| Literature DB >> 34040921 |
Abdullah S Alshammari1, Hotoon Alshammari2, Sulaiman Alshammari3,4.
Abstract
Background A recent outbreak of COVID-19 which was initially reported in Wuhan City, China, has become a worldwide pandemic. This global public health threat drew the attention of the medical and scientific community to make the necessary research efforts to combat the spread of the virus. Predictors of preventive behaviors could be of considerable importance relevant to identifying high-risk groups to manage their behavior. We aimed to investigate the association between people's perception of COVID-19 adherence to preventive measures, susceptibility, seriousness, benefits, motivators, barriers, confidence, and information sources. Methods We conducted a cross-sectional study during the early phase of the COVID-19 pandemic, enrolling 1,568 participants from WhatsApp groups, aged 16 years and above from March to April 2020 in Saudi Arabia. We prepared an online Arabic self-administered questionnaire, which consisted of (1) sociodemographic characteristics; (2) compliance to preventive measures, including the perception of susceptibility, seriousness, benefits, motivation, barriers to preventive measures, self-confidence; and (3) sources of COVID-19 information. Results Of the 1,568 participants, 60% (n = 1,004) were women, 54.1% (n = 459) were unmarried, and 80.2% (n = 1,258) had earned university degrees. Regarding compliance and perception toward preventive measures, 64% of participants washed hands with soap and water; 50% followed the cough etiquette; 17.5% avoided touching their eyes, nose, and mouth; and 34.6% never shook hands with others. Approximately 52.2%-69.7% avoided going to crowded places and wore facial masks as needed. In addition, 24.3% of people observed social distancing. However, 52.4% did not receive the annual flu vaccine. Approximately 83% used banknotes, 69.8% made online payments, and 51.8% avoided ATM/credit card use. The perception of susceptibility and the seriousness of COVID-19 infection accounted for 8.5% and 50% of participants, respectively. Perceived benefits and motivation reached more than 90%. Barriers for not being able to practice preventive measures were the fear of nasal swabs, forgetfulness, and negligence, which rated 39% and 66%, respectively. Confidence in practicing the preventive measures and distinguishing the symptoms of COVID-19 accounted for 80% and 60% of the participants, respectively. The most used sources to retrieve information were the Ministry of Health (MOH) news and reports and social media, representing 53.5% and 24.6%, respectively. Conclusions During the early phase of the pandemic, people's perception of susceptibility was low, which resulted in a lack of awareness of some citizens to take the COVID-19 infection seriously. Thus, the benefits of preventive measures did not fully translate into practice. The current successful decline of COVID-19 cases should be accompanied by continuing health promotion and disease prevention programs utilizing all avenues and opportunities to remind people of scientific, religious, and cultural practices of handwashing, coughing etiquette. The persistent use of personal protective equipment (PPE), such as facial masks, gloves, and, for frontline workers, shields and protective garments is necessary. Family physicians and teams should play a vital role in this battle.Entities:
Keywords: adherence to preventive measures; coronavirus; covid-19 pandemic; perception of susceptibility; seriousness
Year: 2021 PMID: 34040921 PMCID: PMC8140485 DOI: 10.7759/cureus.14623
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Demographic characteristics of the participants (N = 1568)
| Variables | Frequency | Percentage |
| Age (years) | ||
| Under 18 | 77 | 4.9 |
| 18–34 | 838 | 53.4 |
| 35–54 | 425 | 27.1 |
| 55+ | 228 | 14.5 |
| Sex | ||
| Male | 601 | 38.3 |
| Female | 967 | 61.7 |
| Marital status | ||
| Not married | 848 | 54.1 |
| Married | 720 | 45.9 |
| Educational level | ||
| Below secondary | 31 | 2 |
| Secondary school | 280 | 17.9 |
| University | 1257 | 80.2 |
| Occupation | ||
| Not working | 890 | 56.8 |
| Working | 423 | 27 |
| Health professionals | 255 | 16.3 |
| Total | 1568 | 100 |
Practice of preventive measure against COVID-19 by Likert scale (N = 1568)
| Questions | Always (%) | Often (%) | Sometimes (%) | Never (%) | |
| Do you wash your hand with water and soap constantly? | 1003 (64.0) | 440 (28.1) | 123 (7.8) | 2 (0.1) | |
| Do you wash your hands with water and soap before eating? | 955 (60.9) | 358 (22.8) | 215 (13.7) | 40 (2.6) | |
| Are you keen on using antiseptic soap for hands? | 455 (29.0) | 498 (31.8) | 477 (30.4) | 138 (8.8) | |
| Are you keen on using antiseptic soap for surfaces, such as tables and floor? | 498 (31.8) | 478 (30.5) | 435 (27.7) | 157 (10.0) | |
| Do you avoid touching your eyes, nose, and mouth directly with your hands? | 274 (17.5) | 602 (38.4) | 533 (34.0) | 159 (10.1) | |
| Do you cover your nose and mouth while sneezing or coughing with tissue and throw it in the garbage? | 789 (50.3) | 445 (28.4) | 260 (16.6) | 74 (4.7) | |
| In case you do not have tissue, do you use your elbow while sneezing or coughing? | 725 (46.2) | 415 (26.5) | 271 (17.3) | 157 (10.0) | |
| Do you share your personal belongings with others (e.g., towels)? | 42 (2.7) | 63 (4.0) | 191 (12.2) | 1272 (81.1) | |
| Do you avoid crowded places? | 818 (52.2) | 450 (28.7) | 225 (14.3) | 75 (4.8) | |
| Do you wear mask in crowded places? | 599 (38.2) | 386 (18.2) | 298 (19.0) | 385 (24.6) | |
| Do you avoid people with respiratory infection? | 957 (61.0) | 326 (20.8) | 181 (11.5) | 104 (6.6) | |
| In case you are around infected people, do you wear mask? | 1093 (69.7) | 190 (12.1) | 138 (8.8) | 147 (9.4) | |
| Do you take the seasonal flu vaccine? | 271 (17.3) | 177 (11.3) | 298 (19.0) | 822 (52.4) | |
| Do you shake hands with others? | 248 (15.8) | 330 (21.0) | 447 (28.5) | 543 (34.6) | |
| Do you avoid using banknotes in buying and selling? | 348 (22.2) | 440 (28.1) | 510 (32.5) | 270 (17.2) | |
| Do you avoid using ATM and credit cards in buying and selling? | 190 (12.1) | 225 (14.2) | 398 (25.4) | 755 (48.2) | |
| Do you use an online payment method, such as Apple Pay, STC pay, Google Pay etc.? | 467 (29.8) | 357 (22.8) | 271 (17.3) | 473 (30.2) | |
| Do you take your shoes off when entering the house? | 737 (47.0) | 255 (16.3) | 256 (16.3) | 320 (20.4) | |
| Do you stand at least a meter away while communicating with others? | 384 (24.5) | 514 (32.8) | 506 (32.3) | 164 (10.5) | |
| Do you wash your hand with water and soap when entering the house? | 1163 (74.2) | 248 (15.8) | 119 (7.6) | 38 (2.4) |
COVID-19 preventive practice measures
| Variable | Preventive Practice Mean | Total (%) | P Value | |
| Poor Practice (%) | Good Practice (%) | |||
| Age (years) | ||||
| Under 18 | 32 (41.6) | 45 (58.4) | 77 (100.0) | 0.45 |
| 18–34 | 385 (45.9) | 453 (54.1) | 838 (100.0) | |
| 35–54 | 177 (41.6) | 248 (58.4) | 425 (100.0) | |
| 55+ | 97 (42.5) | 131 (57.5) | 228 (100.0) | |
| Sex | ||||
| Male | 300 (49.9) | 301 (50.1) | 601 (100.0) | |
| Female | 391 (40.4) | 576 (59.6) | 967 (100.0) | 0.0001 |
| Marital status | ||||
| Not married | 382 (45.0) | 466 (55.0) | 848 (100.0) | |
| Married | 309 (42.9) | 411 (57.1) | 720 (100.0) | 0.21 |
| Educational level | ||||
| Below secondary | 12 (38.7) | 19 (61.3) | 31 (100.0) | |
| Secondary school | 131 (46.8) | 149 (53.2) | 280 (100.0) | |
| University | 548 (43.6) | 709 (56.4) | 1257 (100.0) | 0.51 |
| Occupation | ||||
| Not working | 410 (46.1) | 480 (53.9) | 890 (100.0) | |
| Working | 193 (45.6) | 230 (54.4) | 423 (100.0) | |
| Health professionals | 88 (34.5) | 167 (65.5) | 255 (100.0) | |
| Total | 691 (44.1) | 877 (55.9) | 1568 (100.0) | 0.003 |
Frequency of various domains of health beliefs of the participants (N = 1568)
| Variables | Agree | Neutral | Disagree |
| N (%) | N (%) | N (%) | |
| Susceptibility | |||
| It is likely that I will get COVID-19 in these days. | 133 (8.5) | 562 (35.8) | 873 (55.7) |
| My chance of getting COVID-19 is higher than the others. | 142 (9.1) | 519 (33.1) | 907 (57.8) |
| My family’s chances of getting COVID-19 is high. | 205 (13.1) | 440 (28.1) | 923 (58.9) |
| Seriousness | |||
| The thought of COVID-19 scares me. | 714 (45.5) | 349 (22.3) | 505 (32.2) |
| When I think about COVID-19, my heart beats faster. | 581 (37.1) | 332 (21.2) | 655 (41.8) |
| If I get infected with COVID-19, I will get the symptoms. | 766 (48.9) | 525 (33.5) | 277 (17.7) |
| If I get infected with COVID-19, I will lose my income. | 200 (12.8) | 328 (20.9) | 1040 (66.3) |
| COVID-19 infection would threaten my relationship with relatives. | 846 (54.0) | 268 (17.1) | 454 (29.0) |
| If I get infected with COVID-19, I will not live long. | 134 (8.5) | 460 (29.3) | 974 (62.1) |
| Benefits | |||
| I feel satisfied when I do the preventive measures against COVID-19, such as hand washing. | 1489 (95.0) | 54 (3.4) | 25 (1.6) |
| I do not worry about getting infected with COVID-19 when I practice the preventive measures. | 1151 (73.4) | 278 (17.7) | 139 (8.9) |
| Practicing the preventive measures against COVID-19 will reduce the likelihood of death from infection. | 1330 (84.8) | 180 (11.5) | 58 (3.7) |
| Practicing the preventive measures against COVID-19 will reduce the likelihood of hospital admission. | 1395 (89.0) | 130 (8.3) | 43 (2.7) |
| Motivation | |||
| Maintaining healthy well-being is a top priority for me. | 1508 (96.2) | 45 (2.9) | 15 (1.0) |
| I feel it is important to perform physical activity to improve my health. | 1456 (92.9) | 94 (6.0) | 18 (1.1) |
| I eat well-balanced meals for my health. | 1135 (72.4) | 283 (18.0) | 150 (9.6) |
| I have regular health checkups even when I am not sick. | 596 (38.0) | 403 (25.7) | 569 (36.3) |
| I exercise at least three times a week for my health. | 693 (44.2) | 345 (22.0) | 530 (33.8) |
| I seek new health information to promote my health. | 1202 (76.7) | 249 (15.9) | 117 (7.5) |
| Barriers | |||
| I am afraid to have a nasal swab. | 611 (39.0) | 515 (32.8) | 442 (28.2) |
| I am afraid to use antiseptic because of adverse effects, such as skin irritation and allergy. | 397 (25.3) | 281 (17.9) | 890 (56.8) |
| It is difficult to get personal protective equipment (PPE) such as masks, antiseptics, detergents, etc. | 604 (38.5) | 257 (16.4) | 707 (45.1) |
| I feel embarrassed when refusing shaking hands or hugging friends. | 469 (29.9) | 233 (14.9) | 866 (55.2) |
| Forgetfulness or negligence is the cause for not practicing the preventive measures against COVID-19 infection. | 1036 (66.1) | 267 (17.0) | 265 (16.9) |
| The cost of personal protective equipment's (PPE) is the cause for not practicing the preventive measures against COVID-19 infection. | 380 (24.2) | 352 (22.4) | 836 (53.3) |
| Confidence | |||
| I know how to practice the protective measures against COVID-19 infection. | 1314 (83.8) | 186 (11.9) | 68 (4.3) |
| I am confident to practice the protective measures against COVID-19 infection correctly. | 1279 (81.6) | 232 (14.8) | 57 (3.6) |
| I will detect COVID-19 infection if the symptoms appear. | 975 (62.2) | 142 (26.3) | 181 (11.5) |
| I am able to differentiate between COVID-19 and common cold symptoms. | 911 (58.1) | 360 (23.0) | 297 (18.9) |
| I am confident about the procedures I should follow when the symptoms appear or when I come in contact with infected people. | 1261 (80.4) | 208 (13.3) | 99 (6.3) |
Demographic characteristics versus health belief model (N = 1568)
*** denotes statistical significance.
| Variable | N | Susceptibility | Seriousness | Benefits | Barriers | Motivation | Confidence |
| (Mean + SD) | (Mean + SD) | (Mean + SD) | (Mean + SD) | (Mean + SD) | (Mean + SD) | ||
| Age (years) | *** | *** | *** | *** | *** | ||
| Under 18 | 77 | 6.6 (2.8) | 18.5 (5.0) | 17.8 (2.2) | 17.1 (4.8) | 22.4 (4.5) | 20.7 (3.7) |
| 18–34 | 838 | 6.7 (2.7) | 17.8 (4.9) | 17.0 (2.4) | 17.4 (4.4) | 22.6 (4.0) | 19.2 (3.7) |
| 35–54 | 425 | 7.0 (2.6) | 17.1 (4.6) | 17.2 (2.2) | 17.7 (4.1) | 24.1 (3.5) | 19.6 (3.3) |
| 55+ | 228 | 7.1 (2.6) | 16.4 (4.4) | 17.3 (2.1) | 17.7 (4.2) | 25.1 (3.1) | 19.9 (2.9) |
| Sex | *** | *** | *** | *** | |||
| Male | 601 | 7.2 (2.6) | 17.0 (4.9) | 17.2 (2.3) | 18.1 (4.5) | 23.9 (3.8) | 19.5 (3.3) |
| Female | 967 | 6.6 (2.6) | 17.7 (4.8) | 17.1 (2.3) | 17.2 (4.2) | 23.0 (3.9) | 19.5 (3.6) |
| Marital status | *** | *** | *** | ||||
| Not married | 848 | 6.7 (2.6) | 17.2 (4.7) | 17.2 (2.2) | 17.9 (4.2) | 24.2 (3.5) | 19.6 (3.3) |
| Married | 720 | 7.0 (2.7) | 17.9 (5.4) | 16.9 (3.1) | 19.3 (5.6) | 24.5 (4.7) | 20.1 (4.3) |
| Educational level | *** | *** | *** | *** | |||
| Below secondary | 31 | 6.3 (3.5) | 18.1 (5.0) | 17.5 (2.4) | 17.8 (4.6) | 22.9 (4.3) | 19.7 (3.8) |
| Secondary school | 280 | 6.7 (2.7) | 17.3 (4.7) | 17.1 (2.2) | 17.4 (4.2) | 23.4 (3.7) | 19.4 (3.4) |
| University | 1257 | 6.9 (2.6) | 17.5 (4.8) | 17.2 (2.3) | 17.8 (4.3) | 23.2 (4.0) | 19.4 (3.6) |
| Occupation | *** | *** | *** | *** | |||
| Not working | 890 | 6.5 (2.6) | 17.8 (4.8) | 17.1 (2.3) | 17.4 (4.3) | 23.2 (3.8) | 19.1 (3.3) |
| Working | 423 | 6.8 (2.5) | 16.7 (4.7) | 17.0 (2.2) | 17.0 (4.3) | 24.0 (3.6) | 20.4 (3.0) |
| Health professionals | 255 | 7.9 (2.7) | 17.4 (4.8) | 17.1 (2.3) | 17.5 (4.3) | 23.3 (3.9) | 19.5 (3.5) |
| Total | 1568 | 6.8 (2.6) | 17.4 (4.8) | 17.1 (2.3) | 17.5 (4.3) | 23.3 (3.9) | 19.5 (3.5) |
Sources of information about participants by their demographic characteristics (N = 1568)
WHO, World Health Organization; MOH, Ministry of Health.
| Variable | Sources of information | Total | ||||||
| No information | WHO | MOH | Social Media | Media | Health Workers | Friends | 1547 | |
| 47 | 194 | 828 | 381 | 54 | 24 | 19 | ||
| -3.00% | -12.50% | -53.50% | -24.60% | -3.50% | -1.60% | -1.20% | ||
| Age (years) | ||||||||
| Under 18 | 6 (7.9) | 9 (11.8) | 42 (55.3) | 1418.4 | 2 (2.6) | 00.0) | 3 (3.9) | 76 |
| 18–34 | 30 (3.6) | 107 (12.9) | 460 (55.6) | 203 (24.5) | 6 (0.7) | 15 (1.8) | 7 (0.8) | 828 |
| 35–54 | 9 (2.1) | 46 (11.0) | 211 (50.4) | 112 (26.7) | 28 (6.7) | 6 (1.4) | 7 (1.7) | 419 |
| 55+ | 2 (0.9) | 32 (14.3) | 115 (51.3) | 52 (23.2) | 18 (8.0) | 3 (1.3) | 2 (0.9) | 224 |
| sex | ||||||||
| Male | 22 (3.7) | 85 (14.5) | 297 (50.5) | 141 (24.0) | 26 (4.4) | 13 (2.2) | 40.7 | 588 |
| Female | 25 (2.6) | 109 (11.4) | 531 (55.4) | 240 (25.0) | 28 (2.9) | 11 (1.1) | 15 (1.6) | 959 |
| Marital status | ||||||||
| Not married | 30 (3.6) | 107 (12.7) | 471 (56.0) | 203 (24.1) | 7 (0.8) | 11 (1.3) | 12 (1.4) | 841 |
| Married | 17 (2.4) | 87 (12.3) | 357 (50.6) | 178 (25.2) | 47 (6.7) | 13 (1.8) | 7 (1.0) | 706 |
| Educational level | ||||||||
| Below secondary | 3 (9.7) | 3 (9.7) | 16 (51.6) | 3 (9.7) | 3 (9.7) | 2 (6.5) | 1 (3.2) | 31 |
| Secondary school | 11 (4.0) | 24 (8.7) | 153 (55.2) | 67 (24.2) | 13 (4.7) | 2 (0.7) | 7 (2.5) | 277 |
| University | 33 (2.7) | 167 (13.5) | 659 (53.2) | 311 (25.1) | 38 (3.1) | 20 (1.6) | 11 (0.9) | 1239 |
| education | ||||||||
| Not working | 33 (3.8) | 91 (10.3) | 455 (51.7) | 238 (27.0) | 36 (4.1) | 14 (1.6) | 13 (1.5) | 880 |
| Working | 9 (2.2) | 41 (9.9) | 235 (56.8) | 109 (26.3) | 14 (3.4) | 1 (0.2) | 5 (1.2) | 414 |
| Health professionals | 5 (2.0) | 62 (24.5) | 138 (54.5) | 34 (13.4) | 4 (1.6) | 9 (3.6) | 1 (0.4) | 253 |