| Literature DB >> 35945741 |
Mariam Davtyan1, Toinette Frederick1, Jeff Taylor2, Christopher Christensen2, Brandon J Brown3, Annie L Nguyen4.
Abstract
Since the emergency approval of several therapeutic coronavirus disease 2019 (COVID-19) vaccines in the United States, >500 million doses have been administered. However, there have been disparities in vaccine acceptability and uptake. We examined demographic, human immunodeficiency virus (HIV) disease, and psychosocial factors associated with COVID-19 vaccine acceptability in older adults (≥50 years) living with HIV in the Coachella Valley, California. Participants completed a 1-time anonymous online questionnaire assessing their demographic (i.e., age, race, education, etc), HIV disease (i.e., viral suppression, years living with HIV, acquired immunodeficiency syndrome diagnosis), psychosocial (i.e., HIV-related stigma, personal mastery, depression, etc) characteristics, and COVID-19 vaccine acceptability. Respondents were offered an electronic $20 United States dollar (USD) gift card for survey completion. Descriptive, univariable, and multivariable tests were conducted to analyze the data. Between September 2020 and February 2021, 114 surveys were completed. Eighty-six (75%) agreed/strongly agreed with the COVID-19 vaccine acceptability statement that they saw no problem with receiving a COVID-19 vaccine if one became available. Among those who agreed/strongly agreed, the mean age was 62.2 years (standard deviation = 7.20); 86% self-identified as White; 95% male; 91% with more than high school education; and 31% with annual income <$20,000 USD. Among respondents who disagreed/strongly disagreed, the mean age was 59.9 years (standard deviation = 4.85); 50% self-identified as White; 50% male; 64% with more than high school education; and 4% with annual income <$20,000 USD. In the univariable analyses, those who disagreed/strongly disagreed with the COVID-19 vaccine acceptability statement were significantly more likely to be living with HIV for fewer years, experiencing higher levels of HIV-related stigma and depression, and with lower levels of personal mastery. In the multivariable logistic regression model, self-identification as female vs male and unemployed vs employed was significantly associated with decreased COVID-19 vaccine acceptability (odds ratio = 0.09, 95% confidence interval: 0.01-0.71 and odds ratio = 0.08, 95% confidence interval: 0.01-0.70 respectively), adjusting for ethnicity, marital status, education, disability, years living with HIV, HIV-related stigma, and depression. Additional studies are needed to understand vaccine-related decision-making among older adults living with HIV. Programmatic efforts may also be necessary to disseminate accurate information/resources about COVID-19 vaccines to those with more recent HIV diagnoses, experiencing HIV-related stigma and depression, with lower levels of personal mastery, and facing socioeconomic disparities.Entities:
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Year: 2022 PMID: 35945741 PMCID: PMC9351509 DOI: 10.1097/MD.0000000000029907
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1.Multivariable logistic regression model selection process. AIC = Akaike Information Criterion.
COVID-19 vaccine acceptability, demographic, HIV disease, and psychosocial characteristics of the study population.
| Variable | COVID-19 vaccine acceptability (agree/strongly agree) | COVID-19 vaccine acceptability (disagree/strongly disagree) | |
|---|---|---|---|
| 86 (75%) | 28 (25%) | ||
| Age | Mean = 62.22 (SD = 7.20) | Mean = 59.86 (SD = 4.85) | .05 |
| Race | N = 86 | N = 28 | <.001 |
| White | 74 (86%) | 14 (50%) | |
| Black/African American | 7 (8%) | 7 (25%) | |
| Mixed | 4 (5%) | 3 (11%) | |
| Other | 1 (1%) | 4 (14%) | |
| Ethnicity | N = 80 | N = 27 | |
| Non-Hispanic/Latino | 73 (91%) | 20 (74%) | .04 |
| Hispanic/Latino | 7 (9%) | 7 (26%) | |
| Gender identification | N = 85 | N = 28 | |
| Male | 81 (95%) | 14 (50%) | <.001 |
| Female | 4 (5%) | 13 (46%) | |
| Other | 0 (0%) | 1 (4%) | |
| Sexual orientation | N = 86 | N = 28 | .002 |
| Gay or lesbian | 77 (90%) | 17 (61%) | |
| Heterosexual/straight | 7 (8%) | 6 (21%) | |
| Other | 2 (2%) | 5 (18%) | |
| Marital status | N = 86 | N = 28 | |
| Married/domestic partner | 42 (49%) | 18 (64%) | .03 |
| Single/never married | 32 (37%) | 3 (11%) | |
| Divorced/separated | 7 (8%) | 3 (11%) | |
| Widowed | 5 (6%) | 4 (14%) | |
| Living arrangement | N = 86 | N = 28 | .03 |
| Live with partner/spouse | 41 (48%) | 16 (57%) | |
| Live alone | 33 (38%) | 4 (14%) | |
| Live with others | 12 (14%) | 8 (29%) | |
| Income | N = 84 | N = 28 | <.001 |
| <$20,000 | 26 (31%) | 1 (4%) | |
| $20,000–$49,999 | 22 (26%) | 18 (64%) | |
| $50,000–$74,999 | 12 (14%) | 5 (18%) | |
| >$75,000 | 24 (29%) | 4 (14%) | |
| Education | N = 86 | N = 28 | <.001 |
| Less than high school | 0 (0%) | 4 (14%) | |
| High school | 8 (9%) | 6 (2%) | |
| More than high school | 78 (91%) | 18 (64%) | |
| Employment status | N = 86 | N = 28 | <.001 |
| Employed | 30 (35%) | 13 (46%) | |
| Retired | 35 (41%) | 3 (11%) | |
| Unable to work | 16 (19%) | 1 (4%) | |
| Unemployed | 5 (6%) | 11 (39%) | |
| Disability | N = 85 | N = 28 | .001 |
| No | 46 (54%) | 24 (86%) | |
| Yes | 35 (41%) | 2 (7%) | |
| Declined to answer | 4 (5%) | 2 (7%) | |
| Undetectable viral load | N = 86 | N = 28 | .07 |
| Yes | 77 (90%) | 21 (75%) | |
| No | 9 (10%) | 7 (25%) | |
| History of AIDS diagnosis | N = 86 | N = 28 | >.99 |
| Yes | 53 (62%) | 17 (61%) | |
| No | 33 (38%) | 11 (39%) | |
| Years living with HIV | Mean = 25.35 (SD = 9.69) | Mean = 15.48 (SD = 8.90) | <.001 |
| HIV-related stigma | Mean = 26.76 (SD = 6.71) | Mean = 30.04 (SD = 5.69) | .02 |
| Social support | Mean = 26.12 (SD = 9.14) | Mean = 24.22 (SD = 5.73) | .20 |
| Depression | Mean = 7.74 (SD = 4.98) | Mean = 9.86 (SD = 3.76) | .02 |
| Mindfulness | Mean = 4.02 (SD = 0.89) | Mean = 3.72 (SD = 0.82) | .10 |
| Mastery | Mean = 20.31 (SD = 3.92) | Mean = 17.75 (SD = 3.19) | .001 |
| Ageism | Mean = 12.36 (SD = 8.31) | Mean = 13.89 (SD = 7.89) | .39 |
Multivariable logistic regression analyses for the association of demographic, HIV disease, and psychosocial variables with COVID-19 vaccine acceptability.
| Variable | OR | 95% CI | |
|---|---|---|---|
| Ethnicity | |||
| Hispanic/Latino | 1.54 | 0.07–56.48 | .80 |
| Gender | |||
| Other | NA | NA | >.99 |
| Female | 0.09 | 0.01–0.71 | .03 |
| Marital status | |||
| Divorced/separated | 1.65 | 0.09–68.97 | .76 |
| Single/never married | 4.74 | 0.43–98.08 | .25 |
| Widowed | 2.65 | 0.01–7.73 | .41 |
| Education | |||
| Less than high school | N/A | NA | >.99 |
| High school | 0.45 | 0.03–7.03 | .56 |
| Employment status | |||
| Retired | 10.01 | 0.79–531.59 | .14 |
| Unable to work | 0.32 | 0.01–15.34 | .52 |
| Unemployed | 0.08 | 0.01–0.70 | .03 |
| Disability | |||
| Decline to answer | NA | NA | >.99 |
| Yes | 4.80 | 0.27– 206.63 | .32 |
| Years Living with HIV | 1.05 | 0.95–1.17 | .33 |
| HIV-related stigma | 1.02 | 0.87–1.22 | .81 |
| Depression | 0.86 | 0.64–1.08 | .24 |