| Literature DB >> 35071626 |
Shakeer Kahn Patan1, Sravana Deepthi Chittem1, Pallavi Madithati2, Bayapa Reddy Narapureddy3, Chandra Sekhar Chittooru1, Kalyan Viswanath Reddy Lingala4, Kumar Gular5.
Abstract
BACKGROUND: The 2019-novel coronavirus (2019-nCoV) started as an epidemic later transformed into a pandemic causing a threat to public health globally. Any community to fight the COVID-19 pandemic requires adequate knowledge, attitude of the people, and practice of the government-imposed laws and regulations. Based on these factors, we framed the objectives to find the sociodemographic profile of the study group and to assess their knowledge, attitude, and practice (KAP) toward COVID-19. These results will help the health planners and administrators in each state to find out the gap in health education efforts.Entities:
Keywords: Attitudes; COVID-19; South India; behavioral communication; knowledge; pandemic; practices; preventive measures
Year: 2021 PMID: 35071626 PMCID: PMC8719546 DOI: 10.4103/jehp.jehp_323_21
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Distribution of study participants based on sociodemographic profile
| Variable | Female, | Male, | Total, |
|---|---|---|---|
| Age group (years) | |||
| <20 | 233 (29) | 169 (20) | 402 (24) |
| 21-40 | 352 (43) | 384 (46) | 736 (45) |
| 41-60 | 202 (25) | 231 (28) | 433 (26) |
| >60 | 28 (3) | 45 (5) | 73 (4) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
| Marital status | |||
| Unmarried | 428 (53) | 391 (47) | 819 (50) |
| Married | 341 (42) | 430 (52) | 771 (47) |
| Separated | 2 (0) | 1 (0) | 3 (0.1) |
| Divorcee | 3 (0) | 5 (1) | 8 (0.4) |
| Widow | 41 (5) | 2 (0) | 43 (2.6) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
| Education (class) | |||
| Illiterate | 31 (4) | 21 (3) | 52 (3) |
| Primary (1st-5th) | 39 (5) | 32 (4) | 71 (4) |
| Middle (6th-7th) | 24 (3) | 38 (5) | 62 (3.7) |
| High school (8th-10th) | 79 (10) | 118 (14) | 197 (12) |
| Inter/diploma | 181 (22) | 189 (23) | 370 (23) |
| Graduate | 327 (40) | 317 (38) | 644 (39) |
| Postgraduates/professional degree | 134 (16) | 114 (14) | 248 (15) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
| Type of family | |||
| Joint | 85 (10) | 118 (14) | 203 (12) |
| Nuclear | 703 (86) | 684 (83) | 1387 (84) |
| Three generation | 27 (3) | 27 (3) | 54 (3) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
| Residential area | |||
| Metropolitan (>1,000,000 population) | 58 (7) | 49 (6) | 107 (7) |
| Rural (<10,000 population) | 167 (20) | 183 (22) | 350 (21) |
| Semiurban (10,000-100,000 population) | 172 (21) | 247 (30) | 419 (25) |
| Urban (100,000-1,000,000 population) | 418 (51) | 350 (42) | 768 (47) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
Distribution of study participants based on occupation and socioeconomic profile
| Variable | Female, | Male, | Total, |
|---|---|---|---|
| Occupation | |||
| Homemaker | 31 (4) | 0 | 31 (2) |
| Professional | 56 (7) | 95 (11) | 151 (9) |
| Semiprofessional | 105 (13) | 150 (18) | 255 (16) |
| Skilled | 29 (4) | 83 (10) | 112 (7) |
| Semiskilled | 30 (4) | 119 (14) | 149 (9) |
| Unskilled | 24 (3) | 83 (10) | 107 (7) |
| Student | 319 (39) | 253 (31) | 572 (35) |
| Unemployed | 221 (27) | 46 (6) | 267 (16) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
| Socioeconomic status | |||
| I | 574 (70) | 507 (61) | 1081 (66) |
| II | 134 (16) | 196 (24) | 330 (20) |
| III | 62 (8) | 78 (9) | 140 (9) |
| IV | 28 (3) | 36 (4) | 64 (4) |
| V | 17 (2) | 12 (1) | 29 (2) |
| Total | 815 (100) | 829 (100) | 1644 (100) |
Distribution of study participants based on knowledge on COVID-19 disease
| Knowledge | Frequency (%) | ||
|---|---|---|---|
|
| |||
| True | False | Don’t know | |
| K1. COVID-19 is caused by virus | 1590 (96.7) | 20 (1.2) | 34 (2.1) |
| K2. The major clinical symptoms of COVID-19 | |||
| Fever | 1610 (98.0) | 17 (1.0) | 17 (1.0) |
| Cough and sore throat | 1614 (98.0) | 16 (1.0) | 14 (1.0) |
| Body pain | 1323 (80.5) | 83 (5.0) | 238 (14.5) |
| Breathlessness | 1549 (94.2) | 27 (1.7) | 68 (4.1) |
| Loss of smell or taste | 1293 (78.6) | 120 (7.3) | 231 (14.1) |
| K3. COVID-19 is a contagious disease | 1578 (96.0) | 33 (2.0) | 33 (2.0) |
| K4. Preventive measures of COVID-19 | |||
| Not contacting directly with infected person (shake hands/hugging/kissing) | 1622 (98.7) | 13 (0.8) | 9 (0.5) |
| Wearing face masks in public places | 1609 (97.9) | 31 (1.9) | 4 (0.2) |
| Maintain social distancing>1 m | 1582 (96.2) | 46 (2.8) | 16 (1.0) |
| Not sharing articles (fomites) of infected persons | 1399 (85.1) | 156 (9.5) | 89 (5.4) |
| Consumption of contaminated food items | 1110 (67.5) | 392 (23.9) | 142 (8.6) |
| K5. Infected material responsible for the transmission of COVID-19 | |||
| Respiratory droplets | 1607 (97.7) | 5 (0.3) | 32 (12.0) |
| Saliva | 1477 (89.8) | 64 (3.9) | 103 (6.3) |
| Urine | 477 (29.0) | 571 (34.7) | 596 (36.3) |
| Fecal matter | 422 (25.7) | 572 (34.8) | 650 (39.5) |
| Blood | 798 (48.5) | 323 (19.6) | 523 (31.9) |
| K6. Age group severely affected (years) | |||
| Children (<10) | 1326 (80.7) | 198 (12.0) | 120 (7.3) |
| Adolescent (11-20) | 383 (23.3) | 900 (54.7) | 361 (22.0) |
| Adults (21-50) | 602 (36.6) | 701 (42.6) | 341 (20.8) |
| Aged persons (>51) | 1591 (96.8) | 28 (1.7) | 25 (1.5) |
| K7. There is increasing trend of COVID-19 disease in India | 1598 (97.2) | 17 (1.0) | 29 (1.8) |
| K8. Currently there is no effective cure for COVID-2019 | 1286 (78.2) | 182 (11.1) | 176 (10.7) |
| K9. Elderly who has chronic illnesses (HTN, cancer, diabetes, and chronic respiratory diseases) are more likely to get severe disease | 1564 (95.1) | 17 (1.0) | 63 (3.9) |
| K10. Washing hands with water and soap can eliminate the disease cause | 1570 (95.5) | 36 (2.2) | 38 (2.3) |
| K11. Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virus | 1574 (95.7) | 11 (0.7) | 59 (3.6) |
HTN=Hypertension
Distribution of study participants based on attitude
| Attitude | Frequency (%) | ||
|---|---|---|---|
|
| |||
| Yes | No | Don’t know | |
| A1. In your opinion does lockdown will prevent the transmission of COVID-19 | 1398 (85.0) | 154 (9.4) | 92 (5.6) |
| A2. In your opinion does COVID-19 will finally be successfully controlled | 886 (53.9) | 381 (23.2) | 377 (22.9) |
| A3. In your opinion does early detection of COVID-19 can improve treatment and outcome | 1528 (92.9) | 25 (1.5) | 91 (5.5) |
| A4. In your opinion does awareness regarding COVID-19 disease in society is adequate | 924 (56.2) | 578 (35.2) | 142 (8.6) |
| A5. In your opinion does COVID-19 disease can be transmitted through household pets to humans and vice versa | 570 (34.7) | 587 (35.7) | 487 (29.6) |
| A6. In your opinion do authorities should quarantine COVID-19 patients in special hospitals | 1456 (88.6) | 87 (5.3) | 101 (6.1) |
| A7. In your opinion if the number of COVID-19 cases increases, government should implement lockdown measures again | 1331 (81.0) | 177 (10.8) | 136 (8.3) |
Education and socioeconomic status were the predictor variables for attitude scores
| Model | Unstandardized coefficients | Standardized coefficients (β) |
| Significant | 95% CI for β (lower bound-upper bound) | |
|---|---|---|---|---|---|---|
|
| ||||||
| β | SE | |||||
| Constant | 5.003 | 0.315 | 15.869 | 0.000 | 4.385-5.621 | |
| Age | −0.003 | 0.003 | −0.033 | −1.162 | 0.246 | −0.009-0.002 |
| Education | 0.106 | 0.031 | 0.099 | 3.419 | 0.001 | 0.045-0.167 |
| Occupation | −0.005 | 0.021 | −0.007 | −0.224 | 0.823 | −0.046-0.036 |
| Type of family | −0.143 | 0.098 | −0.036 | −1.464 | 0.143 | −0.335-0.049 |
| Socioeconomic status | −0.213 | 0.043 | −0.128 | −4.969 | 0.000 | −0.298-−0.129 |
| Residential area | 0.042 | 0.044 | 0.024 | 0.950 | 0.342 | −0.045-0.129 |
Dependent variable: Attitude score. CI=Confidence interval, SE=Standard error
Distribution of study participants based on practice of preventive strategy for COVID-19
| Practices | Frequency (%) | ||
|---|---|---|---|
|
| |||
| Always | Sometimes | Rarely | |
| P1. How often will you go outside when compared with that of before COVID-19 pandemic | 218 (13.3) | 471 (28.6) | 955 (58.1) |
| P2. How often you wear mask while going outside | 1492 (90.8) | 118 (7.2) | 34 (2.1) |
| P3. How often you practice hand hygiene with soap or sanitizer | 1385 (84.2) | 218 (13.3) | 41 (2.5) |
| P4. How often you avoid handshaking, hugging, and kissing while meeting with others | 1381 (84.0) | 126 (7.7) | 137 (8.3) |
| P5. How often you maintain social distance when you go out for market or public places | 1377 (83.8) | 214 (13.0) | 53 (3.2) |
Univariate analysis of sociodemographic variables and knowledge, attitude, and practices related to COVID-19
| Variable |
| Knowledge | Attitude | Practice | |||
|---|---|---|---|---|---|---|---|
|
|
|
| |||||
| Mean±SD |
| Mean±SD |
| Mean±SD |
| ||
| Gender | |||||||
| Female | 815 | 17.59±1.9 | >0.05 | 4.96±1.5 | >0.05 | 8.95±1.5 | <0.001 |
| Male | 829 | 17.51±1.9 | 4.88±1.5 | 8.49±1.6 | |||
| Marital status | |||||||
| Single | 873 | 17.51±2.0 | >0.05 | 4.98±1.5 | >0.05 | 8.83±1.5 | <0.001 |
| Married | 771 | 17.60±1.8 | 4.86±1.6 | 8.59±1.5 | |||
| Age group (years) | |||||||
| <20 | 402 | 17.40±2.2 | <0.001 | 4.98±1.4 | 0.02 | 8.94±1.4 | 0.01 |
| 21-40 | 736 | 17.76±1.5 | 5.00±1.5 | 8.66±1.5 | |||
| 41-60 | 433 | 17.50±2.0 | 4.81±1.5 | 8.62±1.6 | |||
| >60 | 73 | 16.52±3.0 | 4.51±2.0 | 8.58±1.7 | |||
| Education | |||||||
| Illiterate | 52 | 15.12±3.8 | <0.001 | 3.96±2.0 | <0.001 | 7.88±2.2 | <0.001 |
| Primary/secondary/high school | 330 | 16.86±2.5 | 4.65±1.7 | 8.37±1.7 | |||
| Inter/diploma | 370 | 17.71±1.5 | 5.04±1.4 | 8.75±1.5 | |||
| Graduate and above | 892 | 17.88±1.5 | 5.03±1.4 | 8.87±1.4 | |||
| Occupation | |||||||
| Student | 572 | 17.52±2.0 | <0.001 | 4.99±1.4 | <0.001 | 8.89±1.5 | <0.001 |
| Unemployed | 298 | 17.35±1.9 | 4.82±1.6 | 8.83±1.5 | |||
| Unskilled/semiskilled/skilled | 368 | 17.22±2.2 | 4.65±1.6 | 8.24±1.6 | |||
| Professional | 406 | 18.04±1.2 | 5.15±1.4 | 8.82±1.4 | |||
| Type of family | |||||||
| Joint | 203 | 17.66±1.7 | <0.001 | 4.97±1.5 | <0.001 | 8.74±1.5 | >0.05 |
| Nuclear | 1387 | 16.93±2.9 | 4.83±1.7 | 8.50±1.7 | |||
| Three generation | 54 | 17.09±2.0 | 4.06±1.5 | 8.81±1.5 | |||
| Socioeconomic status | |||||||
| I | 1081 | 17.78±1.6 | <0.001 | 5.09±1.4 | <0.001 | 8.82±1.5 | 0.007 |
| II | 330 | 17.26±2.0 | 4.73±1.5 | 8.48±1.6 | |||
| III | 140 | 17.41±2.7 | 4.45±1.7 | 8.59±1.4 | |||
| IV | 64 | 16.88±2.3 | 4.47±1.9 | 8.48±1.6 | |||
| V | 29 | 15.97±3.2 | 4.07±1.9 | 8.72±1.4 | |||
| Residential area | |||||||
| Rural | 350 | 17.41±2.3 | >0.05 | 4.66±1.6 | <0.001 | 8.55±1.7 | 0.013 |
| Semiurban | 419 | 17.44±1.7 | 5.01±1.5 | 8.65±1.5 | |||
| Urban | 768 | 17.69±1.8 | 4.95±1.5 | 8.78±1.5 | |||
| Metropolitan | 107 | 17.48±1.8 | 5.22±1.3 | 9.04±1.4 | |||
SD=Standard deviation