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Published on: January 29, 2014
Heterogeneity in age at death for adults with developmental disability
S D Landes1, J D Stevens1, M A Turk2
1Department of Sociology and Aging Studies Institute, Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY, USA.
Adults with developmental disabilities have a lower age at death, with significant variations by disability type and sex. Intellectual disability shows the highest age at death, while cerebral palsy has the lowest.
Area of Science:
- Public Health
- Gerontology
- Disability Studies
Background:
- Mortality trends for adults with developmental disabilities are increasingly studied.
- Previous research has not differentiated age at death by specific disability types.
- Understanding heterogeneity in mortality is crucial for targeted interventions.
Purpose of the Study:
- To investigate variations in age at death among adults with different types of developmental disabilities.
- To determine if heterogeneity exists in mortality patterns across diverse developmental disabilities.
- To inform public health strategies by accounting for disability-specific mortality differences.
Main Methods:
- Analysis of U.S. Multiple Cause-of-Death Mortality files (2012-2016).
- Examination of mean age at death and age distributions for adults (18-126 years).
- Stratification of data by developmental disability type and biological sex.
Main Results:
- Adults with developmental disabilities had a lower mean age at death compared to those without.
- Significant variations in age at death were observed across different developmental disability types and sexes.
- Individuals with intellectual disability had the highest age at death, whereas those with cerebral palsy or rare developmental disabilities had the lowest.
Conclusions:
- Age at death research for adults with developmental disabilities must acknowledge heterogeneity among disability types.
- Failure to account for these differences can lead to inaccurate public health and preventive care guidance.
- Recognizing disability-specific mortality patterns is essential for effective support and premature mortality reduction efforts.
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