scholarly journals Physiological Dysregulation, Frailty, and Risk of Mortality Among Older Adults

2016 ◽  
Vol 39 (8) ◽  
pp. 911-933 ◽  
Author(s):  
Jennifer C. Cornman ◽  
Dana A. Glei ◽  
Noreen Goldman ◽  
Maxine Weinstein
Keyword(s):  
Survival Data ◽  
Predictive Accuracy ◽  
Accurate Predictor ◽  
Adverse Health Outcomes ◽  
Biomarkers Of Aging ◽  
Physiological Dysregulation ◽  
Risk Of Mortality ◽  
The Social ◽  
Aging Study ◽  
Cox Proportional Hazard Models

This study examines whether frailty is associated with mortality independently of physiological dysregulation (PD) and, if so, which is the more accurate predictor of survival. Data come from the Social Environment and Biomarkers of Aging Study. We use Cox proportional hazard models to test the associations between PD, frailty, and 4- to 5-year survival. We use Harrell’s concordance index to compare predictive accuracy of the models. Both PD and frailty are significantly, positively, and independently correlated with mortality: Worse PD scores and being frail are associated with a higher risk of dying. The overall PD score is a more accurate predictor of survival than frailty, although model prediction improves when both measures are included. PD and frailty independently predict mortality, suggesting that the two measures may be capturing different aspects of the same construct and that both may be important for identifying individuals at risk for adverse health outcomes.

The Social Environment and Biomarkers of Aging Study (SEBAS)

2019 ◽  
pp. 1-13
Author(s):  
Jennifer C. Cornman ◽  
Dana A. Glei ◽  
Noreen Goldman ◽  
Maxine Weinstein
Keyword(s):  
Social Environment ◽  
Biomarkers Of Aging ◽  
The Social ◽  
Aging Study

scholarly journals Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan

2014 ◽  
Vol 45 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Jennifer C Cornman ◽  
Dana A Glei ◽  
Noreen Goldman ◽  
Ming-Cheng Chang ◽  
Hui-Sheng Lin ◽  
...  
Keyword(s):  
Social Environment ◽  
Biomarkers Of Aging ◽  
The Social ◽  
Aging Study

The Social Environment and Biomarkers of Aging Study (SEBAS)

2021 ◽  
pp. 5101-5112
Author(s):  
Jennifer C. Cornman ◽  
Dana A. Glei ◽  
Noreen Goldman ◽  
Maxine Weinstein
Keyword(s):  
Social Environment ◽  
Biomarkers Of Aging ◽  
The Social ◽  
Aging Study

scholarly journals International Differences in the Links between Obesity and Physiological Dysregulation: The United States, England, and Taiwan

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Sarinnapha Vasunilashorn ◽  
Jung Ki Kim ◽  
Eileen M. Crimmins
Keyword(s):  
Waist Circumference ◽  
Health Outcomes ◽  
The United States ◽  
Normal Weight ◽  
Biological Risk ◽  
Adverse Health Outcomes ◽  
Waist Size ◽  
Biomarkers Of Aging ◽  
Physiological Dysregulation ◽  
Nationally Representative

Excess weight has generally been associated with adverse health outcomes; however, the link between overweight and health outcomes may vary with socioeconomic, cultural, and epidemiological conditions. We examine associations of weight with indicators of biological risk in three nationally representative populations: the US National Health and Nutrition Examination Survey, the English Longitudinal Study of Ageing, and the Social Environment and Biomarkers of Aging Study in Taiwan. Indicators of biological risk were compared for obese (defined using body mass index (BMI) and waist circumference) and normal weight individuals aged 54+. Generally, obesity in England was associated with elevated risk for more markers examined; obese Americans also had elevated risks except that they did not have elevated blood pressure (BP). Including waist circumference in our consideration of BMI indicated different links between obesity and waist size across countries; we found higher physiological dysregulation among those with high waist but normal BMI compared to those with normal waist and normal BMI. Americans had the highest levels of biological risk in all weight/waist groups. Cross-country variation in biological risk associated with obesity may reflect differences in health behaviors, lifestyle, medication use, and culture.

scholarly journals Testing Proposed Quantifications of Biological Aging in Taiwanese Older Adults

2019 ◽  
Vol 75 (9) ◽  
pp. 1680-1685 ◽  
Author(s):  
Lauren Gaydosh ◽  
Daniel W Belsky ◽  
Dana A Glei ◽  
Noreen Goldman
Keyword(s):  
Older Adults ◽  
Cognitive Function ◽  
Biological Aging ◽  
The West ◽  
Healthy Life ◽  
Biomarkers Of Aging ◽  
The Social ◽  
Aging Study ◽  
Aging Rates ◽  
Mixed Age

Abstract Quantification of biological aging is of interest in gerontology as a means to surveil aging rates in the population and to evaluate the effects of interventions to increase healthy life span. Analysis of proposed methods to quantify biological aging has focused on samples of midlife or mixed-age adults in the West. Research is needed to test whether quantifications of biological aging can differentiate aging rates among older adults and if quantifications of biological aging developed in Western samples can differentiate aging rates in non-Western populations. We conducted analysis of Klemera-Doubal method (KDM) Biological Age and homeostatic dysregulation measures of biological aging developed in the U.S. NHANES and tested in a sample of older Taiwanese adults in the Social Environment and Biomarkers of Aging Study. We conducted analysis of physical and cognitive function and mortality, comparing quantifications of biological aging to a biomarker index based on norms within our analysis sample and to participants’ ratings of their own health. Results showed that quantifications of biological aging (a) predicted differences in physical and cognitive function and in mortality risk among Taiwanese older adults and (b) performed as well as a traditional biomarker index and participant self-rated health for prediction of these outcomes.

scholarly journals Changes in Physical Functioning as Short-Term Predictors of Mortality

2018 ◽  
Vol 75 (3) ◽  
pp. 630-639
Author(s):  
Theresa Andrasfay
Keyword(s):  
Physical Functioning ◽  
Repeated Measures ◽  
Recent Measurement ◽  
Proportional Hazard ◽  
Predictors Of Mortality ◽  
Biomarkers Of Aging ◽  
Increased Risk ◽  
The Social ◽  
Aging Study

Abstract Objectives Both performance-based and self-reported measures of physical functioning are predictors of mortality. There has been relatively little research examining whether their changes predict mortality. This study examines whether 5-year changes in performance-based and self-reported measures of functioning predict subsequent mortality. Method Data are from the 2006 wave of the Social Environment and Biomarkers of Aging Study, 2011 wave of the Taiwan Longitudinal Study of Aging, and mortality follow-up through 2015. Gompertz proportional hazard models predict mortality from changes in ability to complete performance-based tests and changes in performance-based and self-reported functioning. Results Incident inability to complete at least one performance-based test of functioning is associated with twice the risk of subsequent 4-year mortality. Conditional on the baseline measurement, a one standard deviation (SD) decline in grip strength is associated with a 61% increased risk of 4-year mortality; a one-SD decline in walking speed and a one-SD increase in self-reported limitations are both associated with around a 40% increased risk of 4-year mortality. Conditional on the most recent measurement of functioning, prior change is not significantly associated with subsequent mortality. Discussion Repeated measures of performance-based and self-reported functioning are valuable in that they provide an updated measurement of functioning.

scholarly journals Physiological Dysregulation, Frailty, and Impacts on Adverse Health and Functional Outcomes

2021 ◽  
Vol 8 ◽  
Author(s):  
Yanxia Lu ◽  
Xinyi Gwee ◽  
Denise Q. L. Chua ◽  
Crystal T. Y. Tan ◽  
Keng Bee Yap ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Functional Outcomes ◽  
Predictive Accuracy ◽  
Adverse Outcomes ◽  
Physical Frailty ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
Physiological Dysregulation ◽  
Aging Studies ◽  
Secondary Analyses

Background: Multi-system physiological dysregulation (PD) may represent a biological endo-phenotype of clinical frailty. We investigated the co-occurrence of PD with physical frailty and its contributions to the known impact of frailty on adverse health outcomes.Methods: Data of 2,725 participants from the Singapore Longitudinal Aging Studies (SLAS-2), included baseline measures of physical frailty and PD derived from Mahalanobis distance (Dm) value of 23 blood biomarkers. We analyzed their concurrent association and their impacts on 9-year mortality, MMSE cognition, GDS depression, number of medications, disability, and hospitalization at baseline and follow up (mean 4.5 years).Results: Global PD (Log10Dm, mean = 1.24, SD = 0.24) was significantly but weakly associated with pre-frailty-and-frailty. Controlling for age, sex and education, pre-frailty-and-frailty (HR = 2.12, 95% CI = 1.51–3.00) and PD (HR = 3.88, 95% CI = 2.15–6.98) predicted mortality. Together in the same model, mortality HR associated with pre-frailty-and-frailty (HR = 1.83, 95% CI = 1.22–2.73) and PD (HR = 3.06, 95% CI = 1.60–5.85) were reduced after additionally adding global PD to the prediction model. The predictive accuracy for mortality were both approximately the same (PD: AUC = 0.62, frailty: AUC = 0.64), but AUC was significantly increased to 0.68 when combined (p < 0.001). Taken into account in the same model, frailty remained significantly associated with all health and functional outcomes, and PD was significantly associated with only MMSE, disability and medications used. In secondary analyses, there were mixed associations of system-specific PDs with frailty and different adverse outcomes.Conclusions: Co-existing PD and physical frailty independently predict mortality and functional and health outcomes, with increased predictive accuracy when combined. PD appears to be a valid representation of a biological endo-phenotype of frailty, and the potential utility of such subclinical measures of frailty could be further studied.

scholarly journals Is Raising Your Grandchild Bad for Your Health? The Association Between Custodial Grandparent Status and Health Biomarkers in Taiwanese Grandparents

2020 ◽  
Vol 17 (5) ◽  
pp. 1753 ◽  
Author(s):  
Zoe Fokakis ◽  
Danielle Nadorff ◽  
Ian McKay
Keyword(s):  
Cultural Values ◽  
Energy Levels ◽  
Stress Coping ◽  
Custodial Grandparents ◽  
Asian Cultural Values ◽  
Biomarkers Of Aging ◽  
The Social ◽  
Custodial Grandparenting ◽  
Aging Study ◽  
Lower Respiratory Disease

Data from two waves of the Social Environment and Biomarkers of Aging Study in Taiwan were analyzed to determine the effects of custodial grandparenting on health in a longitudinal sample. Self-reported measures on respondents’ perception of their health, six health biomarkers, the presence of twelve diseases, and a measure of stress were included. Custodial Grandparents (CGPs) were significantly more likely to report worse health than their peers. However, there were no significant differences in biomarkers, and CGPs were only significantly different from non-custodial grandparents (nCGPs) regarding lower respiratory disease. Results suggest that CGPs do not have significantly worse health than nCGPs, but report feeling less healthy. This disparity is suspected to be due to energy levels or stress sources not assessed by the variables in the original study. These results and their implications based upon the stress-coping model elucidate the need to design interventions that incorporate the East Asian cultural values and practices in order to promote better health outcomes for CGP populations overall.

DOES LOWER SUBJECTIVE SOCIAL STATUS YIELD RISKIER BIOMARKER PROFILES?

2014 ◽  
Vol 47 (06) ◽  
pp. 746-761 ◽  
Author(s):  
OMER GERSTEN ◽  
PAOLA S. TIMIRAS ◽  
W. THOMAS BOYCE
Keyword(s):  
Social Status ◽  
Allostatic Load ◽  
Subjective Social Status ◽  
Negative Finding ◽  
Biomarkers Of Aging ◽  
The Social ◽  
Aging Study ◽  
Nationally Representative ◽  
Taiwanese Men ◽  
The One

SummaryBoth objective and, more recently, subjective measures of low social status have been linked to poor health outcomes. It is unclear, however, through which precise physiological mechanisms such standing may influence health, although it has been proposed that those of lower status may have biomarker profiles that are more dysregulated (and hence pose a greater risk for poorer health). The main objective of this study was to investigate whether lower subjective social standing is associated with riskier neuroendocrine biomarker profiles. Data were from the Social Environment and Biomarkers of Aging Study (SEBAS), a nationally representative survey of Taiwanese men and women (ages 54–91) conducted in Taiwan in 2000. Five neuroendocrine markers (cortisol, dehydroepiandrosterone sulphate (DHEAS), adrenaline, noradrenaline and dopamine) were analysed both separately and collectively in an index termed neuroendocrine allostatic load (NAL) in relation to status – both self-reported and as measured through objective socioeconomic status (SES) indicators. For the biomarker DHEAS, some connection was found between its levels and the measures of status, but for the other markers and the NAL index almost no connection was found. The overall negative finding of this paper would be further supported with more and different measures of neuroendocrine system function and a reordering of the subjective social status questions in the survey such that the one probing about status in the community (that has no prompt) was asked before the one probing about status in all of Taiwan (which has a SES prompt).

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