| Literature DB >> 25436459 |
Jia Cao1, Minming Li1, Yu Wang2, Guangjun Yu2, Chonghuai Yan1.
Abstract
OBJECTIVE: To determine blood lead levels and to identify related risk factors among children in Shanghai; to explore the lead change trend of children after industrial transformation and to provide data for policy development to control environmental lead pollution in Shanghai.Entities:
Mesh:
Substances:
Year: 2014 PMID: 25436459 PMCID: PMC4249952 DOI: 10.1371/journal.pone.0113297
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
General characteristics.
| Characteristics | |
| Boy/Girl | 1186/1105 |
| Age (months) | |
| 0–11 | 9.6% (221) |
| 12–35 | 31% (710) |
| 36–72 | 59.4%(1360) |
| Jingan district | 17.2% (393) |
| Jiading district | 17.2% (394) |
| Chongming district | 18.8% (431) |
| Yangpu district | 12.6% (289) |
| Xuhui district | 16.9% (387) |
| Pudong district | 17.3% (397) |
Difference in lead level by gender (µg/L).
| Sex | Number | Arithmetic Mean | Geometric Mean | Median | Range |
| Boy | 1186 | 23.57 | 20.60 | 21 | 3–246 |
| Girl | 1105 | 21.2 | 18.41 | 18 | 3–89 |
| χ2 | 6.285 | ||||
| P | 0.002 | ||||
boys are higher than girls, p<0.001;
Difference in lead level by ages (µg/L).
| Ages | Number | Arithmetic Mean | Geometric Mean | Median | Range |
| 0–11 m | 221 | 19.32 | 16.38 | 17 | 3–59 |
| 12–35 m | 710 | 21.17 | 18.38 | 19 | 3–122 |
| 36–72 m | 1360 | 23.84 | 20.95 | 21 | 4–246 |
| χ2 | 35.06 | ||||
| P | 0.000 | ||||
the age of 1 to 3-year-old is higher than 0 to 1-year-old, p<0.001;
the age of 3 to 6-year-old is higher than 1 to 3-year-old, p<0.001.
Difference in lead level by districts (µg/L).
| Districts | Number | Geometric | Number | Geometric | p |
| 2013–2014 | Mean | 1997 | Mean | ||
| Jingan district | 289 | 21.32 | 441 | 85 | 0.000 |
| Jiading district | 431 | 23.54 | 369 | 86 | 0.000 |
| Chongming district | 394 | 24.41 | 413 | 74 | 0.000 |
| Yangpu district | 397 | 14.67 | 359 | 97 | 0.000 |
| Xuhui district | 387 | 15.03 | 387 | 78 | 0.000 |
| Pudong district | 393 | 21.37 | 0 | 0 | 0.000 |
the blood lead level of 1997 is higher than now, p<0.001;
Figure 1showed that the blood lead level of this survey was significantly lower than the blood lead level of 1997.
This survey showed that the Chongming district was the highest and Yangpu district was the lowest. 1997's survey showed that Yangpu district was the highest among all the five districts, and the Chongming district was the lowest.
Factors affecting blood lead levels (Logistic regression analysis).
| Factors | β | Wald χ2 | P | OR(95%Cl) |
| Eating popcorn | 3.89 | 16.08 | 0.000 | 47.87(7.23,317.01) |
| Zinc supplementation | −1.01 | 4.28 | 0.039 | 0.36(0.14,0.95) |
| Smoking by main caregivers | 1.23 | 4.75 | 0.029 | 3.43(1.13,10.40) |
| Small family workshop nearby | 1.60 | 8.45 | 0.004 | 4.95(1.68,14.55) |
| Caregivers' degree of education | 2.28 | 21.23 | 0.000 | 1.25(1.14,1.37) |
| Washing hands with soap before eating | 0.89 | 3.79 | 0.032 | 0.33(0.09,0.89) |
| Eating fried food | 0.79 | 5.32 | 0.001 | 1.24(1.08,1.54) |
| Family engaged in a lead related occupation | 1.56 | 6.25 | 0.017 | 1.25(1.202,3.63) |