Abstract
Purpose
In Ethiopia, more than 26 million students have been out of the classroom for nearly 9 months. On 18 September, the Ethiopian Minister of Health advised the Parliament the possibility of reopening schools provided certain conditions were met. Schools are currently reopening in the country for the first time since March 2020.
Objective
This study assessed the knowledge and preventive health behaviours toward COVID-19 and associated factors among secondary school students.
Design, setting, participants and outcome measures
An institution-based cross-sectional study was conducted from October to December 2020 in Gondar city, Northwest Ethiopia. A total of 370 secondary school students were included. Bivariable and multivariable ordinal logistic regression model were fitted to identify the predictors of knowledge about COVID-19. Simple and multiple linear regression analysis were done to identify factors associated with preventive behaviour. A p<0.05 was used to declare statistical significance.
Results
Only one-fourth (23.5%, 95% CI 19.5% to 28.1%) of the participants had a good knowledge about COVID-19. The mean score of preventive behaviour was 22.8±SD 6.2. Marital status, religion, father education, living arrangement and sources of information were significantly associated with knowledge about COVID-19. Being female and using health professionals as source of information increased the engagement in preventive behaviours. On the other hand, student whose father employed in non-governmental organisation and other jobs had decreased engagement in preventive health behaviours.
Conclusion
Significant number of the students had inadequate knowledge about COVID-19 and poorly engaged in COVID-19 preventive behaviour. Thus, it is suggested to include and disseminate about COVID-19 in related academic sessions, using school clubs and minimedias. The sources of COVID-19-related information need to strengthen the dissemination of tailored, credible and timely message to enhance the knowledge and engagement of the students in preventive behaviours.
Keywords: COVID-19, public health, preventive medicine
Strengths and limitations of this study.
Unlike other studies, this study used self-administered approach with COVID-19 safety precautions taken during questionnaire distribution.
A standardised questionnaire with high validity and reliability was used in the study.
Study provides an insight into students’ knowledge and perspectives on COVID-19 preventive behaviours in reopened schools.
Our study may be limited by social desirability bias due to self-report of the participants.
Besides, the study could not show a cause-and-effect relationship, and the findings represent the situation during the study period.
Background
The novel SARS-CoV-2 or COVID-19 was first reported in December 2019, in Wuhan, Hubei Province, China.1 WHO declared the coronavirus disease as a global pandemic on 11 March 2020.2 The COVID-19 is affecting 219 countries and nowadays, it is a public health emergency throughout the world.3 The fast spread of the disease has taken so many lives and caused massive disruption to families, societies and economies all over the world.4 The latest statistics reveal that coronavirus has infected more than 101 457 202 people until 21 21 January 2021, and led to the deaths of more than 2 184 619 people worldwide.3
The Ethiopian Minister of Health announced the first confirmed the first case of COVID-19 in Ethiopia on 13 March 2020.5 6 Then after the government of Ethiopia took different public health measures to prevent the spread of the disease. All primary, secondary and tertiary educational institutions across the country were closed and all public gatherings were banned, impacting more than 26 million students. Hand washing and social distancing were the main preventive measures communicated to the general public.7 8 On 8 April 2020, Ethiopian government declared a State of emergency to intensify the control and prevention of the spread of the disease.5 As of 27 January 2021, there were 134 569 confirmed COVID-19 cases and 2075 deaths from the disease.9
On 18 September, the Ethiopian Minister of Health advised Parliament that it was possible to reopen schools provided certain conditions were met. The ministry adapted the global guidance for reopening schools to make them safer and established structures to facilitate the process of reopening.10 The knowledge on mode of disease transmission, basic hygiene principles and other public health measures are important for effective control measures.11 The government of Ethiopia is using different strategies to enhance the knowledge, attitude and practices towards COVID-19 prevention measures and are not motivating the response to COVID-19.5 12
During such pandemic the WHO advices everybody to take responsibility and adopt protective behaviours.13 The lack of knowledge about the disease would be one of the most common driving factors for poor adoption of COVID-19 prevention measures and may increase the spread of the disease as well as the number of new cases.14 15 Studies conducted in Ethiopian reported contradicting findings regarding knowledge and practices towards COVID-19 preventive measures among different population.16 Some reported the existence of good knowledge about COVID-19 and level of prevention practice17 while others reported poor knowledge and poor practice related to COVID-19 preventive practice.16–18 Some studies suggested to consider individuals risk perception as a major factor to promote the adherence of preventive measures.5 12 19
Secondary school students have poor knowledge and healthy preventive practices towards COVID-19. The exposure to education intervention had improved knowledge, attitude and practice of the students.20 On the other hand, high school students in Ghana had substantial level of knowledge and positive perception of COVID-19.21 A couple studies in Europe revealed secondary school present a good level of knowledge, shows appropriate practice and positive attitude towards COVID-19 at the time of its outbreak.22 23
The Ethiopian government is using an adopted Risk Communication and Community Engagement strategic approach to empower people to adopt preventive and health-seeking behaviours contributing to a reduction in the spread of COVID-19.5 24 The Ethiopian Ministry of Health and Ethiopian Public Health Institute are proactively working on disseminating prevention messages on radio and television, at federal and regional levels, reaching a potential audience of 30 million people.25 In addition, volunteers conducted mobilisation activities against COVID-19 in marketplaces, slums and congested public places.26 However, the knowledge and practices towards COVID-19 among the public is not sufficient enough to tackle the rapidly transmitted disease and undermined the preparedness and responses in the country.5
In Ethiopia, Schools are reopening after several months of closure. As schools reopen, strict precautionary measures are in place to protect students, teachers, non-teaching staff within the school and community from COVID-19. In such case, the reopening of schools brings an opportunity to empower students as agents of change to adopt the recommended positive behaviours to prevent the spread of COVID-19.27 Improved awareness and adaption of preventive behaviours among students facilitate positive changes in the general population through health messages and observation learning. Therefore, we need to understand the magnitude of COVID-19-related knowledge and preventive practice among students in the re-opened high schools. In addition, we also assessed whether sociodemographic, social support and source of COVID-19-related information were associated with the knowledge, and preventive health behaviour towards COVID-19.
Methods
Study design and area
An institutional-based cross-sectional study design was conducted in Gondar city from November to27 December 2020. Gondar city administration is located at about 727 km away from Addis Ababa, the capital city of Ethiopia, and 180 km away from Bahirdar the capital city of Amhara Regional State. In the city, there are 12 governments and 5 private high schools (grades 9–12) with more than 23 200 students.28
Sample size and sampling procedure
The sample size was calculated using a single population proportion formula; considering 50% (since no previous study found) proportion of students who have good preventive health practice towards COVID-19, 95% CI, marginal error (d) of 5% and 5% non-response rate. The final sample size was estimated to be 403 participants. The adequacy of the sample size for identifying the predictors of COVID-19-related knowledge preventive behaviour was evaluated using power analysis.
Stratified simple random sampling technique was used to select the study participants. First, stratification was done based on school ownership into private and governmental schools. Then, four governmental (Fasiledes, Fasiledes Third, Azezo and Hidar 11) and two private secondary schools (Debreselam and Waliya) were selected on random basis. Finally, study participants were selected randomly based on their class roaster using Microsoft excel random number generator.
Study variables
Preventive health behaviours
Refers to the participant’s practice concerning, hand washing, physical distancing, facemask wearing so as to prevent COVID-19 infection. It was measured by eight items having five-point response rate ranging from 1 (Never) to 5 (always). The composite score of the preventive behaviours ranged from 7 to 35. The higher score indicates compliance behaviour.
Knowledge of COVID-19
Refers to participant’s cognition of symptoms, nature and preventive measures of COVID-19. It was measured by 17 items having three response categories (1=true, 2=false and 3=I don’t know). A correct answer was coded as 1 point whereas, the incorrect and unknown answer was recoded as zero. The composite score ranged from 0 to 17 and categorised using Bloom’s cut-off point, as low-level of knowledge (less than 60%; less than 12 score), moderate level of knowledge (60%–80%; 13–14 score) and good level of knowledge (80%–100%; 15 and above score).29
Data collection tools and procedures
The data were collected by using pretested self-administered questionnaire adapted from different literatures.15 17 The questionnaire was prepared in English, then translated to the local language, Amharic. Trained four BSc nurses and two Masters of public health professionals collected the data and supervised the data collection process, respectively. COVID-19 safety measures (physical distancing, wearing masks and hand hygiene) were taken during the data collection process. The questionnaire had five sections including sociodemographic, social support, source of COVID-19-related information, knowledge and preventive health behaviour. Content validity and pretest was done with six experts panel discussion and 20 students. It was determined by Item level Content Validity Index (I-CVI) of 0.78 or higher, Scale level CVI by Universal Agreement (S-CVI) 0 f 0.8 or higher and S-CVI by Average 0.9 or higher. Data collectors and supervisors took 1-day training on the objective of the study, content of the questionnaire and ethical issues need to be taken during the data collection process (see the research tool at online supplemental file).
bmjopen-2021-050189supp001.pdf (85.9KB, pdf)
Data processing and analysis
Each questionnaire was reviewed for completeness and consistency on daily basis. The internal consistency of the items was checked by Cronbach’s alpha. The collected data entered in to EpiData V.4.6 and exported into to STATA V.14 statistical software for analysis. Multicollinearity among the independent variables was assessed using variance inflation factors and was in the acceptable range. Descriptive statistics was used to quantify the magnitude of preventive healthy behaviour, knowledge and describe the characteristic of the participant. Bivariable and multivariable ordinal logistic regression model was fitted to identify the factors associated with knowledge of COVID-19. Those variables with a p<0.25 in the bivariable model were fitted in the multivariable model. The assumptions of ordinal logistic regression were checked using χ2 and parallel line tests (the model was well fitted with the data). Normality and homogeneity of variances were checked for preventive health behaviour (the variable was normally distributed). Simple linear regression analysis was computed and all independent variables with p<0.25 were entered in multiple linear regression. An unstandardized β coefficient was used to interpret the effect of predictors to preventive health behaviour. Variables with p value less than 0.05 at 95% CI were considered as statistically significant.
Patient and public involvement
This research was done without involving patient on the design and implementation. But the participants and administrative officials were informed about study objectives. The results will be disseminated to Gondar city education office and through open access publication.
Results
Sociodemographic characteristics
A total of 370 respondents were participated with a response rate of 91.8%. The non-response was due to not replying to items on the questionnaire (4.0%), inconsistent responses (2.4%) and not volunteered without reason (1.8%). More than half of the participant (51.9%) were females. The higher proportion of the participant were affiliated with Orthodox religion (87.6%), single (84.6%) and live with their parents (64.1%). The mean age of participants 18.0±1.8 years with the minimum 15 and maximum 30 years (table 1). With regard to sources of information, television (55.4%) was the most common source of information about COVID-19 (figure 1).
Table 1.
Sociodemographic characteristics of secondary school students in Gondar city, Northwest Ethiopia, 2021 (n=370)
| Variables | Description | Knowledge about COVID-19 | P value | ||
| Poor n (%) | Moderate n (%) | Good n (%) | |||
| Age | 15–19 | 150 (84.7) | 95 (89.6) | 77 (88.5) | 0.446 |
| 20–30 | 27 (15.3) | 11 (10.4) | 10 (11.5) | ||
| Sex | Male | 86 (49.2) | 51 (47.2) | 41 (47.1) | 0.0499 |
| Female | 90 (50.8) | 56 (52.8) | 46 (52.9) | ||
| Marital status | Single | 142 (80.2) | 96 (90.6) | 75 (86.2) | 0.059 |
| Engaged/married | 35 (19.8) | 10 (9.4) | 12 (13.8) | ||
| Grade | 10th | 80 (45.2) | 39 (36.8) | 38 (43.7) | 0.495 |
| 11th | 39 (22.0) | 33 (31.1) | 21 (24.1) | ||
| 12th | 58 (32.8) | 34 (32.1) | 28 (32.2) | ||
| Religion | Orthodox | 161 (90.9) | 91 (85.8) | 72 (82.8) | 0.344 |
| Muslim | 14 (7.9) | 13 (12.3) | 12 (13.8) | ||
| Others | 2 (1.2) | 2 (1.9) | 3 (3.4) | ||
| Mother’s occupation | Housewife | 126 (71.2) | 75 (70.8) | 61 (70.1) | 0.986 |
| Government employee | 20 (11.3) | 15 (14.2) | 12 (13.8) | ||
| Marchant | 17 (9.6) | 9 (8.5) | 7 (8.1) | ||
| NGO employee | 5 (2.8) | 4 (3.8) | 4 (4.6) | ||
| Farmer | 4 (2.3) | 1 (0.9) | 2 (2.3) | ||
| Other | 5 (2.8) | 2 (1.9) | 1 (1.2) | ||
| Father’s occupation | Government employee | 34 (19.2) | 28 (26.4) | 30 (34.5) | 0.039 |
| NGO employee | 17 (9.6) | 11 (10.4) | 14 (16.1) | ||
| Merchant | 43 (24.3) | 29 (27.4) | 21 (24.1) | ||
| Farmer | 72 (40.7) | 31 (29.3) | 18 (20.7) | ||
| other | 11 (6.2) | 7 (6.6) | 4 (4.6) | ||
| Mother’s educational status | Unable to read and write | 71 (40.1) | 32 (30.2) | 28 (32.2) | 0.151 |
| Able to read and write | 41 (23.2) | 32 (30.2) | 16 (18.4) | ||
| Primary education | 31 (17.5) | 12 (11. 3) | 16 (18.4) | ||
| Secondary education | 24 (13.6) | 18 (17.0) | 17 (19.5) | ||
| Diploma and above | 10 (5.7) | 12 (11.3) | 10 (11.5) | ||
| Father’s educational status | Unable to read and write | 39 (22.0) | 10 (9.4) | 15 (17.2) | 0.001 |
| Able to read and write | 59 (33.3) | 37 (34.9) | 20 (23.0) | ||
| Primary education | 27 (15.2) | 20 (18.9) | 12 (13.8) | ||
| Secondary education | 34 (19.2) | 23 (21.7) | 13 (14.9) | ||
| Diploma and above | 18 (10.2) | 16 (15.1) | 27 (31.0) | ||
| Living arrangement | With mother/father | 103 (58.2) | 70 (66.0) | 64 (73.6) | 0.057 |
| With siblings | 25 (14.1) | 13 (12.3) | 11 (12.6) | ||
| With relatives | 14 (7.9) | 12 (11.3) | 5 (5.8) | ||
| Alone | 31 (17.5) | 8 (7.6) | 4 (4.6) | ||
| Other | 4 (2.3) | 3 (2.8) | 3 (3.5) | ||
Figure 1.
Source of information about COVID-19 among secondary school students in Gondar city, Northwest Ethiopia, 2021 (n=370).
Knowledge about COVID-19
The reliability test of the knowledge about COVID-19 items for Cronbach’s alpha was 0.79 According to the Blooms cut-off point nearly half (47.8%) of the participant had low knowledge about COVID-19. Only one-fourth of them (23.5%) had a good knowledge (figure 2). Table 2 also presents the details of knowledge about COVID-19.
Figure 2.
Knowledge status about COVID-19 among secondary school students in Gondar city, Northwest Ethiopia, 2021 (n=370).
Table 2.
Knowledge about COVID-19 among secondary school students in Gondar city, Northwest Ethiopia, 2021 (N=370)
| S. no | Knowledge items | Frequency (%) | |
| Wrong | Correct | ||
| K1 | Main clinical symptoms of COVID-19 are fever, cough, shortness of breath and fatigue | 45 (12.2) | 325 (87.8) |
| K2 | Unlike the common cold, stuffy nose, runny nose and sneezing are less common in persons infected with the COVID-19 virus | 221 (59.7) | 149 (40.3) |
| K3 | COVID-19 symptoms appear within 2–14 days | 120 (32.4) | 250 (67.6) |
| K4 | Currently, there is no effective treatment or vaccine for COVID-2019, but early symptomatic and supportive treatment can help most patients to recover from the infection. | 160 (43.2) | 210 (56.8) |
| K5 | Not all persons with COVID-19 will develop severe cases. Those who are elderly, have chronic illnesses, and with suppressed immunity are more likely to be severe cases | 184 (49.7) | 186 (50.3) |
| K6 | The corona virus can infect children and adolescents. | 136 (36.8) | 234 (63.2) |
| K7 | Touching or shaking hands of an infected person would result in the infection by theCOVID-19 virus. | 108 (29.2) | 262 (70.8) |
| K8 | Touching an object or surface with the virus on it, then touching your mouth, nose or eyes with the unwashed hand would result in the infection by the COVID-19 virus | 63 (17.0) | 307 (83.0) |
| K9 | The COVID-19 virus spreads via respiratory droplets of infected individuals through the air during sneezing or coughing of infected patients. | 75 (20.3) | 295 (79.7) |
| K10 | Persons with COVID-19 cannot infect the virus to others if he has no any symptom of COVID-19 | 97 (26.2) | 273 (73.8) |
| K11 | Wearing masks when moving out of home is important to prevent the infection with COVID-19 virus | 126 (34.1) | 244 (65.9) |
| K12 | Children and young adults do not need to take measures to prevent the infection by the COVID-19 virus | 101 (27.3) | 269 (72.7) |
| K13 | To prevent the COVID-19 infection, individuals should avoid going to crowded places such as public transportations, religious places, hospitals and workplaces | 100 (27.0) | 270 (73.0) |
| K14 | Washing hands frequently with soap and water for at least 20 s or use an alcohol-based hand sanitiser (60%) is important to prevent infection with COVD-19 | 123 (33.2) | 247 (66.8) |
| K15 | Travelling to an infectious area or having contact with someone travelled to an area where the infection present is a risk for developing an infection | 98 (26.5) | 272 (73.5) |
| K16 | Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virus | 78 (21.1) | 292 (78.9) |
| K17 | People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place. | 85 (23.0) | 285 (77.0) |
Preventive health behaviour
The reliability test of the preventive health behaviour items for Cronbach’s alpha was 0.79. The mean of preventive health behaviour was 22.8 with SD of 6.2. Two hundred and four (55.1%, 95% CI 50.0% to 60.2%) respondents scored above the mean score of preventive health behaviour (table 3).
Table 3.
COVID-19 preventive behaviours among secondary school students in Gondar city, Northwest Ethiopia, 2021 (n=370)
| S. no | Items | Mean | SD |
| PH1 | I keep a distance of at least 2 m from others. | 2.66 | 1.28 |
| PH2 | I place a tissue paper or bending elbow in front of my mouth and nose when coughing or sneezing. | 3.26 | 1.33 |
| PH3 | I don't shake hands with others and don't kiss them. | 2.92 | 1.30 |
| PH4 | I don't leave the house unless absolutely necessary | 2.66 | 1.32 |
| PH5 | I wash my hands regularly with soap and water for at least 20 s every hour. | 2.85 | 1.28 |
| PH6 | I do not touch my eyes, nose and mouth by hands. | 2.76 | 1.32 |
| PH7 | I wash my hands with soap and water before touching anything while entering home. | 2.98 | 1.44 |
| PH8 | I wear facemask consistently whenever I go out to my home. | 2.69 | 1.39 |
| Overall preventive behaviour standard score | 2.85 | 0.77 |
Predictors of knowledge about COVID-19
Of the variables satisfied the assumption of proportional odds model, age, marital status, religion, father’s educational status, father’s occupation, living arrangement and sources of information for COVID-19 were associated with knowledge of COVID-19 with a p<0.25. After controlling the confounding variables, marital status, religion, father’s education, living arrangement and sources of information were significantly associated with knowledge about COVID-19. The result of ordinal logistic regression analysis showed that the odds of having good knowledge (verses medium or poor knowledge) were 0.47 times lower for engaged/married students as compared with single students (adjusted OR, AOR=0.47, 95% CI 0.25, 0.90). The odds of having good knowledge was nearly 7.71 times higher for students affiliated with other religion as compared with those affiliated with Orthodox (AOR=1.78, 95% CI 1.24 to 2.55). Students belong to fathers with diploma and above education were 2.56 times higher odds of good knowledge than students belong to father with no education (AOR=2.56, 95% CI 1.07 to 6.12). The odds of having good knowledge was nearly 0.32 times lower for students living alone than those who lived with their parents (AOR=0.32, 95% CI 0.15 to 0.69). Students who used television (AOR=6.68, 95% CI 2.73 to 16.36), radio (AOR=2.91, 95% CI 1.04 to 8.11) and health profession (AOR=4.15, 95% CI 1.51 to 11.40) as sources of information on COVID-19 were 6.68, 2.91 and 4.15 times higher odds of good knowledge than those who used Facebook, respectively (table 4).
Table 4.
Predictors of knowledge about COVID-19 among secondary school students in Gondar city, North West Ethiopia, 2021 (n=370)
| Variable | Regression coefficient | SE | P value | Adjusted OR | 95% CI for AOR | |
| Age | 15–19 (ref.) | |||||
| 20–30 | 0.19 | 0.34 | 0.58 | 1.21 | 0.62 to 2.37 | |
| Marital status | Single (ref.) | |||||
| Engaged/married | −0.75 | 0.33 | 0.02 | 0.47 | 0.25 to 0.90 | |
| Religion | Orthodox (ref.) | |||||
| Muslim | 0.40 | 0.35 | 0.25 | 1.46 | 0.74 to 2.89 | |
| Other* | 2.04 | 0.84 | 0.01 | 7.71 | 1.50 to 39.66 | |
| Father’s educational status | Unable to read and write (ref.) | |||||
| Able to read and write | 0.28 | 0.33 | 0.39 | 1.33 | 0.69 to 2. 55 | |
| Completed primary school | 0.22 | 0.39 | 0.57 | 1.24 | 0.58 to 2.66 | |
| Completed secondary school | 0.06 | 0.39 | 0.89 | 1.06 | 0.49 to 2.30 | |
| Diploma and higher | 0.94 | 0.44 | 0.03 | 2.56 | 1.07 to 6.12 | |
| Father’s occupation | Government employee (ref.) | |||||
| NGO employee | 0.29 | 0.38 | 0.44 | 1.34 | 0.64 to 2.80 | |
| Merchant | −0.44 | 0.33 | 0.18 | 0.64 | 0.34 to 1.23 | |
| Farmer | −0.41 | 0.37 | 0.27 | 0.67 | 0.32 to 1.38 | |
| Other | −0.75 | 0.48 | 0.12 | 0.47 | 0.18 to 1.20 | |
| Living arrangement | Parents (ref.) | |||||
| Siblings | −0.26 | 0.33 | 0.44 | 0.77 | 0.41 to 1.47 | |
| Relatives | −0.30 | 0.38 | 0.44 | 0.74 | 0.35 to 1.57 | |
| Alone | −1.14 | 0.40 | 0.00 | 0.32 | 0.15 to 0.69 | |
| Others | −0.27 | 0.66 | 0.69 | 0.77 | 0.21 to 2.77 | |
| Source of information about COVID-19 | Facebook (ref.) | |||||
| Telegram | 0.81 | 0.59 | 0.17 | 2.24 | 0.70 to 7.13 | |
| Television | 1.89 | 0.46 | 0.00 | 6.68 | 2.73 to 16.36 | |
| Radio | 1.07 | 0.52 | 0.04 | 2.91 | 1.04 to 8.11 | |
| Health professionals | 1.42 | 0.52 | 0.01 | 4.15 | 1.51 to 11.40 | |
| Cut 1 | 1.21 | 0.60 | 0.04 to 2.38 | |||
| Cut 2 | 2.67 | 0.61 | 1.48 to 3.86 | |||
*Other: catholic and protestant.
NGO, non-governmental organisation.
Predictors of COVID-19 preventive health behaviours
In simple linear regression, sex, marital status, grade level, mother’s educational status, father’s educational status, mother’s occupation and father’s occupation, living arrangement, source of information about COVID-19 and social support were significant at with a p≤0.25 and entered in to multiple linear regression. In the multiple linear regression analysis, sex (β: 1.35 95% CI 0.02 to 2.68), having father employed in non-governmental organisation (NGO) (β: −2.37, 95% CI −4.71 to –0.02), other jobs (β: −3.46, 95% CI −6.49 to –0.43) and health profession as source of information (β:3.00, 95% CI 0.20 to 5.80) were statistically significant at a p<0.05. The standardised regression coefficient revealed that source of information was the most important predictor of adoption of COVID-19 preventive measures. The analysis of this study showed that female students were 1.35 times more frequently engaged in preventive health behaviour than males. Compared with students with father employed in government institution, engagement in COVID-19 preventive behaviour decreased by 2.37 and 3.46 times among those whose father was employed in NGO and other jobs, respectively. Students who used health professionals as sources of information were three time more engaged in preventive health behaviour than those who use Facebook as source of information provided that other variables are kept constant (table 5).
Table 5.
Predictors of COVID-19 preventive health behaviours among secondary school students in Gondar city, North West Ethiopia, 2021 (n=370)
| Variable | Unstandardised B | Standardised β | 95% CI for B | |
| Sex | Male (ref.) | |||
| Female | 1.35* | 0.11 | 0.02 to 2.68 | |
| Age | 15–19 (ref.) | |||
| 20–30 | 0.73 | 0.04 | −1.37 to 2.82 | |
| Marital status | Single (ref.) | |||
| Engaged/married | 1.64 | 0.10 | −0.18 to 3.45 | |
| Grade | 10th (ref.) | |||
| 11th | −0.61 | −0.04 | −2.25 to 1.02 | |
| 12th | 0.17 | 0.01 | −1.42 to 1.76 | |
| Mother’s educational status | Unable to read and write (ref.) | |||
| Able to read and write | −1.16 | −0.08 | −2.84 to 0.53 | |
| Completed primary school | −0.98 | −0.06 | −3.01 to 1.04 | |
| Completed secondary school | −1.33 | −0.08 | −3.67 to 1.01 | |
| Diploma and higher | −1.82 | −0.08 | −5.06 to 1.41 | |
| Father ’s educational status | Unable to read and write (ref.) | |||
| Able to read and write | 0.18 | 0.01 | −1.76 to 2.13 | |
| Completed primary school | 0.46 | 0.03 | −1.89 to 2.80 | |
| Completed secondary school | −0.90 | −0.06 | −3.37 to 1.55 | |
| Diploma and higher | −1.20 | −0.07 | −4.22 to 1.82 | |
| Mother’s occupation | Housewife (ref.) | |||
| Government employee | −0.72 | −0.04 | −3.08 to 1.64 | |
| Marchant | −1.17 | −0.05 | −3.57 to 1.22 | |
| NGO employee | 2.14 | 0.06 | −1.45 to 5.72 | |
| Farmer | 0.52 | 0.01 | −4.20 to 5.25 | |
| Other | 1.07 | 0.03 | −3.32 to 5.46 | |
| Father’s occupation | Government employee (ref.) | |||
| NGO employee | −2.37* | −0.12 | −4.71 to –0.02 | |
| Merchant | −0.25 | −0.02 | −2.36 to 1.85 | |
| Farmer | −0.59 | −0.04 | −2.84 to 1.67 | |
| Other | −3.46* | −0.13 | −6.49 to –0.43 | |
| Living arrangement | Parents (ref.) | |||
| Siblings | 0.60 | 0.03 | −1.38 to 2.58 | |
| Relatives | −0.53 | −0.02 | −3.00 to 1.93 | |
| Alone | 0.02 | 0.01 | −2.30 to 2.26 | |
| Others | 2.42 | 0.06 | −1.54 to 6.39 | |
| Source of information about COVID-19 | Facebook (ref.) | |||
| Telegram | −0.41 | −0.02 | −3.61 to 2.78 | |
| Television | 0.92 | 0.07 | −1.41 to 3.26 | |
| Radio | −0.12 | −0.01 | −2.83 to 2.60 | |
| Health professionals | 3.00* | 0.17 | 0.20 to 5.80 | |
| Social support | 10.32±2.30 | 0.29 | 0.11 | −0.01 to 0.58 |
| Constant | 19.84 | 15.16 to 24.53 | ||
*P<0.05.
Discussion
This study assessed the COVID-19-related knowledge and preventive health behaviour of the student and associated factors in the reopened schools, Northwest Ethiopia. Student’s adherence to COVID-19 preventive behaviours (physical distancing, wearing a mask and hand washing) are a key to sustain the education in the pandemic era. Previous studies addressed the knowledge, attitude and practices of COVID-19 immediately after onset of the pandemics in Ethiopia.16–18 These studies revealed lack of knowledge, attitude and preventive practice among different populations.16 19 Since the adherence of these behaviours reduce the spread of the disease among the students, teachers and community, the current study focused the knowledge of the student and their level of engagement in preventive behaviour.
A lack of adequate knowledge is probably the driving force for poor preventive practice as well as the spread of the disease. In this study only about half (52.2%) of the students had at least moderate knowledge about COVID-19. This study result is higher than studies done among health science student in Arbaminch30 and secondary school student in Egypt (before intervention).20 On the other hands, this finding is lower than studied done among college student in Amhara region, undergraduate student in Debre Berhan University, undergraduate medical students in Egypt, high school students in Ghana, Iranian medical students, Libya, Jordan and Portugal.21–23 31–36 The discrepancy is may be due difference in access and use of information sources. The result highlights the need to address the gap of knowledge timely using tailored and effective approaches. The authors recommended briefing sessions or including information about the disease is health-related subjects/lessons may enhance the knowledge of the students.
This study showed students had low preventive health behaviours against COVID-19 with 55.1% respondents scored above the mean score. Contrary to scientific recommendation social distancing, hand washing, and wearing of a mask were not highly prevalent practices among students. Similar finding is reported by studies done among university students in Debre Birhan university32 and secondary school student in Egypt.20 Contrary to this study among secondary school students in in Italy23 and Portugal22 reported that students are practicing appropriate preventive behaviours. The difference may be due to difference in COVID-19-related information access, risk perception and enforcement of COVID-19-related measures in nations. In addition, college student in Amhara region, medical students in Egypt, Iran, Libya, Jordan and University students in Birzeit (Palestine)23 31 33 35–37 implemented proper strategies to prevent its spread of the disease. This may be due too high-risk perception, advanced knowledge about the disease and previous experience of infection prevention practice enabled them to properly implement COVID-19 preventive health behaviour. School authorities with respected responsible health authorities need to identify, meet and coordinate the implementation of preventive behaviours at schools. The promotion and awareness creation activities also need to be revised according to the situation evolution.
The analysis of predictors of knowledge about COVID-19 revealed that engaged/married and students living alone had lower level of knowledge. Similarly, study done among college student in Amhara region reported single students had good knowledge about COVID-19.31 The other study health science student in Arbaminch reported that married and student living with family members had good knowledge than their counterparts.30 Whereas, on the other hand, being affiliated with other religions, having educated father and using television, radio and health professional as a source of information were positively associated with good knowledge. Health professionals and electronic medias were the reliable source of information and promote health awareness and engagement in preventive measures. Study done in Debre Berhan University reported that source of information about COVID-19 associated with the mean knowledge.32 Elsewhere study done in Ghana reported that increased access of information from electronic media and the role of peers and family members in dissemination of COVID-19-related information.21
The analysis on the predictor of preventive health behaviour among the student showed that being female and health professionals’ source of information increased the engagement in preventive behaviours. Although those who had increased exposure to electronic medias seemed to be more aware of preventive measures to avoid COVID-19 spread, there is still the possibility that misinformation on the internet can have produced the opposite. We found that females engaged more in preventive health behaviours than males. This is allied with a tendency of females to be more health conscious and engaged in preventive behaviour.38 Moreover, the low preventive behaviour in men may be due to their perceptions of masculinity which reduces their motivation to accept preventive health behaviour.24 39 Similar findings were reported by studies done in Portugal, medical students in Egypt, university students in Palestine and China.22 33 37 40 Health messages and other health promotion initiatives at schools need to introduce gender-specific tailor preventive measures in order to enhance their efficiency. On the other hand, student whose father employed in NGO and other jobs had decreased engagement in preventive health behaviours. In this study, the level of knowledge of the participant was not significant predictor for preventive health behaviour. This may be due to knowledge is neither sufficient nor necessary to trigger a behavioural change (adopting preventive behaviours).
This study has certain limitations to be noted. This is cross sectional study, could not show a cause-and-effect relationship and the findings represent the situation during the study period. The knowledge and preventive practices among the student may change rapidly. Besides, this study was based on self-report of the participant. There would be recall and social desirability that can bias the findings.
Conclusions
In this study, substantial number of the students had inadequate knowledge about COVID-19 and poorly engaged in COVID-19 preventive health behaviour. The research results indicated that engaged/married and students living alone had a lower level of knowledge. Being affiliated with other religions, having educated father, and using television, radio and health professional as a source of information were all associated with good knowledge. Sex, father occupation and source of information have all contributed to COVID-19 preventive behaviours. Therefore, the effectiveness of COVID-19 prevention measures needs to be well established among the students. Interventions that increase the awareness of the students and promote health behaviours need to be strengthen in secondary schools. It is suggested to introduce COVID-19-related message need to be disseminated in related academic sessions, using school clubs and minimedias. In addition, the main sources of COVID-19-related information (health professionals, television and radio) need to strengthen the dissemination of tailored, credible and timely message to enhance the knowledge and engagement the student in preventive health behaviours.
Supplementary Material
Acknowledgments
The authors would like to thank the study participant and data collectors for their cooperation.
Footnotes
Contributors: SH, AA, AK and KS conceived and designed the study. SH, AA, AK and KS participated in data processing and management. SH analysed the data and drafted the manuscript. AK and KS participated in data analysis and interpretation. SH, AA, AK and KS reviewed the drafted manuscript. All authors read and approved the final manuscript.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data are available on reasonable request. Data will be available from the corresponding author on reasonable request.
Ethics statements
Patient consent for publication
Not required.
Ethics approval
Ethical clearance was obtained from the Institutional Review Board of the University of Gondar with a reference number of V/P/RCS/05/588/2020.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
bmjopen-2021-050189supp001.pdf (85.9KB, pdf)
Data Availability Statement
Data are available on reasonable request. Data will be available from the corresponding author on reasonable request.