ArticlePloS one2014
Understanding the evolution of multimorbidity: evidences from the North West Adelaide Health Longitudinal Study (NWAHS).
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Early dynamics of multimorbidity in 17.4 million people in Spain: onset patterns and prognostic value.European journal of public health · 2026Article
- Long-term accrual of conditions following myocardial infarction: a study of disease trajectories in the Wales Multimorbidity e-Cohort.BMC medicine · 2025Article
- Quantifying cost and health-related quality of life outcomes in different multimorbidity trajectories: a systematic review protocol.BMJ open · 2025Article
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- Risk of Ischemic Heart Disease in Chronic Obstructive Pulmonary Disease: A Nationwide Cohort Study.Journal of Korean medical science · 2023Article
- Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis.EClinicalMedicine · 2023Article
- Joint frailty modeling of time-to-event data to elicit the evolution pathway of events: a generalized linear mixed model approach.Biostatistics (Oxford, England) · 2022Article
- 12-year evolution of multimorbidity patterns among older adults based on Hidden Markov Models.Aging · 2022Article
- Article
- Studying trajectories of multimorbidity: a systematic scoping review of longitudinal approaches and evidence.BMJ open · 2021Article
- Pathogenesis of multimorbidity-what is known?Zeitschrift fur Gerontologie und Geriatrie · 2021Article
- Prevalence, pattern and determinants of chronic disease multimorbidity in Nepal: secondary analysis of a national survey.BMJ open · 2021Article
- Article
- Article
- The Association of Multimorbidity With Preclinical AD Stages and SNAP in Cognitively Unimpaired Persons.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019Article
- Observational
- Cross-sectional examination of musculoskeletal conditions and multimorbidity: influence of different thresholds and definitions on prevalence and association estimates.BMC research notes · 2017Article
- Prevalence of Combined Somatic and Mental Health Multimorbidity: Patterns by Age, Sex, and Race/Ethnicity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2016Article
- Multimorbidity and Risk of Mild Cognitive Impairment.Journal of the American Geriatrics Society · 2015Article
- Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) - protocol for a research collaboration.Journal of multimorbidity and comorbidityArticle
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8 authors.
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Abstract
objectiveThe aim of this study is to describe the evolution of multimorbidity. STUDY DESIGN AND
settingData from 1854 South Australians who participated in the North West Adelaide longitudinal Health Study (NWAHS) was collected between baseline (2000-2002) and follow-up (2008-2010). Status for eight chronic diseases (CDs) was determined by biomedical measurement or self-report. Chronic disease (CD) mean age of occurrence and order of appearance was investigated.
resultsThe prevalence of multimorbidity increased from 32% to 64% during the 7.8±1.1 years of follow-up. The estimated mean age of onset of a new CD was significantly older for hypertension, cardiovascular disease (CVD) and chronic obstructive pulmonary disease (COPD) and younger for hypercholesterolemia, asthma and other mental problem. Hypercholesterolemia was more likely to develop as a first than as a subsequent CD (39%vs.16%, p<0.0001) while CVD (1%vs.5%, p<0.0001), diabetes (5%vs.11%, p<0.001) and COPD (6%vs.16%, p<0.0001) were less likely. The presence of mood disorders at baseline was associated with an increased risk of developing other mental disorders (36%vs.12%, p<0.0001), diabetes (18%vs.9%, p<0.01) and asthma (30%vs.21%, p<0.05).
conclusionLongitudinal data could be used to study the evolution of multimorbidity and could provide information on CDs mean age of occurrence, order of appearance and impact on the development of future CDs.
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