| Literature DB >> 33244326 |
Elizabeth Uzoamaka Nwonwu1,2, Edmund Ndudi Ossai1,2, Chukwuma David Umeokonkwo2,3, Ituma Bernard Ituma1,2.
Abstract
INTRODUCTION: the coronavirus disease COVID-19 pandemic has affected the way we live. The use of non-pharmaceutical interventions (NPI) has been reported to be effective in controlling similar respiratory diseases outbreak in the past and is being used as one of the mainstays of control of the pandemic. We therefore assessed the knowledge and practice of preventive measures against COVID-19 among adults in Enugu metropolis during the outbreak in the State.Entities:
Keywords: COVID-19; Enugu metropolis; knowledge; non-pharmaceutical interventions; preventive practices
Mesh:
Substances:
Year: 2020 PMID: 33244326 PMCID: PMC7680221 DOI: 10.11604/pamj.2020.37.63.23986
Source DB: PubMed Journal: Pan Afr Med J
socio-demographic characteristics of respondents
| Variable | Frequency (n=320) | Percent (%) |
|---|---|---|
| Mean SD | 41.6±12.5 | |
| <35 years | 111 | 34.7 |
| 35-44 years | 100 | 31.3 |
| ≥45 years | 109 | 34.1 |
| Male | 168 | 52.5 |
| Female | 152 | 47.5 |
| None | 72 | 22.5 |
| 1-4 children | 183 | 57.2 |
| ≥5 children | 65 | 20.3 |
| Never married | 69 | 21.6 |
| Married | 239 | 74.7 |
| Divorced | 7 | 2.2 |
| Separated | 5 | 1.6 |
| Christianity | 301 | 94.1 |
| Islam | 17 | 5.3 |
| Traditional religion | 2 | 0.6 |
| No formal | 13 | 4.1 |
| Primary | 9 | 2.8 |
| Secondary | 75 | 23.4 |
| Tertiary | 223 | 69.7 |
| Unemployed | 11 | 3.4 |
| Self-employed | 185 | 57.8 |
| Salaried employment | 124 | 38.8 |
| Low socio-economic class | 164 | 51.2 |
| High socio-economic class | 156 | 48.8 |
factors affecting good knowledge of COVID-19 among the respondents
| Variable | Good Knowledge N (%) | Poor knowledge N (%) | P value |
|---|---|---|---|
| <35 | 84 (75.7) | 27 (24.3) | 0.270 |
| 35-44 | 80 (80.0) | 20 (20.0) | |
| ≥45 | 92 (84.4) | 17 (15.6) | |
| Male | 136 (81.0) | 32 (19.0) | 0.654 |
| Female | 120 (78.9) | 32 (21.1) | |
| None | 52 (72.2) | 20 (27.8) | 0.170 |
| 1-4 children | 150 (82.0) | 33 (18.0) | |
| ≥5 children | 54 (83.1) | 11 (16.9) | |
| Married | 196 (82.0) | 43 (18.0) | 0.123 |
| Others** | 60 (74.1) | 21 (25.9) | |
| Tertiary | 179 (80.3) | 44 (19.7 | 0.855 |
| Secondary and less | 77 (79.4) | 20 (20.6) | |
| Unemployed | 9 (81.8) | 2 (18.2) | 0.852 |
| Self-employed | 146 78.9) | 39 (21.1) | |
| Salaried employment | 101 (81.5) | 23 (18.5) | |
| Low socio-economic class | 128 (78.0) | 36 (22.0) | 0.371 |
| High socio-economic class | 128 (82.1) | 28 (17.9) |
Never married, separated, divorced
practices of preventive measures against COVID-19 among the respondents
| Variable | Frequency | Percent (%) |
|---|---|---|
| Yes | 151 | 47.2 |
| No | 169 | 52.8 |
| Yes | 101 | 31.6 |
| No | 219 | 68.4 |
| Yes | 108 | 33.8 |
| No | 212 | 66.2 |
| Yes | 261 | 81.6 |
| No | 59 | 18.4 |
| Yes | 277 | 86.6 |
| No | 43 | 13.4 |
| Yes | 182 | 56.9 |
| No | 138 | 43.1 |
| Yes | 246 | 76.9 |
| No | 74 | 23.1 |
| Yes | 259 | 80.9 |
| No | 61 | 19.1 |
| Yes | 252 | 78.8 |
| No | 68 | 21.3 |
| Yes | 274 | 85.6 |
| No | 46 | 14.4 |
| Good | 133 | 41.6 |
| Poor | 187 | 58.4 |
factors affecting good preventive practices against COVID-19
| Variable | Good preventive practice N (%) | Poor preventive practice N (%) | p value* |
|---|---|---|---|
| <35 | 44 (39.6) | 67 (60.4) | 0.796 |
| 35-44 | 41 (41.0) | 59 (59.0) | |
| ≥45 | 48 (44.0) | 61 (56.0) | |
| Male | 65 (38.7) | 103 (61.3) | 0.273 |
| Female | 68 (44.7) | 84 (55.3) | |
| None | 25 (34.7) | 47 (65.3) | 0.380 |
| 1-4 children | 81 (44.3) | 102 (55.7) | |
| ≥5 children | 27 (41.5) | 38 (58.5) | |
| Married | 103 (43.1) | 136 (56.9) | 0.339 |
| Others* | 30 (37.0) | 51 (63.0) | |
| Tertiary | 86 (38.6) | 137 (61.4) | 0.099 |
| Secondary and less | 47 (48.5) | 50 (51.5) | |
| Unemployed | 7 (63.6) | 4 (36.4) | 0.141 |
| Self-employed | 70 (37.8) | 115 (62.2) | |
| Salaried employment | 56 (45.2) | 68 (54.8) | |
| Low | 69 (42.1) | 95 (57.9) | 0.849 |
| High | 64 (41.0) | 92 (59.0) | |
| Good | 119 (46.5) | 137 (53.5) | <0.001 |
| Poor | 14 (21.9) | 50 (78.1) |
P valued based on Chi Square statistics **Never married, separated, divorced
predictors of good preventive practices against COVID-19
| Variable | AOR (95% CI) | P value |
|---|---|---|
| Education | ||
| Secondary and less | 2 (1.10-3.13) | 0.021 |
| Tertiary | 1 | |
| Unemployed | 2.2 (0.57-8.09) | 0.257 |
| Self-employed | 0.6 (0.37-1.02) | 0.060 |
| Salaried employment | 1 | |
| Good | 3.2 (1.65-6.05) | 0.001 |
| Poor | 1 |