Do replicable profiles of multimorbidity exist? Systematic review and synthesis
Journal article
Busija, Ljoudmila, Lim, Karen, Szoeke, Cassandra, Sanders, Kerrie M. and McCabe, Marita P.. (2019). Do replicable profiles of multimorbidity exist? Systematic review and synthesis. European Journal of Epidemiology. 34, pp. 1025 - 1053. https://doi.org/10.1007/s10654-019-00568-5
| Authors | Busija, Ljoudmila, Lim, Karen, Szoeke, Cassandra, Sanders, Kerrie M. and McCabe, Marita P. |
|---|---|
| Abstract | This systematic review aimed to synthesise multimorbidity profiling literature to identify replicable and clinically meaningful groupings of multimorbidity. We searched six electronic databases (Medline, EMBASE, PsycINFO, CINAHL, Scopus, and Web of Science) for articles reporting multimorbidity profiles. The identified profiles were synthesised with multidimensional scaling, stratified by type of statistical analysis used in the derivation of profiles. The 51 studies that met inclusion criteria reported results of 98 separate analyses of multimorbidity profiling, with a total of 407 multimorbidity profiles identified. The statistical techniques used to identify multimorbidity profiles were exploratory factor analysis, cluster analysis of diseases, cluster analysis of people, and latent class analysis. Reporting of methodological details of statistical methods was often incomplete. The discernible groupings of multimorbidity took the form of both discrete categories and continuous dimensions. Mental health conditions and cardio-metabolic conditions grouped along identifiable continua in the synthesised results of all four methods. Discrete groupings of chronic obstructive pulmonary disease with asthma, falls and fractures with sensory deficits and of Parkinson’s disease and cognitive decline where partially replicable (identifiable in the results of more than one method), while clustering of musculoskeletal conditions and clustering of reproductive systems were each observed only in one statistical approach. The two most replicable multimorbidity profiles were mental health conditions and cardio-metabolic conditions. Further studies are needed to understand aetiology and evolution of these multimorbidity groupings. Guidelines for strengthening the reporting of multimorbidity profiling studies are proposed. |
| Keywords | multimorbidity; exploratory factor analysis; cluster analysis; latent class analysis; multidimensional scaling |
| Year | 2019 |
| Journal | European Journal of Epidemiology |
| Journal citation | 34, pp. 1025 - 1053 |
| Publisher | Springer Netherlands |
| ISSN | 0393-2990 |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/s10654-019-00568-5 |
| Page range | 1025 - 1053 |
| Research Group | Mary MacKillop Institute for Health Research |
| Publisher's version | File Access Level Controlled |
| Place of publication | Netherlands |
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Holloway, Kara, Bucki-Smith, Gosia, Morse, Amelia, Brennan-Olsen, Sharon, Kotowicz, Mark, Moloney, David, Sanders, Kerrie, Korn, S, Timney, Elizabeth, Dobbins, Amelia and Pasco, Julie. (2015). Humeral fractures in south-eastern Australia: Epidemiology and risk factors. Calcified Tissue International. 97(5), pp. 453 - 465. https://doi.org/10.1007/s00223-015-0039-9Weight perception in overweight adolescents: Associations with body change intentions, diet and physical activity
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