| Literature DB >> 29941882 |
Chao Zhang1, Yiduo Sun2, Ruifa Hu3, Jikun Huang4, Xusheng Huang5, Yifan Li6, Yanhong Yin5, Zhaohui Chen5.
Abstract
Evidence on the adverse effects of agricultural pesticide use by farmers under the actual field conditions on their peripheral nerve conduction in China is limited. This study was to investigate the association of agricultural pesticide use with the abnormalities of farmers' peripheral nerve conduction based on two rounds of conventional nerve conduction studies. The level of pesticide exposure was assessed by measuring total amount of pesticides used by farmers in 2012. The logistic and negative binomial regression analyses were performed on a cohort study of 218 farmers. Results show that agricultural use of neither glyphosate nor non-glyphosate herbicides was not found to induce the abnormalities of farmers' peripheral nerve conduction. However, agricultural use of organophosphorus compounds was significantly associated with increased risk of demylination disease of peripheral nerve conduction described by the reduced velocity. Moreover, the use of organonitrogen compounds by farmers would not only increase risk of demylination disease but axonal damages described by the reduced amplitude. By contrast, agricultural uses of organosulfur and pyrethroid compounds would not induce the abnormalities of farmers' peripheral nerve conduction. The findings demonstrated the importance of developing health-friendly pesticides to replace organophosphorus and organonitrogen insecticides and fungicides in China.Entities:
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Year: 2018 PMID: 29941882 PMCID: PMC6018562 DOI: 10.1038/s41598-018-27713-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Description of farmers’ demographic and lifestyle characteristics.
| Characteristics | Mean | Standard deviation | Number of farmers | Percentage (%) |
|---|---|---|---|---|
| Age (year) | 51.6 | 10.1 | ||
| <50 | 41.7 | 5.9 | 90 | 41.3 |
| 50–65 | 57.1 | 4.1 | 111 | 50.9 |
| >65 | 68.6 | 1.7 | 17 | 7.8 |
| Gender | ||||
| Male | 161 | 73.9 | ||
| Female | 57 | 26.1 | ||
| Body mass index (BMI) (kg m−2) | 23.4 | 3.4 | ||
| <18 | 17.5 | 0.3 | 8 | 3.7 |
| 18–25 | 21.9 | 1.7 | 146 | 67.0 |
| >25 | 27.7 | 2.2 | 64 | 29.4 |
| Smoking habit | ||||
| Yes | 104 | 47.7 | ||
| No | 114 | 52.3 | ||
| Alcohol consumption | ||||
| Yes | 94 | 43.1 | ||
| No | 124 | 56.9 | ||
| Adoption of protective measures | ||||
| Yes | 27 | 12.4 | ||
| No | 191 | 87.6 | ||
| Diabetes mellitus | ||||
| Yes | 14 | 6.4 | ||
| No | 204 | 93.6 | ||
The number of the sampled farmers is 218.
Figure 1Summary of agricultural use of each class of pesticides by the sampled farmers. Figures before and after the semicolon are the average amount and percentage of each class of pesticides in the total used pesticides, respectively. The number of the sampled farmers is 218.
Figure 2Number of the abnormal parameters of farmers’ peripheral nerve conduction by group. CV, MCV, SCV, DML, AP, CMAP, and SNAP denote the nerve conduction velocity, motor conduction velocity, sensory conduction velocity, distal motor latency, amplitude of the action potential, amplitude of the compound muscle action potential and amplitude of the sensory nerve action potential, respectively.
Adjusted odds ratios (ORs) for the abnormalities of peripheral nerve conduction associated with agricultural pesticide use.
| Nerve conduction velocity | Distal motor latency | Amplitude | |||
|---|---|---|---|---|---|
| Overall | Motor | Sensory | |||
| Herbicides | |||||
| Glyphosate | 0.70 | 1.34 | 0.64 | 1.05 | 1.21 |
| (0.38, 1.30) | (0.30, 6.03) | (0.35, 1.18) | (0.81, 1.37) | (0.75, 1.97) | |
| Non-glyphosate | 0.84 | 1.46 | 0.84 | 1.08 | 1.21 |
| (0.62, 1.12) | (0.69, 3.09) | (0.62, 1.14) | (0.90, 1.30) | (0.81, 1.82) | |
| Insecticides & fungicides | |||||
| Organophosphorus | 1.51** | 1.76** | 1.43** | 1.00 | 0.95 |
| (1.21, 1.88) | (1.24, 2.50) | (1.14, 1.79) | (0.89, 1.11) | (0.70, 1.28) | |
| Organonitrogen | 2.03** | 1.20 | 2.21** | 1.15 | 1.48* |
| (1.29, 3.19) | (0.49, 2.92) | (1.41, 3.48) | (0.92, 1.42) | (1.03, 2.12) | |
| Organosulfur | 0.49 | 1.69 | 0.48 | 0.92 | 0.96 |
| (0.16, 1.51) | (0.64, 4.47) | (0.17, 1.38) | (0.66, 1.28) | (0.25, 3.61) | |
| Pyrethroid | 0.14 | 0.02 | 3.57 | 1.47 | 2.66 |
| (0.00, 29.43) | (0.00, 448.25) | (0.06, 205.04) | (0.28, 7.77) | (0.02, 309.15) | |
| Other | 1.74 | 1.68 | 1.53 | 0.80 | 0.80 |
| (1.00, 3.03) | (0.72, 3.90) | (0.99, 2.35) | (0.54, 1.19) | (0.28, 2.30) | |
| Pseudo | 0.67 | 0.83 | 0.57 | 0.11 | 0.64 |
| Log Likelihood | −105.38 | −77.65 | −83.58 | −135.30 | −66.83 |
| Number of observations | 218 | 218 | 218 | 218 | 218 |
Logistic regression analyses were used to estimate the adjusted ORs. Figures in the parentheses are 95% confidence interval (CI). **p < 0.01, and *p < 0.05. Please see Table S2 for details.
Adjusted incidence rate ratios (IRRs) for the abnormalities of peripheral nerve conduction associated with agricultural pesticide use.
| Nerve conduction velocity | Distal motor latency | Amplitude | |||||
|---|---|---|---|---|---|---|---|
| Overall | Motor | Sensory | Overall | Motor | Sensory | ||
| Herbicides | |||||||
| Glyphosate | 0.86 | 1.11 | 0.74 | 1.02 | 0.96 | 1.25 | 1.04 |
| (0.67, 1.10) | (0.81, 1.53) | (0.52, 1.06) | (0.85, 1.22) | (0.65, 1.43) | (0.67, 2.34) | (0.49, 2.19) | |
| Non-glyphosate | 0.96 | 0.91 | 1.01 | 1.04 | 1.13 | 0.32 | 1.26 |
| (0.85, 1.08) | (0.76, 1.11) | (0.86, 1.18) | (0.92, 1.17) | (0.86, 1.49) | (0.02, 4.51) | (0.94, 1.69) | |
| Insecticides & fungicides | |||||||
| Organophosphorus | 1.15** | 1.22** | 1.11 | 0.99 | 1.05 | 1.08 | 0.92 |
| (1.07, 1.23) | (1.09, 1.38) | (1.00, 1.23) | (0.92, 1.08) | (0.91, 1.20) | (0.85, 1.38) | (0.65, 1.30) | |
| Organonitrogen | 1.17* | 0.83 | 1.26* | 1.03 | 1.36* | 1.00 | 1.38 |
| (1.01, 1.36) | (0.58, 1.18) | (1.05, 1.52) | (0.92, 1.16) | (1.05, 1.75) | (0.53, 1.86) | (0.93, 2.06) | |
| Organosulfur | 0.99 | 1.28 | 1.04 | 0.98 | 0.67 | 0.95 | 1.12 |
| (0.71, 1.37) | (0.92, 1.80) | (0.67, 1.60) | (0.78, 1.23) | (0.35, 1.25) | (0.34, 2.66) | (0.26, 4.75) | |
| Pyrethroid | 0.91 | 0.16 | 1.93 | 1.28 | 2.75 | 0.68 | 3.32 |
| (0.13, 6.30) | (0.00, 8.38) | (0.16, 22.75) | (0.37, 4.37) | (0.09, 82.63) | (0.00, 450.89) | (0.01, 811.65) | |
| Other | 1.16 | 1.12 | 1.22 | 0.97 | 0.96 | 0.85 | 0.94 |
| (0.95, 1.42) | (0.85, 1.50) | (0.89, 1.69) | (0.76, 1.24) | (0.45, 2.06) | (0.14, 5.17) | (0.22, 3.98) | |
| Pseudo | 0.40 | 0.57 | 0.35 | −165.50 | 0.51 | 0.63 | 0.58 |
| Log Likelihood | −144.37 | −92.93 | −90.89 | 218 | −89.52 | −62.74 | −43.95 |
| Number of observations | 218 | 218 | 218 | 218 | 218 | 218 | |
Negative binomial regression analyses were used to estimate the adjusted IRRs. Figures in the parentheses are 95% confidence interval (CI). **p < 0.01, and *p < 0.05. Please see Table S3 for details.