On legal age change

2019 ◽  
Vol 45 (7) ◽  
pp. 469-470 ◽  
Author(s):  
William Simkulet
Keyword(s):  
Age Discrimination ◽  
Biological Age ◽  
Chronological Age ◽  
Birth Date ◽  
Moral Reasons ◽  
Age Change

Joona Räsänen argues some people have a right to change their legal age to prevent age discrimination. He proposes two prerequisites—the person feels his age differs from his legal age, and that person’s biological age differs from his chronological age. I argue we can achieve the same protections from ageism through restricting access to one’s birth date. I review several moral reasons in favour of changing one’s legal age, concluding the enterprise is folly.

scholarly journals Moral case for legal age change

2019 ◽  
Vol 45 (7) ◽  
pp. 461-464 ◽  
Author(s):  
Joona Räsänen
Keyword(s):  
Biological Age ◽  
Chronological Age ◽  
Moral Case ◽  
Age Change

Should a person who feels his legal age does not correspond with his experienced age be allowed to change his legal age? In this paper, I argue that in some cases people should be allowed to change their legal age. Such cases would be when: (1) the person genuinely feels his age differs significantly from his chronological age and (2) the person’s biological age is recognised to be significantly different from his chronological age and (3) age change would likely prevent, stop or reduce ageism, discrimination due to age, he would otherwise face. I also consider some objections against the view that people should be allowed to change their legal age and find them lacking.

scholarly journals Biological age vs. chronological age: the impact on the development of the young tennis athlete

2020 ◽  
Vol 28 (80) ◽  
pp. 38-41
Author(s):  
André Vilela Brito
Keyword(s):  
Peak Height ◽  
Biological Age ◽  
Height Velocity ◽  
Chronological Age ◽  
Birth Date ◽  
Peak Height Velocity ◽  
First Semester ◽  
Relative Age ◽  
The Impact ◽  
Maturational Timing

The aim of this paper is to understand how various factors such as maturation, peak height velocity, body growth and the effect of relative age can interfere with the athlete's development in sports and in personal terms. Studies indicate that athletes’ development is made up of several stages of maturation, and it is likely that they may occur at different timings depending on the athlete, their birth date, their upbringing, and the type of practice they have undertaken. Thus, we will have to be aware of the prediction we make of an athlete’s progression because this maturational timing influences both the physical and mental progression of the athlete. This is especially true given that evidence shows that those born in the first semester of the season or year may have early advantages over those born in the second semester. This may include finding ways to limit the ability to give more means and selection to teams or players that are stronger or more mature.

Against the nihilism of ‘legal age change’: response to Räsänen

2019 ◽  
Vol 45 (7) ◽  
pp. 465-466 ◽  
Author(s):  
Toni C Saad
Keyword(s):  
Biological Age ◽  
Chronological Age ◽  
Moral Argument ◽  
Moral Case ◽  
Change Response ◽  
Age Change

Räsänen has attempted to make a moral case for permitting some people to change their legal age: if someone considers that their chronological age does not correspond to their emotional age or biological age, and they face age-based discrimination as a result, they may change the legal record of their age. This response considers some of the problems with Räsänen’s paper, including its reliance on equivocation. It concludes that what is billed as a moral argument turns out to be a conflicted case for deception which relies on a nihilistic outlook on reality.

scholarly journals Age change, official age and fairness in health

2020 ◽  
Vol 46 (9) ◽  
pp. 634-635 ◽  
Author(s):  
Kasper Lippert-Rasmussen ◽  
Thomas Søbirk Petersen
Keyword(s):  
Chronological Age ◽  
Age Change

In a recent JME article, Joona Räsänen makes the case for allowing legal age change. We identify three problems with his argument and, on that basis, propose an improved version thereof. Unfortunately, even the improved argument is vulnerable to the objection that chronological age is a better proxy for justice in health than both legal and what we shall call official age.

Biological Senescence: Loss of Integration and Resilience

1995 ◽  
Vol 14 (1) ◽  
pp. 106-120 ◽  
Author(s):  
F. Eugene Yates ◽  
Laurel A. Benton
Keyword(s):  
Degrees Of Freedom ◽  
Nonequilibrium Thermodynamics ◽  
Physical Basis ◽  
Biological Age ◽  
Chronological Age ◽  
Nonlinear Mechanics ◽  
Internal Time ◽  
Flow Of Time

ABSTRACTThe flow of time can be conceptualized either as a cycle or an arrow. We offer a combined view: a helix. Chronological age (geophysical time reference) is not necessarily identical to biological age (internal time reference), and aging does not necessarily imply senescence. A new scheme of senescence, based on homeodynamics (nonlinear mechanics and nonequilibrium thermodynamics), is introduced as a plausible physical basis for understanding senescence. We propose that energy throughput, initially constructive of forms and functions, becomes destructive once most of the available degrees of freedom have been “frozen out” by the construction. Senescence becomes manifested at that point.

scholarly journals De-standardising ageing? Shifting regimes of age measurement

2015 ◽  
Vol 36 (7) ◽  
pp. 1407-1433 ◽  
Author(s):  
TIAGO MOREIRA
Keyword(s):  
20Th Century ◽  
Sociological Theory ◽  
Biological Age ◽  
Chronological Age ◽  
Advanced Economies ◽  
Institutional Responses ◽  
Changing Role

ABSTRACTDeparting from the proposition that, in the sociological debate about whether there has been a shift towards a de-standardised lifecourse in advanced economies, little attention has been devoted to the infrastructural arrangements that would support such a transition, this paper explores the changing role of standards in the governance of ageing societies. In it, I outline a sociological theory of age standard substitution which suggests that contradictory rationalities used in the implementation of chronological age fuelled the emergence of a critique of chronological age within the diverse strands of gerontological knowledge during the 20th century. The paper analyses how these critiques were linked to a proliferation of substitute, ‘personalised’ age standards that aimed to conjoin individuals’ unique capacities or needs to roles or services. The paper suggests that this configuration of age standards’ production, characterised by uncertainty and an opening of moral and epistemic possibilities, has been shrouded by another, more recent formation where institutional responses to decentred processes of standardisation moved research and political investment towards an emphasis on biological age measurement.

scholarly journals Diabetes mellitus correlates with increased biological age as indicated by clinical biomarkers

GeroScience ◽  
2021 ◽  
Author(s):  
Nadine Bahour ◽  
Briana Cortez ◽  
Hui Pan ◽  
Hetal Shah ◽  
Alessandro Doria ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Cellular Level ◽  
Biological Age ◽  
Chronological Age ◽  
Mortality Data ◽  
Diabetes Mortality ◽  
Clinical Biomarkers ◽  
Gender And Age

AbstractChronological age (CA) is determined by time of birth, whereas biological age (BA) is based on changes on a cellular level and strongly correlates with morbidity, mortality, and longevity. Type 2 diabetes (T2D) associates with increased morbidity and mortality; thus, we hypothesized that BA would be increased and calculated it from biomarkers collected at routine clinical visits. Deidentified data was obtained from three cohorts of patients (20–80 years old)—T2D, type 1 diabetes (T1D), and prediabetes—and compared to gender- and age-matched non-diabetics. Eight clinical biomarkers that correlated with CA in people without diabetes were used to calculate BA using the Klemera and Doubal method 1 (KDM1) and multiple linear regression (MLR). The phenotypic age (PhAge) formula was used with its predetermined biomarkers. BA of people with T2D was, on average, 12.02 years higher than people without diabetes (p < 0.0001), while BA in T1D was 16.32 years higher (p < 0.0001). Results were corroborated using MLR and PhAge. The biomarkers with the strongest correlation to increased BA in T2D using KDM were A1c (R2 = 0.23, p < 0.0001) and systolic blood pressure (R2 = 0.21, p < 0.0001). BMI had a positive correlation to BA in non-diabetes subjects but disappeared in those with diabetes. Mortality data using the ACCORD trial was used to validate our results and showed a significant correlation between higher BA and decreased survival. In conclusion, BA is increased in people with diabetes, irrespective of pathophysiology, and to a lesser extent in prediabetes.

scholarly journals Biological age in UK Biobank: biomarker composition and prediction of mortality, coronary heart disease and hospital admissions

2019 ◽  
Author(s):  
Mei Sum Chan ◽  
Matthew Arnold ◽  
Alison Offer ◽  
Imen Hammami ◽  
Marion Mafham ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Risk Factor ◽  
Heart Disease ◽  
Principal Components ◽  
Hospital Admissions ◽  
Principal Component ◽  
Age Effects ◽  
Biological Age ◽  
Chronological Age ◽  
Uk Biobank

AbstractBackgroundAge is the strongest risk factor for most chronic diseases, and yet individuals may age at different rates biologically. A biological age formed from biomarkers may be a stronger risk factor than chronological age and understanding what factors contribute to it could provide insight into new opportunities for disease prevention.Methods and findingsAmong 480,019 UK Biobank participants aged 40-70 recruited in 2006-2010 and followed up for 6-12 years via linked death registry and secondary care records, a subpopulation of 141,254 (29.4%) non-smoking adults in good health and with no medication use or disease history at baseline were identified. Independent components of 72 biomarkers measured at baseline were characterised by principal component analysis. The Klemera Doubal method (KDM), which derived a weighted sum of biomarker principal components based on the strengths of their linear associations with chronological age, was used to derive sex-specific biological ages in this healthy subpopulation. The proportions of the overall biological and chronological age effects on mortality, coronary heart disease and age-related non-fatal hospital admissions (based on a hospital frailty index) that were explained by biological age were assessed using log-likelihoods of proportional hazards models.Reduced lung function, reduced kidney function, slower reaction time, lower insulin-like-growth factor 1, lower hand grip strength and higher blood pressure were key contributors to biological age (explaining the highest percentages of its variance) in both men and women, while lower albumin, higher sex hormone-binding globulin and lower muscle mass in men, and higher liver enzymes, blood lipids and HbA1c in women were also important. Across both sexes, a 51-principal component biological age explained 66%, 80% and 63% of the age effects on mortality, coronary heart disease and hospital admissions, respectively. Restricting the biological age to the 12-13 key biomarkers corresponding to the 10 most importantly contributing principal components resulted in little change in these proportions for women, but a reduction to 53%, 63% and 50%, respectively, for men.ConclusionsThis study identified that markers of impaired function in a range of organs account for a substantial proportion of the apparent effect of age on disease and hospital admissions. It supports a broader, multi-system approach to research and prevention of diseases of ageing.

scholarly journals Selective effects of biological and chronological age on the development of cognitive abilities in adolescence

2021 ◽  
Author(s):  
Ilona Kovacs ◽  
Kristof Kovacs ◽  
Patricia Gervan ◽  
Katinka Utczas ◽  
Gyongyi Olah ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Skeletal Maturity ◽  
Pubertal Timing ◽  
Working Memory Capacity ◽  
Bone Age ◽  
Gonadal Hormones ◽  
Individual Variability ◽  
Biological Age ◽  
Chronological Age ◽  
Biological Maturity

Adolescent development is not only shaped by the mere passing of time and accumulating experience, it also depends on pubertal timing and the cascade of maturational processes orchestrated by gonadal hormones. Although individual variability in puberty onset confounds adolescent studies, it has not been efficiently controlled for. Here we introduce ultrasonic bone age assessment to estimate biological maturity and disentangle the independent effects of chronological and biological age on adolescent cognitive abilities. Comparing cognitive performance of participants with different skeletal maturity we uncover the striking impact of biological age on both IQ and specific abilities. We find that biological age has a selective effect on abilities: more mature individuals within the same age group have higher working memory capacity and processing speed, while those with higher chronological age have better verbal abilities, independently of their maturity. Based on our findings, bone age is a promising biomarker for adolescent research.

Abstract 160: DNA-Methylation and Aging. Contribution of Biological Age to Recovery After Ischemic Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Jordi Jimenez-Conde ◽  
Carolina Soriano-Tarraga ◽  
Eva Giralt-Steinhauer ◽  
Marina Mola ◽  
Rosa Vivanco-Hidalgo ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Ischemic Stroke ◽  
Functional Status ◽  
Biological Age ◽  
Chronological Age ◽  
Bivariate Analysis ◽  
Stroke Severity ◽  
Age Related ◽  
Recovery Capacity ◽  
The Impact

Background: Stroke has a great impact in functional status of patients, although there are substantial interindividual differences in recovery capacity. Apart from stroke severity, age is considered an important predictor of outcome after stroke, but aging is not only due to chronological age. There are age-related DNA-methylation changes in multiple CpG sites across the genome that can be used to estimate the biological age (b-Age), and we seek to analyze the impact of this b-Age in recovery after an ischemic stroke. Methods: We include 600 individuals with acute ischemic stroke assessed in Hospital del Mar (Barcelona). Demographic and clinical data such as chronological age (c-Age), vascular risk factors, NIHSS at admission, recanalization treatment (rtPA or endovascular treatment), previous modified Rankin scale (p-mRS) and 3 months post stroke functional status (3-mRS) were registered. Biological age (b-Age) was estimated with Hannumm algorithm, based on DNA methylation in 71 CpGs. Results: The bivariate analyses for association with 3-mRS showed a significant results of NIHSS, c-Age, b-Age, p-mRS, and current smoking (all with p<0.001). Recanalization treatment showed no significant differences in bivariate analysis. In multivariate ordinal models, b-Age kept its significance (p=0.025) nullifying c-Age (p=0.84). Initial NIHSS, p-mRS and recanalization treatment kept also significant results (p<0.001). Conclusions: Biological Age, estimated by DNA methylation, is an independent predictor of stroke prognosis, irrespective to chronological age. "Healthy aging” affects the capacity of recovering after an ischemic stroke.

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