Elevated All-Cause Mortality among Overweight Older People: AI Predicts a High Normal Weight Is Optimal

It has been proposed that being overweight may provide an advantage with respect to mortality in older people, although this has not been investigated fully. Therefore, to confirm that and elucidate the underlying mechanism, we investigated mortality in older people using explainable artificial inte...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Geriatrics (Basel) 2022-06, Vol.7 (3), p.68
Hauptverfasser: Nakajima, Kei, Yuno, Mariko
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:It has been proposed that being overweight may provide an advantage with respect to mortality in older people, although this has not been investigated fully. Therefore, to confirm that and elucidate the underlying mechanism, we investigated mortality in older people using explainable artificial intelligence (AI) with the gradient-boosting algorithm XGboost. Baseline body mass indexes (BMIs) of 5699 people (79.3 ± 3.9 years) were evaluated to determine the relationship with all-cause mortality over eight years. In the unadjusted model, the first negative (protective) BMI range for mortality was 25.9−28.4 kg/m2. However, in the adjusted cross-validation model, this range was 22.7−23.6 kg/m2; the second and third negative BMI ranges were then 25.8−28.2 and 24.6−25.8 kg/m2, respectively. Conversely, the first advancing BMI range was 12.8−18.7 kg/m2, which did not vary across conditions with high feature importance. Actual and predicted mortality rates in participants aged
ISSN:2308-3417
2308-3417
DOI:10.3390/geriatrics7030068