| Literature DB >> 34928975 |
Anteneh Fikrie1, Elias Amaje1, Wako Golicha1.
Abstract
BACKGROUND: Curtailing physical contact between individuals reduces transmission and spread of the disease. Social distancing is an accepted and effective strategy to delay the disease spread and reduce the magnitude of outbreaks of pandemic COVID-19. However, no study quantified social distancing practice and associated factors in the current study area. Therefore, the study aimed to assess social distancing practice and associated factors in response to COVID-19 pandemic in West Guji Zone, Southern Ethiopia, 2020. METHODS AND MATERIALS: A Community based cross-sectional study design was conducted among randomly selected 410 household members of Bule Hora Town, West Guji Zone. Data were collected by pre-tested interviewer administered structured questionnaire adapted from previous peer reviewed articles. The data were coded and entered in to Epi data version 3.5 and analyzed by SPSS version 23. The bivariate and multivariate logistic regressions analysis was done to identify factors associated with social distancing practice. Adjusted odds ratio with 95% confidence interval and p value <0.05 were used to declare statistical significance. RESULT: Out of 447 planned samples, 410 participants were successfully interviewed and included into final analysis; making the response rate of 91.7%. The median (±IQR) age of study participants was 28(±9) years. In this study, 38.3% [95% CI: 33.5%, 43.1%)] of the study participants have good social distancing practices for the prevention of COVID-19. Age group 26-30 years [AOR = 2.56(95% CI: 1.18-5.54)] and 31-35 years [AOR = 3.57(95%CI: 1.56-8.18)], employed [AOR = 6.10(95%CI: 3.46-10.74)],poor knowledge [AOR = 0.59 (95% CI:0.36-0.95)], negative attitude [AOR = 0.55 (95% CI:0.31-0.95)] and low perceived susceptibility [AOR = 0.33(95%CI: 0.20-0.54)] were significantly associated with good social distancing practice.Entities:
Mesh:
Year: 2021 PMID: 34928975 PMCID: PMC8687536 DOI: 10.1371/journal.pone.0261065
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of study participants at Bule Hora town, 2020.
| Variable | Category | Frequency | Percent % |
|---|---|---|---|
| Age | ≤20 | 46 | 11.2 |
| 21–25 | 92 | 22.4 | |
| 26–30 | 129 | 31.5 | |
| 31–35 | 78 | 19 | |
| >35 | 65 | 15.9 | |
| Sex of respondent | Male | 187 | 45.6 |
| Female | 223 | 54.4 | |
| Marital status | Married | 304 | 74.1 |
| Single | 84 | 20.5 | |
| Divorced | 11 | 2.7 | |
| Widowed | 11 | 2.7 | |
| Educational status | No formal education | 142 | 34.6 |
| Primary completed | 50 | 12.2 | |
| Secondary completed | 112 | 27.3 | |
| Higher and above | 106 | 25.9 | |
| Occupational status | Government employed | 92 | 22.4 |
| Merchant/Trade | 76 | 18.5 | |
| Farmer | 37 | 9 | |
| Private | 79 | 19.3 | |
| Housewife | 90 | 22 | |
| Others | 36 | 8.8 | |
| Housing tenure | Private | 158 | 38.5 |
| Rental | 252 | 61.5 | |
| Television | Yes | 207 | 50.5 |
| No | 203 | 49.5 | |
| Radio | Yes | 132 | 32.3 |
| No | 277 | 67.7 | |
| Family size | ≤2 | 78 | 19 |
| 3–4 | 156 | 38 | |
| ≥5 | 176 | 43 | |
| Monthly income of respondents in Ethiopian birrs | ≤1000 | 146 | 35.6 |
| 1001–3000 | 132 | 32.2 | |
| 3001–5000 | 63 | 15.4 | |
| ≥5001 | 69 | 16.8 |
*1 Birr = 0.0229$.
Medical condition of the study participants at Bule Hora town, 2020.
| Variable | Category | Frequency | Percent % |
|---|---|---|---|
| Do you have DM | Yes | 25 | 6.1 |
| No | 288 | 70.2 | |
| I don’t know | 97 | 23.7 | |
| Do you have HTN | Yes | 32 | 7.8 |
| No | 286 | 69.8 | |
| I don’t know | 92 | 22.4 | |
| Do you have Cardiac problem | Yes | 9 | 2.2 |
| No | 313 | 76.3 | |
| I don’t know | 88 | 21.5 | |
| Do you have Asthma | Yes | 24 | 5.9 |
| No | 318 | 77.6 | |
| I don’t know | 68 | 16.6 | |
| Do you have Cancer | Yes | 1 | 0.2 |
| No | 318 | 77.6 | |
| I don’t know | 91 | 22.2 | |
| Do you have HIV/AIDS | Yes | 28 | 6.8 |
| No | 247 | 60.2 | |
| I don’t know | 135 | 32.9 | |
| Do you smoke cigarette | Yes | 28 | 6.8 |
| No | 382 | 93.2 |
Perceived susceptibility of study participants toward COVID-19 pandemic.
| Perceived susceptibility | Responses | ||||
|---|---|---|---|---|---|
| S. disagree No (%) | Disagree No (%) | Neutral No (%) | Agree No (%) | S. agree No (%) | |
| Less chance to transmit infection to family members from sick person? | 232 (56.6) | 96 (23.4) | 26(6.3) | 42(10.2) | 14(3.4) |
| No chance to get infection for healthy person | 157(38.3) | 157(38.3) | 34(8.3) | 46(11.2) | 16(3.9) |
| Little chance to get infection for young | 128(31.2) | 178(43.4) | 46(11.2) | 40(9.8) | 18(4.4) |
| High chance to get infection from foreigner | 81(19.8) | 122(29.8) | 70(17.1) | 108(26.3) | 29(7.1) |
| Easily get disease in crowded place | 50(12.2) | 94(22.9) | 61(14.9) | 165(40.2) | 40(9.8) |
| Healthy life style will reduce the chance of infection | 39(9.5) | 101(24.6) | 61(14.9) | 163(39.8) | 46(11.2) |
Perceived severity of study participants toward COVID-19 pandemic.
| Perceived severity | Responses | ||||
|---|---|---|---|---|---|
| S. disagree N | Disagree N | Neutral N | Agree N | S. agree N | |
| COVID-19 will be more serious among elderly and people with comorbidities? | 56(13.7) | 54(13.2) | 50(12.2) | 148(36.1) | 102(24.9) |
| If I were infected with COVID-19, I will suffer severe symptoms | 51(12.4) | 42(10.2) | 67(16.3) | 180(43.9) | 70(17.1) |
| If I were infected with COVID-19, I could not survive | 50(12.2) | 68(16.6) | 101(24.6) | 120(29.3) | 70(17.1) |
| I can suffer from COVID-19 without signs and symptoms | 49(12) | 74(18) | 100(24.4) | 137(33.4) | 48(11.7) |
| COVID-19 will be treated if I were infected | 35(8.5) | 67(16.3) | 102(24.9) | 151(36.8) | 55(13.4) |
| If I were infected with COVID-19, i will recover spontaneously | 40(9.8) | 78(19) | 99(24.1) | 125(30.5) | 68(16.6) |
Perceived self-efficacy of study participants toward COVID-19 pandemic.
| Perceived self-efficacy | Responses | ||||
|---|---|---|---|---|---|
| No N | Low confident N | Neutral N | Much N | High confident N | |
| I can get access to the reliable health information on COVID-19 | 84(20.5) | 95(23.2) | 30(7.3) | 123(30) | 78(19) |
| I will eat healthy diet to prevent COVID-19 | 88(21.5) | 58(14.1) | 43(10.5) | 119(29) | 102(24.9) |
| To prevent COVID-19, I will wash my hands | 61(14.9) | 58(14.1) | 26(6.3) | 130(31.7) | 135(32.9) |
| I can prevent COVID-19 | 39(9.5) | 66(16.1) | 75(18.3) | 148(36.1) | 82(20) |
| To prevent COVID-19, I will avoid visiting crowded places | 42(10.2) | 71(17.3) | 46(11.2) | 160(39) | 91(22.2) |
| To prevent COVID-19, I will use face mask whenever I go to crowded place | 40(9.8) | 62(15.1) | 51(12.4) | 154(37.6) | 103(25.1) |
Perceived barriers of study participants toward COVID-19 pandemic.
| Perceived barriers | Responses | ||||
|---|---|---|---|---|---|
| S. disagree N | Disagree N | Neutral N | Agree N | S. agree N | |
| Hard to refrain social gatherings at home | 84(20.5) | 42(10.5) | 26(6.3) | 122(29.8) | 136(33.2) |
| Hard to stay home too much | 49(12) | 50(12.2) | 24(5.9) | 136(33.2) | 151(36.8) |
| Difficult using face mask daily? | 41(10) | 57(13.9) | 25(6.1) | 140(34.1) | 147(35.9) |
| Can’t afford to buy soap/alcohol containing hand sanitizer | 27(6.6) | 46(11.2) | 60(14.6) | 156(38) | 120(29.3) |
Perceived benefits of study participants toward COVID-19 pandemic.
| Perceived benefits | Responses | ||||
|---|---|---|---|---|---|
| S. disagree N | Disagree N | Neutral N | Agree N | S. agree N | |
| When I am doing something protective measures of COVID-19, I am caring for myself and my families | 73(17.8) | 31(7.6) | 43(10.5) | 191(46.6) | 72(17.6) |
| When I keep social distancing, I am setting a good example for others | 37(9) | 75(18.3) | 73(17.8) | 142(34.6) | 83(20.2) |
| When I wear face mask at crowded area, I am decreasing my chances of contracting COVID-19? | 28(6.8) | 73(17.8) | 72(17.6) | 159(38.8) | 78(19) |
| Staying home will reduce my chances of contracting COVID-19? | 24(5.9) | 54(13.2) | 76(18.5) | 155(37.8) | 101(24.6) |
Participants’ knowledge of risky groups, symptoms, prevention methods of COVID-19 among Bule Hora town adults (n = 410).
| Variable | Category | Frequency | Percent |
|---|---|---|---|
| Ever heard about corona virus | Yes | 98 | 99.5 |
| No | 2 | 0.5 | |
| What was your source of information? | Health personnel | 157 | 38.3 |
| Social media | 76 | 18.5 | |
| FMOH sources | 23 | 5.6 | |
| Mass media | 125 | 30.5 | |
| Friends/family members/relatives | 29 | 7.1 | |
| Trusted source of information | Health personnel | 166 | 40.5 |
| Social media | 58 | 14.1 | |
| FMOH sources | 38 | 9.3 | |
| Mass media | 128 | 31.2 | |
| Friends/family members/relatives | 20 | 4.9 | |
| The cause of COVID-19 is? | Virus | 246 | 60 |
| Others* | 164 | 40 | |
| Can COVID-19 transmit human-to-human? | Yes | 386 | 94.1 |
| No | 24 | 5.9 | |
| What are the modes of transmission of COVID-19? | Airborne | 152 | 37.1 |
| Physical contact with contaminated object | 208 | 50.7 | |
| Physical contact with infected people | 154 | 37.6 | |
| Eating raw meat | 148 | 36.1 | |
| Prevention methods of COVID-19 | Avoid close contact with people who are sick | 237 | 57.8 |
| Frequent hand washing with soap and water/alcohol-based hand sanitizer | 322 | 78.5 | |
| Avoid touching your eye, nose, mouth with unwashed hands | 169 | 41.2 | |
| Avoid shaking hands | 152 | 37.1 | |
| Avoid crowded place | 255 | 62.6 | |
| Disinfecting/cleaning objects and surfaces | 134 | 32.7 | |
| Stay at home/work at home | 84 | 20.5 | |
| Practicing good respiratory hygiene | 113 | 27.6 | |
| The main clinical symptoms of COVID-19 | Fever | 344 | 83.9 |
| Dry Cough | 318 | 77.6 | |
| Breathing difficulty | 182 | 44.4 | |
| Fatigue | 110 | 26.8 | |
| Sneezing | 199 | 48.5 | |
| Headache | 163 | 39.8 | |
| There is no effective vaccine for COVID-19? | Yes | 233 | 56.8 |
| No | 177 | 43.2 | |
| There is no any definitive treatment of COVID-19 currently? | Yes | 278 | 67.8 |
| No | 132 | 32.2 | |
| High-risk population of COVID-19 | Children | 128 | 31.2 |
| Elderly | 179 | 43.7 | |
| Pregnant women | 72 | 17.6 | |
| People with chronic disease | 121 | 29.5 | |
| Cigarette smokers | 43 | 10.5 |
Attitudes of study participants about COVID-19 and social distancing.
| Questions | Responses | ||||
|---|---|---|---|---|---|
| S. disagree N | Disagree N | Neutral N | Agree N | S. agree N | |
| Do you like to stay at home for certain period (14 days) to prevent COVID-19 spread if government will order so? | 234(57.1) | 68(16.6) | 25(6.1) | 66(16.1) | 17(4.1) |
| Do you think that social distancing (e.g. stay 2 m apart, avoiding crowds, etc.) can prevent COVID-19 spread? | 69(16.8) | 101(24.6) | 82(20) | 125(30.5) | 33(8) |
| Do you agree that we should cancel business/recreational trips at this time? | 69(16.8) | 149(36.3) | 101(24.6) | 60(14.6) | 31(7.6) |
| Do you believe that working from home can help to control COVID-19? | 68(16.6) | 109(26.6) | 120(29.3) | 67(16.3) | 46(11.2) |
| When someone has signs and symptoms of COVID-19, I can confidently keep my physical distance from him/her? | 33(8) | 43(10.5) | 75(18.3) | 184(44.9) | 75(18.3) |
| Do you think that, Ethiopia is in a good position to | 28(6.8) | 80(19.5) | 85(20.7) | 130(31.7) | 87(21.2) |
Social distancing practice of study participant for COVID-19 prevention.
| Questions | Responses | ||
|---|---|---|---|
| Always N | Occasional N | Never N | |
| Avoid contact with someone who is displaying symptoms of coronavirus | 169(41.2) | 154(37.6) | 87(21.2) |
| Avoid non-essential use of public transport when possible | 132(32.2) | 22(5.4) | 256(62.4) |
| Work at home | 121(29.5) | 11(2.7) | 278(67.8) |
| Avoid large and small gatherings in public spaces (pubs, restaurants, leisure centers) | 163(39.8) | 7(1.7) | 240(58.5) |
| Avoid gatherings with friends and family | 135(32.9) | 19(4.6) | 256(62.4) |
| Maintaining non-contact greetings | 348(84.9) | 22(5.4) | 40(9.8) |
| Maintain 2 meters distance between yourself & other people | 156(38) | 40(9.8) | 214(52.2) |
| Stay home when ill | 91(22.2) | 88(21.5) | 231(56.3) |
Factors associated with knowledge of risky groups, symptoms, and prevention methods of COVID-19 among households of Bule Hora town, Southern Ethiopia, 2020.
| Variables | Knowledge | COR (95% Cl) | AOR (95% Cl) | |||||
|---|---|---|---|---|---|---|---|---|
| Good | Poor | |||||||
| N | % | N | % | |||||
| Sex of respondent | ||||||||
| Male | 109 | 58.3 | 78 | 41.7 | 1.36 (0.91–2.01) | 1.25 (0.82–1.90) | ||
| Female | 113 | 50.7 | 110 | 49.3 | 1 | 1 | ||
| Age of respondents | ||||||||
| 21 | 45.7 | 25 | 54.3 | 0.63(0.27–1.35) | ||||
| 21–25 | 48 | 52.2 | 44 | 47.8 | 0.82(0.43–1.56) | |||
| 26–30 | 69 | 53.5 | 60 | 46.5 | 0.87(0.47–1.58) | |||
| 31–35 | 47 | 60.3 | 31 | 39.7 | 1.14(0.58–2.23) | |||
| >35 | 37 | 56.9 | 28 | 43.1 | 1 | |||
| Educational status | ||||||||
| No formal education | 76 | 53.5 | 66 | 46.5 | 1 | |||
| Primary completed | 25 | 50 | 25 | 50 | 0.86(0.45–1.65) | |||
| Secondary completed | 61 | 54.5 | 51 | 45.5 | 1.03(0.63–1.70) | |||
| College and above | 60 | 56.6 | 46 | 43.4 | 1.13(0.68–1.87) | |||
| Occupational status | ||||||||
| Employed | 81 | 62.8 | 48 | 37.2 | 1.67(1.09–2.56) | 1.65(1.05–2.58) | ||
| Unemployed | 141 | 49.8 | 140 | 50.2 | 1 | 1 | ||
| TV | ||||||||
| Yes | 118 | 57 | 89 | 43 | 1 | 1 | ||
| No | 104 | 51.2 | 99 | 48.8 | 0.79(0.53–1.16) | 0.86(0.57–1.30) | ||
| Radio | ||||||||
| Yes | 77 | 58.3 | 55 | 41.7 | 1 | |||
| No | 144 | 52 | 133 | 48 | 0.77(0.50–1.17) | |||
| Family size | ||||||||
| ≤2 | 38 | 47.7 | 40 | 42.3 | 0.67(0.39–1.15) | 0.71(0.41–1.26) | ||
| 3–4 | 81 | 51.9 | 75 | 48.1 | 0.76(0.49–1.18) | 0.77(0.48–1.21) | ||
| ≥5 | 103 | 58.5 | 73 | 41.5 | 1 | 1 | ||
| At least one Chronic disease | ||||||||
| Yes | 60 | 60.6 | 39 | 39.4 | 1 | 1 | ||
| No | 162 | 52.1 | 49 | 47.9 | 0.70(0.44–1.12) | 0.80(0.48–1.34) | ||
| Attitude | ||||||||
| Negative | 51 | 45.5 | 61 | 54.5 | 1 | 1 | ||
| Positive | 171 | 57.4 | 127 | 42.6 | 1.16(1.04–2.49) | 1.65(1.02–2.66) | ||
| Perceived Susceptibility | ||||||||
| Low susceptibility | 83 | 48.5 | 88 | 51.5 | 0.67(0.45–1.07) | 0.65(0.43–0.99) | ||
| Highly susceptibility | 139 | 58.2 | 100 | 41.8 | 1 | 1 | ||
| Perceived Severity | ||||||||
| Less severe | 45 | 57 | 34 | 43 | 1.17(0.71–1.92) | |||
| Highly Severe | 174 | 53 | 154 | 47 | 1 | |||
| Perceived self-efficacy | ||||||||
| Low self-efficacy | 63 | 57.8 | 46 | 42.2 | 1.23(0.78–1.90) | |||
| High self-efficacy | 159 | 52.8 | 142 | 47.2 | 1 | |||
| Perceived Benefits | ||||||||
| Not Benefits | 26 | 45.6 | 31 | 54.4 | 0.67(0.38–1.17) | |||
| Benefits | 196 | 55.5 | 157 | 44.5 | 1 | |||
*p-value <0.05,
** p-value <0.001,
***p-value<0.0001;
# Government and private employed.
Factors associated with attitudes of study participants about COVID-19 and social distancing among Households of Bule Hora town, Southern Ethiopia, 2020.
| Variables | Attitude | COR (95% Cl) | AOR (95% Cl) | ||||
|---|---|---|---|---|---|---|---|
| Positive | Negative | ||||||
| N | % | N | % | ||||
| Sex of respondent | |||||||
| Male | 137 | 73.3 | 50 | 26.7 | 1.05 (0.68–1.63) | ||
| Female | 161 | 72.2 | 62 | 27.8 | 1 | ||
| Age of respondents | |||||||
| 34 | 73.9 | 12 | 26.1 | 0.57(0.22–1.45) | 0.41(0.12–1.33) | ||
| 21–25 | 67 | 72.8 | 25 | 27.2 | 0.54(0.24–1.20) | 0.43(0.15–1.20) | |
| 26–30 | 91 | 70.5 | 38 | 29.5 | 0.48(0.23–1.03) | 0.32(0.13–0.80) | |
| 31–35 | 52 | 66.7 | 26 | 33.3 | 0.40(0.18–0.90) | 0.34(0.14–0.82) | |
| >35 | 54 | 83.1 | 11 | 16.9 | 1 | 1 | |
| Educational status | |||||||
| No formal education | 101 | 71.1 | 41 | 28.9 | 1 | 1 | |
| Primary completed | 40 | 80 | 10 | 20 | 1.64(0.74–3.55) | 1.73(0.73–4.11) | |
| Secondary completed | 78 | 69.6 | 34 | 30.4 | 0.93(0.54–1.60) | 1.27(0.67–2.41) | |
| College and above | 79 | 74.5 | 27 | 23.5 | 1.18(0.67–2.09) | 1.56(0.83–2.92) | |
| Occupational status | |||||||
| Employed | 89 | 69 | 40 | 31 | 0.76(0.48–1.21) | ||
| Unemployed | 209 | 25.6 | 72 | 74.4 | 1 | ||
| Family size | |||||||
| ≤2 | 47 | 60.3 | 31 | 39.7 | 0.55(0.31–0.97) | 0.70(0.33–1.50) | |
| 3–4 | 122 | 78.2 | 34 | 21.8 | 1.30 (0.78–2.16) | 1.63(0.87–3.06) | |
| ≥5 | 129 | 73.3 | 47 | 26.7 | 1 | 1 | |
| At least one Chronic disease | |||||||
| Yes | 71 | 71.7 | 28 | 28.3 | 1 | ||
| No | 227 | 73 | 84 | 27 | 1.06(0.64–1.76) | ||
| Perceived Susceptibility | |||||||
| Low susceptibility | 119 | 69.6 | 52 | 30.4 | 0.76(0.49–1.18) | 1.06(0.65–1.74) | |
| Highly susceptibility | 179 | 74.9 | 60 | 23.1 | 1 | 1 | |
| Perceived Severity | |||||||
| Less severe | 46 | 58.2 | 33 | 41.8 | 0.44(0.26–0.73) | 0.57(0.32–0.99) | |
| Highly Severe | 249 | 75.9 | 79 | 24.1 | 1 | 1 | |
| Perceived self-efficacy | |||||||
| Low self-efficacy | 68 | 62.4 | 41 | 37.6 | 0.51(0.32–0.81) | 0.52(0.31–0.88) | |
| High self-efficacy | 230 | 76.4 | 71 | 23.6 | 1 | 1 | |
| Perceived Barriers | |||||||
| Barriers | 47 | 68.1 | 22 | 31.9 | 0.76(0.43–1.34) | ||
| Not barriers | 251 | 73.6 | 90 | 26.4 | 1 | ||
*p-value <0.05,
** p-value <0.001,
***p-value<0.0001;
# Government and private employed.
Factors associated with social distancing practices for the prevention of COVID-19 among households of Bule Hora town, Southern Ethiopia, 2020.
| Variables | Practice | COR (95% Cl) | AOR (95% Cl) | ||||
|---|---|---|---|---|---|---|---|
| Good | Poor | ||||||
| No. | (%) | No. | (%) | ||||
| Sex of respondent | |||||||
| Male | 73 | 46.5 | 114 | 45.1 | 0.94 (0.63–1.40) | ||
| Female | 84 | 53.5 | 139 | 54.9 | 1 | ||
| Age of respondents | |||||||
| 16 | 10.2 | 30 | 11.9 | 1.50(0.66–3.42) | 2.26(0.81–6.34) | ||
| 21–25 | 36 | 22.9 | 56 | 22.1 | 1.81(0.90–3.63) | 2.04(0.87–4.77) | |
| 26–30 | 51 | 32.5 | 78 | 30.8 | 1.84(0.95–3.55) | 2.56(1.18–5.54) | |
| 31–35 | 37 | 23.6 | 41 | 16.2 | 2.54(1.25–5.18) | 3.57(1.56–8.18) | |
| >35 | 17 | 10.8 | 48 | 19.0 | 1 | 1 | |
| Educational status | |||||||
| No formal education | 45 | 28.7 | 97 | 38.3 | 1 | 1 | |
| Primary completed | 23 | 14.6 | 27 | 10.7 | 1.83(0.95–3.54) | 1.80(0.81–4.00) | |
| Secondary completed | 43 | 27.4 | 69 | 27.3 | 1.34(0.79–2.25) | 1.45(0.76–2.97) | |
| College and above | 46 | 29.3 | 60 | 23.7 | 1.65(0.98–2.78) | 0.65(0.33–1.28) | |
| Occupational status | |||||||
| Employed | 80 | 51.8 | 49 | 19.4 | 4.32(2.78–6.72) | 6.10(3.46–10.74) | |
| Unemployed | 107 | 68.2 | 174 | 68.8 | 1 | 1 | |
| Housing tenure | |||||||
| Private | 58 | 36.9 | 100 | 39.5 | 1 | ||
| Rental | 99 | 63.1 | 153 | 60.5 | 1.11(0.74–1.68) | ||
| TV | |||||||
| Yes | 86 | 54.8 | 121 | 47.8 | 1 | 1 | |
| No | 71 | 45.2 | 132 | 52.2 | 0.75(0.50–1.12) | 0.65(0.40–1.05) | |
| Radio | |||||||
| Yes | 54 | 34.4 | 78 | 31 | 1 | ||
| No | 103 | 65.6 | 174 | 69 | 0.85(0.56–1.30) | ||
| Family size | |||||||
| ≤2 | 27 | 17.2 | 51 | 20.2 | 0.88(0.50–1.54) | ||
| 3–4 | 64 | 40.8 | 92 | 36.4 | 1.15(0.74–1.80) | ||
| ≥5 | 66 | 42 | 110 | 43.5 | 1 | ||
| Cigarette smoking | |||||||
| Yes | 14 | 8.9 | 14 | 5.5 | 1 | 1 | |
| No | 143 | 91.1 | 239 | 94.5 | 0.59(0.27–1.29) | 0.84(0.34–2.06) | |
| At least one Chronic disease | |||||||
| Yes | 36 | 22.9 | 63 | 24.9 | 1 | ||
| No | 121 | 77.1 | 190 | 75.1 | 1.14(0.69–1.78) | ||
| Attitude | |||||||
| Positive | 123 | 78.3 | 175 | 69.2 | 1 | 1 | |
| Negative | 34 | 21.7 | 78 | 30.8 | 0.60(0.39–0.98) | 0.55(0.31–0.95) | |
| Knowledge | |||||||
| Good | 102 | 65 | 120 | 47.4 | 1 | 1 | |
| Poor | 55 | 35 | 133 | 52.6 | 0.48(0.32–0.73) | 0.59(0.36–0.95) | |
| Perceived Susceptibility | |||||||
| Low susceptibility | 42 | 26.7 | 129 | 51 | 0.35(0.37–0.84) | 0.33(0.20–0.54) | |
| Highly susceptibility | 115 | 73.3 | 124 | 49 | 1 | 1 | |
| Perceived Severity | |||||||
| Not severe | 34 | 21.9 | 45 | 17.9 | 1.29(0.78–2.12) | ||
| Severe | 121 | 78.1 | 207 | 82.1 | 1 | ||
| Perceived Self-efficacy | |||||||
| Low self-efficacy | 42 | 26.8 | 67 | 26.5 | 1.04(0.64–1.59) | ||
| High self-efficacy | 115 | 73.2 | 186 | 73.5 | 1 | ||
| Perceived Barriers | |||||||
| Barriers | 20 | 12.7 | 49 | 19.4 | 0.68(0.34–1.06) | 0.55(0.28–1.07) | |
| Not barriers | 137 | 87.3 | 204 | 80.6 | 1 | 1 | |
| Perceived Benefits | |||||||
| Not Benefited | 38 | 24.2 | 42 | 16.6 | 0.53(0.28–0.99) | 0.88(0.42–1.87) | |
| Benefits | 119 | 75.8 | 211 | 83.4 | 1 | 1 | |
*p-value <0.05,
** p-value <0.001,
***p-value<0.0001;
# Government and private employed.