Michal Schnaider Beeri1,2, Amir Tirosh3, Hung-Mo Lin4, Sapir Golan2, Ethel Boccara2, Mary Sano1,5, Carolyn W Zhu6,5. 1. Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, USA. 2. The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel. 3. Division of Endocrinology, Diabetes and Metabolism, Sheba Medical Center, Ramat Gan, Israel. 4. Department of Health Population Sciences and Policy, Center of Biostatistics, Icahn School of Medicine, Mount Sinai, USA. 5. GRECC, James J Peters VA Medical Center, Bronx, New York, USA. 6. Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, Mount Sinai, USA.
Abstract
OBJECTIVE: Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. METHODS: We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). RESULTS: Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. CONCLUSIONS: Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.
OBJECTIVE: Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. METHODS: We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). RESULTS: Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. CONCLUSIONS: Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.
Authors: Timo E Strandberg; Sari Stenholm; Arto Y Strandberg; Veikko V Salomaa; Kaisu H Pitkälä; Reijo S Tilvis Journal: Am J Epidemiol Date: 2013-09-05 Impact factor: 4.897
Authors: Tamara Tchkonia; Dean E Morbeck; Thomas Von Zglinicki; Jan Van Deursen; Joseph Lustgarten; Heidi Scrable; Sundeep Khosla; Michael D Jensen; James L Kirkland Journal: Aging Cell Date: 2010-08-15 Impact factor: 9.304
Authors: Rebecca West; Michal Schnaider Beeri; James Schmeidler; Christine M Hannigan; Gary Angelo; Hillel T Grossman; Clive Rosendorff; Jeremy M Silverman Journal: Am J Geriatr Psychiatry Date: 2008-09 Impact factor: 4.105