Clustering of 31 health conditions among multimorbid people in Fife and Tayside, Scotland: E-cohort analysis.
Background A deeper understanding of the clustering of multimorbidity (2+) (MM) conditions by age, sex, and deprivation could help prepare health systems for adequate and effective preventive intervention. We identified the commonest conditions and their clusters contributing to MM stratified age, s...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Swansea University
2022-08-01
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| Rangatū: | International Journal of Population Data Science |
| Ngā marau: | |
| Urunga tuihono: | https://ijpds.org/article/view/2036 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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