Assessment & Research

Adults with Down syndrome: a comprehensive approach to manage complexity.

Carfì et al. (2019) · Journal of intellectual disability research : JIDR 2019
★ The Verdict

Adults with Down syndrome carry a nursing-home-level list of illnesses while living at home—use broad assessment tools early.

✓ Read this if BCBAs serving adults with Down syndrome in residential or day-program settings.
✗ Skip if Clinicians who work only with young children or mild ID without DS.

01Research in Context

01

What this study did

The team looked at 430 adults with Down syndrome in three countries. They listed every geriatric and medical problem each person had. The goal was to see how many conditions pile up and to test if the interRAI-ID assessment could capture the load.

02

What they found

Almost every adult had several "old-age" illnesses at once. Memory loss, low thyroid, vision loss, and heart problems showed up together. The pattern looked like the complex caseload you see in nursing homes, not in adults under 65.

03

How this fits with other research

Tenenbaum et al. (2012) already showed these adults land in hospital twice as often as peers. The new study adds the outpatient view: the same group is carrying a nursing-home-level list of diagnoses while living at home.

Lin et al. (2015) link those early aging conditions to real-life trouble. Each extra condition predicts poorer cooking, dressing, and money skills. Pitchford et al. (2019) now show how common those conditions are, giving you a head-count before function drops.

Byiers et al. (2025) reveal another layer. Adults with more adverse childhood events react harder to everyday stress and show more anxiety and depression. Put together: medical complexity plus trauma history equals high behavioral risk. Screen for both.

04

Why it matters

You now know the typical adult with Down syndrome is medically complex before they look sick. Use a wide-angle tool like interRAI-ID at intake. Add ACE screening to catch the behavioral piece. Early mapping lets you flag thyroid, vision, cardiac, and mental-health needs before crisis hits.

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Add thyroid, vision, and ACE questions to your intake form for every adult with Down syndrome.

02At a glance

Intervention
not applicable
Design
other
Sample size
430
Population
down syndrome
Finding
not reported

03Original abstract

BACKGROUND: Down syndrome (DS) is characterised by premature ageing that affects selected organ systems, and persons with this condition can present patterns of co-morbidities and deficits often observed in the older population without DS. However, information on the characteristics of adult persons with DS is limited. The objective of the study is to describe characteristics of adults with DS collected with a standardised, comprehensive assessment instrument. METHODS: Cross-sectional study. Four hundred thirty adults with DS (age range 18/75 years) from three countries (Italy, n = 95; USA, n = 175; and Canada, n = 160). A standardised assessment instrument (interRAI intellectual disability) was used to assess sample characteristics. RESULTS: Mean age ranged from 35.2 (standard deviation 12.0) years in the US sample to 48.8 (standard deviation 9.0) years in the Canadian sample. Most participants in the Italian and US sample were living in private homes, while more than half of those in the Canadian sample were institutionalised. Prevalences of geriatric conditions, including cognitive deficits, disability in the common activities of daily living, symptoms of withdrawal or anhedonia, aggressive behaviour, communication problems, falls and hearing problems were high in the study sample. Gastrointestinal symptoms, skin and dental problems and obesity were also frequently observed. CONCLUSIONS: Adults with DS present with a high level of complexity, which may suggest the need for an approach based on a comprehensive assessment and management that can provide adequate care. Further research is needed to understand better the effectiveness of such an approach in the DS population.

Journal of intellectual disability research : JIDR, 2019 · doi:10.1111/jir.12588