| Title |
Multimorbidity Patterns in the Elderly: A New Approach of Disease Clustering Identifies Complex Interrelations between Chronic Conditions
|
|---|---|
| Published in |
PLOS ONE, December 2010
|
| DOI | 10.1371/journal.pone.0015941 |
| Pubmed ID | |
| Authors |
Ingmar Schäfer, Eike-Christin von Leitner, Gerhard Schön, Daniela Koller, Heike Hansen, Tina Kolonko, Hanna Kaduszkiewicz, Karl Wegscheider, Gerd Glaeske, Hendrik van den Bussche |
| Abstract |
Multimorbidity is a common problem in the elderly that is significantly associated with higher mortality, increased disability and functional decline. Information about interactions of chronic diseases can help to facilitate diagnosis, amend prevention and enhance the patients' quality of life. The aim of this study was to increase the knowledge of specific processes of multimorbidity in an unselected elderly population by identifying patterns of statistically significantly associated comorbidity. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Italy | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 1% |
| Spain | 4 | 1% |
| Indonesia | 3 | <1% |
| Canada | 2 | <1% |
| United Kingdom | 2 | <1% |
| India | 2 | <1% |
| United States | 2 | <1% |
| South Africa | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 372 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 83 | 21% |
| Researcher | 68 | 17% |
| Student > Master | 45 | 11% |
| Student > Doctoral Student | 34 | 9% |
| Student > Postgraduate | 29 | 7% |
| Other | 54 | 14% |
| Unknown | 83 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 145 | 37% |
| Social Sciences | 37 | 9% |
| Nursing and Health Professions | 21 | 5% |
| Psychology | 18 | 5% |
| Computer Science | 13 | 3% |
| Other | 54 | 14% |
| Unknown | 108 | 27% |