aceMental Health and Cognitive Predictors of Functional Decline in Nursing Home Residents with Type 2 Diabetes
Objectives To identify multidomain predictors of functional decline among nursing home residents with type 2 diabetes (T2D). Methods A secondary analysis of longitudinal Minimum Data Set 3.0 data from Iowa nursing home residents with T2D was conducted. Three machine learning models were developed to predict functional decline, defined as worsening Activities of Daily Living Long-Form scores between first and last assessments. Predictor variables were guided by the Functional Consequences Theory and represented b…
Machine learning models trained on routine nursing home assessment data predicted functional decline in residents with type 2 diabetes with high accuracy, pointing to modifiable risk factors for early identification.
The study is a secondary analysis of data from Iowa nursing homes, and its implications for interventions are framed as possibilities rather than demonstrated improvements in outcomes.
Evidence
- Peer-reviewedClinical Gerontologist2026-10-01
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Truvace Impact Record TRV-2026-1473, v1: “Mental Health and Cognitive Predictors of Functional Decline in Nursing Home Residents with Type 2 Diabetes.” Truvace, 2026-10-15. /record/TRV-2026-1473 (accessed at citation time). sha256 1c0f46ec914f9b7b…
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