TY - JOUR
T1 - Diabetes, Heart Disease, and Dementia
T2 - National Estimates of Functional Disability Trajectories
AU - MacNeil Vroomen, Janet L.
AU - Han, Ling
AU - Monin, Joan K.
AU - Lipska, Kasia J.
AU - Allore, Heather G.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - Objectives: To estimate the associations between diabetes, heart disease, and dementia, which may increase the difficulty of self-care; model functional disability trajectories jointly with attrition (death or dropout) over 5 years. Design: Population-based complex survey design. Setting: National Health and Aging Trends Study. Participants: Community-dwelling Medicare beneficiaries aged 65 and older (N=7,609). Measurements: National estimates were generated using sampling weights. Sociodemographic characteristics, self-reported physician-diagnosed chronic conditions, six activities of daily living (ADL), and cognitive status were ascertained in annual in-person interviews. A joint model using group-based trajectory modeling was used to estimate the number of ADL disabilities and attrition probability. Multinomial logistic regression with survey weights was used to estimate the association between diabetes, heart disease, and dementia and resultant trajectories of disability, with the least disabled trajectory used as a reference. Results: Three functional disability trajectories were identified: 26.9 million (76.3%) individuals with no disability and a constant study attrition of 14.3%, 4.9 million (13.9%) with mild and increasing disability and 12% attrition in 2012 and 27.2% in 2015, and 3.4 million (9.7%) with severe and increasing disability and 25.4% attrition in 2012 and 35% in 2015. Persons with possible dementia, possible dementia and diabetes, or possible dementia with diabetes and heart disease had significantly greater odds of being on the mild disability trajectory than those with no disability. Persons with probable dementia, representing more than 1.5 million persons, regardless of concurrent conditions, had significantly greater odds of being on the severe disability trajectory than on the no disability trajectory. Conclusions: Methods that generate national estimates and account for attrition and for multiple chronic conditions and cognitive status may be useful for health policy-makers to make decisions on care provisions and services.
AB - Objectives: To estimate the associations between diabetes, heart disease, and dementia, which may increase the difficulty of self-care; model functional disability trajectories jointly with attrition (death or dropout) over 5 years. Design: Population-based complex survey design. Setting: National Health and Aging Trends Study. Participants: Community-dwelling Medicare beneficiaries aged 65 and older (N=7,609). Measurements: National estimates were generated using sampling weights. Sociodemographic characteristics, self-reported physician-diagnosed chronic conditions, six activities of daily living (ADL), and cognitive status were ascertained in annual in-person interviews. A joint model using group-based trajectory modeling was used to estimate the number of ADL disabilities and attrition probability. Multinomial logistic regression with survey weights was used to estimate the association between diabetes, heart disease, and dementia and resultant trajectories of disability, with the least disabled trajectory used as a reference. Results: Three functional disability trajectories were identified: 26.9 million (76.3%) individuals with no disability and a constant study attrition of 14.3%, 4.9 million (13.9%) with mild and increasing disability and 12% attrition in 2012 and 27.2% in 2015, and 3.4 million (9.7%) with severe and increasing disability and 25.4% attrition in 2012 and 35% in 2015. Persons with possible dementia, possible dementia and diabetes, or possible dementia with diabetes and heart disease had significantly greater odds of being on the mild disability trajectory than those with no disability. Persons with probable dementia, representing more than 1.5 million persons, regardless of concurrent conditions, had significantly greater odds of being on the severe disability trajectory than on the no disability trajectory. Conclusions: Methods that generate national estimates and account for attrition and for multiple chronic conditions and cognitive status may be useful for health policy-makers to make decisions on care provisions and services.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045511230&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/29521414
U2 - https://doi.org/10.1111/jgs.15284
DO - https://doi.org/10.1111/jgs.15284
M3 - Article
C2 - 29521414
SN - 0002-8614
VL - 66
SP - 766
EP - 772
JO - Journal of the American Geriatrics Society
JF - Journal of the American Geriatrics Society
IS - 4
ER -