| Literature DB >> 36232086 |
Sam S S Lau1,2,3,4, Eric N Y Shum1, Jackie O T Man1,2, Ethan T H Cheung1,2, Padmore Adusei Amoah5, Angela Y M Leung6, Kevin Dadaczynski7,8, Orkan Okan9.
Abstract
To date, we know little about COVID-19-related health literacy among school leaders, particularly in East Asia. The present study aimed to assess the level of COVID-19-related health literacy and associated factors (vaccine hesitancy, self-endangering behaviour, and work satisfaction) among school leaders in Hong Kong. A cross-sectional study of 259 school leaders was carried out during the COVID-19 pandemic between April 2021 and February 2022. COVID-19-related health literacy using HLS-COVID-Q22, three subscales of self-endangering work behaviour scales (i.e., "extensification of work", "intensification of work" and "quality reduction"), and two dimensions of Burnout Assessment Tool (BAT) (i.e., psychosomatic complaints and exhaustion) were used. The study employed independent sample t-test, ANOVA, and multilinear regression models. The findings show that more than half (53.7%) of school leaders had insufficient health literacy. Participants with insufficient health literacy scored significantly higher in the following factors: exhaustion related to work situation (p = 0.029), psychosomatic complaints (p < 0.001), attitude about vaccination (i.e., less agree with vaccination) (p < 0.001), level of informing on COVID-19 related information (i.e., felt less informed) (p < 0.001), and level of confusion about COVID-19-related information (i.e., felt more confused) (p < 0.001). In a linear regression model predicting attitude about coronavirus vaccination, age (β, -0.188, 95% CI, -0.024, -0.005, p = 0.002) and health literacy (β, -0.395, 95% CI, -0.716, -0.361, p < 0.001) were the negative predictors, F(5, 214) = 11.859, p < 0.001. For the linear regression model adjusted for sex and age for predicting health literacy, the model was insignificant. Despite being a highly educated group, this study reveals that one in two Hong Kong school leaders have insufficient health literacy. Inadequate health literacy was strongly associated with a negative attitude about vaccination, low information, and confusion about COVID-19-related information. Additionally, insufficient health literacy was associated with the two secondary symptoms of burnouts. The study highlights an urgent need to develop intervention programmes to promote the COVID-19-specific as well as overall health literacy of the school leaders.Entities:
Keywords: COVID-19; Hong Kong; health literacy; school heads; school principals; self-endangering work behaviour; vaccine hesitancy; work satisfaction
Mesh:
Year: 2022 PMID: 36232086 PMCID: PMC9566044 DOI: 10.3390/ijerph191912790
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
School leaders’ characteristics, their works, perceived stress, health, COVID-19-related information and health literacy, sense of coherence and well-being (n = 259).
| Variables | Participants, | |
|---|---|---|
| Gender | Male | 146 (56.6) |
| Female | 112 (43.4) | |
| Type of School | Primary School | 66 (25.7) |
| Secondary School | 173 (67.3) | |
| Special School | 18 (7.0) | |
| Position at School | School Principal/Head of School | 210 (81.8) |
| Others # | 49 (19.2) | |
| Self-endangering behaviours, mean ± SD | Extensification of work | 3.61 ± 0.75 |
| Intensification of work | 3.07 ± 0.85 | |
| Quality reduction | 2.51 ± 0.76 | |
| Level of informing on COVID-19 or pandemic related information | Well or very well informed | 114 (44.0) |
| Insufficient/poorly/acceptably informed | 145 (56.0) | |
| Level of confusion due to COVID-19-related information | Not at all/a little confused | 226 (88.3) |
| Quite confused/very confused | 30 (11.7) | |
| Coronavirus vaccination readiness | Certainly/likely | 142 (54.8) |
| Maybe | 20 (7.7) | |
| Certainly not/unlikely | 9 (3.5) | |
| Already vaccinated | 88 (34.0) | |
| Attitudes about vaccination, mean ± SD | 1.75 ± 0.55 | |
| Exhaustion related to work situation | Very high | 82 (31.7) |
| High | 80 (30.9) | |
| Average | 88 (34.0) | |
| Low | 9 (3.5) | |
| Psychosomatic complaints | Very high | 12 (4.7) |
| High | 54 (21.1) | |
| Average | 146 (57.0) | |
| Low | 44 (17.2) | |
# e.g., Member of the school management committee/Incorporated Management Committee, Dean of Admissions, Director of Learning Support, Director of Operations
Health literacy levels and mean scores by participant characteristics using t-tests and ANOVA.
| Variables | Health Literacy Level [%] | Health Literacy Scores | ||
|---|---|---|---|---|
| Insufficient | Sufficient | Mean ( |
| |
| All samples | 53.7 | 46.3 | 3.09 (0.42) |
|
| Gender | ||||
| Female ( | 54.5 | 45.5 | 3.09 (0.38) | 0.589 |
| Male ( | 52.1 | 47.9 | 3.10 (0.42) | |
| School Types | ||||
| Regular School ( | 53.1 | 46.9 | 3.10 (0.47) | 0.280 |
| Special School ( | 55.6 | 44.4 | 2.98 (0.60) | |
| Positions at School | ||||
| Principals ( | 52.4 | 47.6 | 3.10 (0.45) | 0.965 |
| School vice principals ( | 54.8 | 45.2 | 3.08 (0.35) | |
| School assistant principals/Members of the school management committee/Leadership team ( | 54.3 | 54.7 | 3.09 (0.46) | |
| Level of informing on COVID-19-related information | ||||
| Well or very well informed ( | 39.5 | 60.5 | 3.19 (0.46) |
|
| Insufficient/poorly/acceptably informed ( | 65.0 | 35.0 | 3.00 (0.37) | |
| Level of confusion due to COVID-19-related information | ||||
| Not at all/a little confused | 52.2 | 47.8 | 3.12 (0.40) |
|
| Quite confused/very confused ( | 70.0 | 30.0 | 2.90 (0.54) | |
Bold figures indicate p < 0.05.
Score difference in self-endangering behaviours, secondary symptoms of burnout and attitude about vaccination based on the health literacy levels using independent t-test.
| Health Literacy Level | Extensification of Work (SEB) | Intensification of Work (SEB) | Quality Reduction (SEB) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean ( | Mean diff. |
| Mean ( | Mean diff. |
| Mean ( | Mean diff. |
| |
| Sufficient | 3.63 (0.74) | −0.0295 | 0.758 | 2.98 (0.91) | 0.174 | 0.103 | 2.43 (0.80) | 0.135 | 0.128 |
| Insufficient | 3.59 (0.78) | 3.15 (0.79) | 2.57 (0.61) | ||||||
|
|
|
| |||||||
| Mean ( | Mean diff. |
| Mean ( | Mean diff. |
| Mean ( | Mean diff. |
| |
| Sufficient | 3.00 (0.89) | 0.238 |
| 2.17 (0.63) | 0.292 |
| 1.54 (0.47) | 0.400 |
|
| Insufficient | 3.24 (0.80) | 2.46 (0.68) | 1.94 (0.55) | ||||||
|
|
| - | |||||||
| Mean ( | Mean diff. |
| Mean ( | Mean diff. |
| ||||
| Sufficient | 2.30 (0.67) | 0.379 |
| 1.68 (0.64) | 0.312 |
| |||
| Insufficient | 2.68 (0.68) | 1.99 (0.61) | |||||||
Bold figures indicate p < 0.05.
Factors associated with COVID-19-related health literacy score by multiple linear regression analyses #.
| Variables | B(95%CI) | β |
|
|---|---|---|---|
| Age | 0.002 (−0.006, 009) | 0.030 | 0.654 |
| Sex | −0.030 (−0.141, 081) | −0.036 | 0.595 |
| Intensification of work (SEB) | −0.088 (−0.192, 0.016) | −0.180 | 0.095 |
| Extensification of work (SEB) | 0.153 (0.039, 0.231) | 0.247 |
|
| Quality reduction (SEB) | 0.003 (−0.080, 0.086) | 0.005 | 0.939 |
| Exhaustion related to work situation | 0.003 (−0.084, 0.091) | 0.007 | 0.940 |
| Psychosomatic complaints | −0.078 (−0.175, 0.020) | −0.124 | 0.118 |
Bold figure indicates p < 0.05. # The model was adjusted for age and sex.
Associated factors of attitude about vaccine via multiple linear regression analyses #.
| Variables | B(95%CI) | β |
|
|---|---|---|---|
| Age | −0.015 (−0.024, −0.005) | −0.188 |
|
| Sex | 0.077 (−0.063, 0.218) | 0.067 | 0.278 |
| COVID-19-related health literacy | −0.538 (−0.716, −0.361) | −0.395 |
|
| Level of understanding of COVID-19-related information | −0.006 (−0.112, 0.101) | −0.007 | 0.913 |
| Level of confusion due to COVID-19-related information | 0.051 (−0.063, 164) | 0.058 | 0.381 |
Bold figures indicate p < 0.05. # The model was adjusted for age and sex.