PTOTCohortJournal of the American Medical Directors Association2025

Development of Prediction Models for Healthy Ageing in Community-Dwelling Middle-Aged and Older Adults: A Longitudinal Study Using Machine Learning.

Daniel E C Leme, Adriane R Costodio, Cesar de Oliveira and 1 others

PMID 40945924

WHAT IT FOUND

Older adults predicted to age healthily had higher household wealth, younger age, internet use, normal chair-rise speed, physical activity, no pain, high life satisfaction, and no abdominal obesity.

Key findings

01The random forest model was the best performer, with a ROC area of 0.78 and the highest positive predictive value reported.

02Household wealth, chronological age, internet use, physical performance, life satisfaction, physical activity, balance, pain status, and abdominal obesity were the most significant predictors.

03Higher household wealth, perceived and chronological age 50 to 59 years, normal physical performance, absence of pain, and extreme life satisfaction contributed positively; physical inactivity, lack of internet or email use, and abdominal obesity contributed negatively.

STILL TO COME

How it was doneWhat they foundWhat it means for PTsWhat it means for OTs

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What it does not show

Many predictors were self-reported, so measurement error may bias the results. The healthy ageing definition did not cover all WHO criteria and missed some chronic diseases. Follow-up was only four years, which may not capture longer-term healthy ageing changes. Participants lost to follow-up may differ from those retained, introducing bias. The models were not externally validated in another dataset. The outcome was imbalanced, with fewer healthy ageing cases, which can affect some model metrics. The study is predictive and observational, so it does not show that changing a predictor causes healthy ageing.

Declared interests

The authors declared no conflicts of interest. The article is listed as having non-U.S. government research support.

The easy way to misread this

Do not conclude that changing household wealth, internet use, chair-rise performance, physical activity, balance, pain, or abdominal obesity will cause healthy ageing. This was a prediction model in one observational dataset, and the models were tested only internally.

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