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10.1016/j.jadohealth.2020.06.025 http://scihub22266oqcxt.onion/10.1016/j.jadohealth.2020.06.025 32674964!7355323!32674964     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Adolesc+Health 2020 ; 67 (3): 362-368 Nephropedia Template TP {{tp|p=32674964|t=2020. Medical Vulnerability of Young Adults to Severe COVID-19 Illness-Data From the National Health Interview Survey |pdf=|usr=}}{{32674964}} gab.com Text Medical Vulnerability of Young Adults to Severe COVID-19 Illness-Data From the National Health Interview Survey JO: J Adolesc Health http://www.kidney.de/pget.php?&tw=1&pmid=32674964 #FOAvip PURPOSE: COVID-19 morbidity and mortality reports in the U.S. have not included findings specific to young adults. The Centers for Disease Control and Prevention provides a list of conditions and associated behaviors, including smoking, conferring vulnerability to severe COVID-19 illness regardless of age. This study examines young adults' medical vulnerability to severe COVID-19 illness, focusing on smoking-related behavior. METHODS: A young adult subsample (aged 18-25 years) was developed from the National Health Interview Survey, a nationally representative data set, pooling years 2016-2018. The medical vulnerability measure (yes vs. no) was developed, guided by the Centers for Disease Control and Prevention medical indicators. The estimates of medical vulnerability were developed for the full sample, the nonsmoking sample, and the individual risk indicators. Logistic regressions were conducted to examine differences by sex, race/ethnicity, income, and insurance. RESULTS: Medical vulnerability was 32% for the full sample and half that (16%) for the nonsmoking sample. Patterns and significance of some subgroup differences differed between the full and the nonsmoking sample. Male vulnerability was (33%) higher than female (30%; 95% CI: .7-.9) in the full sample, but lower in nonsmokers: male (14%) versus female (19%; 95% CI: 1.2-1.7). The white subgroup had higher vulnerability than Hispanic and Asian subgroups in both samples-full sample: white (31%) versus Hispanic (24%; 95% CI: .6-.9) and Asian (18%; 95% CI: .4-.5); nonsmokers: white (17%) versus Hispanic (13%; 95% CI: .06-.9) and Asian (10%; 95% CI: .3-.8). CONCLUSIONS: Notably, lower young adult medical vulnerability within nonsmokers versus the full sample underscores the importance of smoking prevention and mitigation. Twit Text FOAVip Medical Vulnerability of Young Adults to Severe COVID-19 Illness-Data From the National Health Interview Survey ????J Adolesc Health http://www.kidney.de/pget.php?&tw=1&pmid=32674964 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32674964 #FOAvip English Wikipedia <ref>{{Cite pmid|32674964}}</ref> Medical Vulnerability of Young Adults to Severe COVID-19 Illness-Data From the National Health Interview Survey #MMPMID32674964 Adams SH; Park MJ; Schaub JP; Brindis CD; Irwin CE Jr J Adolesc Health 2020[Sep]; 67 (3): 362-368 PMID32674964show ga PURPOSE: COVID-19 morbidity and mortality reports in the U.S. have not included findings specific to young adults. The Centers for Disease Control and Prevention provides a list of conditions and associated behaviors, including smoking, conferring vulnerability to severe COVID-19 illness regardless of age. This study examines young adults' medical vulnerability to severe COVID-19 illness, focusing on smoking-related behavior. METHODS: A young adult subsample (aged 18-25 years) was developed from the National Health Interview Survey, a nationally representative data set, pooling years 2016-2018. The medical vulnerability measure (yes vs. no) was developed, guided by the Centers for Disease Control and Prevention medical indicators. The estimates of medical vulnerability were developed for the full sample, the nonsmoking sample, and the individual risk indicators. Logistic regressions were conducted to examine differences by sex, race/ethnicity, income, and insurance. RESULTS: Medical vulnerability was 32% for the full sample and half that (16%) for the nonsmoking sample. Patterns and significance of some subgroup differences differed between the full and the nonsmoking sample. Male vulnerability was (33%) higher than female (30%; 95% CI: .7-.9) in the full sample, but lower in nonsmokers: male (14%) versus female (19%; 95% CI: 1.2-1.7). The white subgroup had higher vulnerability than Hispanic and Asian subgroups in both samples-full sample: white (31%) versus Hispanic (24%; 95% CI: .6-.9) and Asian (18%; 95% CI: .4-.5); nonsmokers: white (17%) versus Hispanic (13%; 95% CI: .06-.9) and Asian (10%; 95% CI: .3-.8). CONCLUSIONS: Notably, lower young adult medical vulnerability within nonsmokers versus the full sample underscores the importance of smoking prevention and mitigation. |*Vulnerable Populations[MESH] |Adolescent[MESH] |Adult[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/ethnology[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Health Surveys[MESH] |Humans[MESH] |Male[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/ethnology[MESH] |Severity of Illness Index[MESH] |Smoking/*epidemiology/ethnology/*psychology[MESH] |Socioeconomic Factors[MESH] |United States/epidemiology[MESH]Medical Vulnerability of Young Adults to Severe COVID-19 Illness-Data (epmc).pdf DeepDyve Pubget Overpricing