| Literature DB >> 34602841 |
Mamoon H Syed1,2, Abdulkarim M Meraya1,2, Ayesha Yasmeen1,2, Ahmed A Albarraq1,2, Saad S Alqahtani1,2, Nabeel Kashan A Syed1,2, Majed A Algarni3, Nawazish Alam1,2.
Abstract
BACKGROUND: The novel coronavirus disease (COVID-19) has affected hundreds of thousands of people across more than 200 countries. As the pandemic continues, the health agencies, worldwide, are recommending strict preventive practices to avert its transmission at community scale. We sought to predict the behavior of the Saudi population for adopting community preventive practices during the COVID-19 pandemic.Entities:
Keywords: COVID-19; Community preventive measures; HBM, Health Belief Model; Health belief model; MOH, Ministry of Health; Saudi Arabia; WHO, World Health Organization
Year: 2021 PMID: 34602841 PMCID: PMC8463106 DOI: 10.1016/j.jsps.2021.09.010
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.330
Fig.1Geographical distribution of the study participants.
Characteristics of the study sample (N = 668).
| Variables | N | % |
|---|---|---|
| Gender | ||
| Male | 430 | 64.4 |
| Female | 238 | 35.6 |
| Marital Status | ||
| Married | 351 | 52.4 |
| Single/Divorced | 317 | 47.6 |
| Education | ||
| Incomplete School | 13 | 1.9 |
| High School | 89 | 13.3 |
| Bachelors | 473 | 70.8 |
| Post graduate | 93 | 13.9 |
| Family Income in Saudi riyals | ||
| <5000 | 97 | 14.5 |
| 5000 – 10,000 | 148 | 22.2 |
| 10,001 – 15,000 | 218 | 32.6 |
| greater than15,000 | 205 | 30.7 |
| Number of Adults in family | ||
| 1 | 32 | 4.8 |
| 2 | 213 | 31.9 |
| 3 | 75 | 11.2 |
| 4 | 98 | 14.7 |
| ≥5 | 250 | 37.4 |
| Number of children in family | ||
| 0 | 146 | 21.9 |
| 1 | 135 | 20.2 |
| 2 | 140 | 21.0 |
| 3 | 87 | 13.0 |
| 4 | 60 | 9.0 |
| ≥5 | 100 | 15.0 |
| What would you say about your health in general? | ||
| Poor | 3 | 0.45 |
| Fair | 2 | 0.30 |
| Good | 55 | 8.23 |
| Very good | 221 | 33.08 |
| Excellent | 387 | 57.93 |
| Pre-existing conditions and medical history | ||
| Blood pressure | 31 | 4.64 |
| Heart diseases | 12 | 1.80 |
| Diabetes | 25 | 3.74 |
| Immune diseases | 6 | 0.90 |
| Asthma | 31 | 4.64 |
| Other respiratory diseases | 16 | 2.40 |
| None | 526 | 78.74 |
| Other | 43 | 6.44 |
Mean scores of HBM variables.
| Perceived susceptibility | 13.66 ± 2.83 | 4–20 | 4–20 |
| Perceived Severity | 12.85 ± 2.72 | 4–20 | 4–20 |
| Perceived Benefits | 8.18 ± 1.54 | 2–10 | 2–10 |
| Perceived Barriers | 13.17 ± 3.76 | 4–20 | 4–20 |
| Cue to Action | 4.46 ± 0.67 | 1–5 | 1–5 |
| Outcome score | 29.92 ± 4.29 | 12–35 | 7–35 |
Responses of respondents for each HBM constructs (N = 668).
| 17 (2.54) | 7 (1.05) | 45 (6.74) | 286 (42.81) | 313 (46.86) |
| 186 (27.84) | 174 (26.05) | 137 (20.51) | 126 (18.86) | 45 (6.74) |
| 28 (4.19) | 80 (11.98) | 250 (37.43) | 221 (33.08) | 89 (13.32) |
| 86 (12.87) | 91 (13.62) | 87 (13.02) | 239 (35.78) | 165 (24.70) |
| 47 (7.04) | 107 (16.02) | 120 (17.96) | 233 (34.88) | 161 (24.10) |
| 195 (29.19) | 150 (22.46) | 133 (19.91) | 138 (20.66) | 52 (7.78) |
| 19 (2.84) | 32 (4.79) | 104 (15.57) | 309 (46.26) | 204 (30.54) |
| 76 (11.38) | 140 (20.96) | 334 (50.0) | 89 (13.32) | 29 (4.34) |
| 16 (2.40) | 30 (4.49) | 143 (21.41) | 259 (38.77) | 220 (32.93) |
| 8 (1.20) | 12 (1.80) | 85 (12.72) | 277 (41.47) | 286 (42.81) |
| 48 (7.19) | 92 (13.77) | 126 (18.86) | 266 (39.82) | 136 (20.36) |
| 65 (9.73) | 177 (26.50) | 180 (26.95) | 202 (30.24) | 44 (6.59) |
| 94 (14.07) | 129 (19.31) | 140 (20.96) | 181 (27.10) | 124 (18.56) |
| 64 (9.58) | 94 (14.07) | 108 (16.17) | 244 (36.53) | 158 (23.65) |
| 2 (0.30) | 3 (0.45) | 44 (6.59) | 256 (38.32) | 363 (54.34) |
| 2 (0.30) | 3 (0.45) | 28 (4.19) | 200 (29.94) | 435 (65.12) |
| 1 (0.15) | 8 (1.20) | 33 (4.94) | 187 (27.99) | 439 (65.72) |
| 7 (1.05) | 20 (2.99) | 52 (7.78) | 208 (31.14) | 381 (57.04) |
| 27 (4.04) | 70 (10.48) | 149 (22.31) | 233 (34.88) | 189 (28.29) |
| 22 (3.29) | 77 (11.53) | 146 (21.86) | 229 (34.28) | 194 (29.04) |
| 6 (0.90) | 15 (2.25) | 85 (12.72) | 237 (35.48) | 325 (48.65) |
| 2 (0.30) | 5 (0.75) | 28 (4.19) | 191 (28.59) | 442 (66.17) |
Association of perception of subjects and community preventive practices using multiple linear regression.
| Susceptibility score | 0.24 | 0.05 | 4.51 | <0.001 | 0.14–0.35 |
| Severity score | 0.17 | 0.06 | 2.93 | 0.004 | 0.05–0.28 |
| Benefits score | 0.42 | 0.10 | 4.19 | <0.001 | 0.22–0.61 |
| Cue to action | 2.61 | 0.23 | 11.37 | <0.001 | 2.16–3.07 |
| Effect on relationships | −0.12 | 0.11 | −1.11 | 0.27 | −0.33–0.09 |
| Gender (Female vs Male) | −0.35 | 0.31 | −1.14 | 0.25 | −0.96–0.25 |
| Separated/widowed vs Married | 0.30 | 0.73 | 0.41 | 0.68 | −1.14–1.75 |
| Never Married vs Married | 0.77 | 0.39 | 1.97 | 0.05 | 0.003–1.54 |
| High school vs < High school | 0.30 | 1.09 | 0.28 | 0.78 | −1.83–2.44 |
| College degree vs < High School | 0.39 | 1.04 | 0.38 | 0.70 | −1.65–2.44 |
| Postgraduate degree vs high school | −0.07 | 1.10 | −0.07 | 0.94 | −2.23–2.08 |
| 5000–10000 vs < 5000 | −0.14 | 0.48 | −0.28 | 0.78 | −1.08–0.81 |
| 10000–150000 vs < 5000 | 0.18 | 0.45 | 0.4 | 0.69 | −0.71–1.07 |
| >15000 vs < 5000 | −0.16 | 0.47 | −0.33 | 0.74 | −1.09–0.78 |
| −0.21 | 0.50 | −0.43 | 0.67 | −1.20–0.76 | |
| 0.02 | 0.02 | 1.15 | 0.25 | −0.02–0.07 | |
Abbreviations: SE: standard error, CI: Confidence interval.