Table 1. Analysis of blood cell counts of workers exposed to benzene in different benzene industries in Sichuan, Jiangsu, Zhejiang, and Fujian, 2020.
| Groups | Median CTWA (range) (mg/m3) | Number of workers | WBC | NEUT | RBC | HGB | PLT |
| Abbreviation: CTWA=concentrations of time weighted average; WBC=white blood cell; NEUT=neutrophil; RBC=erythrocytes; HGB=hemoglobin; PLT=platelet. * denotes P≤0.05 as tested by Mann-Whitney U when compared to the control group, ** denotes P≤0.001 as tested by Mann-Whitney U when compared to the control group. | |||||||
| Control | 0 | 526 | 6.6 (3.6–9.5) | 3.8 (1.9–6.3) | 4.9 (4.3–5.8) | 149 (130–175) | 208 (125–350) |
| Benzene | 0.6 (0.1–84.8) | 2,530 | 6.3 (3.0–9.7)* | 3.7 (1.3–7.2)* | 4.8 (3.4–6.3)** | 146 (89–187)** | 226 (52–357)** |
| General and special equipment manufacturing | 2.0 (0.2–4.0) | 320 | 6.3 (3.4–9.7)* | 3.6 (1.5–6.9)* | 4.9 (3.5–6.1) | 148 (92–187) | 221 (73–352)* |
| Computer, communications and other electronic equipment manufacturing | 2.0 (0.6–2.0) | 98 | 7.2 (4.0–9.6)** | 3.9 (1.9–5.9) | 4.8 (3.7–5.8)* | 147 (90–181)* | 228 (131–335)** |
| Chemical raw materials and chemical products manufacturing | 1.4 (0.1–8.0) | 148 | 5.8 (3.6–9.7)** | 3.1 (1.6–5.7)** | 4.9 (3.9–6.1) | 150 (91–185) | 202 (98–348)* |
| Printing and recording media reproduction | 0.7 (0.6–84.8) | 189 | 6.5 (3.4–9.5) | 3.6 (1.8–6.8) | 5.1 (4.0–6.2)** | 152 (90–181)* | 221 (102–344)* |
| Metal product manufacturing | 0.6 (0.2–1.5) | 34 | 6.1 (3.9–9.4) | 3.8 (1.9–7.0) | 4.8 (3.6–5.7) | 148 (90–172) | 222 (85–340) |
| Non-ferrous metal smelting and rolling processing industry | 0.6 (0.1–0.6) | 37 | 6.1 (4.2–9.1) | 4.1 (2.1–4.8) | 5.1 (4.0–5.8)* | 150 (121–173) | 226 (150–337)** |
| Rubber and plastic products industry | 0.6 (0.6–0.6) | 118 | 6.2 (3.0–9.4) | 3.7 (1.5–6.3) | 5.2 (4.0–5.8)** | 160 (123–175)** | 231 (120–329)** |
| Railway, ship, aerospace and other transportation equipment manufacturing | 0.6 (0.6–0.6) | 50 | 6.2 (3.5–9.5) | 3.5 (2.0–6.1)* | 4.8 (3.7–5.8)* | 142 (100–173)* | 236 (81–342)* |
| Automobile manufacturing | 0.6 (0.1–1.4) | 60 | 6.2 (3.7–9.4) | 3.9 (1.9–5.7) | 5.0 (4.0–6.2) | 152 (115–183) | 212 (121–356) |
| Retailing | 0.6 (0.1–2.1) | 17 | 5.9 (3.8–8.7) | 2.9 (1.7–4.7)* | 5.1 (4.6–5.9) | 150 (133–175) | 243 (143–346)* |
| Motor vehicle, electronic products and daily products repair industry | 0.6 (0.1–80.7) | 24 | 6.5 (4.4–9.2) | 3.5 (2.0–5.5) | 5.3 (4.3–6.0)** | 159 (135–174)** | 251 (145–329)** |
| Wholesale of petroleum and petroleum products | 0.6 (0.6–0.6) | 409 | 6.5 (3.1–9.6) | 3.8 (1.7–7.2) | 4.7 (3.5–6.3)** | 140 (89–182)** | 239 (76–357)** |
| Leather, fur, feather and their products and shoemaking | 0.5 (0.1–2.6) | 311 | 6.5 (3.8–9.7) | 3.7 (1.8–6.2) | 4.4 (3.4–6.0)** | 135 (90–173)** | 215 (101–356) |
| Culture and education, arts and crafts, sports, and entertainment products manufacturing | 0.1 (0.1–0.9) | 141 | 6.5 (3.2–9.5) | 3.8 (1.7–6.3) | 4.6 (3.5–5.7)** | 136 (91–173)** | 199 (52–349)* |
| Wood processing and wood, bamboo, rattan, palm, and grass products | 0.1 (0.1–73.9) | 289 | 6.1 (3.0–9.5)** | 3.4 (1.3–6.1)** | 4.9 (3.6–5.9) | 149 (96–176) | 233 (108–346)** |
| Furniture manufacturing | 0.1 (0.1–15.5) | 243 | 6.2 (3.3–9.4)** | 3.6 (2.0–5.1) | 4.8 (3.6–5.8)** | 145 (92–175)** | 241 (70–354)** |
| Electrical machinery and equipment manufacturing | 0.1 (0.1–10.8) | 42 | 6.2 (3.6–9.3) | 3.2 (1.8–6.0) | 4.8 (4.0–5.7) | 147 (118–166) | 216 (99–341) |