-pandemic health. RESULTS: Living in a multi-generational household was associated with an increased risk of COVID-19 death. After adjusting for confounding factors, the hazard ratios for living in a multi-generational household with dependent children were 1.17 (95% confidence interval [CI] 1.06-1.30) and 1.21 (95% CI 1.06-1.38) for elderly men and women. The hazard ratios for living in a multi-generational household without dependent children were 1.07 (95% CI 1.01-1.13) for elderly men and 1.17 (95% CI 1.07-1.25) for elderly women. Living in a multi-generational household explained about 11% of the elevated risk of COVID-19 death among elderly women from South Asian background, but very little for South Asian men or people in other ethnic minority groups. CONCLUSION: Elderly adults living with younger people are at increased risk of COVID-19 mortality, and this is a contributing factor to the excess risk experienced by older South Asian women compared to White women. Relevant public health interventions should be directed at communities where such multi-generational households are highly prevalent. |*COVID-19/mortality/prevention & control[MESH] |*Housing/standards/statistics & numerical data[MESH] |Age Factors[MESH] |Aged[MESH] |Asian People/statistics & numerical data[MESH] |Child[MESH] |England/epidemiology[MESH] |Family[MESH] |Family Characteristics/*ethnology[MESH] |Female[MESH] |Health Status Disparities[MESH] |Humans[MESH] |Male[MESH] |Mortality/*ethnology[MESH] |Residence Characteristics/*statistics & numerical data[MESH] |Risk Assessment[MESH] |SARS-CoV-2[MESH] |Sex Factors[MESH]Ethnicity, household composition and COVID-19 mortality: a national li(epmc).pdf DeepDyve Pubget Overpricing