| Literature DB >> 34926872 |
Sri Lekha Tummalapalli1,2,3, Daniel Cukor2, Andrew Bohmart2,3, Daniel M Levine2,4, Thomas S Parker2,4, Frank Liu2,3, Alan Perlman2,3, Vesh Srivatana2,3, Meghan Reading Turchioe5, Said A Ibrahim1, Jeffrey Silberzweig2,3.
Abstract
Entities:
Year: 2021 PMID: 34926872 PMCID: PMC8667463 DOI: 10.1016/j.ekir.2021.12.006
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Predictors of COVID-19 vaccine intent,a multivariable model (N = 308). aResponse to the question: “An FDA-authorized vaccine for COVID-19 (coronavirus) will soon be available to you for free. Will you get the COVID-19 vaccine? Reply “1” for Yes or “2” for No.” Multivariable logistic regression adjusted for age categories, sex, race/ethnicity, employment status, marital status, Social Vulnerability Index quintile, dialysis modality, and primary cause of kidney failure. bUpper limit of CI truncated. FDA, Food and Drug Administration, HD, hemodialysis; Ref., reference.
Characteristics of participants with positive vaccine intent, by vaccine uptake (n = 242)
| Characteristic | Vaccine intent, vaccine uptake | Vaccine intent, no vaccine uptake | |
|---|---|---|---|
| Sociodemographics | |||
| Age (yr) | |||
| 18–44 | 17 (8) | 7 (41) | 0.001 |
| 45–64 | 97 (43) | 7 (41) | |
| 65–79 | 89 (40) | 3 (18) | |
| ≥80 | 22 (10) | 0 () | |
| Sex | |||
| Male | 141 (63) | 9 (53) | 0.446 |
| Female | 84 (37) | 8 (47) | |
| Race/Ethnicity | |||
| Non-Hispanic White | 82 (36) | 3 (18) | 0.083 |
| Non-Hispanic Black | 78 (35) | 10 (59) | |
| Hispanic | 21 (9) | 1 (6) | |
| Asian or Pacific Islander | 36 (16) | 1 (6) | |
| Other, unknown, or missing | 8 (4) | 2 (12) | |
| Employment | |||
| Full-time or part-time | 52 (23) | 3 (18) | 0.591 |
| Retired (age) | 39 (17) | 2 (12) | |
| Retired (disabled) | 41 (18) | 2 (12) | |
| Unemployed | 17 (8) | 3 (18) | |
| Homemaker, medical leave, or student | 10 (4) | 0 (0) | |
| Missing | 66 (29) | 7 (41) | |
| Marital status | |||
| Married | 96 (43) | 4 (24) | 0.155 |
| Divorced or separated | 19 (8) | 2 (12) | |
| Widowed | 14 (6) | 0 (0) | |
| Single | 55 (24) | 4 (24) | |
| Missing | 41 (18) | 7 (41) | |
| Census tract-level SVI | |||
| Quintile 1 | 46 (23) | 3 (19) | 0.519 |
| Quintile 2 | 44 (22) | 2 (13) | |
| Quintile 3 | 42 (21) | 2 (19) | |
| Quintile 4 | 36 (18) | 3 (19) | |
| Quintile 5 | 28 (14) | 5 (31) | |
| Dialysis-related medical history | |||
| Modality | |||
| In-center hemodialysis | 172 (76) | 12 (71) | 0.325 |
| Peritoneal dialysis | 43 (19) | 3 (18) | |
| Home hemodialysis | 10 (4) | 2 (12) | |
| Primary kidney failure cause | |||
| Diabetes | 73 (32) | 7 (41) | 0.847 |
| Hypertension | 56 (25) | 4 (24) | |
| Glomerulonephritis | 28 (12) | 2 (12) | |
| Cystic kidney disease | 11 (5) | 0 (0) | |
| HIV | 2 (1) | 0 (0) | |
| Malignancy | 5 (2) | 1 (6) | |
| Posttransplant | 21 (9) | 2 (12) | |
| Other or unknown | 29 (13) | 1 (6) | |
SVI, Social Vulnerability Index
Percentages may not add to 100% because of rounding. P values presented for Fisher exact tests for categorical variables.
Among patients with nonmissing SVI. Higher quintile of SVI indicates greater neighborhood social vulnerability.