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. 2018 Sep 1;16(2):181-192.
doi: 10.1007/s10433-018-0485-0. eCollection 2019 Jun.

The current and projected burden of multimorbidity: a cross-sectional study in a Southern Europe population

Affiliations

The current and projected burden of multimorbidity: a cross-sectional study in a Southern Europe population

P A Laires et al. Eur J Ageing. .

Abstract

In a context of increasing ageing of the population, it is crucial to better understand multimorbidity and its consequences. This study measured the prevalence of multimorbidity in a Southern Europe population and projected its evolution based on expected demographic changes. It also analysed its associated consequences on self-reported health status, functional capacity, and healthcare use. Our sample included all people aged 25-79 years (6679 men and 8517 women) who participated in the fifth Portuguese National Health Interview Survey, conducted in 2014. Multimorbidity was measured by the presence of at least two self-reported chronic conditions. Multivariable regressions were used to assess the association of multimorbidity with health status, functional capacity, and healthcare use. The projected evolution of multimorbidity was based on official demographic projections. 43.9% of the Portuguese population self-reported the multimorbidity, which was more frequent among older people, women, and low-educated people. We found an association of multimorbidity with poorer health status (OR 3.32, 95%CI 2.60-4.24) and with limited functional capacity (OR 4.44, 95%CI 3.85-5.11). Multimorbidity was also associated with higher healthcare resource use, namely a 26% increased likelihood of hospitalization in the previous 12 months per additional comorbidity. We projected a 13.1% growth in the prevalence of multimorbidity until the year 2050. Multimorbidity affects a substantial share of the population and is expected to grow in the near future related to population ageing. The co-occurrence of chronic health conditions increases sharply with age and is associated with worse health status, reduced functional capacity, and increased healthcare use.

Keywords: Ageing; Chronic health conditions; Multimorbidity; National Health Survey.

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Conflict of interest statement

Compliance with ethical standardsPedro Laires is a Novartis employee. The current project was, however, developed during his postdoctoral internship at Nova University and was totally unrelated to any Novartis product or Grant.

Figures

Fig. 1
Fig. 1
Prevalence of multimorbidity and the number of chronic health conditions by age group
Fig. 2
Fig. 2
Age, sex, education, income, and region-adjusted prevalence of health status, functional capacity, and healthcare use by number of chronic health conditions. HCRU healthcare resource use, GP general practitioner
Fig. 3
Fig. 3
Number of chronic health conditions and multimorbidity projections 2014–2050. *Baseline: based on the “central scenario” from the INE - Resident Population Projections, which in turn combines the central assumption for the fertility component, the central assumption for the mortality component, and a positive net migration. Negative outlook: based on the “low scenario”, which in turn uses the pessimistic assumption for the fertility component, the central assumption for the mortality component, and a negative net international migration. Positive outlook: based on the “high scenario”, which in turn combines the optimistic assumptions for both the fertility component and the mortality component and a positive net migration (European Commission 2015)

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