@article {1075, title = {Long-term function in an older cohort--the cardiovascular health study all stars study.}, journal = {J Am Geriatr Soc}, volume = {57}, year = {2009}, month = {2009 Mar}, pages = {432-40}, abstract = {

OBJECTIVES: To evaluate shared and unique risk factors for maintaining physical and cognitive function into the ninth decade and beyond.

DESIGN: Longitudinal cohort study.

SETTING: Four U.S. communities.

PARTICIPANTS: One thousand six hundred seventy-seven participants in the Cardiovascular Health Study All Stars Study, assessed in 2005/06. Median age was 85 (range 77-102), 66.5\% were women, and 16.6\% were black.

MEASUREMENTS: Intact function was defined as no difficulty with any activities of daily living and a score of 80 or higher on the Modified Mini-Mental State Examination. Baseline characteristics assessed in 1992/93 included demographics, behavioral health factors, chronic disease history, subclinical disease markers, cardiovascular risk factors, and inflammatory markers. Multinomial logistic regression was used to compare risk for physical disability, cognitive impairment,and combined impairments with no functional impairment.

RESULTS: Of the 1,677 participants evaluated in both domains, 891 (53\%) were functionally intact. Continuous measures of function, including the Digit Symbol Substitution Test and gait speed, showed that all groups, including the most functional, had declined over time. The functional group had less decline but also tended to have higher starting values. Functional individuals had a higher baseline health profile than those with either or cognitive impairment or both impairments combined. Women and individuals with greater weight had higher rates of physical impairment but not cognitive impairment. Risk factors common to both types of impairment included cardiovascular disease and hypertension.

CONCLUSION: Intact function was found in only approximately half of these older adults in the ninth decade and beyond. High baseline function and low vascular disease risk characterized functional aging.

}, keywords = {Activities of Daily Living, Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Attention, Cardiovascular Diseases, Chronic Disease, Cohort Studies, Comorbidity, Cross-Sectional Studies, Female, Follow-Up Studies, Gait, Geriatric Assessment, Hand Strength, Health Surveys, Humans, Male, Memory, Short-Term, Mental Status Schedule, Proportional Hazards Models, Psychometrics, Risk Factors, United States}, issn = {1532-5415}, doi = {10.1111/j.1532-5415.2008.02152.x}, author = {Newman, Anne B and Arnold, Alice M and Sachs, Michael C and Ives, Diane G and Cushman, Mary and Strotmeyer, Elsa S and Ding, Jingzhong and Kritchevsky, Stephen B and Chaves, Paulo H M and Fried, Linda P and Robbins, John} } @article {6000, title = {Do changes in circulating biomarkers track with each other and with functional changes in older adults?}, journal = {J Gerontol A Biol Sci Med Sci}, volume = {69}, year = {2014}, month = {2014 Feb}, pages = {174-81}, abstract = {

BACKGROUND: It is unclear if changes in proposed circulating biomarkers of aging are strongly correlated to each other or functional change. We tested if biomarker changes track with each other and with functional measures over 9 years in older adults.

METHODS: Dehydroepiandrosterone sulfate (DHEAS), adiponectin, insulin-like growth factor 1 (IGF-1), IGF binding proteins 1 (IGFBP-1) and 3 (IGFBP-3), interleukin-6 (IL-6), cholesterol, and function (gait speed, grip strength, Modified Mini Mental Status Exam [3MSE] and Digit Symbol Substitution Test [DSST] scores) were measured in 1996-1997 and 2005-2006 in the Cardiovascular Health Study All Stars study (N = 901, mean [standard deviation, SD] age 85.3 [3.6] years in 2005-2006). Adjusted Pearson correlations illustrated if biomarkers tracked together. Multivariable linear regression demonstrated if biomarker changes tracked with functional changes.

RESULTS: Correlations among biomarker changes were mostly <0.2. In models with each biomarker entered separately, a 1-SD increase biomarker change was associated with change in function as follows: grip strength (DHEAS β = 0.61kg, p = .001; IL-6 β = -0.46kg, p = .012; cholesterol men β = 0.79kg, p = .016); gait speed (DHEAS β = 0.02 meters per second, p = .039; IL-6 β = -0.018 meters per second, p = .049); and DSST score (DHEAS women β = 1.46, p = .004; IL-6 β = -0.83, p = .027). When biomarkers were entered in the same model, significant associations remaining were as follows: grip strength (DHEAS β = 0.54kg, p = .005; IL-6 β = -0.43kg, p = .022); 3MSE score (IGF-1 β = 0.96, p = .04; IGFBP-3 β = -1.07, p = .024); and DSST score (DHEAS women β = 1.27, p = .012; IL-6 β = -0.80, p = .04).

CONCLUSION: Changes in biomarkers were poorly correlated, supporting a model of stochastic, independent change across systems. DHEAS and IL-6 tracked most closely with function, illustrating that changes in inflammation and sex steroids may play dominant roles in changes of these functional outcomes.

}, keywords = {Adiponectin, Aged, Aged, 80 and over, Aging, Biomarkers, Cholesterol, Cognition, Cohort Studies, Dehydroepiandrosterone Sulfate, Female, Gait, Hand Strength, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Interleukin-6, Male, Neuropsychological Tests, Psychomotor Performance, Time Factors}, issn = {1758-535X}, doi = {10.1093/gerona/glt088}, author = {Sanders, Jason L and Ding, Victoria and Arnold, Alice M and Kaplan, Robert C and Cappola, Anne R and Kizer, Jorge R and Boudreau, Robert M and Cushman, Mary and Newman, Anne B} }