Title | Adiposity and cognitive decline in the cardiovascular health study. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Luchsinger, JA, Biggs, ML, Kizer, JR, Barzilay, J, Fitzpatrick, A, Newman, A, Longstreth, WT, Lopez, O, Siscovick, D, Kuller, L |
Journal | Neuroepidemiology |
Volume | 40 |
Issue | 4 |
Pagination | 274-81 |
Date Published | 2013 |
ISSN | 1423-0208 |
Keywords | Adiposity, Aged, Aged, 80 and over, Body Mass Index, Cardiovascular Diseases, Cognition Disorders, Electric Impedance, Female, Humans, Male, Risk Factors, Waist Circumference, Waist-Hip Ratio |
Abstract | <p><b>BACKGROUND: </b>Studies relating adiposity to cognition in the elderly show conflicting results, which may be explained by the choice of adiposity measures. Thus, we studied the longitudinal associations of different adiposity measures, fat mass by bioelectrical impedance analysis, body mass index (BMI) and waist circumference (WC), with cognitive performance in the Cardiovascular Health Study.</p><p><b>METHODS: </b>Cognitive performance was assessed with the modified Mini-Mental State Examination, the Digit Symbol Substitution Test, and a composite of both. We used linear mixed models to estimate rates of change in cognitive function scores associated with adiposity measured at baseline.</p><p><b>RESULTS: </b>The final sample was comprised of 2,681 women (57.9%) and 1,949 men (42.1%) aged 73 ± 5.2 and 73.9 ± 5.6 years, respectively. Adiposity was associated with slower cognitive decline in most analyses. Results were similar for fat mass, BMI and WC. Higher fat-free mass was also related to slower cognitive decline. Results were similar in analyses excluding persons with cancer, smokers, and persons with short follow-up, poor self-reported health, or persons with cardiovascular disease.</p><p><b>CONCLUSIONS: </b>Higher adiposity and higher fat-free mass in the elderly was related to better cognitive performance. This finding was not explained by confounding by preexisting conditions.</p> |
DOI | 10.1159/000345136 |
Alternate Journal | Neuroepidemiology |
PubMed ID | 23445925 |
PubMed Central ID | PMC4044822 |
Grant List | N01 HC085086 / HC / NHLBI NIH HHS / United States N01 HC085081 / HC / NHLBI NIH HHS / United States U01 HL080295 / HL / NHLBI NIH HHS / United States N01 HC075150 / HC / NHLBI NIH HHS / United States N01 HC015103 / HC / NHLBI NIH HHS / United States N01 HC085083 / HC / NHLBI NIH HHS / United States AG-15928 / AG / NIA NIH HHS / United States R56 AG020098 / AG / NIA NIH HHS / United States N01 HC085085 / HC / NHLBI NIH HHS / United States P60 MD000206 / MD / NIMHD NIH HHS / United States AG-20098 / AG / NIA NIH HHS / United States P01 AG007232 / AG / NIA NIH HHS / United States N01HC55222 / HL / NHLBI NIH HHS / United States N01-HC-85086 / HC / NHLBI NIH HHS / United States N01HC85086 / HL / NHLBI NIH HHS / United States AG-027058 / AG / NIA NIH HHS / United States N01 HC085082 / HC / NHLBI NIH HHS / United States N01 HC085080 / HC / NHLBI NIH HHS / United States N01 HC-55222 / HC / NHLBI NIH HHS / United States HHSN268201200036C / HL / NHLBI NIH HHS / United States N01-HC-75150 / HC / NHLBI NIH HHS / United States R01 HL080295 / HL / NHLBI NIH HHS / United States R01 AG026413 / AG / NIA NIH HHS / United States N01 HC085084 / HC / NHLBI NIH HHS / United States R01 AG020098 / AG / NIA NIH HHS / United States N01HC75150 / HL / NHLBI NIH HHS / United States HL-080295 / HL / NHLBI NIH HHS / United States N01-HC-85079 / HC / NHLBI NIH HHS / United States HHSN268201200036C / / PHS HHS / United States N01-HC-85239 / HC / NHLBI NIH HHS / United States AG-023629 / AG / NIA NIH HHS / United States N01HC85079 / HL / NHLBI NIH HHS / United States N01 HC085079 / HC / NHLBI NIH HHS / United States R01 AG023629 / AG / NIA NIH HHS / United States R01 AG027058 / AG / NIA NIH HHS / United States N01 HC045133 / HC / NHLBI NIH HHS / United States N01 HC035129 / HC / NHLBI NIH HHS / United States R56 AG023629 / AG / NIA NIH HHS / United States |