ArticlePloS one2020
Patterns of multimorbidity and demographic profile of latent classes in a Danish population-A register-based study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- A systematic review and meta-analysis of disease clusters in multimorbidity.Nature communications · 2025Pooled it
- Social determinants of multimorbidity patterns: A systematic review.Frontiers in public health · 2023Pooled it
- Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the SELFBACK app on low back pain-related disability.BMC medicine · 2022Trial
- Social determinants of intersectional inequalities in multimorbidity and its burden in China: a multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA).International journal for equity in health · 2026Article
- Comparing disparities in geographic proximity to exercise-based cardiac rehabilitation before and after decentralisation of services: a repeated cross-sectional study using individual-level register data.International journal for equity in health · 2025Article
- Social inequity in chiropractic utilisation - a cross-sectional study in Denmark, 2010 and 2017.Chiropractic & manual therapies · 2024Article
- Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain.Nature communications · 2023Article
- Meal Frequency and Multi-Morbidity in a Cypriot Population: A Cross-Sectional Study.Foods (Basel, Switzerland) · 2023Article
- Social inequalities in multimorbidity patterns in Europe: A multilevel latent class analysis using the European Social Survey (ESS).SSM - population health · 2022Article
- Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review.BMJ open · 2022Article
- Article
- Outcomes in patients with chronic leg wounds in Denmark: A nationwide register-based cohort study.International wound journal · 2022Article
- Rehabilitation Research in Denmark Between 2001 and 2020: A Scoping Review.Frontiers in rehabilitation sciences · 2022Article
- Joint effects of educational attainment, type 2 diabetes and coexisting morbidity on disability pension: results from a longitudinal, nationwide, register-based study.Diabetologia · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultimorbidity is an increasing public health concern and is associated with a range of further adverse outcomes. Identification of disease patterns as well as characteristics of populations affected by multimorbidity is important for prevention strategies to identify those at risk.
aimThe aim of the study was to identify and describe demographic characteristics of multimorbidity classes in three age groups (16-44 years, 45-64 years, and 65+ years).
methodsBased on register information on 47 chronic diseases and conditions, we used latent class analysis to identify multimorbidity classes in a random sample of the Danish population (n = 470,794). Information on sociodemographic characteristics (age, sex, region of origin, educational level, employment status, and marital status) was obtained from registers and linked to the study population. Age- and sex-adjusted multinomial logistic regression models were used to examine associations between multimorbidity classes and sociodemographic characteristics.
resultsWe identified seven classes among individuals in the age groups 45-64 years and 65+ years and five classes in the age group 16-44 years. Overall, the classes were similar in the three age groups, but varied in size, i.e. the class 'No or few diseases' was larger in the younger age group. The class 'Many diseases' (a class with both somatic diseases and mental illnesses) was only seen in individuals aged 45-64 years and 65+ years. There were social inequalities in odds of belonging to the multimorbidity classes compared to the healthier class. These social inequalities varied but were especially strong in the classes named 'Many diseases' and 'Mental illness, epilepsy'.
conclusionThe results of the study suggest that there are social inequalities in multimorbidity but that these inequalities are not universal to all types of multimorbidity. This supports that multimorbidity is diverse and should be prevented and treated accordingly.
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