| Literature DB >> 24740029 |
Ying Li1, Siqi Wu2, Yun Xiang1, Xiaohui Liang2.
Abstract
OBJECTIVE: Blood lead levels (BLLs) and possible influencing factors in children in Wuhan China were investigated in order to understand current lead pollution exposure and provide a scientific basis for prevention and policy making.Entities:
Mesh:
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Year: 2014 PMID: 24740029 PMCID: PMC3989303 DOI: 10.1371/journal.pone.0095284
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics and comparison of BLLs.
| Number | Frequency (%) | BLLs (µg/L) | P-value | ||||
| GM (95%CI) | Median | Min | Max | ||||
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| 15536 | 100% | 44.75 (44.46 – 45.05) | 47 | 3 | 538 | |
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| 10006 | 64.4% | 46.10 (45.73 – 46.49) | 48 | 4 | 519 | |
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| 5530 | 35.6% | 42.41 (41.95 – 42.88) | 45 | 3 | 538 | |
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| 8493 | 54.7% | 41.85 (41.46 – 42.25) | 44 | 3 | 538 | a |
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| 4403 | 28.3% | 48.32 (47.77 – 48.88) | 51 | 5 | 398 | a |
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| 2164 | 13.9% | 49.29 (48.54 – 50.06) | 51 | 6 | 324 | a |
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| 476 | 3.1% | 47.11 (45.49 – 48.80) | 49 | 8 | 155 | c |
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| 3905 | 25.1% | 42.54 (41.95 – 43.15) | 45 | 5 | 279 | f |
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| 5360 | 34.5% | 48.65 (48.16 – 49.14) | 50 | 5 | 538 | f |
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| 3970 | 25.6% | 43.17 (42.64 – 43.71) | 45 | 4 | 519 | f |
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| 2301 | 14.8% | 42.75 (41.94 – 43.57) | 45 | 3 | 311 | |
There were 15,536 out-patients in this study. Based on sex, age and date of measuring BLLs, they were divided into different sub-groups. Student's t-test and ANOVA were used to compare BLLs among different subgroups. There was significant difference in all the sub-groups in statistics (p<0.001).
Figure 1Distribution of blood lead levels among the out-patients in Wuhan.
The horizontal axis represents the BLL values, and the vertical axis represents its frequency. Most of Children had BLLs below 100 µg/L, and only 310 children had BLLs higher than 100 µg/L.
High BLL rate at two cut-off points (50 µg/L and 100 µg/L) based on different factors.
| Groups | >50 µg/L | OR | 95%CI | p value | >100 µg/L | OR | 95%CI | p value | ||
| n | Rate(%) | n | Rate (%) | |||||||
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| Boys | 4699 | 47.0% | 1 | 239 | 2.4% | 1 | ||||
| Girls | 2131 | 38.5% | 0.75 | 0.70–0.80 |
| 71 | 1.3% | 0. 54 | 0.41–0.70 |
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| 0–3 | 3157 | 37.2% | 1 | 155 | 1.8% | 1 | ||||
| 4–7 | 2305 | 52.4% | 1.81 | 1.68–1.95 |
| 107 | 2.4% | 1.28 | 0.99–1.64 | p = 0.06 |
| 8–11 | 1135 | 52.4% | 1.72 | 1.56–1.90 |
| 41 | 1.9% | 0.95 | 0.67–1.34 | p = 0.76 |
| 12–18 | 233 | 48.9% | 1.47 | 1.21–1.77 |
| 7 | 1.5% | 0.72 | 0.33–1.54 | p = 0.40 |
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| Spring | 1497 | 38.3% | 1 | 87 | 2.2% | 1 | ||||
| Summer | 2829 | 52.8% | 1.71 | 1.58–1.87 |
| 122 | 2.3% | 1.01 | 0.76–1.33 | p = 0.93 |
| Autumn | 1593 | 40.1% | 1.06 | 0.97–1.17 |
| 54 | 1.4% | 0.60 | 0.43–0.85 |
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| Winter | 911 | 39.6% | 1.00 | 0.90–1.11 |
| 47 | 2.0% | 0.92 | 0.64–1.31 | p = 0.64 |
Chi-square analysis and logistic regression were used to compare BLL rate in subgroups. Odds ratios (OR), 95% confidence intervals (CI) and p-value were adjusted for potential confounding factors including age, sex and season. The first subgroup (boy group, 0–3 year group and Spring group) for each confounding factor was taken as control, and significant differences (p<0.001) were observed in some groups especially for the category >50 µg/L.