| Literature DB >> 25250847 |
Xiaobo Liu1, Fangjun Wan2, Li Bai3, Lin Zhou4, Yuhong Guo5, Junfang Xu6, Shaowei Sang7, Xiaolu Li8, Shaohua Gu9, Haixia Wu10, Jun Wang11, Qiyong Liu12.
Abstract
Since 2009, great public attention has been paid in Lhasa City (Tibet, China) to mosquito bites and accompanying inflammatory complications. However, the potential contribution of knowledge levels, experiences, disease control and preventive practices (KEP) towards mosquitoes has not received much attention. To investigate community KEP concerning mosquitoes in Lhasa, a cross-sectional survey was undertaken in four sub-districts of urban Lhasa in 2012. Questionnaires were designed to collect information regarding socio-demographics and KEP concerning the harmful effects of mosquitoes on participants. The scoring for KEP was developed after consultation of literature. A total of 591 eligible questionnaires were examined. The majority of respondents were female (61.8%) with a mean age of 46 years. Nearly all of the respondents were of Tibetan nationality (97.4%) and living in registered native households (92.7%), who have less than primary school education. The averages of overall score, knowledge score, experience score, and practice score were 9.23, 4.53, 1.80, 2.90, respectively. The registered household with the highest overall score, knowledge score and practice score was non-native. Female subjects with monthly incomes between 1000 and 3000 RMB had higher experience scores. The correlation analysis revealed that significant positive linear correlations existed between knowledge and experience, knowledge and practices, and experience and practices towards mosquitoes. Past experiences with mosquitoes can result in a better knowledge of effective mosquito control practices in the present and the future. Though the average of overall scores related to mosquitoes is high among the participants in Lhasa, however, the knowledge about the ecological habits of mosquitoes should be strengthened. The findings in this study may help to develop strategies and measures of mosquito and mosquito-borne diseases in the future, not only in Lhasa, but also in similar altitude, latitude and longitude regions worldwide.Entities:
Mesh:
Year: 2014 PMID: 25250847 PMCID: PMC4199058 DOI: 10.3390/ijerph110909919
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The four urban sub-districts of this study.
Socio-Demographic characteristics of the study participants (N = 591) in urban Lhasa City, 2012.
| Variables | Category | Number of Interviewees | Proportion within Each Category (%) |
|---|---|---|---|
| Study sites | Gongdelin | 148 | 25.0 |
| Gamagongsang | 153 | 25.9 | |
| Zhaxi | 125 | 21.2 | |
| Bakuo | 165 | 27.9 | |
| Gender | Male | 226 | 38.2 |
| Female | 365 | 61.8 | |
| Ethnic group | Tibetan | 575 | 97.4 |
| Hui | 2 | 0.3 | |
| Han | 12 | 2.0 | |
| Others | 2 | 0.3 | |
| Register household | Native | 548 | 92.7 |
| Non-native | 43 | 7.3 | |
| Age (y) | 18~ | 90 | 15.3 |
| 30~ | 151 | 25.5 | |
| 42~ | 149 | 25.2 | |
| 54~ | 126 | 21.3 | |
| 65~ | 75 | 12.7 | |
| Education | Illiteracy | 138 | 23.4 |
| Literacy class | 7 | 1.2 | |
| Primary school | 206 | 34.9 | |
| Middle school | 90 | 15.2 | |
| High school | 100 | 16.8 | |
| Junior college and above | 50 | 8.5 | |
| Monthly income ( | Less than 1000 | 266 | 45.0 |
| 1000~ | 167 | 28.3 | |
| 2000~ | 79 | 13.4 | |
| 3000~ | 35 | 5.9 | |
| 4000~ | 23 | 3.9 | |
| Higher than 5000 | 21 | 3.5 | |
| Occupation | Worker | 8 | 1.4 |
| Migrant laborer | 58 | 9.8 | |
| Peasant | 10 | 1.7 | |
| Student | 18 | 3.0 | |
| Cadre and office worker | 107 | 18.1 | |
| Chauffeur | 8 | 1.4 | |
| Teacher | 8 | 1.4 | |
| Medical personnel | 4 | 0.7 | |
| Retired employee | 72 | 12.2 | |
| Catering Service staff | 1 | 0.2 | |
| Self-Employed | 35 | 5.9 | |
| Homemaker | 23 | 3.9 | |
| Unemployed youth | 215 | 36.2 | |
| Unwilling to answer | 21 | 3.6 | |
| Other | 3 | 0.5 |
Responses to mosquito knowledge, experience and practice items.
| Items * | Variables | Category | Frequency (%) |
|---|---|---|---|
| Knowledge | Yes | 578 (97.8%) | |
| No | 13 (2.2%) | ||
| Yes | 427 (73.9%) | ||
| No | 151 (26.1%) | ||
| Yes | 234 (40.5%) | ||
| No | 344 (59.5%) | ||
| Yes | 415 (71.8%) | ||
| No | 163 (28.2%) | ||
| Yes | 450 (77.9%) | ||
| No | 128 (22.1%) | ||
| Yes | 514 (88.9%) | ||
| No | 64 (11.1%) | ||
| Experience | Yes | 546 (94.5%) | |
| No | 32 (5.5%) | ||
| Yes | 493 (85.3%) | ||
| No | 85 (14.7%) | ||
| Practice | Yes | 531 (91.9%) | |
| No | 47 (8.1%) | ||
| Yes | 446 (77.2%) | ||
| No | 132 (22.8%) | ||
| Yes | 507 (87.7%) | ||
| No | 71 (12.3%) | ||
| Yes | 193 (33.4%) | ||
| No | 385 (66.6%) |
* Knowledge, experience, and practices were assessed by giving 1 point to the correct answer and 0 point to the wrong answer.
Comparison of demographic characteristics and mean KEP scores.
| Variable | N (578 ) | Overall Score (M ± D) | Knowledge Score (M ± D) | Experience Score (M ± D) | Practice Score (M ± D) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Study sites | Gongdelin | 147 | 9.068 (1.777) | 0.123 | 4.41 (0.985) | 0.356 | 1.73 (0.568) | 0.169 | 2.93 (0.951) | 0.802 |
| Gamagongsang | 149 | 9.322 (1.713) | 4.52 (1.011) | 1.87 (0.445) | 2.94 (0.932) | |||||
| Zhaxi | 121 | 9.388 (1.614) | 4.64 (1.080) | 1.78 (0.524) | 2.98 (0.790) | |||||
| Bakuo | 161 | 9.167 (1.754) | 4.57 (0.980) | 1.81 (0.503) | 2.79 (0.977) | |||||
| Gender | Male | 218 | 9.262 (1.635) | 0.474 | 4.48 (1.048) | 0.459 | 1.78 (0.505) | 0.040 | 3.00 (0.880) | 0.108 |
| Female | 360 | 9.208 (1.773) | 4.56 (0.988) | 1.81 (0.517) | 2.84 (0.944) | |||||
| Nationality | Tibetan | 562 | 9.228 (1.736) | 0.619 | 4.54 (1.011) | 0.578 | 1.80 (0.511) | 0.919 | 2.89 (0.930) | 0.758 |
| Hui | 2 | 9.500 (0.707) | 4.50 (0.707) | 2.00 (0.000) | 3.00 (0.000) | |||||
| Han | 12 | 9.250 (1.288) | 4.33 (1.155) | 1.75 (0.622) | 3.17 (0.577) | |||||
| others | 2 | 9.000 (0.000) | 4.00 (0.000) | 1.50 (0.707) | 3.50 (0.707) | |||||
| Household register | Native | 540 | 9.228 (1.722) | 0.002 | 4.52 (1.002) | 0.046 | 1.81 (0.490) | 0.731 | 2.89 (0.929) | 0.021 |
| Non-native | 38 | 9.237 (1.731) | 4.68 (1.141) | 1.55 (0.724) | 3.00 (0.838) | |||||
| Age group (y) | 18~ | 88 | 9.386 (1.441) | 0.148 | 4.60 (0.989) | 0.728 | 1.87 (0.424) | 0.113 | 2.91 (0.879) | 0.390 |
| 30~ | 147 | 9.456 (1.627) | 4.64 (0.986) | 1.84 (0.454) | 2.98 (0.910) | |||||
| 42~ | 147 | 9.150 (1.741) | 4.52 (0.995) | 1.80 (0.548) | 2.83 (0.894) | |||||
| 54~ | 122 | 9.254 (1.770) | 4.57 (0.996) | 1.79 (0.502) | 2.90 (0.991) | |||||
| 65~ | 74 | 8.702 (1.991) | 4.18 (1.090) | 1.65 (0.629) | 2.88 (0.950) | |||||
| Education | Illiteracy | 130 | 9.085 (2.004) | 0.343 | 4.47 (1.136) | 0.940 | 1.78 (0.517) | 0.429 | 2.84 (0.963) | 0.512 |
| Literacy class | 7 | 9.143 (1.773) | 4.71 (1.113) | 1.86 (0.378) | 2.57 (0.787) | |||||
| Primary school | 203 | 9.123 (1.752) | 4.51 (0.982) | 1.77 (0.563) | 2.84 (0.977) | |||||
| Middle school | 89 | 9.202 (1.740) | 4.48 (1.035) | 1.80 (0.526) | 2.92 (0.956) | |||||
| High school | 99 | 9.586 (1.385) | 4.70 (0.974) | 1.84 (0.445) | 3.05 (0.761) | |||||
| Junior college and above | 50 | 9.380 (1.276) | 4.48 (0.789) | 1.88 (0.385) | 3.02 (0.820) | |||||
| Monthly income (RMB) | Less than 1000 | 260 | 9.135(1.875) | 0.083 | 4.51 (1.067) | 0.250 | 1.78 (0.541) | 0.009 | 2.84 (0.956) | 0.287 |
| 1000~ | 164 | 9.433 (1.551) | 4.68 (0.884) | 1.82 (0.495) | 2.93 (0.897) | |||||
| 2000~ | 79 | 9.215 (1.550) | 4.42 (1.057) | 1.85 (0.455) | 2.95 (0.830) | |||||
| 3000~ | 34 | 9.235 (1.372) | 4.29 (0.760) | 1.85 (1.359) | 3.09 (0.965) | |||||
| 4000~ | 22 | 8.546 (2.110) | 4.18 (1.296) | 1.50 (0.598) | 2.86 (1.125) | |||||
| High than 5000 | 19 | 9.579 (1.539) | 4.79 (0.918) | 1.79 (0.535) | 3.00 (0.745) | |||||
| Occupation | Labour | 8 | 9.500 (1.309) | 0.204 | 4.50 (1.195) | 0.383 | 1.75 (0.463) | 0.924 | 3.25 (0.463) | 0.217 |
| Migrant labourer | 57 | 9.263 (1.541) | 4.35 (1.009) | 1.82 (0.504) | 3.09 (0.892) | |||||
| Peasant | 10 | 8.700 (1.703) | 4.00 (1.333) | 2.00 (0.000) | 2.70 (1.160) | |||||
| Student | 18 | 9.611 (1.754) | 4.56 (1.338) | 1.89 (0.471) | 3.17 (0.786) | |||||
| Cadre and office | 106 | 9.528 (1.148) | 4.63 (0.797) | 1.86 (0.424) | 3.04 (0.780) | |||||
| Chauffeur | 7 | 9.143 (1.952) | 4.29 (1.113) | 2.00 (0.000) | 2.86 (0.900) | |||||
| Teacher | 8 | 9.875 (0.834) | 4.25 (0.463) | 2.00 (0.000) | 3.63 (0.518) | |||||
| Medical personnel | 4 | 10.250 (1.258) | 5.00 (0.816) | 1.75 (0.500) | 3.50 (0.577) | |||||
| Retired employee | 70 | 9.457 (1.390) | 4.61 (0.873) | 1.77 (0.456) | 3.07 (0.804) | |||||
| Catering | 1 | 8.000 (-) | 5.00 (-) | 0.00 (-) | 3.00 (-) | |||||
| Self-employed | 33 | 8.879 (2.497) | 4.45 (1.371) | 1.67 (0.645) | 2.76 (0.969) | |||||
| Homemaker | 21 | 9.048 (2.179) | 4.48 (1.030) | 1.67 (0.658) | 2.90 (0.995) | |||||
| Unemployed youth | 213 | 9.066 (1.922) | 4.55 (1.052) | 1.78 (0.552) | 2.73 (0.995) | |||||
| Unwilling to answer | 20 | 8.800 (1.735) | 4.50 (1.051) | 1.80 (0.523) | 2.50 (1.000) | |||||
| Others | 2 | 8.000 (1.414) | 4.00 (0.000) | 2.00 (0.000) | 2.00 (1.414) | |||||
| Total | 578 | 9.228 (1.721) | 4.53 (1.011) | 1.80 (0.512) | 2.90 (0.923) |
Correlation among knowledge, experience and practice scores.
| Variable | Correlation Coefficient | |
|---|---|---|
| Knowledge & Experience | ||
| Experience & Practice | ||
| Knowledge & Practice |
* Correlation significant at 0.01 level (2-tailed).