Evidence map›Paper›PMID 26821038›Full record

ArticleInternational journal of environmental research and public health2016

Factors Associated with Complete Home Smoking Ban among Chinese Parents of Young Children.

Kaiyong Huang, Hailian Chen, Jing Liao, Guangmin Nong, Li Yang, Jonathan P Winickoff, Zhiyong Zhang, Abu S Abdullah

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

8 authors at 3 institutions in 2 countries.

Kaiyong HuangSchool of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China. huangka0319@sina.com.
Hailian ChenSchool of Information and Management, Guangxi Medical University, Nanning 530021, Guangxi, China. chlq869007621@163.com.
Jing LiaoDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China. gxlmd@126.com.
Guangmin NongDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China. ngm8525@hotmail.com.
Li YangSchool of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China. yangli8290@hotmail.com.
Jonathan P WinickoffMGH Center for Child and Adolescent Health Research and Policy, Harvard Medical School, Boston, MA 02115, USA. JWINICKOFF@PARTNERS.ORG.
Zhiyong ZhangSchool of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China. rpazz@163.com.
Abu S AbdullahGlobal Health Program, Duke Kunshan University, Kunshan 215347, Jiangsu Province, China. asm.abdullah@graduate.hku.hk.
Guangxi Medical University · CNDuke Institute for Health Innovation · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1)

backgroundThe home environment is a major source of Environmental Tobacco Smoke (ETS) exposure among children especially in early childhood. ETS exposure is an important health risk among children and can cause severe and chronic diseases, such as asthma, bronchitis, and premature death. However, ETS exposure at home has often been neglected in the Chinese families. Identification of factors that facilitate or otherwise hamper the adoption of home smoking ban will help in the design and implementation of evidence-based intervention programs. This study identifies factors correlated with home smoking bans in Chinese families with children. (2)

methodsA cross-sectional survey of parents living in Nanning city, Guangxi Province, China with at least one smoker and a child in the household was conducted between September, 2013 and January, 2014. A Chi-square test was used to compare categorical variables differences between the parents who had home smoking bans and those with no home smoking ban. Multiple logistic regression analyses were used to identify factors correlated with home smoking bans. (3)

results969 completed questionnaires were collected with a response rate of 92.29% (969/1050). Of the respondents (n = 969), 14.34% had complete home smoking bans. Factors that were associated with home smoking bans were: having no other smokers in the family (OR = 2.173), attaining education up to high school (OR = 2.471), believing that paternal smoking would increase the risk of lower respiratory tract illnesses (OR = 2.755), perceiving the fact that smoking cigarettes in the presence of the child will hurt the child's health (OR = 1.547), believing that adopting a no smoking policy at home is very important (OR = 2.816), and being confident to prevent others to smoke at home (OR = 1.950). Additionally, parents who perceived difficulty in adopting a no smoking policy at home would not have a home smoking ban (OR = 0.523). (4)

conclusionsA home smoking ban is not widely adopted by families of hospitalized children in Guangxi Province, China. To protect the health of children, there is a need to develop and test interventions to promote home smoking bans. Factors identified as predictors of home smoking ban should be considered in the design of interventions.

Indexed as

HousingAir Pollution, IndoorAsian PeopleChildChild, PreschoolChinaChi-Square DistributionCross-Sectional StudiesFemaleHumansInfantMaleParentsPrevalencePublic PolicyRisk FactorsTobacco Smoke PollutionchildrenChinaenvironmental tobacco smokehome smoking ban

Identifiers

PMID26821038
PMCPMC4772181
OpenAlexW2258655520

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.