Evidence map›Paper›PMID 27639390›Full record

ArticleJournal of youth and adolescence2017

Tobacco Use by Middle and High School Chinese Adolescents and their Friends.

Ling Li, Ting Lu, Li Niu, Yi Feng, Shenghua Jin, Doran C French

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of youth and adolescence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Ling LiSchool of Psychology, Beijing Normal University and a Professor of Psychology at Hubei University, Beijing, China.
Ting LuDepartment of Human Development and Family Studies, Purdue University, West Lafayette, IN, USA.
Li NiuDepartment of Human Development and Family Studies, Purdue University, West Lafayette, IN, USA.
Yi FengDepartment of Human Development and Family Studies, Purdue University, West Lafayette, IN, USA.
Shenghua JinSchool of Psychology, Beijing Normal University and a Professor of Psychology at Hubei University, Beijing, China.
Doran C FrenchDepartment of Human Development and Family Studies, Purdue University, West Lafayette, IN, USA. dcfrench@purdue.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the similarity of the tobacco use of youth and their friends and unraveling the extent to which this similarity results from selection or socialization is central to peer influence models of tobacco use. The similarity between the tobacco use of Chinese adolescents and their friends were explored in middle (880, 13.3 years, 399 girls) and high school (849, 16.6 years, 454 girls) cohorts assessed yearly at three times. Boys were more similar to their friends in tobacco use than were girls. Growth curve models revealed escalation of use during middle school and stable use during high school for boys, whereas models for girls could not be computed. Evidence of selection effects emerged from cross-lagged panel analyses revealing pathways from boys' tobacco use to subsequent changes in their friends' use; assessment of selection and influence processes could not be assessed for girls. The results from this study suggest that peer influence processes may differ for Chinese boys and girls and that further quantitative and qualitative research is necessary to understand these processes.

Indexed as

Social DesirabilityAdolescentAdolescent BehaviorChinaFemaleFriendsHumansLongitudinal StudiesMalePeer GroupSex DistributionSmokingSocial IdentificationSocializationTobacco UseFriendship: ChinaPeer influenceTobacco

Identifiers

PMID27639390

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.