| Literature DB >> 35925649 |
Shivani N Mehta1,2, Zoe C Burger1, Stephanie A Meyers-Pantele3, Richard S Garfein4, Dayanna O Ortiz1, Pavan K Mudhar2,5, Smit B Kothari2,6, Jigna Kothari2, Meena Meka2, Timothy Rodwell1.
Abstract
BACKGROUND: The Latinx population in the United States has experienced high rates of infection, hospitalization, and death since the beginning of the COVID-19 pandemic. There is little data on the knowledge, attitude, and practices (KAP) specifically in Latinx communities in the United States.Entities:
Keywords: COVID-19; KAP survey; Latinx; Latinx cohort; attitude; epidemiology; knowledge; minority population; practices; primary care; public health; sociodemographic characteristic; vaccine hesitancy; vulnerable population
Year: 2022 PMID: 35925649 PMCID: PMC9359308 DOI: 10.2196/38351
Source DB: PubMed Journal: JMIR Form Res ISSN: 2561-326X
Sociodemographic and clinical characteristics among Latinx clinic attendees in Southern California (N=265).
| Variable, category | Participant | ||
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| Female | 191 (72.1) | |
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| Male | 74 (27.9) | |
| Age (year), mean (IQR) | 49.3 (38.5-59) | ||
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| Single/never married | 84 (31.7) | |
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| Married | 139 (52.5) | |
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| Divorced | 10 (3.8) | |
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| Separated | 19 (7.2) | |
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| Widowed | 11 (4.2) | |
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| Refused to answer | 2 (0.8) | |
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| Middle school or below | 109 (41.1) | |
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| High school | 95 (35.8) | |
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| College degree | 36 (13.6) | |
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| Graduate school | 4 (1.5) | |
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| Refused to answer | 21 (7.9) | |
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| Currently employed | 59 (22.2) | |
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| Lost job or on temporary leave due to COVID-19 | 89 (33.6) | |
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| Unemployed currently and before COVID-19 | 74 (27.9) | |
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| Retired | 40 (15.1) | |
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| Student | 2 (0.8) | |
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| Refused to answer | 1 (0.4) | |
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| <25,000 | 92 (34.7) | |
|
| 25,000-49,999 | 30 (11.3) | |
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| 50,000-99,999 | 18 (6.8) | |
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| ≥100,000 | 7 (2.6) | |
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| Refused to answer | 118 (44.5) | |
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| Yes | 31 (11.7) | |
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| No | 234 (88.7) | |
Bivariate and multivariable analysis of factors associated with COVID-19 knowledge among Latinx individuals in Southern California (N=265).
| Factor | Bivariate analysis, β (95% CI) | Multivariate analysis, aβ (95% CI) | |||
| Age | –0.19 (–0.04 to –0.01) | .002 | –0.01 (–0.03 to 0.01) | .26 | |
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| Female (refa) | —b | — | — | — |
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| Male | –0.04 (–0.34 to 0.72) | .30 | 0.06 (–0.53 to 0.56) | .95 |
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| Married (ref) | — | — | — | — |
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| Single | 0.01 (–0.51 to 0.55) | .93 | — | — |
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| Divorced | 0.09 (–0.24 to 1.63) | .14 | — | — |
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| Widowed | –0.10 (–2.21 to 0.18) | .09 | — | — |
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| Separated | 0.01 (–1.18 to 1.32) | .91 | — | — |
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| <25,000 (ref) | — | — | — | — |
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| 25,000-49,999 | 0.07 (–0.28 to 1.19) | .23 | 0.01 (–0.69 to 0.83) | .87 |
|
| 50,000-99,999 | 0.14 (0.17-2.03) | .02 | 0.09 (–0.28 to 1.69) | .19 |
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| ≥100,000 | 0.13 (0.15-3.06) | .03 | 0.12 (–0.14 to 3.09) | .08 |
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| Middle school or below (ref) | — | — | — | — |
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| High school | 0.26 (0.23-1.23) | .005 | 0.11 (–0.13 to 1.01) | .25 |
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| College degree | 0.36 (0.47-1.89) | .001 | 0.14 (0.01-1.60) | .04 |
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| Graduate degree | 0.96 (0.46-4.24) | .02 | 0.12 (–0.05 to 3.92) | .07 |
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| Lost job or on temporary leave due to COVID-19 (ref) | — | — | — | — |
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| Currently employed | 0.08 (–0.24 to 1.03) | .22 | — | .24 |
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| Unemployed currently and before COVID-19 | –0.01 (–0.63 to 0.55) | .89 | — | .57 |
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| Retired | –0.18 (–1.68 to –0.24) | .009 | — | .53 |
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| Student | –0.06 (–4.13 to 1.27) | .30 | — | .19 |
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| No (ref) | — | — | — | — |
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| Yes | 0.29 (–0.56 to 0.90) | .69 | — | — |
aRef: reference.
bNot available (item was not accessed).
Bivariate and multivariable analysis of factors associated with COVID-19 attitudes among Latinx individuals in Southern California (N=265).
| Factor | Bivariate analysis, β (95% CI) | Multivariate analysis, aβ (95% CI) | |||
| Age | 0.06 (–0.02 to 0.07) | .37 | 0.00 (–0.04 to 0.04) | .96 | |
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| Female (refa) | —b | — | — | — |
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| Male | 1.65 (0.58-2.71) | .003 | 1.61 (0.50-2.72) | .005 |
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| Married (ref) | — | — | — | — |
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| Single | –0.15 (–2.33 to –0.18) | .04 | –0.13 (–2.31 to 0.08) | .07 |
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| Divorced | 0.56 (–2.74 to 1.04) | .14 | –0.03 (–2.45 to 1.44) | .61 |
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| Widowed | 0.07 (–4.35 to 0.71) | .09 | –0.07 (–3.99 to 1.09) | .26 |
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| Separated | –0.09 (–3.95 to 1.11) | .91 | –0.07 (–4.00 to 1.06) | .25 |
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| <25,000 (ref) | — | — | — | — |
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| 25,000-49,999 | –0.01 (–1.68 to 1.38) | .85 | — | — |
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| 50,000-99,999 | 0.02 (–1.68 to 2.17) | .81 | — | — |
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| ≥100,000 | –0.01 (–3.09 to 2.93) | .96 | — | — |
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| Middle school or below (ref) | — | — | — | — |
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| High school | –0.08 (–1.74 to 0.38) | .21 | –0.06 (–1.65 to 0.73) | .45 |
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| College degree | –0.01 (–1.55 to 1.42) | .93 | 0.00 (–1.64 to 1.68) | .98 |
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| Graduate degree | 0.01 (–3.85 to 4.07) | .96 | –0.02 (–4.51 to 3.47) | .80 |
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| Lost job or on temporary leave due to COVID-19 (ref) | — | — | — | — |
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| Currently employed | –0.09 (–1.99 to 0.46) | .96 | — | — |
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| Unemployed currently and before COVID-19 | –0.01 (–1.34 to 1.28) | .22 | — | — |
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| Retired | 0.12 (–0.21 to 2.74) | .09 | — | — |
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| Student | 0.48 (–7.73 to 3.55) | .44 | — | — |
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| No (ref) | — | — | — | — |
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| Yes | –0.05 (–2.06 to 0.88) | .43 | — | — |
aRef: reference.
bNot available (item was not accessed).
Bivariate and multivariable analysis of factors associated with COVID-19 attitudes among Latinx individuals in Southern California (N=265).
| Factor | Bivariate analysis, β (95% CI) | Multivariate analysis, aβ (95% CI) | |||
| Age | 0.04 (–0.01 to 0.01) | .54 | — | — | |
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| Female (refa) | —b | — | — | — |
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| Male | –0.65 (–0.56 to –0.08) | .008 | –0.16 (–0.56 to –0.06) | .03 |
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| Married (ref) | — | — | — | — |
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| Single | 0.05 (–0.16 to 0.33) | .49 | 0.05 (–0.17 to 0.34) | .50 |
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| Divorced | 0.07 (–0.18 to 0.67) | .26 | 0.05 (–0.28 to 0.60) | .47 |
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| Widowed | 0.05 (–0.34 to 0.75) | .46 | 0.04 (–0.38 to 0.71) | .56 |
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| Separated | 0.02 (–0.47 to 0.66) | .74 | 0.03 (–0.46 to 0.71) | .67 |
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| <25,000 (ref) | — | — | — | — |
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| 25,000-49,999 | 0.05 (–0.20 to 0.48) | .43 | 0.04 (–0.24 to 0.46) | .54 |
|
| 50,000-99,999 | –0.08 (–0.69 to 0.16) | .22 | –0.04 (–0.60 to 0.33) | .57 |
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| ≥100,000 | –0.01 (–0.72 to 0.62) | .88 | –0.02 (–0.80 to 0.60) | .77 |
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| Middle school or below (ref) | — | — | — | — |
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| High school | –0.01 (0.25-0.22) | .88 | –0.01 (–1.65 to 0.73) | .89 |
|
| College degree | –0.11 (–0.36 to 0.30) | .87 | –0.00 (–1.64 to 1.68) | .90 |
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| Graduate degree | –0.00 (–0.90 to 0.86) | .96 | 0.01 (–4.51 to 3.47) | .84 |
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| Lost job or on temporary leave due to COVID-19 (ref) | — | — | — | — |
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| Currently employed | 0.07 (–0.15 to 0.44) | .32 | — | — |
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| Unemployed currently and before COVID-19 | 0.05 (–0.18 to 0.36) | .52 | — | — |
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| Retired | 0.12 (–0.04 to 0.62) | .09 | — | — |
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| Student | –0.07 (–1.40 to 1.08) | .80 | — | — |
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| No (ref) | — | — | — | — |
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| Yes | 0.05 (–0.19 to 0.46) | .43 | — | — |
aRef: reference.
bNot available (item was not accessed).
COVID-19 vaccine hesitancy before vaccine availability (N=203).
| View on vaccine, reasons for hesitancy | Participants, n (%) | |
| Willing to take the vaccine (n=111) | 111 (100) | |
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| Don’t think it’s necessary | 2 (5) |
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| Don’t think it will work | 3 (8) |
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| Concerned about the possible side effects | 27 (71) |
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| Worried about the cost and financial burden | 0 (0) |
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| Refused to answer | 6 (16) |
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| Don’t think it’s necessary | 18 (33) |
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| Don’t think it will work | 8 (15) |
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| Concerned about the possible side effects | 23 (43) |
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| Worried about the cost and financial burden | 1 (2) |
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| Refused to answer | 4 (7) |