Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields
The risk for developing Parkinson’s disease (PD) is a combination of multiple environmental and genetic factors. The Negev (Southern Israel) contains approximately 252.5 km2 of agricultural cultivated fields (ACF). We aimed to estimate the prevalence and incidence of PD and to examine possible geogr...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Parkinson's Disease |
| Online Access: | http://dx.doi.org/10.1155/2015/576564 |
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| _version_ | 1832566879136251904 |
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| author | Maayan Yitshak Sade Yair Zlotnik Itai Kloog Victor Novack Chava Peretz Gal Ifergane |
| author_facet | Maayan Yitshak Sade Yair Zlotnik Itai Kloog Victor Novack Chava Peretz Gal Ifergane |
| author_sort | Maayan Yitshak Sade |
| collection | DOAJ |
| description | The risk for developing Parkinson’s disease (PD) is a combination of multiple environmental and genetic factors. The Negev (Southern Israel) contains approximately 252.5 km2 of agricultural cultivated fields (ACF). We aimed to estimate the prevalence and incidence of PD and to examine possible geographical clustering and associations with agricultural exposures. We screened all “Clalit” Health Services members in the Negev (70% of the population) between the years 2000 and 2012. Individual demographic, clinical, and medication prescription data were available. We used a refined medication tracer algorithm to identify PD patients. We used mixed Poisson models to calculate the smoothed standardized incidence rates (SIRs) for each locality. We identified ACF and calculate the size and distance of the fields from each locality. We identified 3,792 cases of PD. SIRs were higher than expected in Jewish rural localities (median SIR [95% CI]: 1.41 [1.28; 1.53] in 2001–2004, 1.62 [1.48; 1.76] in 2005–2008, and 1.57 [1.44; 1.80] in 2009–2012). Highest SIR was observed in localities located in proximity to large ACF (SIR 1.54, 95% CI 1.32; 1.79). In conclusion, in this population based study we found that PD SIRs were higher than expected in rural localities. Furthermore, it appears that proximity to ACF and the field size contribute to PD risk. |
| format | Article |
| id | doaj-art-1275368ab84742eebd8bd48933356031 |
| institution | Kabale University |
| issn | 2090-8083 2042-0080 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Parkinson's Disease |
| spelling | doaj-art-1275368ab84742eebd8bd489333560312025-02-03T01:02:46ZengWileyParkinson's Disease2090-80832042-00802015-01-01201510.1155/2015/576564576564Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated FieldsMaayan Yitshak Sade0Yair Zlotnik1Itai Kloog2Victor Novack3Chava Peretz4Gal Ifergane5Clinical Research Center, Soroka University Medical Center, 84101 Beer Sheva, IsraelFaculty of Health Sciences, Ben Gurion University, 84101 Beer Sheva, IsraelDepartment of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben Gurion University, 84101 Beer Sheva, IsraelClinical Research Center, Soroka University Medical Center, 84101 Beer Sheva, IsraelSackler Faculty of Medicine, School of Public Health, Department of Epidemiology, Tel Aviv University, 6997801 Tel Aviv, IsraelFaculty of Health Sciences, Ben Gurion University, 84101 Beer Sheva, IsraelThe risk for developing Parkinson’s disease (PD) is a combination of multiple environmental and genetic factors. The Negev (Southern Israel) contains approximately 252.5 km2 of agricultural cultivated fields (ACF). We aimed to estimate the prevalence and incidence of PD and to examine possible geographical clustering and associations with agricultural exposures. We screened all “Clalit” Health Services members in the Negev (70% of the population) between the years 2000 and 2012. Individual demographic, clinical, and medication prescription data were available. We used a refined medication tracer algorithm to identify PD patients. We used mixed Poisson models to calculate the smoothed standardized incidence rates (SIRs) for each locality. We identified ACF and calculate the size and distance of the fields from each locality. We identified 3,792 cases of PD. SIRs were higher than expected in Jewish rural localities (median SIR [95% CI]: 1.41 [1.28; 1.53] in 2001–2004, 1.62 [1.48; 1.76] in 2005–2008, and 1.57 [1.44; 1.80] in 2009–2012). Highest SIR was observed in localities located in proximity to large ACF (SIR 1.54, 95% CI 1.32; 1.79). In conclusion, in this population based study we found that PD SIRs were higher than expected in rural localities. Furthermore, it appears that proximity to ACF and the field size contribute to PD risk.http://dx.doi.org/10.1155/2015/576564 |
| spellingShingle | Maayan Yitshak Sade Yair Zlotnik Itai Kloog Victor Novack Chava Peretz Gal Ifergane Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields Parkinson's Disease |
| title | Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields |
| title_full | Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields |
| title_fullStr | Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields |
| title_full_unstemmed | Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields |
| title_short | Parkinson’s Disease Prevalence and Proximity to Agricultural Cultivated Fields |
| title_sort | parkinson s disease prevalence and proximity to agricultural cultivated fields |
| url | http://dx.doi.org/10.1155/2015/576564 |
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