Relationship between body composition and mortality in older patients with mild cognitive impairment and Alzheimer's disease: NCGG-STORIES.

Authors

Kazuaki Uchida, Taiki Sugimoto, Takeshi Nakagawa, Taiji Noguchi, Ayane Komatsu, Rei Ono, Yoko Yokoyama, Ayaka Onoyama, Takashi Sakurai, Tami Saito

Published in

Journal of Alzheimer's disease : JAD. Pages 13872877261476079. Aug 17, 2026. Epub Aug 17, 2026.

Abstract

BackgroundAlthough a lower body mass index (BMI) has been identified as a prognostic risk factor among older adults with cognitive impairment, it remains unclear which body composition are associated with prognosis.ObjectiveThis study investigated the relationship between body composition and mortality in older adults with mild cognitive impairment (MCI) and Alzheimer's disease (AD).MethodsThis longitudinal study, using data from a memory clinic in Japan, included patients aged ≥65 years who were clinically diagnosed with MCI or AD. Mortality data (date and cause of death) were obtained using a proxy questionnaire. Body composition (muscle mass, fat-free mass, fat mass, %FM) was measured using bioelectrical impedance analysis, and muscle mass index (MMI), fat-free mass index (FFMI) and fat mass index (FMI) were calculated. Body composition index was divided into tertiles (lowest, middle, and highest). To evaluate associations between body composition and mortality, we conducted survival analyses using Cox proportional hazards model (ref. lowest group).ResultsA total of 1575 patients were included in the analysis (mean age, 78.2 years; 63.2% women). The highest FMI and %FM groups had a lower risk of mortality than that in the lowest group (hazard ratio [95% confidence interval]: FMI, 0.55 [0.37-0.81]; %FM, 0.49 [0.33-0.71]), and this association was significant in women with MCI and AD. No significant associations were observed between MMI, FFMI, and mortality.ConclusionsLower FM may be a potential risk factor for poor prognosis, emphasizing the need to monitor it from an early stage of cognitive decline.

PMID:
42606290
Bibliographic data and abstract were imported from PubMed on 17 Aug 2026.

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