Evidence map›Paper›PMID 38664744›Full record

ArticleBMC public health2024

Risk factors for smoking in adolescence: evidence from a cross-sectional survey in Switzerland.

Szilvia Altwicker-Hámori, Kurt Alexander Ackermann, Pia Furchheim, Julia Dratva, Dominique Truninger, Steffen Müller, Frank Wieber

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. 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
4.2field-weighted citation impact, top 5% 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, 13 citations in OpenAlex.

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  7. Who Reports Greater Chronic Disease Risk Behaviours? A Closer Look at Sociodemographic Differences Among Australian Adolescents: A Cross-Sectional Analysis.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
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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 2 institutions in 2 countries.

Szilvia Altwicker-HámoriWinterthur Institute of Health Economics, School of Management and Law, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland. altw@zhaw.ch.
Kurt Alexander AckermannCenter for Behavioral Insights & Pricing, School of Management and Law, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland.
Pia FurchheimCenter for Behavioral Insights & Pricing, School of Management and Law, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland.
Julia DratvaInstitute of Public Health, School of Health Sciences, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland.
Dominique TruningerInstitute of Public Health, School of Health Sciences, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland.
Steffen Müller *Center for Behavioral Insights & Pricing, School of Management and Law, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland.
Frank Wieber *Institute of Public Health, School of Health Sciences, ZHAW Zürich University of Applied Sciences, Winterthur, Switzerland.
ZHAW Zurich University of Applied Sciences · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCigarette smoking during adolescence is a major public health concern with far-reaching health implications. Adolescents who smoke are at an increased risk of developing long-term health problems and are more likely to continue smoking into adulthood. Therefore, it is vital to identify and understand the risk factors that contribute to adolescent smoking - which in turn facilitate the development of targeted prevention and intervention programs.

methodsData was drawn from a cross-sectional survey conducted between October and December 2021, encompassing adolescents of adolescents aged 14 to 19 residing in Switzerland (n = 2,683). Multiple logistic regression analysis was employed to explore which demographic, household, behavioural and psychographic factors are associated with current smoking status.

resultsThe regression results showed higher odds of smoking for female respondents (OR 1.39; p-value 0.007); older adolescents (OR 1.30; p-value < 0.001); those living in the French-speaking part of Switzerland (OR 1.39; p-value 0.021), in suburban areas (OR 1.35; p-value 0.023) and with a smoker in the same household (OR 2.41; p-value < 0.001); adolescents consuming alcohol (OR 4.10; p-value < 0.001), cannabis products (OR 6.72; p-value < 0.001) and hookah (OR 5.07; p-value < 0.001) at least once a month; respondents not engaging in sports (OR 1.90; p-value < 0.001) or music (OR 1.42; p-value 0.031) as top five leisure activities and those experiencing high stress levels at home (OR 1.74; p-value < 0.001). Adolescents with high scores in health awareness (OR 0.33; p-value < 0.001), on the relational self-esteem scale (OR 0.78; p-value 0.054) and on the general well-being scale (OR 0.52; p-value 0.022) were less likely to smoke than their counterparts with lower scores. High risk-seeking was associated with higher odds of smoking (OR 2.15; p-value < 0.001).

conclusionsOur results suggest the importance of a comprehensive approach at both individual and institutional levels to reduce smoking rates in adolescents. More specifically, a holistic strategy that encompasses adolescents, families, schools and policymakers ranging from strengthening adolescents' self-esteem, smoking cessation support for parents, to increasing engagement in musical and physical activities, and enhancing health awareness in the school curriculum.

Indexed as

SmokingAdolescentAdolescent BehaviorCross-Sectional StudiesFemaleHumansMaleRisk FactorsSurveys and QuestionnairesSwitzerlandYoung AdultAdolescenceSmoking behaviourSmoking preventionSwitzerland

Identifiers

PMID38664744
PMCPMC11046866
OpenAlexW4395464976

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.