Knowledge regarding selected Mosquito Borne Disease and its Prevention
Laishram Dabashini Devi
Global College of Nursing, Bangalore.
*Corresponding Author Email: roshini999.bk@gmail.com
ABSTRACT:
The study intends to assess the knowledge on mosquito borne diseases and its prevention among the residents of Bengaluru. In this study descriptive approach was used. 60 samples were drawn from population using convenient sampling technique. The data was collected by structured questionnaire schedule. The major findings of the study respondent’s mean knowledge score 2.6% of the respondents had inadequate knowledge,88.3% of the respondents had moderate knowledge and 10% of the respondents had adequate knowledge on mosquito borne diseases and its prevention. The study concluded that there is a need of the hour to control the mosquito borne diseases so that many health problems can be prevented with the involment of the community people.
KEYWORDS: Mosquito Borne Disease, Prevention.
INTRODUCTION:
Mosquitoes and mosquito borne disease continue to play maintained throughout the world. In our country over one million people die from mosquito borne diseases. Every year hundreds of million are experience pain and suffering from illness transmitted by mosquito. Approximately 40 percent of the world's population is susceptible to malaria mostly in tropical and subtropical areas of world. More than 3 million deaths and 300-500 million cases are reported annually in the world among1.9 million populations are children.1 Since the beginning of human life on earth mosquitoes have been an important part of environment. Human being is always found in a context to combat the diseases transmitted by mosquitoes. Various measures in the form of national health programmes have been taken to control and eradicate the mosquito borne diseases and the war is still going on mosquito constitute the most important single family of human health.2 There might be hardly any place on earth, where mosquitoes are not found.
The four important groups of mosquitoes contributing to disease transmission are Anopheles, Culex, Aedes and Monsoia. Mosquito play an important role in the transmission of many human diseases. They act as vector of many diseases like Malaria, Chikungunya, and Dengue fever. In India nearly 95 percent of the population is exposed to the epidemics such as malaria, with friendly condition for mosquito breeding.3
OBJECTIVES:
· To assess the knowledge of residents regarding selected mosquito borne disease and its prevention
· To find out the association between the knowledge of residents regarding selected mosquito borne disease and its impact on health and its prevention with their selected socio demographic variables.
MATERIAL AND METHODS:
The descriptive design was used to assess the knowledge of people regarding Mosquito borne diseases and its prevention. The study subject was selected from Bangarappa nagar, PHC area, Bangalore south. The target population for the present study was people above the age group of 20 years. The sample size comprises of 60 people. The convenient sampling type was adopted for selecting samples for the present study. The tool was developed by the investigators based on the research problem, review of the related literature and with suggestions and guidance from the experts in the field of community health nursing, community medicine, Statistics and the tool was translated into Kannada language by investigators with the help of language expert.
RESULTS:
Table 1: Demographic characteristics of respondents Distribution of respondents by age and gender N=60
|
Characteristics |
Category |
Respondents |
|
|
Number |
Percent |
||
|
Age Group |
20-25 |
30 |
50% |
|
25-30 |
9 |
15% |
|
|
30-35 |
9 |
15% |
|
|
35-40 |
12 |
20% |
|
|
Gender |
Male |
25 |
41.7% |
|
Female |
35 |
58.3% |
|
|
Total |
|
60 |
100 |
Table 1 gives a description of classification of respondents by age and gender. Out of 60 respondents 50% (30) of the respondents are in the age of 20-25 years, 15% (9) of the respondents are in between the age of 25-30 years where as 15% (9) of the respondents are in between the age of 30-35 years., 20% (12) of the respondents are in between the age of 35-40years. Out of 60 respondents 58.3% (35) of the respondents were females as compared to 41.7% (25) of male’s respondents.
Table 2: Distribution of respondents by educational and occupational status N=60
|
Characteristics |
Category |
Respondents |
|
|
Number |
Percent |
||
|
Educational status |
Non Formal |
3 |
5% |
|
Primary Education |
9 |
15% |
|
|
SSLC |
26 |
43.3% |
|
|
PUC |
15 |
25% |
|
|
Graduation and above |
6 |
10% |
|
|
Others |
1 |
1.7% |
|
|
Occupational status |
Agriculture |
7 |
11.7% |
|
Government |
3 |
5% |
|
|
Private |
15 |
25% |
|
|
Others |
35 |
58.3% |
|
|
Total |
|
60 |
100 |
Table 2 shows classification of respondents by educational status and occupation. Out of 60 respondents 25% (15) of the respondents have studied up to PUC, 15% (9) up to primary school, 5% (3) up to nonformal education. 10.0% (6) were graduated and 43.3% (26) of the respondent had high school education, 1.7% (1) of the respondents had other type of education (Diploma, ITI)
Table 3: Classification of respondents by marital status, type of family and income N=60
|
Characteristics |
Category |
Respondents |
|
|
Number |
Percent |
||
|
Marital status |
Unmarried |
19 |
31.7% |
|
Married |
41 |
68.3% |
|
|
Type of family |
Nuclear |
27 |
45% |
|
Joint |
23 |
38.3% |
|
|
Extended |
10 |
16.7% |
|
|
Family monthly income |
Below 1000 |
4 |
6.7% |
|
Rs.1001-3000 |
21 |
35% |
|
|
Rs.3001-5000 |
24 |
40% |
|
|
Above Rs.5001 |
11 |
18.3% |
|
|
Total |
|
60 |
100.0 |
Table 3 shows classification of respondents by marital status, type of family and family monthly income. Out of 60 respondents 68.3% (41) of the respondents’ were married and 31.7% (19) respondents were unmarried. Out of 60 respondents Majority 45% (27) of the respondents were from nuclear family followed by 38.3% (23) were from joint family and 16.7% (10) were from extended family. Further out of 60 respondents majority 40% (24) of the respondents had family monthly income of Rs. 3001-5000, 35% (21) had family income between Rs. 1001-3000,18.3% (11) had family income above 5000 and 6.7% (4) had family income below 1000.
Table: 4 Classification of Respondents by overall knowledge level about selected mosquito borne disease and its prevention N=60
|
Knowledge Level |
Category |
Respondents |
|
|
Number |
Percent (%) |
||
|
Adequate |
0-14 |
6 |
10 |
|
Moderate |
15-28 |
53 |
88.3 |
|
Inadequate |
29-42 |
1 |
1.66 |
|
Total |
|
60 |
100 |
Table 4 depicts classification of respondents by knowledge level about selected mosquito borne disease and its prevention. It represents that out of 60 respondents 10% (6) of the respondents had adequate knowledge, 88.3% (53) of the respondents had moderate knowledge and 1.6% (1) of the respondents had inadequate knowledge about selected mosquito borne disease and its prevention
Table 5: Association between demographic variables and knowledge level about selected mosquito borne disease and its prevention Association between age group and knowledge level of respondents about selected mosquito borne disease and its prevention N=60
|
Age in Years |
Sample (N) |
Knowledge Level |
Χ2 Value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
20-25 |
30 |
3 |
10 |
26 |
86.6 |
1 |
3.33 |
12.59 |
|
25-30 |
9 |
1 |
11.1 |
8 |
88.8 |
0 |
0 |
|
|
30-35 |
9 |
1 |
11.1 |
8 |
88.8 |
0 |
0 |
|
|
35-40 |
12 |
1 |
8.33 |
11 |
91.6 |
0 |
0 |
|
|
Total |
60 |
6 |
|
53 |
|
1 |
|
|
NS- Not Significant at 5% level X 2 (0.05, 4df) = 1.081
The data presented in table indicates the association between age group and knowledge level of respondents on mosquito borne disease and its prevention. It shows that among 30 respondents in the age group of 20-25 years, 10% (3) had adequate knowledge level, 86.6% (26) respondent had moderate knowledge level and 3.33% (1) respondents had inadequate knowledge level. Further, among 9 respondents between the age group 25-30years, 11.1% (1) had adequate knowledge level, 88.6% (8) had moderate knowledge level and 0% (0) had inadequate knowledge level. And among 9 respondents with the age group 30-35 11.1% (1) had adequate knowledge level 88.8% (8) had moderate knowledge level and 0% (0) had inadequate knowledge level.and among the 12 respondants with the age group of 35-40 years 8.33% (1) had adequate knowledge level, 91.6% (11) had moderate knowledge level,and 0%(0) had inadequate knowledge level. Hence, the value of X2 is found to be significant at 5% level (X2 = 12.59*, P>0.05). It indicates that there is significant association between knowledge and the respondent’s age.
Table 7: Association between gender and knowledge level of respondents about selected mosquito borne disease and its prevention N=60
|
Gender |
Sample (N) |
Knowledge Level |
X2 value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
Male |
25 |
2 |
8 |
23 |
92 |
0 |
0 |
5.99 |
|
Female |
30 |
4 |
13.3 |
30 |
100 |
1 |
3.33 |
|
|
Total |
60 |
6 |
|
53 |
|
1 |
|
|
NS- Not Significant at 5% level X 2 (0.05, 2 df) = 0.951
Table 7 indicates the association between gender and knowledge level of respondents on global warming and its prevention.Among 25 male respondents 8% (2) respondents were found to be having adequate knowledge level, 92% (23) respondents possessed moderate knowledge level and 0% (0) respondents had inadequate knowledge and among 30 female respondents 13.3% (4) female respondents possessed adequate knowledge, 100% (30) respondents had moderate knowledge and 3.33% (1) respondents found to have inadequate knowledge. Hence, the value of X2 is found to be significant at 5% level (X2 = 0.25, P>0.05). It indicates that there is no significant association between knowledge and the respondent’s gender.
Table – 8: Association between educational status and knowledge level of respondents about selected mosquito borne disease and its Prevention N=60
|
Educational Status |
Sample (N) |
Knowledge Level |
X2 value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
Non formal |
3 |
0 |
0 |
3 |
100 |
0 |
0 |
18.31 |
|
Primary education |
9 |
1 |
13.1 |
7 |
77.7 |
1 |
11.1 |
|
|
SSLC |
26 |
1 |
3.84 |
25 |
96.1 |
0 |
0 |
|
|
PUC |
15 |
2 |
13.3 |
13 |
86.6 |
0 |
0 |
|
|
Graduation |
6 |
2 |
33.3 |
4 |
66.6 |
0 |
0 |
|
|
Others |
1 |
0 |
0 |
1 |
100 |
0 |
0 |
|
|
Total |
60 |
6 |
|
53 |
|
1 |
|
|
*Significant at 5% level X 2 (0.05, 10 df) = 11.174
Table – 8 depicts the association between education and knowledge level of respondents on Mosquito borne disease and its prevention. Among 3 respondents, 0% (0) of non formal education had adequate knowledge, 100% (3) had moderate knowledge and 0% (0) had inadequate knowledege. Among 9 respondents educated till primary school, 13.1% (1) had adequate knowledge level 77.7% (7) respondents had moderate knowledge level and11.1 % (1) had inadequate knowledge. Among 26 respondents with sslc qualification, 3.84% (1) had adequate knowledge level, 96.1% (25) had moderate knowledge level and 0% (0) had inadequate knowledge level. Among 15 respondents with PUC qualification, 13.3% (2) had adequate knowledge, 86.6% (13) had moderate knowledge. Further, 6 graduated respondents 33.3% (2) had adequate knowledge 66.6% (4) had moderate knowledge level and 0% (0) had inadequate knowledge and 1 respondants have the other education in that 0% (0) had adequate knowledge level and 100% (1) had moderate knowledge level and 0% (0) had inadequate knowledge level.Hence, the value of X2 is found to be significant at 5% level (X2 = 0.25, P>0.05). It indicates that there is significant association between knowledge and the respondent’s gender.
Table 9: Association between occupational status and knowledge level of respondents about selected mosquito borne disease and its prevention N=60
|
Occupational status |
Sample (N) |
Knowledge Level |
X 2 value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
Agriculture |
7 |
0 |
0 |
7 |
100 |
0 |
0 |
12.59 |
|
Government |
3 |
0 |
0 |
2 |
66.6 |
1 |
33.3 |
|
|
Private |
15 |
2 |
13.3 |
13 |
86.6 |
0 |
0 |
|
|
Others |
35 |
4 |
11.4 |
31 |
88.5 |
0 |
0 |
|
|
Total |
60 |
6 |
|
53 |
|
1 |
|
|
NS: Non-Significant at 5% level, X 2 (0.05, 10 df ) = 20.510
Table – 9 depicts the association between occupation and knowledge level of respondents about mosquito borne disease and its Prevention. Among 7 respondents with Agriculture occupation, 0% (0) had adequate knowledge, 100% (7) had moderate knowledge and 0% (0) had inadequate knowledge level. Among 3 respondents with Government occupation, 0% (0) had adequate knowledge, 66.6% (2) had moderate knowledge and 33.3% (1) had inadequate knowledge. Among 15 respondents with private job 13.3% (2) had adequate knowledge level, 86.6% (13) respondents had moderate knowledge level and 0% (0) and inadequate knowledege. Further, among 35 respondents with other jobs 11.4% (4) adequate knowledge level and 88.5% (31) had moderate knowledge level. and 0% (0) had inadequate knowledge level. Hence, the value of X2 is found to be non- significant at 5% level (X2 = 5.60NS, P>0.05). It indicates that there is no significant association between knowledge and the respondent’s income. (Fig 12)
Table 10. Association between marital status and knowledge level of respondents About selected mosquito borne disease and its prevention N=60
|
Marital Status |
Sample (N) |
Knowledge Level |
χ2 value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
Unmarried |
19 |
2 |
10.5 |
16 |
84.2 |
1 |
5.2 |
5.99 |
|
Married |
41 |
4 |
9.75 |
37 |
90.2 |
0 |
0 |
|
|
Total |
60 |
6 |
|
53 |
|
1 |
|
|
NS: Not Significant at 5% level X 2 (0.05, 2 df) = 2.219
Table 10 depicts Association between marital status and knowledge level of respondents abouty mosquito borne disease and its prevention. Among 19 unmarried respondents 10.5% (2) respondents were found to be having adequate knowledge level, 84.2% (16) of unmarried respondents possessed moderate knowledge level and 5.2% (1) of unmarried respondents possessed inadequate. Further among 41 married respondents 9.75% (4) respondents who possessed adequate knowledge while 90.2% (37) of married respondents found to have moderate knowledge and 0% (0) of married respondents possessed inadequate. Hence, the value of X2 is found to be significant at 5% level (X2 = 4.38* P>0.05). It indicates that there is significant association between knowledge and the respondent’s marital status.
Table 11. Association between type of family and knowledge level of respondents about mosquito borne disease and its prevention N=60
|
Type of Family |
Sample |
Knowledge Level |
X 2 value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
Nuclear |
27 |
5 |
18.5 |
21 |
77.7 |
1 |
3.70 |
9.49 |
|
Joint |
23 |
1 |
4.34 |
22 |
95.6 |
0 |
0 |
|
|
Extended |
10 |
0 |
0 |
10 |
100 |
0 |
0 |
|
|
Total |
60 |
6 |
|
53 |
|
17 |
|
|
NS: Non-Significant at 5% level, X 2 (0.05, 2 df ) = 5.550
Table – 11 shows Association between type of family and knowledge level of respondents about mosquito borne disease and its Prevention. Among 27 respondents from nuclear family 18.5% (5) had adequate knowledge level, 77.7% (21) had moderate knowledge level and 3.70% (1) had inadequate knowledge level. Further among 23 respondents from joint family 4.34% (1) had adequate knowledge level, 95.6% (22) had moderate knowledge level and 0% (0) had inadequate knowledge level. and 10 respondents from extended family 0% (0) had adequate knowledge level 100% (10) had moderate knowledge level and 0% (0) had inadequate knowledge level. Hence, the value of X2 is found to be - significant at 5% level (X2 = 0.168 NS, P>0.05).
Table – 12: Association between family monthly income and knowledge level of respondents about and its prevention N=60
|
Family monthly income |
Sample |
Knowledge Level |
X 2 value |
|||||
|
Adequate |
Moderate |
Inadequate |
||||||
|
N |
% |
N |
% |
N |
% |
|||
|
Below 1000 |
4 |
1 |
25 |
3 |
75 |
0 |
0 |
12.59 |
|
Rs.1001-3000 |
21 |
2 |
9.52 |
19 |
90.4 |
0 |
0 |
|
|
Rs3001-5000 |
24 |
2 |
8.33 |
22 |
91.6 |
0 |
0 |
|
|
Above 5001 |
11 |
1 |
9.09 |
9 |
81.8 |
1 |
9.09 |
|
|
Total |
60 |
6 |
|
53 |
|
1 |
|
|
NS- Not Significant at 5% level X 2 (0.05, 6 df) = 5.610
Table 12 shows the association between family monthly income and knowledge level of respondents about mosquito borne disease and its Prevention. It shows that among 4 respondents with family income below 1000. 25% (1) had adequate knowledge level while 75% (3) had moderate knowledge level and 0% (0) had inadequate knowledge level. among 21 respondents with family income between 1001- 3000 9.52% (2) had adequate knowledge level while 90.4% (19) had moderate knowledge level and 0% (0) had inadequate knowledge level, among 24 respondents with family income between 3001-5000, 8.33% (2) had adequate knowledge level while 91.6% (22) had moderate knowledge level and 0% (0) had inadequate knowledge level. Further, among 11 respondents with family income above 5000, 9.09% (1) respondents had adequate knowledge level and 81.8% (9) had moderate knowledge level and. 9.09% (1) had the inadequate knowledge level. Hence, the value of X2 is found to be significant at 5% level (X2 = 3.89* P>0.05). It indicates that there is significant association between knowledge and the respondent’s income.
CONCLUSION:
The focus of this study was to assess the knowledge on mosquito borne diseases and its prevention among the residents of Bengaluru. There is a need of the community involving the residents to involve to control the mosquito borne diseases.
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Received on 13.09.2022 Modified on 02.10.2022
Accepted on 20.10.2022 ©A&V Publications All right reserved
Asian J. Nursing Education and Research. 2022; 12(4):409-412.
DOI: 10.52711/2349-2996.2022.00087