Evidence map›Paper›PMID 32293365›Full record

SynthesisBMC public health2020

Time trends in smoking in Russia in the light of recent tobacco control measures: synthesis of evidence from multiple sources.

Vladimir M Shkolnikov, Elena Churilova, Dmitry A Jdanov, Svetlana A Shalnova, Odd Nilssen, Alexander Kudryavtsev, Sarah Cook, Sofia Malyutina, Martin McKee, David A Leon

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. The Health Status and Healthcare Utilization of Ethnic Germans in Russia.International journal of environmental research and public health · 2021
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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

10 authors.

Vladimir M ShkolnikovMax Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057, Rostock, Germany. Shkolnikov@demogr.mpg.de.
Elena ChurilovaNational Research University Higher School of Economics, Bolshoy Trekhsvyatitelsiy pereulok 3, Moscow, Russian Federation, 109038.
Dmitry A JdanovMax Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057, Rostock, Germany.
Svetlana A ShalnovaNational Medical Research Centre for Preventive Medicine, Petroverigskiy pereulok 10, Moscow, Russian Federation, 101990.
Odd NilssenUiT the Arctic University of Norway, 9037, Tromsø, Norway.
Alexander KudryavtsevNorthern State Medical University, Troitskiy Avenue 51, Arkhangelsk, Russian Federation, 163000.
Sarah CookLondon School of Hygiene & Tropical Medicine, WC1E 7HT, London, UK.
Sofia MalyutinaInstitute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Sciences, Vladimirovsky spusk 2a, Novosibirsk, Russian Federation, 630003.
Martin McKeeLondon School of Hygiene & Tropical Medicine, WC1E 7HT, London, UK.
David A LeonUiT the Arctic University of Norway, 9037, Tromsø, Norway.

Funding

Norwegian Institute of Public Health not applicableNorwegian Ministry of Health and Social Affairs not applicableRussian program for the state support of leading universities of the Russian Federation "5-100" not applicableUiT Arctic University of Norway not applicableWellcome TrustWellcome Trust 100217
6 · The paper itself

Abstract

backgroundThe study aims at identifying long-term trends and patterns of current smoking by age, gender, and education in Russia, including the most recent period from 2008 during which tobacco control policies were implemented, and to estimate the impact on mortality of any reductions in prevalence. We present an in-depth analysis based on an unprecedentedly large array of survey data.

methodsWe examined pooled micro-data on smoking from 17 rounds of the Russian Longitudinal Monitoring Study of 1996-2016, 11 other surveys conducted in Russia in 1975-2017, and two comparator surveys from England and the USA. Standardization by age and education, regression and meta-analysis were used to estimate trends in the prevalence of current smoking by gender, age, and educational patterns.

resultsFrom the mid-1970s to the mid-2000s smoking prevalence among men was relatively stable at around 60%, after which time prevalence declined in every age and educational group. Among women, trends in smoking were more heterogeneous. Prevalence more than doubled above the age of 55 years from very low levels (< 5%). At younger ages, there were steep increases until the mid-2000s after which prevalence has declined. Trends differed by educational level, with women in the lowest educational category accounting for most of the long-term increase. We estimate that the decline in male smoking may have contributed 6.2% of the observed reduction in cardiovascular deaths among men in the period 2008-16.

conclusionsThe implementation of an effective tobacco control strategy in Russia starting in 2008 coincided with a decline in smoking prevalence among men from what had been stable, high levels over many decades regardless of age and education. Among women, the declines have been more uneven, with young women showing recent downturns, while the smoking prevalence in middle age has increased, particularly among those with minimal education. Among men, these positive changes will have made a small contribution to the reduction in mortality seen in Russia since 2005.

Indexed as

Public PolicySmoke-Free PolicySmoking CessationAdolescentAdultAgedAged, 80 and overEducational StatusFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceRussiaSex FactorsAnti-smoking measuresEducational differencesForest plotsMale-female gapTobacco epidemic

Identifiers

PMID32293365
PMCPMC7092419

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.