Evidence map›Paper›PMID 32211794›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Secondhand Smoking and Obesity Among Nonsmoking Adolescents Aged 12-15 Years From 38 Low- and Middle-Income Countries.

Ai Koyanagi, Lee Smith, Hans Oh, Lin Yang, Sarah E Jackson, Josep Maria Haro, Jae I I Shin, Andre F Carvalho, Louis Jacob

Open access · hybridAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. 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
0.7field-weighted citation impact, top 26% 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, 14 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

9 authors at 9 institutions in 6 countries.

Ai KoyanagiParc Sanitari Sant Joan de Déu, CIBERSAM, Dr Antoni Pujadas, Barcelona, Spain.
Lee SmithThe Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK.
Hans OhUniversity of Southern California, Suzanne Dworak Peck School of Social Work, Los Angeles, CA.
Lin YangDepartment of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada.
Sarah E JacksonDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Josep Maria HaroParc Sanitari Sant Joan de Déu, CIBERSAM, Dr Antoni Pujadas, Barcelona, Spain.
Jae I I ShinCentre for Addiction & Mental Health (CAMH), Toronto, Ontario, Canada.
Andre F CarvalhoDepartment of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Louis JacobParc Sanitari Sant Joan de Déu, CIBERSAM, Dr Antoni Pujadas, Barcelona, Spain.
Alberta Health Services · CAAnglia Ruskin University · GBCentre for Addiction and Mental Health · CACentro de Investigación Biomédica en Red de Salud Mental · ESInstitució Catalana de Recerca i Estudis Avançats · ESUniversity of Calgary · CAUniversity of Southern California · USUniversity of Toronto · CAYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSecondhand smoking (SHS) may be a risk factor for obesity in adolescence, but data on the association between SHS and obesity are scarce, especially from low- and middle-income countries (LMICs). Therefore, the aim of this study was to assess the association between SHS and obesity among adolescents aged 12-15 years from 38 LMICs.

methodsCross-sectional data from 38 LMICs that participated in the Global School-based Student Health Survey (GSHS) were analyzed. Body mass index was calculated based on measured weight and height. The 2007 WHO Child Growth reference was used to define obesity. SHS was categorized as no exposure, non-daily exposure (ie, 1-6 days), and daily exposure (ie, 7 days) based on the number of days exposed to secondhand smoke in the past 7 days. Multivariable logistic regression and meta-analyses were conducted to assess the associations.

resultsThe analyzed sample consisted of 88 209 adolescents aged 12-15 years who never smoked. The overall prevalence of non-daily and daily SHS was 34.2% and 15.7%, respectively. After adjustment for potential confounders, compared with no SHS, there was no significant association between non-daily SHS and obesity (odds ratio [OR] = 0.94; 95% confidence interval [CI] = 0.86-1.02), but adolescents who reported daily SHS were significantly more likely to have obesity (OR = 1.19; 95% CI = 1.06-1.34).

conclusionsThe prevalence of SHS was high among adolescents in LMICs, and daily SHS was associated with a significant increase in odds of obesity. Future studies with longitudinal designs are warranted to assess causality and whether prevention of SHS can reduce the risk of obesity in adolescence. IMPLICATIONS: In the present large multi-country study on adolescents aged 12-15 years from LMICs, nearly half of the students were exposed to non-daily or daily secondhand smoke. Overall, while non-daily SHS was not significantly associated with obesity, adolescents who reported daily SHS had a significant 1.19 (95% CI = 1.06-1.34) times higher odds of obesity than those who reported no exposure to secondhand smoke. To the best of our knowledge, this is the first multi-country study on SHS and obesity from LMICs, and also the largest study on this topic to date.

Indexed as

AdolescentChildCross-Sectional StudiesDeveloping CountriesEnvironmental ExposureFemaleGlobal HealthHealth SurveysHumansMaleMeta-Analysis as TopicObesityRisk FactorsSchoolsStudentsTobacco Smoke PollutionTobacco Smoke Pollution

Identifiers

PMID32211794
PMCPMC7593363
OpenAlexW3013829302

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.