scholarly journals QUANTIFICATIONS OF BIOLOGICAL AGING PREDICT DISABILITY AND MORTALITY IN OLDER ADULTS IN THE DUKE EPESE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S90-S90
Author(s):  
Daniel C Parker ◽  
Virginia B Kraus ◽  
Daniel Belsky

Abstract Methods to quantify biological aging have been proposed to measure age-related decline in system integrity for population surveillance and evaluation of geroprotective therapies. However, quantifications of biological aging have been little-studied in geriatric populations. We conducted analysis of three clinical-biomarker-algorithm methods to quantify biological aging, the Klemera-Doubal Method (KDM) Biological Age, homeostatic dysregulation (HD), and Levine Method (LM) Biological Age in a cohort of N=1,374 older adults aged 71-102 years (35% male, 52% African American), the Duke-EPESE. We parameterized algorithms from analysis of US NHANES data (N=36,207). We conducted criterion validity analyses using measures of disability and mortality as end-points. We analyzed counts of ADLs and iADLs using negative binomial regression. We analyzed time-to-death using Cox regression. Models were adjusted for age, sex, and race/ethnicity. We evaluated algorithms derived from analysis of different biomarker groupings. We also compared algorithms derived from analysis of mixed age and race/ethnicity samples to algorithms derived from older-age (65+) and individual race/ethnicity samples. Duke-EPESE participants with older KDM Biological Age reported dependence in more ADLs and iADLs, and were at increased risk of death (ADL IRR=1.19 [1.12, 1.27]; IADL IRR=1.18 [1.10, 1.26]; mortality HR=1.09 [1.06, 1.13]). Quantifications of biological aging derived from analysis of a mixed-age and race/ethnicity sample predicted disability and mortality in African-American and white older adults.

2019 ◽  
Vol 75 (9) ◽  
pp. 1671-1679 ◽  
Author(s):  
Daniel C Parker ◽  
Bryce N Bartlett ◽  
Harvey J Cohen ◽  
Gerda Fillenbaum ◽  
Janet L Huebner ◽  
...  

Abstract Quantification of biological aging has been proposed for population surveillance of age-related decline in system integrity and evaluation of geroprotective therapies. However, methods of quantifying biological aging have been little studied in geriatric populations. We analyzed three clinical-biomarker-algorithm methods to quantify biological aging. Klemera–Doubal method Biological Age and homeostatic dysregulation algorithms were parameterized from analysis of U.S. National Health and Nutrition Examination Surveys (NHANES) data (N = 36,207) based on published methods. Levine method Biological Age was adapted from published analysis of NHANES data. Algorithms were applied to biomarker data from the Duke Established Populations for Epidemiologic Studies of the Elderly (Duke-EPESE) cohort of older adults (N = 1,374, aged 71–102 years, 35% male, 52% African American). We tested associations of biological aging measures with participant reported Activities of daily living (ADL), instrumental activities of daily living (IADL) dependencies, and mortality. We evaluated the sensitivity of results to the demographic composition of reference samples and biomarker sets used to develop biological aging algorithms. African American and white Duke-EPESE participants with more advanced biological aging reported dependence in more ADLs and IADLs and were at increased risk of death over follow-up through 2017. Effect sizes were similar across algorithms, but were strongest for Levine method Biological Age (per-quintile increase in ADL incidence rate ratio = 1.25, 95% confidence interval [1.17–1.37], IADL incidence rate ratio = 1.23 [1.15–1.32], mortality hazard ratio = 1.12 [1.08–1.16]). Results were insensitive to demographic composition of reference samples, but modestly sensitive to the biomarker sets used to develop biological aging algorithms. Blood-chemistry-based quantifications of biological aging show promise for evaluating the effectiveness of interventions to extend healthy life span in older adults.


Gerontology ◽  
2021 ◽  
pp. 1-9
Author(s):  
Lee Butcher ◽  
Jose Antonio Carnicero ◽  
Karine Pérès ◽  
Marco Colpo ◽  
David Gomez Cabrero ◽  
...  

<b><i>Introduction:</i></b> The evidence that blood levels of the soluble receptor for advanced glycation end products (sRAGE) predict mortality in people with cardiovascular diseases (CVD) is inconsistent. To clarify this matter, we investigated if frailty status influences this association. <b><i>Methods:</i></b> We analysed data of 1,016 individuals (median age, 75 years) from 3 population-based European cohorts, enrolled in the FRAILOMIC project. Participants were stratified by history of CVD and frailty status. Mortality was recorded during 8 years of follow-up. <b><i>Results:</i></b> In adjusted Cox regression models, baseline serum sRAGE was positively associated with an increased risk of mortality in participants with CVD (HR 1.64, 95% CI 1.09–2.49, <i>p</i> = 0.019) but not in non-CVD. Within the CVD group, the risk of death was markedly enhanced in the frail subgroup (CVD-F, HR 1.97, 95% CI 1.18–3.29, <i>p</i> = 0.009), compared to the non-frail subgroup (CVD-NF, HR 1.50, 95% CI 0.71–3.15, <i>p</i> = 0.287). Kaplan-Meier analysis showed that the median survival time of CVD-F with high sRAGE (&#x3e;1,554 pg/mL) was 2.9 years shorter than that of CVD-F with low sRAGE, whereas no survival difference was seen for CVD-NF. Area under the ROC curve analysis demonstrated that for CVD-F, addition of sRAGE to the prediction model increased its prognostic value. <b><i>Conclusions:</i></b> Frailty status influences the relationship between sRAGE and mortality in older adults with CVD. sRAGE could be used as a prognostic marker of mortality for these individuals, particularly if they are also frail.


2017 ◽  
Vol 51 (0) ◽  
Author(s):  
Angela Maria Segura Cardona ◽  
Doris Cardona Arango ◽  
Dedsy Yajaira Berbesí Fernández ◽  
Alejandra Agudelo Martínez

ABSTRACT OBJECTIVE To analyze the traffic accident mortality in the Colombian older adults during the 1998-2012 period and show the loss of productive years and mortality from this cause. METHODS Quantitative study of the trend analysis of deaths in Colombia in traffic accidents, from 1998 to 2012, according to death records and population projected by the Colombian National Administrative Department of Statistics. Frequency distribution profile of the deceased, death rates per hundred thousand inhabitants, potential years of life lost and calculation of excess mortality by age in the over 60 were made. RESULTS In the study period 100,758 deaths occurred in traffic accidents, 6,717 annual average, of which 18.5% occurred in people aged 60 years and over. The predominated deaths were men; the risk of dying was 32.15 per hundred thousand people in this age range, with double risk of dying those under 60 years. CONCLUSIONS The young population has a higher proportion of deaths, but those over 60 years are at increased risk of death, leading to the need to turn our gaze to the improvement of road infrastructure and standards, to educate the population in self-care and compliance with safety measures and prepare society for an ever more adult population, more numerous and more prone to take risks.


2021 ◽  
Vol 9 ◽  
Author(s):  
R. Turner Goins ◽  
Elizabeth Anderson ◽  
Hannah Minick ◽  
Heather Daniels

Introduction: Older adults have the poorest coronavirus (COVID-19) prognosis with the highest risk of death due to complications, making their COVID-19 experiences particularly important. Guided by the stress-appraisal-coping theoretical model, we sought to understand COVID-related perceptions and behaviors of older adults residing in the United States.Materials and Methods: We used convenience sampling to recruit persons with the following inclusion criteria: Aged ≥ 65 years, English fluency, and U.S. residency. Semi structured in-depth interviews were conducted remotely and audio recorded between April 25, 2020 and May 7, 2020. Interviews were professionally transcribed with a final study sample of 43. A low-inference qualitative descriptive design was used to provide a situated understanding of participants' life experiences using their naturalistic expressions.Results: The mean age of participants was 72.4 ± 6.7. Slightly over half were female (55.8%), 90.6% were White, and 18.6% lived alone. The largest percentages of participants resided in a rural area (27.9%) or small city (25.6%). We identified four themes, including (1) risk perception, (2) financial impact, (3) coping, and (4) emotions. Most participants were aware of their greater risk for poor COVID-19 outcomes but many did not believe in their increased risk. Financial circumstances because of the pandemic varied with largely no financial impacts, while others reported negative impacts and a few reported positive impacts. Coping was problem- and emotion-focused. Problem-focused coping included precautionary efforts and emotion-focused coping included creating daily structure, pursuing new and/or creative activities, connecting with others in new ways, and minimizing news media exposure. Overall, emotional health was negatively affected by the pandemic although some participants reported positive emotional experiences.Conclusions: Perceiving themselves as high risk for COVID-19 complications, older adults used precautionary measures to protect themselves from contracting the virus. The precautionary measures included social isolation, which can negatively affect mental health. Older adults will need to be resourceful and draw on existing resources to cope, such as engaging in creative activities and new strategies to connect with others. Our findings underscore the importance of the preservation of mental health during extended periods of isolation by taking advantage of low-to-no-cost existing resources.


2020 ◽  
Vol 75 (10) ◽  
pp. 1989-1995 ◽  
Author(s):  
Aya Yoshikawa ◽  
Gilbert Ramirez ◽  
Matthew Lee Smith ◽  
Margaret Foster ◽  
Anas K Nabil ◽  
...  

Abstract Background There is increasing concern about opioid use as a pain treatment option among older adults. Existing literature implies an association between opioid use and fracture, increasing the risk of death and disabilities; yet, this relationship with other fall-related outcomes has not been fully explored. We performed a meta-analysis to evaluate the associations between opioid use and adverse health outcomes of falls, fall injuries, and fractures among older adults. Methods A systematic literature search was conducted using nine databases: Medline, Embase, CINAHL, PsycInfo, Global Health, Northern Light Sciences Conference Abstracts, Cochrane CENTRAL, WHO International Clinical Trials Registry Platform, and ClinicalTrials.gov. We log-transformed effect sizes (relative risk [RR], odds ratio [OR], and hazard ratio [HR]) to compute pooled risk estimates comparable across the studies. The random-effects model was applied to calculate the pooled risk estimates due to heterogeneity. Meta-regressions explored differences in risk estimates by analysis method, study design, setting, and study quality. Results Thirty studies, providing 34 relevant effect sizes, met the inclusion criteria for this meta-analysis. Overall, opioid use was significantly associated with falls, fall injuries, and fractures, with effect sizes ranging from 0.15 to 0.71. In meta-regressions, no selected factors explained heterogeneity. Conclusion While heterogeneity is present, results suggest an increased risk of falls, fall injuries, and fractures among older adults who used opioids. Findings highlight the need for opioid education and nonopioid-related pain management interventions among older adults to decrease fall-related risk.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S86-S86
Author(s):  
Macy Zou ◽  
Ronald Kelly ◽  
Betty Chinda ◽  
Mckenzie Braley ◽  
Tony Zhang ◽  
...  

Abstract Frailty Index (FI), polypharmacy and cognition status are significant health concerns in older adults. We conducted this study to investigate the interplay of frailty, polypharmacy, and cognition, in determining health outcomes. InterRAI Residential Care (RAI-RC MDS2.0) data were retrieved from residential care homes in Surrey, BC, Canada. Older residents (65+ years) who had RAI-RC records between 2016 and 2018 were used in the analysis (n=976). A deficit accumulation-based FI was generated using 36 variables. Information on polypharmacy and cognition were obtained by accounting the total number of medications and the cognitive performance scale. Information on falls, emergency visits, and mortality were followed. Multivariate Cox proportional hazard models were used to examine the effects of these variables on different outcomes. The FI showed a near Gaussian distribution (median= 0.370 mean= 0.372 SD= 0.143), and increased linearly with age on a logarithm scale (R=0.75, p&lt;0.001). Residents with cognitive impairment showed a higher level of the FI (KW= 863.3, p&lt;0.001). A higher FI was associated with an increased risk of death (HR=15.2 p=0.006) and emergency visits (HR=2.72 p=0.048), adjusting for age, sex, medications, and education levels. Frailty, polypharmacy, and cognition levels are associated and have interactive effects on health outcomes. Ongoing research is to validate the findings with large samples in different health settings, and to understand the underlying processes of the effect. The close relationships between frailty, polypharmacy, and cognition with health outcomes call for effective integrated strategies for healthcare of older adults with multiple complex health problems.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 9512-9512
Author(s):  
Julie Anna Wolfson ◽  
Can-Lan Sun ◽  
Heeyoung Kim ◽  
Tongjun Kang ◽  
Smita Bhatia

9512 Background: AYAs (15-39y at diagnosis) with cancer have not seen the survival improvement evidenced by younger and older age groups with similar diagnoses, leaving an AYA Gap. While treatment on pediatric protocols is associated with superior survival in 15-21 year-olds, the impact of site of care on survival for vulnerable AYA subpopulations (age at diagnosis or race/ ethnicity) between 22-and 39y at diagnosis remains unstudied. Methods: We constructed a cohort of 10,727 patients newly diagnosed between the ages of 22- and 39y with lymphoma, leukemia, brain tumors, melanoma, thyroid and GU cancers, and reported to the LA County cancer registry between 1998 and 2008. Multivariable Cox regression analysis was conducted, and included race/ethnicity, age at diagnosis, SES, insurance status, primary cancer diagnosis and diagnosis year in the model; the analysis was stratified by site of care (NCICCC vs. non-NCICCC). Results: A total of 928 (9%) patients received treatment at the 3 NCICCCs (City of Hope, Jonsson Cancer Center and Norris Cancer Center) in LA County, and 9,799 received care elsewhere. Five-year overall survival (5y OS) was significantly worse for patients treated at non-NCICCC (87%) when compared with those treated at NCICCC (84%, p=0.02). In addition, 5y OS was worse for African Americans (71%) vs. non-Hispanic whites (89%, p<0.0001) and for older patients (31-39yo: 84%, vs. 22-30yo: 86%, p=0.0004). Multivariable analysis adjusting for SES, insurance status, diagnosis and diagnosis year revealed that African Americans (HR=1.4, p=0.0002) and older AYAs (31-39y: HR=1.24, p<0.0001) were at an increased risk of death. Among patients treated at NCICCC, the difference in risk of death due to race (African Americans: HR=0.8, p=0.7) and age (31-39yo: HR=1.1, p=0.6) was abrogated. On the other hand, among patients treated at non-NCICCC, these differences in outcome persisted (African Americans: HR=1.45, p =0.0002; 31-39yo: HR=1.25, p<.0001). Conclusions: Population-based data reveal that receipt of care at an NCICCC abrogates the effects of race and older age on mortality in AYAs with cancer. Barriers to accessing care at NCICCCs are being explored.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 6565-6565
Author(s):  
Theresa Keegan ◽  
Lawrence H. Kushi ◽  
Qian Li ◽  
Ann Brunson ◽  
Marcio H. Malogolowkin ◽  
...  

6565 Background: AYA cancer survivors are at increased risk of developing cardiovascular disease (CVD) compared to AYAs without a history of cancer. In AYA cancer survivors, few population-based studies have focused on CVD risk and none have considered whether the occurrence of CVD differs by sociodemographic factors. Methods: Analyses focused on 64,918 patients aged 15-39 y at diagnosis for one of 14 first primary cancers during 1996-2010 and surviving > 2 years after diagnosis, with follow-up through 2013. Data were obtained from the California Cancer Registry and State hospital discharge data. CVD included coronary artery disease, heart failure, and stroke. We estimated the cumulative incidence of developing CVD, accounting for death as a competing risk, stratified by race/ethnicity, neighborhood socioeconomic status (SES) at diagnosis, health insurance status at diagnosis/initial treatment and cancer type. We examined the impact of CVD on mortality using multivariable Cox proportional hazards regression with CVD as a time-dependent covariate. Results: Overall, 2374 (3.7%) patients developed CVD, and 7690 (11.9%) died over the follow-up period. Survivors of acute myeloid leukemia (12.6%), acute lymphoid leukemia (11.1%), central nervous system cancer (9.0%) and non-Hodgkin lymphoma (6.0%) had the highest incidence of CVD at 10-years. Incidence was significantly higher among Blacks (6.7%) at 10-years than non-Hispanic Whites (3.0%), Hispanics (3.7%) and Asian/Pacific Islanders (3.7%) (p < 0.001). AYA survivors with public or no insurance (vs private) had a higher 10-year incidence of CVD (5.8% vs 2.9%; p < 0.001), as did survivors residing in low (vs high) SES neighborhoods (4.1% vs 2.7%; p < 0.001). These sociodemographic differences in CVD incidence were apparent across most cancer sites. The risk of death was increased by five-fold or higher among AYAs who developed CVD. Conclusions: AYA cancer survivors who were uninsured or publicly insured, of Black race/ethnicity, or who resided in lower SES neighborhoods are at increased risk for developing CVD and experiencing higher mortality. The proactive management of CVD risk factors in these subgroups may improve patient outcomes.


2017 ◽  
Vol 74 (6) ◽  
pp. 1053-1061 ◽  
Author(s):  
Karen D Lincoln ◽  
Donald A Lloyd ◽  
Ann W Nguyen

Abstract Objectives A common mechanism underlying premature morbidity may be accelerated biological aging as reflected by salivary telomere length (STL). This study examined the extent to which social relationships, both positive and negative, can be protective or confer risk relative to biological aging. Method Data from the Health and Retirement Study and multiple regression were used to examine cross-sectional associations between STL, self-reported social support, and negative interaction (e.g., conflict, criticism) with family in a nationally representative sample of African American and non-Hispanic White middle-aged and older adults (N = 4,080). Results Social support from family was associated with shorter STL. Negative interaction with family had no main effect on STL but interactions characterized by high social support and more frequent negative interactions were associated with longer STL. Negative interaction with family was negatively associated with STL for African Americans and Whites but the magnitude of the effect was greater for African Americans. Discussion Study findings highlight the role of social relationships in physiological deterioration among middle-aged and older adults and identify a potential mechanism whereby race is linked to accelerated biological aging. Findings highlight the importance of considering positive and negative aspects of social relationships to understand the consequences of social connections for cellular aging in diverse populations.


2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Annlia Paganini-Hill ◽  
Stuart C. White ◽  
Kathryn A. Atchison

In the last decade the effect of oral health on the general health and mortality of elderly people has attracted attention. We explored the association of dental health behaviors and dentition on all-cause mortality in 5611 older adults followed from 1992 to 2009 (median=9years) and calculated risk estimates using Cox regression analysis in men and women separately. Toothbrushing at night before bed, using dental floss everyday, and visiting the dentist were significant risk factors for longevity. Never brushing at night increased risk 20–35% compared with brushing everyday. Never flossing increased risk 30% compared with flossing everyday. Not seeing a dentist within the last 12 months increased risk 30–50% compared with seeing a dentist two or more times. Mortality also increased with increasing number of missing teeth. Edentulous individuals (even with dentures) had a 30% higher risk of death compared with those with 20+ teeth. Oral health behaviors help maintain natural, healthy and functional teeth but also appear to promote survival in older adults.


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