Evidence map›Paper›PMID 34920730›Full record

ArticleEnvironmental health : a global access science source2021

Exposure to second-hand smoke during early life and subsequent sleep problems in children: a population-based cross-sectional study.

Li-Zi Lin, Shu-Li Xu, Qi-Zhen Wu, Yang Zhou, Hui-Min Ma, Duo-Hong Chen, Peng-Xin Dong, Shi-Min Xiong, Xu-Bo Shen, Pei-En Zhou and 8 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 23 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

18 authors at 5 institutions in 1 country.

Li-Zi Lin *Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Shu-Li Xu *Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Qi-Zhen Wu *Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Yang ZhouState Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China.
Hui-Min MaState Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
Duo-Hong ChenDepartment of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China.
Peng-Xin DongNursing College, Guangxi Medical University, Nanning, 530021, China.
Shi-Min XiongSchool of Public Health, Zunyi Medical University, 6 Xuefu Road, Xinpuxin District, Zunyi, 563060, China.
Xu-Bo ShenSchool of Public Health, Zunyi Medical University, 6 Xuefu Road, Xinpuxin District, Zunyi, 563060, China.
Pei-En ZhouGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Ru-Qing LiuGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Gongbo ChenGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Hong-Yao YuGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Bo-Yi YangGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Xiao-Wen ZengGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.
Li-Wen HuGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China. huliwen@mail.sysu.edu.cn.
Yuan-Zhong ZhouSchool of Public Health, Zunyi Medical University, 6 Xuefu Road, Xinpuxin District, Zunyi, 563060, China.
Guang-Hui DongGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, China.ORCID 0000-0002-2578-3369
Sun Yat-sen University · CNZunyi Medical University · CNChinese Academy of Sciences · CNGuangdong Province Environmental Monitoring Center · CNGuangxi Medical University · CN

Funding

Fundamental Research Funds for the Central Universities 19ykjc01; 20ykzd10Guangdong Provincial Natural Science Foundation Team Project 2018B030312005Natural Science Foundation of Guangdong Province No. 2021A1515012212; No. 2021A151011754; No. 2021B15150020015; No. 2020A1515011131; No. 2019A050510017; No. 2018B05052007; No. 2017A090905042the National Key Research and Development Program of China No. 2018YFC1004300; No. 2018YFC1004302; No. 2018YFE0106900the National Natural Science Foundation of China (No. 82073502; No. M-0420; No. 81872583; No. 81872582the Science and Technology Program of Guangzhou No. 201807010032; No. 201803010054; No. 201903010023
6 · The paper itself

Abstract

backgroundPrevious studies have revealed that current secondhand smoke exposure showed highly suggestive evidence for increased risk of simultaneous sleep problems in children. Data on the associations between early-life exposure to SHS with subsequent sleep problems in children were scarce. We aimed to evaluate the associations of early-life SHS exposure with sleep problems in children.

methodsIn this cross-sectional study, children were recruited from elementary and middle schools in Liaoning Province, China between April 2012 and January 2013. We assessed early-life SHS exposure (pregnancy and the first 2 years of life) via questionnaires. Sleep problems and different types of sleep-related symptoms were measured based on the validated tool of the Sleep Disturbance Scale for Children (SDSC). Generalized linear mixed models were applied to estimate the associations of early-life SHS exposure with sleep problems.

resultsWe included a total of 45,562 children (22,657 [49.7%] males; mean [SD] age, 11.0 [2.6] years) and 6167 of them (13.5%) were exposed to early-life SHS during both pregnancy and the first 2 years of life. Compared with unexposed counterparts, children exposed to early-life SHS had higher total T-scores of SDSC (β = 4.32; 95%CI: 4.06, 4.58) and higher odds of increased sleep problems (OR = 2.14; 95%CI: 1.89, 2.42). When considering different sleep-related symptoms, the associations between early-life SHS exposure and symptom of sleep-wake transition disorders (i.e., bruxism) were the strongest in all analyses.

conclusionsEarly-life SHS exposure was associated with higher odds of global sleep problems and different sleep-related symptoms in children aged 6-18 years. Our findings highlight the importance to strengthen efforts to support the critical importance of maintaining a smoke-free environment especially in early life.

Indexed as

Sleep Wake DisordersTobacco Smoke PollutionChildCross-Sectional StudiesEnvironmental ExposureFemaleHumansMalePregnancySurveys and QuestionnairesTobacco Smoke PollutionChildrenPublic healthSecondhand smokeSleep

Identifiers

PMID34920730
PMCPMC8684187
OpenAlexW4200491520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.