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Tobacco consumption and positive mental health: an epidemiological study from a positive psychology perspective

Overview of attention for article published in BMC Psychology, May 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

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5 tweeters
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1 Facebook page

Citations

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3 Dimensions

Readers on

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78 Mendeley
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Title
Tobacco consumption and positive mental health: an epidemiological study from a positive psychology perspective
Published in
BMC Psychology, May 2016
DOI 10.1186/s40359-016-0130-7
Pubmed ID
Authors

Juan Carlos Bazo-Alvarez, Frank Peralta-Alvarez, Antonio Bernabé-Ortiz, Germán F. Alvarado, J. Jaime Miranda

Abstract

Positive mental health (PMH) is much more than the absence of mental illnesses. For example, PMH explains that to be happy or resilient can drive us to live a full life, giving us a perception of well-being and robustness against everyday problems. Moreover, PMH can help people to avoid risky behaviours like tobacco consumption (TC). Our hypothesis was that PMH is negatively associated with TC, and this association differs across rural, urban and migrant populations. A cross-sectional study was conducted using the PERU MIGRANT Study's dataset, including rural population from the Peruvian highlands (n = 201), urban population from the capital city Lima (n = 199) and migrants who were born in highlands but had to migrated because of terrorism (n = 589). We used an adapted version of the 12-item Global Health Questionnaire to measure PMH. The outcome was TC, measured as lifetime and recent TC. Log-Poisson robust regression, performed with a Maximum Likelihood method, was used to estimate crude prevalence ratios (PR) and 95 % confidence intervals (95%CI), adjusted by sex, age, family income and education which were the confounders. The modelling procedure included the use of LR Test, Akaike information criteria (AIC) and Bayesian information criteria (BIC). Cumulative occurrence of tobacco use (lifetime TC) was 61.7 % in the rural group, 78 % in the urban group and 76.2 % in rural-to-urban migrants. Recent TC was 35.3 % in the rural group, 30.7 % in the urban group and 20.5 % in rural-to-urban migrants. After adjusting for confounders, there was evidence of a negative association between PMH and lifetime TC in the rural group (PR = 0.93; 95%CI: 0.87-0.99), and a positive association between PMH and recent TC in migrants (PR = 1.1; 95%CI: 1.0-1.3). PMH was negatively associated with TC in rural participants only. Urbans exhibited just a similar trend, while migrants exhibited the opposite one. This evidence represents the first step in the route of knowing the potential of PMH for fighting against TC. For rural populations, this study supplies new information that could support decisions about prevention programmes and psychotherapy for smoking cessation. However, more research in the topic is needed.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Researcher 13 17%
Student > Bachelor 10 13%
Student > Doctoral Student 6 8%
Student > Postgraduate 4 5%
Other 19 24%
Unknown 12 15%
Readers by discipline Count As %
Psychology 19 24%
Medicine and Dentistry 15 19%
Social Sciences 8 10%
Nursing and Health Professions 4 5%
Arts and Humanities 3 4%
Other 12 15%
Unknown 17 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 April 2017.
All research outputs
#5,752,753
of 11,420,953 outputs
Outputs from BMC Psychology
#131
of 223 outputs
Outputs of similar age
#97,364
of 275,157 outputs
Outputs of similar age from BMC Psychology
#13
of 19 outputs
Altmetric has tracked 11,420,953 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one is in the 39th percentile – i.e., 39% 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 275,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.