| Literature DB >> 19580646 |
Abstract
BACKGROUND: In Great Britain (GB), data collected on pesticide associated illness focuses on acute episodes such as poisonings caused by misuse or abuse. This study aimed to investigate the extent and nature of pesticide-related illness presented and diagnosed in Primary Care and the feasibility of establishing a routine monitoring system.Entities:
Mesh:
Substances:
Year: 2009 PMID: 19580646 PMCID: PMC2718882 DOI: 10.1186/1471-2458-9-219
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Locations of the participating General Practices Locations of the participating General Practices.
General Practitioner's opinion on likelihood of symptoms being related to pesticides
| 0 | 0 | 0 | 0 | 1 | ||
| 2 | 4 | 6 | 1 | 13 | ||
| 10 | 11 | 3 | 0 | 24 | ||
| 1 | 3 | 0 | 0 | 4 | ||
| 13 | 18 | 9 | 1 | 42 | ||
| 0 | 0 | 0 | 0 | 14490 | ||
| 5 | 528 | 13451 | 20207 | 34191 | ||
| 2 | 972 | 4165 | 4020 | 9159 | ||
| 0 | 81 | 932 | 425 | 1438 | ||
| 7 | 1581 | 18548 | 24652 | 59278 | ||
| 20 | 1599 | 18557 | 24653 | 59320 | ||
Pest control chemical use at home
| 131 | 23.9 | 74 | 56.5 | |
| 60 | 11.0 | 32 | 53.3 | |
| 89 | 16.3 | 47 | 52.8 | |
| 78 | 14.3 | 43 | 55.1 | |
| 80 | 14.6 | 57 | 71.3 | |
| 7 | 1.3 | 5 | 71.4 | |
| 48 | 8.8 | 30 | 62.5 | |
| 98 | 17.9 | 44 | 44.9 | |
| 17 | 3.1 | 11 | 64.7 | |
| 35 | 6.4 | 20 | 57.1 | |
| 12 | 2.2 | 9 | 75.0 | |
| 30 | 5.5 | 16 | 53.3 | |
| 149 | 27.2 | 81 | 54.4 | |
| 57 | 10.4 | 42 | 73.7 | |
| 2 | 0.4 | 2 | 100.0 | |
| 15 | 2.7 | 7 | 46.7 | |
| 55 | 10.1 | 22 | 40.0 | |
| 22 | 4.0 | 15 | 68.2 | |
Univariable logistic regression models for the likelihood of being categorised by the GP as having symptoms possibly related to pesticide exposure
| Occupational pesticide use versus no use | 6 | 1.17 (0.62, 2.20) | |
| Home pesticide use versus no use | 41 | 1.83 (1.49, 2.26) | |
| Age (one year increase) | - | 0.99 (0.985, 0.997) | |
| Male versus female | 42 | 1.0 (0.81, 1.24) | |
| Proximity of farmland | 100 m-1 km vs < 100 m | 29 | 0.65 (0.45, 0.93) |
| > 1 km vs < 100 m | 40 | 1.79 (0.55, 5.83) | |
| Don't know vs < 100 m | 2 | 0.59 (0.26, 1.36) | |
| Proximity of chemical plant | 100 m-1 km vs < 100 m | 2 | 0.91 (0.19, 4.32) |
| > 1 km vs < 100 m | 62 | 1.23 (0.25, 6.05) | |
| Don't know vs < 100 m | 35 | 0.69 (0.19, 2.49) | |
| Proximity of landfill site | 100 m-1 km vs < 100 m | 3 | 2.92 (0.81, 10.49) |
| > 1 km vs < 100 m | 80 | 1.84 (0.39, 8.68) | |
| Don't know vs < 100 m | 16 | 1.38 (0.30, 6.35) | |
| Proximity of heavy traffic | 100 m-1 km vs < 100 m | 37 | 0.93 (0.66, 1.31) |
| > 1 km vs < 100 m | 39 | 0.80 (0.46, 1.37) | |
| Don't know vs < 100 m | 1 | 0.53 (0.12, 2.23) | |
| Proximity of railway | 100 m-1 km vs < 100 m | 30 | 0.96 (0.65, 1.43) |
| > 1 km vs < 100 m | 58 | 1.41 (0.70, 2.84) | |
| Don't know vs < 100 m | 4 | 0.84 (0.27, 2.63) | |
| Area of living | Surburban versus urban | 37 | 0.29 (0.08, 1.02) |
| Rural versus urban | 39 | 0.29 (0.07, 1.1) | |
| Change in use of Laundry detergent | 9 | 1.60 (0.93, 2.76) | |
| Change in use of Disinfectant/bleach | 8 | 1.26 (0.81, 1.95) | |
| Change in use of Cleaning agent | 8 | 1.43 (0.88, 2.34) | |
| Change in use of White spirit | 9 | 1.60 (1.06, 2.41) | |
| Change in use of Polish/varnish | 6 | 1.83 (0.92, 3.66) | |
| Change in use of Air freshener | 10 | 1.25 (0.89, 1.77) | |
| Change in use of Paint | 11 | 1.74 (1.19, 2.54) | |
| Change in use of Toiletries | 7 | 1.85 (1.22, 2.80) | |
| Change in use of Stain remover | 4 | 1.36 (0.63, 2.91) | |
| Change in use of Furniture renovator | 4 | 1.86 (1.19, 2.93) | |
| Change in use of Oil/grease | 3 | 1.12 (0.49, 2.57) | |
| Change in use of Insulation material | 5 | 1.06 (0.64, 1.74) | |
Multivariable logistic regression model for the likelihood of being categorised by the GP as having symptoms possibly related to pesticide exposure
| Occupational pesticide use versus no use | 0.99 (0.53, 1.88) |
| Home pesticide use versus no use | 1.88 (1.51, 2.35) |
| Age (1 year increase) | 0.99 (0.99, 1.00) |
| Male versus female | 1.02 (0.81, 1.28) |