scholarly journals Epigenetic age is associated with baseline and 3-year change in frailty in the Canadian Longitudinal Study on Aging

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Chris P. Verschoor ◽  
David T. S. Lin ◽  
Michael S. Kobor ◽  
Oxana Mian ◽  
Jinhui Ma ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Healthy Aging ◽  
Frailty Index ◽  
Sociodemographic Factors ◽  
Chronological Age ◽  
Short Term ◽  
Epigenetic Age ◽  
Health Related ◽  
The Difference ◽  
Using Data

Abstract Background The trajectory of frailty in older adults is important to public health; therefore, markers that may help predict this and other important outcomes could be beneficial. Epigenetic clocks have been developed and are associated with various health-related outcomes and sociodemographic factors, but associations with frailty are poorly described. Further, it is uncertain whether newer generations of epigenetic clocks, trained on variables other than chronological age, would be more strongly associated with frailty than earlier developed clocks. Using data from the Canadian Longitudinal Study on Aging (CLSA), we tested the hypothesis that clocks trained on phenotypic markers of health or mortality (i.e., Dunedin PoAm, GrimAge, PhenoAge and Zhang in Nat Commun 8:14617, 2017) would best predict changes in a 76-item frailty index (FI) over a 3-year interval, as compared to clocks trained on chronological age (i.e., Hannum in Mol Cell 49:359–367, 2013, Horvath in Genome Biol 14:R115, 2013, Lin in Aging 8:394–401, 2016, and Yang Genome Biol 17:205, 2016). Results We show that in 1446 participants, phenotype/mortality-trained clocks outperformed age-trained clocks with regard to the association with baseline frailty (mean = 0.141, SD = 0.075), the greatest of which is GrimAge, where a 1-SD increase in ΔGrimAge (i.e., the difference from chronological age) was associated with a 0.020 increase in frailty (95% CI 0.016, 0.024), or ~ 27% relative to the SD in frailty. Only GrimAge and Hannum (Mol Cell 49:359–367, 2013) were significantly associated with change in frailty over time, where a 1-SD increase in ΔGrimAge and ΔHannum 2013 was associated with a 0.0030 (95% CI 0.0007, 0.0050) and 0.0028 (95% CI 0.0007, 0.0050) increase over 3 years, respectively, or ~ 7% relative to the SD in frailty change. Conclusion Both prevalence and change in frailty are associated with increased epigenetic age. However, not all clocks are equally sensitive to these outcomes and depend on their underlying relationship with chronological age, healthspan and lifespan. Certain clocks were significantly associated with relatively short-term changes in frailty, thereby supporting their utility in initiatives and interventions to promote healthy aging.

Bidirectional Association Between Depression and Hearing Loss: Evidence From the China Health and Retirement Longitudinal Study

2021 ◽  
pp. 073346482110423
Author(s):  
Chao Wu
Keyword(s):  
Hearing Loss ◽  
Longitudinal Study ◽  
Cognitive Decline ◽  
Age Related ◽  
Bidirectional Association ◽  
Health Related ◽  
Clinically Significant ◽  
Using Data ◽  
Bidirectional Associations ◽  
Age Related Hearing Loss

The relationship between depression and age-related hearing loss (ARHL) is not fully understood. This study tested the bidirectional associations between clinically significant depressive symptoms (CSDSs) and ARHL in middle-aged and older adults using data from the China Health and Retirement Longitudinal Study. Among 3,418 participants free of baseline ARHL, baseline CSDS was associated with an increased odds of incident ARHL (odds ratio [OR]: 1.51). Cognitive decline, BMI, and arthritis partially mediated the longitudinal CSDS–ARHL association and explained 24% of the variance in the total effect. Among 4,921 participants without baseline CSDS, baseline ARHL was associated with an increased odds of incident CSDS (OR: 1.37). The bidirectional associations remained significant after adjustments for baseline demographic factors, comorbidities, and other health-related covariates. Depression may contribute to the development of ARHL, and vice versa. Interventions in depression, cognitive decline, and arthritis may delay the onset of ARHL and break the vicious circle between them.

scholarly journals Comparing Biological Age Estimates Using Domain-Specific Measures From the Canadian Longitudinal Study on Aging

2020 ◽  
Author(s):  
Chris P Verschoor ◽  
Daniel W Belsky ◽  
Jinhui Ma ◽  
Alan A Cohen ◽  
Lauren E Griffith ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Biological Age ◽  
Care Utilization ◽  
Disability And Health ◽  
Organ Function ◽  
Domain Specific ◽  
Health Related ◽  
Using Data ◽  
Physiological Systems ◽  
Age Estimates

Abstract Many studies have shown that estimates of biological age (BA) can predict health-related outcomes in older adults. Often, researchers employ multiple measures belonging to a variety of biological/physiological systems, and assess the validity of BA estimates by how well they approximate chronological age (CA). However, it is not clear whether this is the best approach for judging a BA estimate, or whether certain groups of measures are more informative to this end. Using data from the Canadian Longitudinal Study on Aging, we composed panels of biological measures based on the physiological systems/domains they belong to (blood, organ function, physical/cognitive performance), and also composed a panel of measures that optimized the association of BA with CA. We then compared BA estimates for each according to their association with CA and health-related outcomes, including frailty, multimorbidity, chronic condition domains, disability, and health care utilization. Although BA estimated using all 40 measures (r = 0.74) or our age-optimized panel (r = 0.77) most closely approximated CA, the strength of associations to health-related outcomes was comparable or weaker than that of our panel composed only of physical performance measures (CA r = 0.59). All BA estimates were significantly associated to the outcomes considered, with exception to the neurological and musculoskeletal disease domains, and only varied slightly by sex. In summary, while the approximation of CA is important to consider when estimating BA, the strength of associations to prospective outcomes may be of greater importance. Hence, the context in which BA is estimated should be influenced by an investigator’s specific research goals.

scholarly journals RACE, BIOLOGICAL AGE, AND COGNITION: THE SYSTEMATIC ASSESSMENT OF GERIATRIC ELEMENTS IN ATRIAL FIBRILLATION STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S322-S322
Author(s):  
Sarah N Forrester ◽  
David D McManus ◽  
Jane S Saczynski ◽  
Catarina I Kiefe
Keyword(s):  
Atrial Fibrillation ◽  
Cognitive Decline ◽  
Racial Differences ◽  
Biological Age ◽  
Chronological Age ◽  
Systematic Assessment ◽  
Race Ethnicity ◽  
The Difference ◽  
Using Data ◽  
Moca Score

Abstract Atrial Fibrillation (AF) is associated with dementia and cognitive decline. AF is less prevalent among Blacks than Whites, although AF-related complications are more common in Blacks. In the general population, all-cause cognitive decline and dementia are more prevalent among Blacks than Whites. Thus, studying diverse populations with AF may advance our understanding of racial disparities in cognitive functioning. We created a measure of multisystem dysregulation (weathering), which includes but is more encompassing than aging, and examined its association with racial differences in cognition using data from the SAGE-AF study, a prospective cohort of >65-year olds with AF, at high stroke risk, and eligible for anticoagulation. Biological (as opposed to chronological) age among 974 participants was calculated using the Klemera and Doubal method using biomarkers representing physiological functioning, metabolism, and blood pressure. We defined weathering as the difference between biological and chronological age (weathering >0 indicates that biological age is higher than chronological age). We measured the association between weathering and the Montreal Cognitive Assessment (MoCA) score. Mean weathering (SD) was -0.7 (11.5) and 4.3 (12.6) for whites and non-whites, respectively. There was an interaction between race/ethnicity and weathering on cognition (P=0.004). In stratified analyses, higher weathering was associated with a lower MoCA score among both Whites and non-Whites but more so among non-whites (B = -0.09, 95% CI: -0.17, -0.02) for Whites (B = -0.03, 95% CI: -0.06, -0.01) for non-whites. Aging-related multisystem dysregulation is more strongly associated with worse cognition in non-whites than in whites.

scholarly journals Aging in psoriasis vulgaris: female patients are epigenetically older than healthy controls

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Pavel Borsky ◽  
Marcela Chmelarova ◽  
Zdenek Fiala ◽  
Kvetoslava Hamakova ◽  
Vladimir Palicka ◽  
...  
Keyword(s):  
Vascular Endothelial Growth Factor ◽  
Growth Factor ◽  
Accelerated Aging ◽  
Chronological Age ◽  
Interleukin 17 ◽  
Vascular Endothelial ◽  
Female Patients ◽  
Epigenetic Age ◽  
The Difference ◽  
Endothelial Growth Factor

Abstract Background Psoriasis vulgaris is a skin autoimmune disease. Psoriatic patients have significantly lowered life expectancy and suffer from various comorbidities. The main goal of the study was to determine whether psoriatic patients experience accelerated aging. As accelerated aging might be the reason for the higher prevalence of comorbidities at lower chronological ages, we also wanted to investigate the relationship between aging and selected parameters of frequent psoriatic comorbidities - endocan, vascular endothelial growth factor and interleukin-17. Samples were obtained from 28 patients and 42 healthy controls. Epigenetic age measurement was based on the Horvath clock. The levels of endocan, vascular endothelial growth factor and interleukin-17 were analyzed using standardized ELISA methods. Results The difference between the epigenetic age and the chronological age of each individual subject did not increase with the increasing chronological age of patients. We cannot conclude that psoriasis causes accelerated aging. However, the epigenetic and chronological age difference was significantly higher in female patients than in female controls, and the difference was correlated with endocan (r = 0.867, p = 0.0012) and vascular endothelial growth factor (r = 0.633, p = 0.0365) only in female patients. Conclusions The findings suggest a possible presence of pathophysiological processes that occur only in female psoriatic patients. These processes make psoriatic females biologically older and might lead to an increased risk of comorbidity occurrence. This study also supports the idea that autoimmune diseases cause accelerated aging, which should be further explored in the future.

scholarly journals Association of Childbearing With a Short-Term Reduced Risk of Crohn Disease in Mothers

2020 ◽  
Vol 189 (4) ◽  
pp. 294-304
Author(s):  
Øystein Kravdal ◽  
Per Magnus ◽  
Bjørn Moum ◽  
Marte Lie Høivik
Keyword(s):  
Crohn Disease ◽  
Biological Effects ◽  
Sociodemographic Factors ◽  
Short Term ◽  
Childless Women ◽  
Norwegian Population ◽  
Inflammatory Bowel ◽  
Using Data ◽  
Residual Confounding ◽  
Norwegian Patient

Abstract Our aim in this study was to analyze the importance of childbearing for risk of inflammatory bowel disease. Using data from the Norwegian Population Register and the Norwegian Patient Register, we fitted discrete-time hazard models for diagnosis of Crohn disease (CD) or ulcerative colitis (UC) among men and women aged 18–81 years in 2011–2016. Year and various sociodemographic factors were controlled for. The data included 4,304 CD cases and 8,866 UC cases. Women whose youngest child was ≤4 years of age had lower CD risk the following year than childless women (odds ratio (OR) = 0.73, 95% confidence interval (CI): 0.62, 0.86). There was no such reduction in CD risk among fathers. Men whose youngest child was aged ≥20 years had higher risks of CD (OR = 1.22, 95% CI: 1.01, 1.49) and UC (OR = 1.15, 95% CI: 1.02, 1.30) than childless men. UC risk was also increased among men whose youngest child was aged ≤4 years (OR = 1.14, 95% CI: 1.02, 1.27). The short-term reduction in women’s CD risk after a birth may reflect biological effects of pregnancy. Alternatively, it may reflect residual confounding or lifestyle effects of parenthood that are of special relevance for CD in women. In particular, differences in use of oral contraceptives (which it was not possible to control for) may have contributed to the observed pattern.

scholarly journals Exploring Ethno-Cultural Variations in Self-Ratings and Determinants of Healthy Aging among Canadians: A Population-Based Study Using Canadian Longitudinal Study on Aging (CLSA) Data

2021 ◽  
Vol 7 (5) ◽  
pp. 1-10
Author(s):  
Shahin Shooshtari ◽  
Keyword(s):  
Longitudinal Study ◽  
Social Engagement ◽  
Healthy Aging ◽  
Population Based ◽  
Cultural Backgrounds ◽  
Population Based Study ◽  
Cultural Variations ◽  
Health Related

Individuals from various ethno-cultural backgrounds have different health-related practices, beliefs, lifestyles, and levels of social engagement, which may promote or impede healthy aging. We examined ethno-cultural variations in self-ratings of healthy aging and its determinants among Canadians.

Validation of Maturity Offset in the Fels Longitudinal Study

2016 ◽  
Vol 28 (3) ◽  
pp. 439-455 ◽  
Author(s):  
Robert M. Malina ◽  
Audrey C. Choh ◽  
Stefan A. Czerwinski ◽  
Wm. Cameron Chumlea
Keyword(s):  
Longitudinal Study ◽  
Logistic Model ◽  
Peak Height ◽  
Height Velocity ◽  
Chronological Age ◽  
Peak Height Velocity ◽  
The Difference ◽  
Offset Time ◽  
Age Range

Sex-specific equations for predicting maturity offset, time before or after peak height velocity (PHV), were evaluated in 63 girls and 74 boys from the Fels Longitudinal Study. Serially measured heights (0.1 cm), sitting heights (0.1 cm), weights (0.1 kg), and estimated leg lengths (0.1 cm) from 8 to 18 years were used. Predicted age at PHV (years) was calculated as the difference between chronological age (CA) and maturity offset. Actual age at PHV for each child was derived with a triple logistic model (Bock-Thissen-du Toit). Mean predicted maturity offset was negative and lowest at 8 years and increased linearly with increasing CA. Predicted ages at PHV increased linearly with CA from 8 to 18 years in girls and from 8 to 13 years in boys; predictions varied within relatively narrow limits from 12 to 15 years and then increased to 18 years in boys. Differences between predicted and actual ages at PHV among youth of contrasting maturity status were significant across the age range in both sexes. Dependence of predicted age at PHV upon CA at prediction and on actual age at PHV limits its utility as an indicator of maturity timing and in sport talent programs.

scholarly journals Association of Facial Aging with DNA Methylation and Epigenetic Age Predictions

2018 ◽  
Author(s):  
Riccardo E Marioni ◽  
Daniel W Belsky ◽  
Ian J Deary ◽  
Wolfgang Wagner
Keyword(s):  
Dna Methylation ◽  
Healthy Aging ◽  
Later Life ◽  
Biological Age ◽  
Chronological Age ◽  
Biological Aging ◽  
Facial Aging ◽  
Epigenetic Age ◽  
All Cause Mortality ◽  
Facial Images

AbstractEvaluation of biological age, as opposed to chronological age, is of high relevance for interventions to increase healthy aging. Highly reproducible age-associated DNA methylation (DNAm) changes can be integrated into algorithms for epigenetic age predictions. These predictors have mostly been trained to correlate with chronological age, but they are also indicative for biological aging. For example accelerated epigenetic age of blood is associated with higher risk of all-cause mortality in later life. The perceived age of facial images (face-age) is also associated with all-cause mortality and other aging-associated traits. In this study, we therefore tested the hypothesis that an epigenetic predictor for biological age might be trained on face-age as surrogate for biological age, rather than on chronological age. Our data demonstrate that facial aging and DNAm changes in blood provide two independent measures for biological aging.

Sign in / Sign up

Export Citation Format

Share Document