| Literature DB >> 29169343 |
Ruixue Huang1, Huacheng Ning1, Carl R Baum2, Lei Chen3, Allen Hsiao4.
Abstract
BACKGROUND: This study evaluates the extent of village doctors' knowledge of lead poisoning in children in rural China and assesses the characteristics associated with possessing accurate knowledge.Entities:
Keywords: Children; China; Lead poisoning; Village doctors
Mesh:
Year: 2017 PMID: 29169343 PMCID: PMC5701361 DOI: 10.1186/s12889-017-4895-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Location of Fenghuang county in Hunan Province, China
What do you know? A Chinese lead knowledge test
| Questions | Rright key | right(%) | wrong(%) | don't know(%) |
|---|---|---|---|---|
| General knowledge | ||||
| 1. Lead poisoning can be prevented. The key is to keep children from coming in contact with lead | True | 23 | 23 | 54 |
| 2. No safe blood lead level in children has been identified. Lead exposure can affect nearly every system in the body, | True | 12 | 21 | 67 |
| 3. Lead exposure often occurs in children with no obvious symptoms | True | 66 | 23 | 11 |
| 4. Even low lead level in the body can affect a child’s IQ | True | 26 | 47 | 27 |
| 5. Lead smelters, a battery recycling plant and other industries such as paintingare likely to dismiss lead to environment | True | 88 | 12 | |
| 6. Children between the ages of 0 and 6 years old are the main victims of lead poisoning, | True | 38 | 18 | 44 |
| Exposure | ||||
| 7. Lead paint is only found in newer decorated houses than in older houses | True | 87 | 5 | 8 |
| 8. Using lead-containing glazed pottery for cooking in a short time would not increase the risk of lead poisoning in children | False | 20 | 76 | 4 |
| 9. Furniture refinishing frequently can increase a child’s exposure to lead | True | 88 | 2 | 10 |
| 10. Children who is usually putting their fingers into the month is easy to get lead poisoned | True | 67 | 8 | 25 |
| 11. One way for the lead-containing dust is coming from some industries associated with utility lead | True | 92 | 7 | 1 |
| 12. Parents who smoke in the house can increase the risk of lead poisoning in children | True | 32 | 23 | 45 |
| 13. Parents who work with lead at their jobs can bring lead home on their hair, shin and clothes | True | 38 | 43 | 19 |
| 14. Lead can be transferred to the fetus | True | 15 | 56 | 29 |
| 15. Lead can be transferred to the brain and damage the child’s ability to learn | True | 55 | 16 | 29 |
| 16. Some traditional popular prescription such as “hongdan”, “zhangdan”, and “huangdan” do not include lead and safety for children | False | 9 | 79 | 12 |
| 17. Environment contamination with lead is the most widespread source of lead exposure for rural children | True | 74 | 12 | 14 |
| 18. Using tin pots to cook or drink is another pathway for children to exposure lead | True | 44 | 24 | 32 |
| 19. Lead poisoning in children may produce some symptoms like hard to pay attention and learn, causing behavior problems and the growth and development slow down | True | 45 | 12 | 43 |
| 20. Toys and toy jewelry are also the risk factors for children exposure lead | True | 39 | 58 | 3 |
| 21. Soil and tape water are the risk factors for children exposure lead | True | 27 | 38 | 35 |
| Prevention measures | ||||
| 22. Teaching children washing their hands usually is good for preventing lead poisoning | True | 82 | 10 | 8 |
| 23. If boiling the tap water lead can be removed | False | 4 | 87 | 9 |
| 24. If the blood lead level is below 100μg/L, it doesn’t need to treat. Lead can leave the body as children grow up | False | 6 | 91 | 3 |
| Nutrition | ||||
| 25. A small amount of lead is healthy for body because it can stimulate the immune system | False | 12 | 85 | 3 |
| 26. Look for foods with calcium, iron, and vitamin D. these foods can help keep lead out of the body | True | 78 | 22 | 0 |
| 27. Fresh fruit is healthy for children avoiding lead poisoning | True | 79 | 21 | |
| 28. A diet with enough protein helps prevent lead poisoning in children | True | 81 | 6 | 13 |
Socio-demographic characteristics of the village doctors
| Socio-demographic characteristics | Number (n) | Percentage (%) |
|---|---|---|
| Gender | ||
| Male | 206 | 71.7 |
| Female | 81 | 28.3 |
| Age(year) | ||
| ≤ 35 | 37 | 12.8 |
| 36–49 | 54 | 18.8 |
| ≥ 50 | 196 | 68.4 |
| Education level | ||
| Junior and high school | 76 | 26.4 |
| Junior college | 167 | 58.1 |
| Undergraduate | 44 | 15.5 |
| Annual income(RMB yuan) | ||
| ≤ 10,000 | 89 | 31 |
| 10,001–15,000 | 149 | 51.9 |
| ≥ 15,001 | 49 | 17.1 |
| ethnicity | ||
| Han | 26 | 9 |
| Tujia | 109 | 37.9 |
| Miao | 152 | 53.1 |
| Marital status | ||
| Married | 207 | 72.1 |
| Single | 68 | 23.6 |
| Widowed | 12 | 4.3 |
| Village doctors work experience | ||
| < 2 years | 23 | 8 |
| 2–10 years | 185 | 64.4 |
| > 10 years | 79 | 27.6 |
One-way ANOVA of “What do you know?” test scores
| Independent variable | Difference | 95% confidence limits |
|
|---|---|---|---|
| Age (years) | |||
| ≤ 35 vs. 36–49 | 0.28 | (−0.36, 0.95) | 0.16 |
| 36–49 vs. ≥ 50 | 0.47 | (−1.43, 2.2) | 0.55 |
| Sex | |||
| Male vs. female | 1.7 | (−0.5,4.1) | 0.23 |
| Education | |||
| Junior college vs. undergraduate | −2.7 | (−4.4, −0.2) | 0.033a |
| Annual income (RMB yuan) | |||
| ≤ 10,000 vs. 10,001–15,000 | −1.03 | (−1.7, −2.2) | 0.048a |
| 10,001–15,000 vs. > 15,001 | 0.37 | (−0.16, 0.5) | 0.29 |
| Ethnicity | |||
| Han vs. Tujia | 1.12 | (−0.7,-3.4) | 0.027a |
| Tujia vs. Miao | 1.08 | (−0.7,2.4) | 0.67 |
| Marital status | |||
| Married vs. single | 0.09 | (−2.7,-1.1) | 0.32 |
aindicates significance at the .05 level