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Attention Score in Context
| Title |
Smoking and heavy drinking patterns in rural, urban and rural-to-urban migrants: the PERU MIGRANT Study
|
|---|---|
| Published in |
BMC Public Health, February 2017
|
| DOI | 10.1186/s12889-017-4080-7 |
| Pubmed ID | |
| Authors |
Alvaro Taype-Rondan, Antonio Bernabe-Ortiz, Germán F. Alvarado, Robert H. Gilman, Liam Smeeth, J. Jaime Miranda |
| Abstract |
Previous studies have found mixed results about cigarette and alcohol consumption patterns among rural-to-urban migrants. Moreover, there are limited longitudinal data about consumption patterns in this population. As such, this study aimed to compare the smoking and heavy drinking prevalence among rural, urban, and rural-to-urban migrants in Peru, as well as the smoking and heavy drinking incidence in a 5-year follow-up. We analyzed the PERU MIGRANT Study data from rural, urban, and rural-to-urban migrant populations in Peru. The baseline study was carried out in 2006-2007 and follow-up was performed five years later. For the baseline data analysis, the prevalence of lifetime smoking, current smokers, and heavy drinking was compared by population group using prevalence ratios (PR) and 95% confidence intervals (95% CI). For the longitudinal analysis, the incidence of smoking and heavy drinking was compared by population group with risk ratios (RR) and 95% CI. Poisson regression with robust variance was used to calculate both PRs and RRs. We analyzed data from 988 participants: 200 rural dwellers, 589 migrants, and 199 urban dwellers. Compared with migrants, lifetime smoking prevalence was higher in the urban group (PR = 2.29, 95% CI = 1.64-3.20), but lower in the rural group (PR = 0.55, 95% CI = 0.31-0.99). Compared with migrants, the urban group had a higher current smoking prevalence (PR = 2.29, 95% CI = 1.26-4.16), and a higher smoking incidence (RR = 2.75, 95% CI = 1.03-7.34). Current smoking prevalence and smoking incidence showed no significant difference between rural and migrant groups. The prevalence and incidence of heavy drinking was similar across the three population groups. Our results show a trend in lifetime smoking prevalence (urban > migrant > rural), while smoking incidence was similar between migrant and rural groups, but higher in the urban group. In addition, our results suggest that different definitions of smoking status could lead to different smoking rates and potentially different measures of association. The prevalence and incidence of heavy drinking were similar between the three population groups. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 19% |
| Student > Master | 9 | 15% |
| Researcher | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 20% |
| Nursing and Health Professions | 10 | 17% |
| Economics, Econometrics and Finance | 6 | 10% |
| Materials Science | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
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 11 May 2017.
All research outputs
#15,443,875
of 22,953,506 outputs
Outputs from BMC Public Health
#11,410
of 14,957 outputs
Outputs of similar age
#257,136
of 420,793 outputs
Outputs of similar age from BMC Public Health
#169
of 209 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,957 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 16th percentile – i.e., 16% 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 420,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.