Evidence map›Paper›PMID 29224186›Full record

ArticleEuropean journal of pediatrics2018

Secondhand smoke is associated with heavy metal concentrations in children.

Li Li, Li Guo, Xingjie Chen, Mingli Xiang, Fang Yang, Jing-Chao Ren, Guang-Hui Zhang

Abstract read
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In one paragraph

Article in European journal of pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Li LiThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China. yiodbc3188@163.com.
Li GuoThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Xingjie ChenThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Mingli XiangThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Fang YangThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Jing-Chao RenThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
Guang-Hui ZhangThe Department of Pediatrics, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 100 Kexue Road, Zhengzhou, 450001, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

Postdoctoral research funding project of Henan Province 2015012
6 · The paper itself

Abstract

Secondhand smoke (SHS) has adverse effects on health, particularly for children. Our purpose was to analyze the correlation between SHS exposure and heavy metal concentrations in children. The investigation was conducted in Xinxiang County, Henan Province, China, from August 2015 to December 2015. In total, 821 students (433 boys and 388 girls) were recruited, and the contents of heavy metals in their hair-including chromium, manganese, nickel, arsenic, lead, and cadmium-were detected by ICP-MS. The children's parents were informed, and a questionnaire was conducted, which included questions about smoking habits and demographic characteristics. Our results indicate that all parent smokers are fathers, 48.9% of fathers who are smokers, but 25.2% of fathers smoke in front of their children. The levels of chromium (median girls vs boys, μg/g) (2.36 vs 2.06, p < 0.001), nickel (1.28 vs 0.97, p < 0.001), arsenic (0.55 vs 0.49, p < 0.001), and lead (2.73 vs 2.16, p < 0.001) in girls were significantly higher than in boys. The levels of cadmium (median, SHS group vs control: 0.43 vs 0.29 (μg/g), p < 0.001) and lead (median, SHS group vs control: 2.71 vs 2.27 (μg/g), p = 0.007) in the SHS group were significantly higher than in the control. Multi-linear regression analysis indicated that SHS exposure in children is very likely to be correlated with increasing levels of lead (β (95% CI): 0.53 (0.99-5.14), p = 0.023) and cadmium (β (95% CI): 0.43 (0.14-0.73), p = 0.003) in their hair. In conclusion, children exposed to SHS have increased lead and cadmium accumulations in the body.

conclusionIn our study, 821 students (433 boys and 388 girls) were recruited, and the contents of heavy metals in their hair-including chromium, manganese, nickel, arsenic, lead, and cadmium-were detected by ICP-MS. And the secondhand smoking (SHS) exposure was inquired by face-to-face investigation of their parents. We illustrated that children exposed to SHS have increased lead and cadmium accumulations in the body. What is Known: • Secondhand smoke (SHS) has adverse effects on health, particularly for children. • There might be correlation between SHS exposure and heavy metal concentrations in children. What is New: • The levels of chromium, nickel, arsenic, and lead in girls were significantly higher than in boys. • SHS exposure in children was correlated with increasing levels of lead and cadmium in their hair because of exposure to SHS.

Indexed as

ChildChinaEnvironmental ExposureEnvironmental PollutantsFemaleHairHumansLinear ModelsMaleMetals, HeavySpectrophotometry, AtomicTobacco Smoke PollutionEnvironmental PollutantsMetals, HeavyTobacco Smoke PollutionCadmiumChildrenHairHeavy metalICP-MSLeadSecondhand smoke

Identifiers

PMID29224186
OpenAlexW2771571463

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.