Multimorbidity in older adults with intellectual disabilities

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Highlights

  • Multimorbidity is prevalent in 80% of the older adults with ID.

  • Multimorbidity is associated with age and severity of intellectual disability.

  • Having ≥4 chronic conditions was associated with Down syndrome.

Abstract

Multimorbidity may be related to the supposed early aging of people with intellectual disabilities (ID). This group may suffer more often from multimorbidity, because of ID-related physical health conditions, unhealthy lifestyle and metabolic effects of antipsychotic drug use. Multimorbidity has been defined as two or more chronic conditions. Data on chronic conditions have been collected through physical assessment, questionnaires, and medical files. Prevalence, associated factors and clusters of multimorbidity have been studied in 1047 older adults (≥50 years) with ID. Multimorbidity was prevalent in 79.8% and associated with age and severe/profound ID. Four or more conditions were prevalent in 46.8% and associated with age, severe/profound ID and Down syndrome. Factor analyses did not reveal a model for disease-clusters with good fit. Multimorbidity is highly prevalent in older adults with ID. Multimorbidity should receive more attention in research and clinical practice for targeted pro-active prevention and treatment.

Introduction

It has long been a common understanding, that people with intellectual disabilities (ID) ‘are old from the age of 50 years onwards’ (Perkins and Moran, 2010, Roth et al., 1996). Nevertheless, apart from people with Down syndrome (Roth et al., 1996), premature aging has never been scientifically confirmed for this group. Geriatric frailty occurs early in the population with ID (Evenhuis, Hermans, Hilgenkamp, Bastiaanse, & Echteld, 2012) and is considered to be a risk factor for subsequent deterioration of health and independence (Fried et al., 2001), occurs early in the population with ID. Their mean frailty index scores at age 50–59 years are comparable to those in the general population aged 70–79 years (Schoufour, Mitnitski, Rockwood, Evenhuis, & Echteld, 2013). This early occurrence of frailty might be an explanation for the perceived early aging.

Frailty might be partly caused by multimorbidity, which refers to the occurrence of two or more chronic conditions. The prevalence of multimorbidity has been extensively studied in older people with normal intelligence (Glynn et al., 2011, Schram et al., 2008, Van Oostrom et al., 2011). The results of these studies imply that prevalence increases with age and is related to female gender, lower education and low social-economic status (Marengoni et al., 2008, Salisbury et al., 2011, Tucker-Seeley et al., 2011, Uijen and van de Lisdonk, 2008). Despite the numerous studies, treatment options are still vague. Physicians seem to treat each disease separately and show little attention for the synergy between different diseases (Bower et al., 2012), whereas lack of good treatment causes ongoing functional decline, impaired quality of life and early death (Drewes et al., 2011, Fortin et al., 2006, Hunger et al., 2011, Landi et al., 2010).

People with ID seem to have an increased risk of chronic multimorbidity (McCarron et al., 2013) for several reasons. Multimorbidity may start at a young age, with conditions related to brain damage, impaired brain development, and etiologic syndromes. For example, people with cerebral palsy often have motor impairment, epilepsy and other neurologic problems (Arvio & Sillanpaa, 2003). What is more, risks to develop age-related conditions may be different because of superpositioning on childhood conditions and other unfavorable factors (De Winter, Bastiaanse, Hilgenkamp, Evenhuis, & Echteld, 2012). For instance, an increased risk of cardiovascular risk factors is found both in young and older adults with ID (De Winter et al., 2012, Emerson, 2005, Haveman et al., 2011). This may not only be attributable to an unhealthy lifestyle, but also to metabolic effects of antipsychotic drug use (De Kuijper et al., 2013) and fragmented sleep–wake rhythms (Maaskant, van de Wouw, van Wijck, Evenhuis, & Echteld, 2013).

Nevertheless, medical care for this group is primarily reactive, i.e. if complaints or observed symptoms are brought to the attention of the physician (Lennox, Diggens, & Ugoni, 1997). Multimorbidity and frail unhealthy life-years may be delayed by treating conditions that are to be expected during early and later adulthood, as well as anticipating healthcare, aimed at prevention and pro-active diagnosis. Consequently, healthcare costs will decrease because of less dependency caused by additional diseases.

To improve healthcare for people with ID, more knowledge on multimorbidity is necessary (McCarron et al., 2013). Therefore, we studied the prevalence and associated factors of chronic multimorbidity in the broad client population, aged 50 years and over, of Dutch intellectual disability service providers. We have also studied the presence of meaningful clusters of multimorbidity, as a basis for anticipating healthcare.

Section snippets

Design and study population

This study was part of the cross-sectional ‘Healthy Ageing and Intellectual Disabilities’ (HA-ID) study. This study has been performed in a consort of three large formal ID service providers in the south and west of the Netherlands in both rural and urban environments. These service providers provide care (e.g. washing, nursing) and support (e.g. helping with finances, housekeeping) to a broad spectrum of clients. They cover different levels of support needs: centralized residential

Results

Data on two or more of the chronic conditions were available for 1047 participants with a mean age of 60.9 years (s.d. = 8.1). The characteristics of the study population are described in Table 2. Non-participants (n = 1275) and participants (n = 1047) were not significantly different for age (t = 1.16, df = 2320, p = 0.25), but men (χ2 = 5.10, df = 1, p = 0.02) and people living independently (χ2 = 90.11, df = 4, p = 0.00) were underrepresented in the sample. In the total study sample, the mean number of chronic

Discussion

The results of this study show that multimorbidity (≥2 conditions) is a large problem in older adults (≥50 years) with ID, affecting 80% of the population. Moreover, 47% of the older adults with ID had four or more chronic conditions. As was to be expected, multimorbidity rates increase with age. In addition to this, people with severe or profound ID suffer more often from multimorbidity (both ≥2 and ≥4 conditions) and people with Down syndrome had more often four or more conditions.

Acknowledgements

We thank the participants and professionals of the participating ID service providers, Abrona, Amarant, and Ipse de Bruggen, for their enthusiastic cooperation in this study.

References (52)

  • A. Oppewal et al.

    Feasibility and outcomes of the Berg Balance Scale in older adults with intellectual disabilities

    Research in Developmental Disabilities

    (2013)
  • H. Ring et al.

    Interactions between seizure frequency, psychopathology, and severity of intellectual disability in a population with epilepsy and a learning disability

    Epilepsy & Behavior

    (2007)
  • J.D. Schoufour et al.

    Development of a frailty index for older people with intellectual disabilities: Results from the HA-ID study

    Research in Developmental Disabilities

    (2013)
  • M.T. Schram et al.

    Setting and registry characteristics affect the prevalence and nature of multimorbidity in the elderly

    Journal of Clinical Epidemiology

    (2008)
  • M. Arvio et al.

    Prevalence, aetiology and comorbidity of severe and profound intellectual disability in Finland

    Journal of Intellectual Disability Research

    (2003)
  • C.J. Bohmer et al.

    The prevalence of constipation in institutionalized people with intellectual disability

    Journal of Intellectual Disability Research

    (2001)
  • P. Bower et al.

    Illness representations in patients with multimorbid long-term conditions: Qualitative study

    Psychological Health

    (2012)
  • M.W. Brown et al.

    Alternative ways of assessing model fit

    Sociological Methods and Research

    (1992)
  • D. Campbell-Scherer

    Multimorbidity: A challenge for evidence-based medicine

    Evidence-Based Medicine

    (2010)
  • T.A. Craney et al.

    Model-dependent variance inflation factor cutoff values

    Quality Engineering

    (2007)
  • A. De Bildt et al.

    Prevalence of pervasive developmental disorders in children and adolescents with mental retardation

    Journal of Child Psychology and Psychiatry

    (2005)
  • C.F. De Winter et al.

    Physical conditions and challenging behaviour in people with intellectual disability: A systematic review

    Journal of Intellectual Disability Research

    (2011)
  • Y.M. Drewes et al.

    The effect of cognitive impairment on the predictive value of multimorbidity for the increase in disability in the oldest old: The Leiden 85-plus Study

    Age and Ageing

    (2011)
  • C.D. Economos et al.

    Precision of Lunar Achilles+ bone quality measurements: Time dependency and multiple machine use in field studies

    British Journal of Radiology

    (2007)
  • E. Emerson

    Underweight, obesity and exercise among adults with intellectual disabilities in supported accommodation in Northern England

    Journal of Intellectual Disability Research

    (2005)
  • A.J. Esbensen et al.

    Reliability and validity of an assessment instrument for anxiety, depression, and mood among individuals with mental retardation

    Journal of Autism and Developmental Disorders

    (2003)
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