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Current and past smoking patterns in a Central European urban population: a cross-sectional study in a high-burden country

Overview of attention for article published in BMC Public Health, July 2016
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Title
Current and past smoking patterns in a Central European urban population: a cross-sectional study in a high-burden country
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3216-5
Pubmed ID
Authors

Narine K. Movsisyan, Ondrej Sochor, Eva Kralikova, Renata Cifkova, Hana Ross, Francisco Lopez-Jimenez

Abstract

Many studies have examined the socioeconomic variations in smoking and quitting rates across the European region; however, data from Central and East European countries, where the tobacco burden is especially high, are sparse. This study aimed to assess the patterns in current and past smoking prevalence based on cross-sectional data from a Central European urban population sample. Data from 2160 respondents aged 25-64 years in Brno, Czech Republic were collected in 2013-2014 using the Czech post-MONICA survey questionnaire to assess the prevalence of cardiovascular risk factors, including smoking status. The age- and sex-stratified randomized sample was drawn using health insurance registries. Descriptive statistics and quit ratios were calculated, and chi-square and multivariate logistic analyses conducted to examine relationships between current and past smoking and demographic (age, gender, marital status) and socioeconomic variables (education, income, occupation). The prevalence of current and past smoking was 23.6 and 31.3 % among men and 20.5 and 23.2 % among women, respectively. Education reliably predicted smoking and quitting rates in both genders. Among men, being unemployed was associated with greater odds of smoking (OR 3.6; 1.6-8.1) and lower likelihood of quitting (OR 0.2: 0.1-0.6); the likelihood of quitting also increased with age (OR 1.8; 1.2-2.8). Among women, marital status (being married) decreased the odds of current smoking (OR 0.6; 0.4-0.9) and increased the odds of quitting (OR 2.2; 1.2-3.9). Quit ratios were the lowest in the youngest age group (25-34 years) where quitting was more strongly associated with middle income (OR 2.7; 95 % CI 1.2-5.9) than with higher education (OR 2.9; 95 % CI 0.9-8.2). Interventions to increase cessation rates and reduce smoking prevalence need to be gender-specific and carefully tailored to the needs of the disadvantaged groups of the population, especially the less well-off young adults. Future studies should examine the equity impact of the tobacco control policies and be inclusive of the Central and East European countries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Other 3 7%
Other 4 9%
Unknown 19 41%
Readers by discipline Count As %
Social Sciences 7 15%
Nursing and Health Professions 4 9%
Medicine and Dentistry 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Psychology 2 4%
Other 4 9%
Unknown 22 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 July 2016.
All research outputs
#18,465,988
of 22,880,691 outputs
Outputs from BMC Public Health
#12,905
of 14,922 outputs
Outputs of similar age
#272,643
of 355,956 outputs
Outputs of similar age from BMC Public Health
#311
of 345 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,922 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.