Evidence map›Paper›PMID 33004859›Full record

ArticleScientific reports2020

Lifelong smoking trajectories of Northern Finns are characterized by sociodemographic and lifestyle differences in a 46-year follow-up.

Petteri Oura, Ina Rissanen, Juho-Antti Junno, Terttu Harju, Markus Paananen

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Petteri OuraCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 5000, 90014, Oulu, Finland. petteri.oura@oulu.fi.
Ina RissanenDepartments of Neurology and Neurosurgery, Oulu University Hospital, PO Box 50, 90029, Oulu, Finland.
Juho-Antti JunnoCancer Research and Translational Medicine Research Unit, University of Oulu, PO Box 5000, 90014, Oulu, Finland.
Terttu HarjuResearch Unit of Internal Medicine, Faculty of Medicine, University of Oulu, PO Box 5000, 90014, Oulu, Finland.
Markus PaananenCenter for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 5000, 90014, Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking remains among the leading causes of mortality worldwide. Obtaining a comprehensive understanding of a population's smoking behaviour is essential for tobacco control. Here, we aim to characterize lifelong smoking patterns and explore underlying sociodemographic and lifestyle factors in a population-based birth cohort population followed up for 46 years. Our analysis is based on 5797 individuals from the Northern Finland Birth Cohort 1966 who self-reported their tobacco smoking behaviour at the ages of 14, 31 and 46. Data on sex, education, employment, body mass index, physical activity, alcohol consumption, and substance addiction were also collected at the follow-ups. We profile each individual's annual smoking history from the age of 5 to 47, and conduct a latent class trajectory analysis on the data. We then characterize the identified smoking trajectory classes in terms of the background variables, and compare the heaviest smokers with other classes in order to reveal specific predictors of non-smoking and discontinued smoking. Six smoking trajectories are identified in our sample: never-smokers (class size 41.0%), youth smokers (12.6%), young adult quitters (10.8%), late adult quitters (10.5%), late starters (4.3%), and lifetime smokers (20.7%). Smoking is generally associated with male sex, lower socioeconomic status and unhealthier lifestyle. Multivariable between-class comparisons identify unemployment (odds ratio [OR] 1.28-1.45) and physical inactivity (OR 1.20-1.52) as significant predictors of lifetime smoking relative to any other class. Female sex increases the odds of never-smoking and youth smoking (OR 1.29-1.33), and male sex increases the odds of adult quitting (OR 1.30-1.41), relative to lifetime smoking. We expect future initiatives to benefit from our data by exploiting the identified predictors as direct targets of intervention, or as a means of identifying individuals who may benefit from such interventions.

Indexed as

Life StyleAdolescentAdultAlcohol DrinkingBody Mass IndexChildChild, PreschoolFemaleFinlandFollow-Up StudiesHumansMaleMiddle AgedSex FactorsSmokersSmoking

Identifiers

PMID33004859
PMCPMC7529914

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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.