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Attention Score in Context
| Title |
Which environmental factors are associated with lived health when controlling for biological health? - a multilevel analysis
|
|---|---|
| Published in |
BMC Public Health, May 2015
|
| DOI | 10.1186/s12889-015-1834-y |
| Pubmed ID | |
| Authors |
Cristina Bostan, Cornelia Oberhauser, Gerold Stucki, Jerome Bickenbach, Alarcos Cieza |
| Abstract |
Lived health and biological health are two different perspectives of health introduced by the International Classification of Functioning, Disability and Health (ICF). Since in the concept of lived health the impact of the environment on biological health is inherently included, it seems intuitive that when identifying the environmental determinants of health, lived health is the appropriate outcome. The Multilevel Item Response Theory (MLIRT) model has proven to be a successful method when dealing with the relation between a latent variable and observed variables. The objective of this study was to identify environmental factors associated with lived health when controlling for biological health by using the MLIRT framework. We performed a psychometric study using cross-sectional data from the Spanish Survey on Disability, Independence and Dependency Situation. Data were collected from 17,303 adults living in 15,263 dwellings. The MLIRT model was used for each of the two steps of the analysis to: (1) calculate people's biological health abilities and (2) estimate the association between lived health and environmental factors when controlling for biological health. The hierarchical structure of individuals in dwellings was considered in both models. Social support, being able to maintain one's job, the extent to which one's health needs are addressed and being discriminated against due to one's health problems were the environmental factors identified as associated with lived health. Biological health also had a strong positive association with lived health. This study identified environmental factors associated with people's lived health differences within and between dwellings according to the MLIRT-model approach. This study paves the way for the future implementation of the MLIRT model when analysing ICF-based data. |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 18% |
| Student > Doctoral Student | 6 | 15% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Master | 5 | 13% |
| Professor | 4 | 10% |
| Other | 5 | 13% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 18% |
| Medicine and Dentistry | 7 | 18% |
| Nursing and Health Professions | 5 | 13% |
| Psychology | 3 | 8% |
| Computer Science | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 May 2015.
All research outputs
#15,351,826
of 25,654,806 outputs
Outputs from BMC Public Health
#11,495
of 17,751 outputs
Outputs of similar age
#137,994
of 280,733 outputs
Outputs of similar age from BMC Public Health
#160
of 239 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 33rd percentile – i.e., 33% 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 280,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.