@article {6596, title = {Multisystem physiologic impairments and changes in gait speed of older adults.}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {70}, year = {2015}, month = {2015 Mar}, pages = {319-24}, abstract = {

BACKGROUND: Slowed gait is an important health indicator in older adults but a single identifiable cause is often lacking. We assessed whether a summary index measuring impairments across multiple physiologic systems was associated with slowed gait in older individuals.

METHODS: Data from the Cardiovascular Health Study (n = 3,010) were used to assess associations between baseline physiologic index (measuring vasculature, brain, kidneys, lungs, and glucose metabolism; range 0-10 with 0-2 points/system and lower score indicating higher function) and annual gait speed (m/s) over 6 years. Participants with complete data on the physiologic index and at least two gait speed measures were included. Mean gait speed and 95\% confidence intervals (CI) by category of index were calculated using mixed effects models.

RESULTS: Those with scores of three or higher on the index had significantly slower gait speed at baseline compared to those with scores of 0-2 (7-10: mean speed = 0.83 m/s, 95\% CI: 0.80, 0.84; 0-2: mean speed = 1.01 m/s, 95\% CI: 0.99, 1.03). Those with higher indices also had faster decline in gait speed compared to those with lower scores after adjustment for demographic and health characteristics (7-10: change in speed = -0.020 m/s/year, 95\% CI: -0.024, -0.016; 0-2: change in speed= -0.010 m/s/year, 95\% CI: -0.014, -0.006).

CONCLUSIONS: Greater impairment across five organ systems was associated with slower gait speed and greater declines in gait speed over 6 years. Impairments accumulated over multiple physiologic systems may make older adults more vulnerable to slow gait speed.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Brain, Cardiovascular Physiological Phenomena, Cohort Studies, Female, Gait, Geriatric Assessment, Glucose, Health Status Indicators, Humans, Kidney, Lung, Male, Sensitivity and Specificity, Time Factors}, issn = {1758-535X}, doi = {10.1093/gerona/glu176}, author = {Rosso, Andrea L and Sanders, Jason L and Arnold, Alice M and Boudreau, Robert M and Hirsch, Calvin H and Carlson, Michelle C and Rosano, Caterina and Kritchevsky, Stephen B and Newman, Anne B} } @article {6928, title = {Social Network Size and Cranial Magnetic Resonance Imaging Findings in Older Adults: The Cardiovascular Health Study.}, journal = {J Am Geriatr Soc}, volume = {63}, year = {2015}, month = {2015 Nov}, pages = {2430-2}, keywords = {Aged, Brain, Cardiovascular Diseases, Cross-Sectional Studies, Female, Geriatric Assessment, Humans, Magnetic Resonance Imaging, Male, Neuroimaging, Social Participation, Social Support}, issn = {1532-5415}, doi = {10.1111/jgs.13805}, author = {Flatt, Jason D and Rosso, Andrea L and Aizenstein, Howard J and Schulz, Richard and Longstreth, W T and Newman, Anne B and Fowler, Nicole R and Rosano, Caterina} } @article {9737, title = {Associations between toxicity-weighted concentrations and dementia risk: Results from the Cardiovascular Health Cognition Study.}, journal = {Sci Total Environ}, volume = {945}, year = {2024}, month = {2024 Oct 01}, pages = {173706}, abstract = {

BACKGROUND: Air pollution is a modifiable risk factor for dementia. Yet, studies on specific sources of air pollution (i.e., toxic chemical emissions from industrial facilities) and dementia risk are scarce. We examined associations between toxicity-weighted concentrations of industrial pollution and dementia outcomes among a large, multi-site cohort of older adults.

METHODS: Participants (n~=~2770) were~>=~65~years old (Mean~=~75.3, SD~=~5.1~years) from the Cardiovascular Health Cognition Study (1992-1999). Toxicity-weighted concentrations were estimated using the Risk Screening Environmental Indicator (RSEI) model which incorporates total reported chemical emissions with toxicity, fate, and transport models. Estimates were aggregated to participants{\textquoteright} baseline census tract, averaged across 1988-1992, and log2-transformed. Dementia status was clinically adjudicated in 1998-1999 and categorized by subtype (Alzheimer{\textquoteright}s, vascular, mixed). We assessed whether RSEI-estimated toxicity-weighted concentrations were associated with 1) odds of prevalent dementia and 2) incident dementia risk by subtype.

RESULTS: After adjusting for individual and census-tract level covariates, a doubling in toxicity-weighted concentrations was associated with 9~\% higher odds of prevalent dementia (OR~=~1.09, 95~\% CI: 1.00, 1.19). In discrete-time survival models, each doubling in toxicity-weighted concentrations was associated with a 16~\% greater hazard of vascular dementia (HR~=~1.16, 95~\% CI: 1.01, 1.34) but was not significantly associated with all-cause, Alzheimer{\textquoteright}s disease, or mixed dementia (p{\textquoteright}s~>~0.05).

DISCUSSION: Living in regions with higher toxicity-weighted concentrations was associated with higher odds of prevalent dementia and a higher risk of incident vascular dementia in this large, community-based cohort of older adults. These findings support the need for additional studies to examine whether toxic chemical emissions from industrial and federal facilities may be a modifiable target for dementia prevention.

}, keywords = {Aged, Aged, 80 and over, Air Pollutants, Air Pollution, Dementia, Environmental Exposure, Female, Humans, Male, Risk Factors}, issn = {1879-1026}, doi = {10.1016/j.scitotenv.2024.173706}, author = {Crane, Breanna M and Moored, Kyle D and Donahue, Patrick T and Corrigan, Anne E and Curriero, Frank C and Shields, Timothy M and Desjardins, Michael R and Richards, Emily A and Rosso, Andrea L and Lovasi, Gina S and Odden, Michelle C and Lopez, Oscar L and Biggs, Mary Lou and Newman, Anne B and Andrews, Ryan M and Carlson, Michelle C} }