@article {6934, title = {Sex, Race, and Age Differences in Observed Years of Life, Healthy Life, and Able Life among Older Adults in The Cardiovascular Health Study.}, journal = {J Pers Med}, volume = {5}, year = {2015}, month = {2015}, pages = {440-51}, abstract = {

OBJECTIVE: Longevity fails to account for health and functional status during aging. We sought to quantify differences in years of total life, years of healthy life, and years of able life among groups defined by age, sex, and race.

DESIGN: Primary analysis of a cohort study.

SETTING: 18 years of annual evaluations in four U.S. communities.

PARTICIPANTS: 5888 men and women aged 65 and older.

MEASUREMENTS: Years of life were calculated as the time from enrollment to death or 18 years. Years of total, healthy, and able life were determined from self-report during annual or semi-annual contacts. Cumulative years were summed across each of the age and sex groups.

RESULTS: White women had the best outcomes for all three measures, followed by white men, non-white women, and non-white men. For example, at the mean age of 73, a white female participant could expect 12.9 years of life, 8.9 of healthy life and 9.5 of able life, while a non-white female could expect 12.6, 7.0, and 8.0 years, respectively. A white male could expect 11.2, 8.1, and 8.9 years of life, healthy life, and able life, and a non-white male 10.3, 6.2, and 7.9 years. Regardless of starting age, individuals of the same race and sex groups spent similar amounts (not proportions) of time in an unhealthy or unable state.

CONCLUSION: Gender had a greater effect on longevity than did race, but race had a greater effect on years spent healthy or able. The mean number of years spent in an unable or sick state was surprisingly independent of the lifespan.

}, issn = {2075-4426}, doi = {10.3390/jpm5040440}, author = {Thielke, Stephen M and Diehr, Paula H and Yee, Laura M and Arnold, Alice M and Qui{\~n}ones, Ana R and Whitson, Heather E and Jacob, Mini E and Newman, Anne B} } @article {7247, title = {Can a Healthy Lifestyle Compress the Disabled Period in Older Adults?}, journal = {J Am Geriatr Soc}, volume = {64}, year = {2016}, month = {2016 Oct}, pages = {1952-1961}, abstract = {

OBJECTIVES: To determine whether lifestyle factors, measured late in life, could compress the disabled period toward the end of life.

DESIGN: Community-based cohort study of older adults followed from 1989 to 2015.

SETTING: Four U.S. communities.

PARTICIPANTS: Community-living men and women aged 65 and older (N = 5,248, mean age 72.7 {\textpm} 5.5, 57\% female, 15.2\% minority) who were not wheelchair dependent and were able to give informed consent at baseline.

MEASUREMENTS: Multiple lifestyle factors, including smoking, alcohol consumption, physical activity, diet, body mass index (BMI), social networks, and social support, were measured at baseline. Activities of daily living (ADLs) were assessed at baseline and throughout follow-up. Years of life (YoL) was defined as years until death. Years of able life (YAL) was defined as years without any ADL difficulty. YAL/YoL\%, the proportion of life lived able, was used to indicate the relative compression or expansion of the disabled period.

RESULTS: The average duration of disabled years was 4.5 (out of 15.4 mean YoL) for women and 2.9 (out of 12.4 mean YoL) for men. In a multivariable model, obesity was associated with 7.3 percentage points (95\% confidence interval (CI) = 5.4-9.2) lower YAL/YoL\% than normal weight. Scores in the lowest quintile of the Alternate Healthy Eating Index were associated with a 3.7\% (95\% CI = 1.6-5.9) lower YAL/YoL\% than scores in the highest quintile. Every 25 blocks walked in a week was associated with 0.5 percentage points (95\% CI = 0.3-0.8) higher YAL/YoL\%.

CONCLUSION: The effects of healthy lifestyle factors on the proportion of future life lived free of disability indicate that the disabled period can be compressed, given the right combination of these factors.

}, issn = {1532-5415}, doi = {10.1111/jgs.14314}, author = {Jacob, Mini E and Yee, Laura M and Diehr, Paula H and Arnold, Alice M and Thielke, Stephen M and Chaves, Paulo H M and Gobbo, Liana Del and Hirsch, Calvin and Siscovick, David and Newman, Anne B} } @article {7567, title = {Age, Race and Gender Factors in Incident Disability.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2017}, month = {2017 Oct 13}, abstract = {

Background: Incident disability rates enable the comparison of risk across populations. Understanding these by age, sex and race is important for planning for the care of older adults and targeting prevention.

Methods: We calculated incident disability rates among older adults in the Cardiovascular Health Study, a study of 5,888 older adults aged >= 65 years over 6 years of follow-up. Disability was defined in 2 ways: 1) self-report of disability (severe difficulty or inability) in any of 6 ADLs, and 2) mobility difficulty (any difficulty walking half a mile or climbing 10 steps). Incident disability rates were calculated as events per 100 person years for age, gender and race groups.

Results: The incidence of ADL disability, and mobility difficulty were 2.7 (2.5-2.8), and 9.8 (9.4 -10.3) events per 100 person years. Women, older participants and blacks had higher rates in both domains.

Conclusion: Incidence rates are considerably different based on the domain examined as well as age, race and gender composition of the population. Prevention efforts should focus on high risk populations and attempt to ameliorate factors that increase risk in these groups.

}, issn = {1758-535X}, doi = {10.1093/gerona/glx194}, author = {Jacob, Mini E and Marron, Megan M and Boudreau, Robert and Odden, Michelle C and Arnold, Alice M and Newman, Anne B} } @article {7671, title = {Association of biomarker and physiologic indices with mortality in older adults: Cardiovascular Health Study.}, journal = {J Gerontol A Biol Sci Med Sci}, year = {2018}, month = {2018 Apr 12}, abstract = {

Background: A goal of gerontology is discovering aging phenotypes that reflect biological aging distinct from disease pathogenesis. Biomarkers strongly and independently associated with mortality and which statistically attenuate chronologic age could be used to define such a phenotype. We determined the association of a Biomarker Index (BI) with mortality and compared it to a validated Physiologic Index (PI) in older adults.

Methods: The indices were constructed in the Cardiovascular Health Study, mean (SD) age 74.5 (5.1) years. The BI incorporated circulating levels of new biomarkers, including insulin-like growth factor (IGF)-1, IGF binding protein 3, amino-terminal pro-B-type natriuretic peptide, dehydroepiandrosterone sulfate, and interleukin-6, and was built in test (N=2197) and validation (N=1124) samples. The PI included carotid intima-media thickness, pulmonary capacity, brain white matter grade, cystatin-C, and fasting glucose. Multivariable Cox proportional hazards models predicting death were calculated with 10 years of follow-up.

Results: In separate age-adjusted models, the hazard ratio (HR) for mortality per point of the BI was 1.30 (95\% CI 1.25, 1.34) and the BI attenuated age by 25\%. The HR for the PI was 1.28 (1.24, 1.33) (29\% age attenuation). In the same model, the HR for the BI was 1.23 (1.18, 1.28) and for the PI was 1.22 (1.17, 1.26), and age was attenuated 42.5\%. Associations persisted after further adjustment.

Conclusions: The BI and PI were significantly and independently associated with mortality. Both attenuated the age effect on mortality substantially. The indices may be feasible phenotypes for developing interventions hoping to alter the trajectory of aging.

}, issn = {1758-535X}, doi = {10.1093/gerona/gly075}, author = {Sanders, Jason L and Arnold, Alice M and Boudreau, Robert M and Hirsch, Calvin H and Kizer, Jorge R and Kaplan, Robert C and Cappola, Anne R and Cushman, Mary and Jacob, Mini E and Kritchevsky, Stephen B and Newman, Anne B} } @article {9108, title = {Associations of modifiable behavioral risk factor combinations at 65-74 years old with cognitive healthspan over 20 years.}, journal = {Psychosom Med}, year = {2022}, month = {2022 Jun 28}, abstract = {

OBJECTIVE: Behavioral risk factors for dementia tend to co-occur and inter-relate, especially poor diet, physical inactivity, sleep disturbances, and depression. Having multiple of these modifiable behavioral risk factors (MBRFs) may predict a particularly shortened cognitive healthspan, and therefore, may signal high-risk status/high intervention need.

METHODS: This secondary analyses of data from the Cardiovascular Health Study included 3149 participants aged 65-74 years (mean age = 69.5, standard deviation (SD) = 2.5; 59.6\% female). MBRF exposures were self-reports regarding: (1) diet, (2) activity, (3) sleep, and (4) depression symptoms. We primarily analyzed MBRF counts. Over up to 26 years of follow-up, we assessed the: (1) number of remaining cognitively healthy life years (CHLYs); and (2) percentage of remaining life years (LYs) that were CHLYs (\%CHLY). We estimated CHLYs as time before a dementia diagnosis, cognitive screener scores indicating impairment, proxy port indicating significant cognitive decline, or dementia medication use.

RESULTS: Participants averaged a remaining 16 LYs (SD = 7), 12.2 CHLYs (SD = 6.6), and 78.1\% of LYs being CHLYs (SD = 25.6). Compared with having no MBRFs, having one was associated with ~1 less LY and CHLY, but not a relatively lower \%CHLY. In contrast, having 3+ MBRFs was associated with about 2-3 fewer LYs and CHLYs as well as about 6\% lower \%CHLY (95\% confidence interval: -9.0, -2.5 \%CHLYs), p = 0.001).

CONCLUSIONS: MBRF-related reductions in the cognitive healthspan are most apparent when people have multiple MBRFs. Future research is needed to determine if/how behavioral risks converge mechanistically, and if dementia prevention efficacy improves when targeting MBRF combinations.

}, issn = {1534-7796}, doi = {10.1097/PSY.0000000000001100}, author = {Smagula, Stephen F and Biggs, Mary L and Jacob, Mini E and Rawlings, Andreea M and Odden, Michelle C and Arnold, Alice and Newman, Anne B and Buysse, Daniel J} }