Title |
Multimorbidity Patterns in Primary Care: Interactions among Chronic Diseases Using Factor Analysis
|
---|---|
Published in |
PLOS ONE, February 2012
|
DOI | 10.1371/journal.pone.0032190 |
Pubmed ID | |
Authors |
Alexandra Prados-Torres, Beatriz Poblador-Plou, Amaia Calderón-Larrañaga, Luis Andrés Gimeno-Feliu, Francisca González-Rubio, Antonio Poncel-Falcó, Antoni Sicras-Mainar, José Tomás Alcalá-Nalvaiz |
Abstract |
The primary objective of this study was to identify the existence of chronic disease multimorbidity patterns in the primary care population, describing their clinical components and analysing how these patterns change and evolve over time both in women and men. The secondary objective of this study was to generate evidence regarding the pathophysiological processes underlying multimorbidity and to understand the interactions and synergies among the various diseases. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 5 | 1% |
United States | 3 | <1% |
Indonesia | 2 | <1% |
Netherlands | 2 | <1% |
Canada | 2 | <1% |
United Kingdom | 2 | <1% |
Sweden | 1 | <1% |
Finland | 1 | <1% |
India | 1 | <1% |
Other | 0 | 0% |
Unknown | 355 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 68 | 18% |
Researcher | 54 | 14% |
Student > Master | 53 | 14% |
Student > Postgraduate | 29 | 8% |
Student > Doctoral Student | 27 | 7% |
Other | 76 | 20% |
Unknown | 67 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 145 | 39% |
Nursing and Health Professions | 37 | 10% |
Social Sciences | 18 | 5% |
Psychology | 13 | 3% |
Computer Science | 12 | 3% |
Other | 54 | 14% |
Unknown | 95 | 25% |