DETERMINING THE INDICATORS OF HUMAN LIFE INDEX AND BIOLOGICAL AGE AS A METHOD OF IMPROVING THE EFFICIENCY OF VALEOLOGY GROUPS

Abstract In many developed countries, human life expectancy has doubled over the last 180 years. Underlying this higher life expectancy is a change in how we age. Biomarkers of ageing are used to quantify changes in the aging process and to determine biological age. Perceived age is such a biomarker that correlates with biological age. Here we present a unique database rich with possibilities to study the human ageing process. Using perceived age enables us to collect large amounts of data on biological age through a citizen science project, where people upload facial pictures and guess the ages of other people at www.ageguess.org. The data on perceived age we present here span birth cohorts from the years 1877 to 2012. The database currently contains around 220,000 perceived age guesses. Almost 4500 citizen scientists from over 120 countries of origin have uploaded ~4700 facial photographs. Beyond studying the ageing process, the data present a wealth of possibilities to study how humans guess ages and who is better at guessing ages.

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Parallel Progress in Perceived Age and Life Expectancy

The Journals of Gerontology Series A ◽

10.1093/gerona/glz096 ◽

2019 ◽

Vol 75 (2) ◽

pp. 333-339 ◽

Cited By ~ 2

Author(s):

Ulrich K Steiner ◽

Lisbeth A Larsen ◽

Kaare Christensen

Keyword(s):

Life Expectancy ◽

Human Life ◽

Biological Age ◽

Life Expectancy At Birth ◽

Biomarkers Of Aging ◽

Younger Age ◽

Past Life ◽

Age Perception ◽

Length Of Life ◽

Facial Images

Abstract Background Human life expectancy continues to rise in most populations. This rise not only leads to longer lives but also is accompanied by improved health at a given age, that is, recent cohorts show a reduction of biological age for a given chronological age. Despite or even because of the diversity of biomarkers of aging, an accurate quantification of a general shift in biological age across time has been challenging. Methods Here, we compared age perception of facial images taken in 2001 over a decade and related these changes in age perception to changes in life expectancy. Results We show that age perception changes substantially across time and parallels the progress in life expectancy. In 2012, people aged more than 70 years needed to look 2.3 years younger to be rated the same age as in 2002. Conclusions Our results suggest that age perception reflects the past life events better than predicts future length of life, that is, it is written in your face how much you have aged so far. We draw this conclusion as age perception among elderly individuals paralleled changes in life expectancy at birth but not changes in remaining life expectancies. We suggest that changes in age perception should be explored for younger age classes to inform on aging processes, including whether aging is delayed or slowed with increasing life expectancy.

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Parallel progress in perceived age and life expectancy

10.1101/195990 ◽

2017 ◽

Author(s):

Ulrich K. Steiner ◽

Lisbeth Aagaard Larsen ◽

Kaare Christensen

Keyword(s):

Life Expectancy ◽

Human Life ◽

Biological Age ◽

Life Expectancy At Birth ◽

Biomarkers Of Aging ◽

Younger Age ◽

Past Life ◽

Perceived Age ◽

Age Perception ◽

Length Of Life

SummaryHuman life expectancy continues to rise in most populations. This rise not only leads to longer lives but is also accompanied by improved health at a given age, i.e. we see a reduction of biological age for a given chronological age in recent cohorts. Despite or even because of the diversity of biomarkers of aging, an accurate quantification of a general shift in biological age across time has been challenging. By comparing age perception of images taken in 2001 over a decade, we show that age perception changes substantially across time and parallels the progress in life expectancy. In 2012, people aged 70+ needed to look 2.3 years younger to be rated the same age as in 2002. Our results further suggest that age perception reflects the past life events better than predicts future length of life, i.e. it is written in your face how much you have aged so far, but does not predict well how fast you will age in the future. We draw this conclusion since age perception among elderly paralleled changes in life expectancy at birth but not changes in remaining life expectancies. We illustrate advantages of perceived age as a biomarker of aging and suggest that changes in age perception should be explored for younger age classes to inform on aging processes, including whether aging is delayed or slowed with increasing life expectancy.

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Reversal of Epigenetic Age with Diet and Lifestyle in a Pilot Randomized Clinical Trial

10.1101/2020.07.07.20148098 ◽

2020 ◽

Author(s):

Kara Fitzgerald ◽

Romilly Hodges ◽

Douglas Hanes ◽

Emily Stack ◽

David Cheishvili ◽

...

Keyword(s):

Clinical Trial ◽

Treatment Group ◽

Human Life ◽

Lifestyle Changes ◽

Biological Age ◽

Control Group ◽

Controlled Clinical Trial ◽

Breathing Exercises ◽

Strong Trend ◽

Diet And Lifestyle

Manipulations to set back biological age and extend lifespan in animal models are well established, and translation to humans has begun. The length of human life makes it impractical to evaluate results by plotting mortality curves, so surrogate markers of age have been suggested and, at present, the best established surrogates are DNA methylation clocks. Herein we report on a randomized, controlled clinical trial designed to be a first step in evaluating the effect of a diet and lifestyle intervention on biological age. Compared to participants in the control group (n=20), participants in the treatment group tested an average 3.23 years younger at the end of the eight-week program according to the Horvath DNAmAge clock (p=0.018). Those in the treatment group (n=18) tested an average 1.96 years younger at the end of the program compared to the same individuals at the beginning with a strong trend towards significance (p=0.066 for within group change). This is the first such trial to demonstrate a potential reversal of biological age. In this study, the intervention was confined to diet and lifestyle changes previously identified as safe to use. The prescribed program included multiple components with documented mechanistic activity on epigenetic pathways, including moderate exercise, breathing exercises for stress, and a diet rich in methyl donor nutrients and polyphenols.

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Spatial regression analysis for discovering quality living index (QLI) in Asia

Bulletin of Social Informatics Theory and Application ◽

10.31763/businta.v2i1.100 ◽

2018 ◽

Vol 2 (1) ◽

pp. 1-7

Author(s):

Devina Gilar Fitri Ayu Sumardi ◽

Tuti Purwaningsih

Keyword(s):

Quality Of Life ◽

Southeast Asia ◽

Human Life ◽

Spatial Regression ◽

Pollution Index ◽

Climate Index ◽

Life Index ◽

Quality Of Life Index ◽

The Difference

The quality of life that is synonymous with welfare lately much discussed. Survival or quality of life is an important issue in the economy and political knowledge. Quality of life describes the achievement of an ideal human life or in accordance with the desired. The quality of life index (IKH) provides a comprehensive ranking of the quality of life of a society in a country around the world. According to katadata news and research in 2016, the quality of life in 5 Southeast Asian countries is ranked lowest. The research finds that there are regional imbalances based on the indices of quality of life in 2018. Therefore, countries in Southeast Asia need to be genjotic in all areas to boost contributions to the quality of life in the country, as Dominic Volek, Southeast Asia chief in Henley & Partners Singapore. In this study we use the data from numbeo.com to see the value of quality indices in Asia in 2018 with various supporting indicators such as purchasing power index, security index, health care index, cost of living index, property price to income ratio, time index travel traffic, pollution index, and climate index. Where this study aims to determine how much influence the indicators that have been determined to calculate the CPI, knowing the best spatial regression model that can be used and determine whether there is asi gap in the region of Asia. The results of this study hope can be useful information for the community and a reference to make policy by the state officials in the field, but it can be a research material that can be developed again to see the difference and development of quality of life index in each country in Asia next year.

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Biosecurity: tools, behaviours and concepts

Emerging Topics in Life Sciences ◽

10.1042/etls20200343 ◽

2020 ◽

Vol 4 (5) ◽

pp. 449-452

Author(s):

Alan MacLeod ◽

Nicola Spence

Keyword(s):

Plant Protection ◽

Human Life ◽

Animal Health ◽

Early Warning Systems ◽

Policy Makers ◽

Recent Developments ◽

Surveillance Programs ◽

Harmful Organisms ◽

The One ◽

Biosecurity Practices

COVID 19 has raised the profile of biosecurity. However, biosecurity is not only about protecting human life. This issue brings together mini-reviews examining recent developments and thinking around some of the tools, behaviours and concepts around biosecurity. They illustrate the multi-disciplinary nature of the subject, demonstrating the interface between research and policy. Biosecurity practices aim to prevent the spread of harmful organisms; recognising that 2020 is the International Year of Plant Health, several focus on plant biosecurity although invasive species and animal health concerns are also captured. The reviews show progress in developing early warning systems and that plant protection organisations are increasingly using tools that compare multiple pest threats to prioritise responses. The bespoke modelling of threats can inform risk management responses and synergies between meteorology and biosecurity provide opportunities for increased collaboration. There is scope to develop more generic models, increasing their accessibility to policy makers. Recent research can improve pest surveillance programs accounting for real-world constraints. Social science examining individual farmer behaviours has informed biosecurity policy; taking a broader socio-cultural approach to better understand farming networks has the potential to change behaviours in a new way. When encouraging public recreationists to adopt positive biosecurity behaviours communications must align with their values. Bringing together the human, animal, plant and environmental health sectors to address biosecurity risks in a common and systematic manner within the One Biosecurity concept can be achieved through multi-disciplinary working involving the life, physical and social sciences with the support of legislative bodies and the public.

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