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Attention Score in Context
| Title |
Behavioral Health Risk Factors: the Interaction of Personal and Country Effects
|
|---|---|
| Published in |
International Journal of Behavioral Medicine, February 2018
|
| DOI | 10.1007/s12529-018-9711-6 |
| Pubmed ID | |
| Authors |
Teresa García-Muñoz, Shoshana Neuman, Tzahi Neuman |
| Abstract |
This study investigated the relationship between the individual's self-assessed health status (SAHS) and health-risk factors (smoking, alcohol consumption and obesity), in 16 European countries. The associations were studied for the individual and for the country measures-and in particular, for the unexplored aspect of interaction between individual and country levels of the three risk factors. Data for 47,114 adults, who participated in the Survey of Health Aging and Retirement Europe (SHARE), were analyzed using Multilevel Regression Analysis. The individual data were complemented by OECD data that provided country-specific risk measures: percentage of daily smokers, annual per-capita consumption of alcohol (liters), and percentage of obese individuals. We found that the individual's SAHS is negatively associated with smoking and with weight-risk factors and is positively associated with her/his alcohol consumption. The most pronounced associations relate to the weight variables, albeit they are attenuated in countries with higher percentages of obese individuals. Significant differences across countries were evidenced in the association between SAHS and smoking and between SAHS and alcohol consumption. Individual health levels are associated with individual risk factors and also with the behaviors in the country. Significant interactions might indicate that psychological factors are at work. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 1 | 25% |
| Spain | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 5 | 26% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 21% |
| Medicine and Dentistry | 3 | 16% |
| Nursing and Health Professions | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 February 2018.
All research outputs
#2,832,511
of 23,020,670 outputs
Outputs from International Journal of Behavioral Medicine
#123
of 906 outputs
Outputs of similar age
#67,604
of 437,326 outputs
Outputs of similar age from International Journal of Behavioral Medicine
#2
of 12 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 906 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 86% of its peers.
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 437,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.