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Question: Look Closely At Table 2. These Are The Results For Objectives 1 And 2. Describe The Following Results By Looking At The Table. [Please Note That The Numbers Represent The % Vulnerable, N, And 95% CI. Please Ignore The 95% Confidence Intervals (95% CI)]. A) What Was The Prevalence Of Medical Vulnerability To Severe COVID-19 In The Entire Sample, And …

Question: Look Closely At Table 2. These Are The Results For Objectives 1 And 2. Describe The Following Results By Looking At The Table. [Please Note That The Numbers Represent The % Vulnerable, N, And 95% CI. Please Ignore The 95% Confidence Intervals (95% CI)]. A) What Was The Prevalence Of Medical Vulnerability To Severe COVID-19 In The Entire Sample, And …

Male Me Young adult COVID-19 medical vulnerability: full sample and within nonsmoking population rates and differences, ages

Look closely at Table 2. These are theresults for objectives 1 and 2. Describe the following resultsby looking at the table. [Please note that thenumbers represent the % vulnerable, N, and 95% CI. Please ignorethe 95% confidence intervals (95% CI)].

A) What was the prevalence of medicalvulnerability to severe COVID-19 in the entire sample, and amongnon-smokers? (2 points)

B) How did males and females differin their respective prevalence of medical vulnerability to severeCOVID-19 in the entire sample versus among non-smokers? In otherwords, was there a difference by gender, and in which direction wasit for the whole sample versus nonsmokers only? Please cite actualprevalence proportions along with your statements.

C)        Among the entiresample and among non-smokers, what was the prevalence of medicalvulnerability to severe COVID-19 for everyracial/ethnic group, except non-Hispanic others? Which of thesegroups had the highest prevalence of medical vulnerability in theentire sample? In the nonsmokers?

D)        Was there a pattern ofprevalence of medical vulnerability by income category among theentire sample? In which direction was it?

E)        Which insurance statushad the lowest prevalence of medical vulnerability in the entiresample? What, specifically, was this prevalence?

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Male Me Young adult COVID-19 medical vulnerability: full sample and within nonsmoking population rates and differences, ages 18-25 years, NHIS 2016-2018 COVID-19 medical COVID-19 medical vulnerability: vulnerability: YA full YA sample nonsmoking (N=8,405) subsample (N = 6,741) % Vulnerable % Vulnerable (N) (95% CI) (N) (95% CI) Analytic samples 31.5 (2.765) 16.1 (1.101) Sex Female 29.7 (1.346) 18.6 (705) (.7-9) (1.2-1.7)** 33.3 (1.419) 13.4 (396) Race/ethnicity NH white Rif 35.4 (1.800) 17.1 (648) NH black 31.1 (321) 19.6 (171) (.6-9)* (-9-1.5) Hispanic 24.0 (390) 13.1 (184) (4-6) ** (.6-9)* NH Asian 17.7 (99) 9.5 (40) (2-5)** (-3-8)* NH other 39.4 (155) 20.1 (58) (-8-1.5) (-8-1.7) Income category <100% FPL 34.9 (952) 19.0 (412) (1.3-1.9)** (1.1-1.8) 100%-<200% FPL. 35.6 (669) 17.7 (237) (1.3-2.0)** (1.0-1.8) 200%-<400% FPL. 30.2 (696) 14.7 (260) (1.0-1.5) (.8-1.4) >400% FPLR 26.8 (449) 14.3 (192) Insurance status Full-year insured Kel 29.7 (2.090) 15.8 (883) Partial-year 39.8 (353) 19.2 (123) uninsured (1.3-1.9)** (-9-1.6) Full-year uninsured 36.6 (235) 13.1 (59) (1.1-1.9) (.6-12) Bolded values highlight significant differences. Ref indicates referent group. COVID-19 = coronavirus disease 2019: FPL = Federal Poverty Level: NH = non-Hispanic: NHIS = National Health Interview Survey; YA = young adult.




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