Efraim Jaul1,2*
Jeremy Barron3,4- 1Geriatric Skilled Nursing Department, Herzog Hospital, Jerusalem, Israel
- 2Hebrew University of Jerusalem, Jerusalem, Israel
- 3Division of Geriatric Medicine and Gerontology, Johns Hopkins University, Baltimore, MD, United States
- 4Chronic Respiratory Department, Herzog Hospital, Jerusalem, Israel
Introduction: Older adulthood encompasses several decades of change and heterogeneity. Primary care providers need a geriatric comprehensive vision for defining older adult subpopulations.
Methods: Using PubMed and Google searches, we reviewed the literature on epidemiology of age-related physiological changes, age-related diseases and geriatric syndromes, functional state, and emotional and social changes. We divided old age into strata based on chronological age and strata based on functional state, disease burden, and geriatric syndromes.
Results: We describe 4 chronological-age strata beginning at age 60, and 4 functional-age strata based on frailty according to a modified clinical frailty scale. We provide clinical considerations and anticipatory guidance topics for each of the age strata and functional strata.
Conclusion: Chronological age, functional status, chronic disease burden and geriatric syndromes, and life expectancy are all important domains that impact clinical care and appropriate anticipatory guidance for individual older adults. Better knowledge for differentiating subpopulations of older adults may improve clinical care, reduce medical overuse, improve personalized anticipatory guidance, and focus on the impact of functional state on the quality of life.
Introduction
In the coming decades, the proportion of older adults in the world will nearly double (1). Older adults are a heterogeneous population, with many people over the age of 80 continuing to work and travel, while others might be weak, chronically ill, or disabled. A traditional framework for describing different populations of older adults is “young-old,” “old,” “old-old,” and/or “oldest old” (2). Fried's frailty phenotype (3) is a similar three-stage framework in which people are classified as non-frail, prefrail, or frail. Proteomic analysis finds large changes in gene expression at about the age of 40, 60, and 80 (4). However, these frameworks are not adequate to describe the different stages of aging and subpopulations of older adults. Older age is a risk factor not only for normative physiological changes with aging but also for cancer, heart disease, diabetes, dementia, and many other chronic conditions. Genes, disease, and behaviors can pull on the chronological age of a person and make the person appear younger or older with the risk profile (“biological age”) of someone younger or older (5).
The changes associated with aging can be divided into a few domains. First, there are normative physiological changes in every organ system as a person ages. Second, many diseases become more prevalent in older age. These physiological changes and diseases can contribute to functional limitations or disability. Third, aging is associated with some emotional and psychological changes. Finally, many social and environmental changes are common with advancing age.
Although adults age in different patterns and with different trajectories, generalizations about normal and typical aging might be helpful to inform patients, clinicians, and policymakers. When caring for older adults as a clinician or as a family caregiver, predicting the future and then planning for the most likely aging trajectories are the key steps. A primary care provider needs to consider life expectancy and time to benefit before ordering screening tests and before prescribing certain medications. Although many developed nations have an increasingly aging population, health care providers often display inadequate knowledge of geriatric medicine and low confidence in their ability to care for complex multimorbid older patients (6). Primary care providers and other physicians want to know when and how to treat older patients differently based on their age, comorbidities, and other factors (7). Primary care providers should be able to counsel older patients and their families on what to expect in the future and how to plan. Meanwhile, family caregivers who are helping to identify an appropriate placement (even at home) for older adults who are unable to live independently need to anticipate their future functional state and needs (8). Moreover, policymakers considering how to prepare for the “silver tsunami” (1) must appreciate the needs of different older adult subgroups.
At every stage during childhood, anticipatory guidance (9, 10) and a review for parents on what to expect and what to worry about it in the future, including evidence-based strategies for prevention, screening, counseling, and referrals were provided by the health care team. In contrast, in older age, which now spans 30 years rather than a few years, there is typically no anticipatory guidance plan to deal with age and its results.
This study presents a model for the division of older age into stages, which are characterized by chronological age, functional status, chronic disease burden, and geriatric syndromes. Dividing aging into stages and subpopulations can have two discrete benefits, such as improving the delivery of appropriate anticipatory guidance to patients and families, and improving clinical care by targeting interventions appropriately and avoiding inappropriate care [medical overuse (11)].
Methods
The study began with a literature review using PubMed and Google. Literature reviews included search terms such as “age-related diseases, “normal aging,” “physiological aging,” “emotional changes with aging,” “social changes with aging,” “functional changes with aging,” and for specific conditions or changes that were identified, the terms dementia, hyperlipidemia, and loneliness were paired with “epidemiology” and “aging.” We then divided older age into four reasonable chronological age strata. For each chronological age strata, we described normative changes, age-related diseases, emotional, and social changes. Many of these changes are gradually progressive, and the designated age strata reflect an acceleration of change or the peak of a curve. Clinical considerations for the health care team based on these findings are suggested. We also divided aging into four functional strata and explored clinical considerations and anticipatory guidance topics that might be appropriate for each stratum. Tables were reviewed iteratively.
The stages of chronological aging in this study begin at age 60, but in fact, some body systems reach their peak performance well-before age 60. Age 60–69 was chosen because many physiological changes become clinically evident, and social and psychological changes are also noteworthy at this age.
We proposed an aging staging system using chronological age, functional status/disease burden, and life expectancy as three separate domains, comparable with the TNM oncology staging system (12) (tumor size, lymph nodes, and metastasis).
Functional status categories are based on compression of the Rockwood Clinical Frailty Scale (13). Life expectancy can be expressed as an expected age at death, or as the number of predicted additional years of life, or as the number of additional disability-free years (14), or as mortality risk (15) (1, 5, and 10 years). Life expectancy can be predicted based on age, functional status, disease burden, and geriatric syndromes.
Results
Chronological age stages can be helpful in clinical care, particularly related to physiological and emotional changes, and prevalence of disease may vary with age. The four stages based on age (see Table 1) begin at age 60–69.
Table 1. Chronological age strata with appropriate clinical considerations and anticipatory guidance topics.
During this period, pulmonary (29) and renal (30) function, as well as some neurological (31) functions, start gradually declining, usually without clinical signs. Atherosclerosis (32) in men often progresses. During the second age stage, 70–79, hearing loss (20) becomes more common as well as osteoarthritis (33) and cardiac events (34) in men. Many working people transition toward retirement. Many women are caregivers (35) for ill husbands. During the third age stage, 80–84, cognitive aging (36) is more noticeable, and rate of falls (37) increases. The value of cancer screening (38) becomes more ambiguous due to lag time to benefit, detection of insignificant tumors, and burden of false-positive results. During the fourth stage of aging, 85+, most people are still in good health but problems such as dementia (39) and osteoporotic fractures (40) are increasingly common. An increasing majority of older adults are women and nearly half of these women live alone (41), many with risks for social isolation. Cardiac events in women increase to approximate the rate of men (42). Dementia and disability rates rise with advancing age.
The functional stage system (see Table 2) has four strata beginning with independent and lacking chronic illness and progressing to dependency and disability. The staging system is similar to the ECOG performance status grading system used in oncology (43), but tilted to a more robust population.
Table 2. Functional age stages with appropriate clinical considerations and suggested anticipatory guidance topics.
In the first functional stage (A) of this model, corresponding to stages 1–3 of the Clinical Frailty Scale, older adults are active, independent, and without heavy burdens of chronic illness. They may take medicines regularly. Counseling during this stage will focus on the prevention of diseases (particularly cardiovascular), healthy lifestyle promotion, continuing work, and social engagement.
In the second functional stage (B), corresponding to Clinical Frailty Scale (CFS) stage 4, the old accumulate more chronic illnesses and display some functional impairments, but they still remain active and independent. They may be interested in technology device options to optimize independence. They may be considering a reduction in their driving.
In the third functional stage (C), corresponding to CFS stage 5, older adults display chronic illnesses of worsening severity, contributing to hospitalizations and impairments such as pain and fatigue. Polypharmacy and falls also begin to cause a decline in functional state and quality of life. People perform less physical activity. They may be interested in home modifications to ensure safety and promote independence. Some people might move to independent-living communities. As this stage progresses, many people become frail and may use assistive devices for mobility. Hospitalizations become more frequent and older adults may need more supervision from family caregivers. Mild cognitive impairment or mild dementia also can occur in this stage. Some people will move to assisted living communities.
In the fourth functional stage (E), corresponding to CFS 6–9, older adults need regular caregiving help due to disability (physical or cognitive). Without adequate support from caregivers, older adults may need placement in nursing care facilities. Support for caregivers is important. As this stage progresses, the responsibilities of caregivers grow and life expectancy becomes short. Hospitalizations are burdensome, and benefit from treatment is hard to predict.
Examples
Patient: M is a 73-year-old married part-time cashier with chronic obstructive pulmonary disease (COPD) and hypertension. She has not had any hospitalizations in the past year but has had several primary care and specialist visits as well as urgent care visits. She takes six medicines including her inhalers. She is not limited by shortness of breath with her daily activities.
Age Stage: 2A, 10% Risk of 5-Year-Mortality
Patient: S is an 87-year-old retired dentist with moderate dementia as well as coronary artery disease, congestive heart failure, knee osteoarthritis, and benign prostatic hypertrophy, who lives in the memory care section of an assisted-living facility. His wife visits daily. He was hospitalized this year once for a CHF exacerbation and once for complicated urinary tract infection (UTI). He takes eight medications regularly. He walks with a walker or with the assistance of another person.
Age Stage: 4D, Life Expectancy 3 Years
Anticipatory guidance based on age (see Table 1) reflects common age-related physiological and emotional/social changes. Anticipatory guidance based on functional state and burden of chronic illnesses (see Table 2) will include health promotion as well as the limitations that one might expect with a personal profile of chronic conditions, and might also include planning for future housing needs, assistive technologies, and caregiver support.
Discussion
Aging can be viewed as a very slow step-wise decline from wellness and independence toward disability, reduced quality of life, and ultimately death. The rhythm of decline of an individual is very personal and depends on the genes, lifestyle, diseases, and geriatric syndromes such as dementia and falls. Social support and psychological factors like resilience and optimism also have a relevant effect. Not all age-related changes reflect functional decline and incident disease. In fact, migraine headaches and allergic rhinitis symptoms tend to decline with age. Meanwhile, wisdom and crystallized intelligence increase with age, and emotional situations are appraised more positively.
The biological causes for physiological changes with aging and for the prevalence of age-associated diseases continue to be explored and debated. Theories include accumulation of reactive oxygen species, telomere shortening, proinflammatory cytokines, apoptosis, and impaired repair systems (44).
Dividing the process of aging into phases, and characterization of these phases from various aspects can raise awareness and recognition that old age is not homogeneous or stereotypical as it is often considered. Healthy, active people in their 70's should not be treated like disabled people in their 90's, and active people in their 90's should not be treated like sick, disabled people in their 90's. Awareness of age-related physiological changes (such as reduced acuity of vision and hearing, slower reaction time, and impaired balance) will prepare patients and caregivers to prevent trauma, falls, and medication adverse effects.
Cumulative reports in the medical literature of longitudinal studies in older populations describe normative physiological signs/markers related to aging, which are predictive of future morbidity and mortality (gait speed, frailty, renal function, cardiorespiratory fitness, etc.). Recognition of these biological physiological markers helps to risk-stratify the older population with goals of slowing, delaying, and even preventing age-related changes.
Physiological changes in an older person occur not only from biological–physical causes, but also from social, emotional, and mental health circumstances. Awareness of these circumstances may improve or even prevent age-related deterioration, such as awareness and attention to depression and suicide in men during the 1st year after the loss of a spouse.
Adults in stages one and two of aging (age 60–79) typically remain in the first stage of the four-phase functional scale. The rate of decline to the next phases depends on vascular risk factors, genetics (family history), and social/environmental factors (such as education, career, physical activity, and social engagement or isolation). The goal of medicine is to compress morbidity, allowing old and old-old adults to spend more time in these earlier functional aging phases and less time in the disabled or burdened phase with bothersome symptoms.
Although telomere length and tools to calculate biological age have benefits over chronological age, they have not yet been adopted into clinical practice. Frailty scales are not sufficient for use in many settings, such as for the U.S. Preventive Services Task Force (USPSTF) recommendations. These scales and tools have particular uses in particular settings, and there is a risk of using them inappropriately (45). There are settings in which chronological age is appropriate to consider and settings in which frailty and life expectancy are appropriate. The settings in which biological age or telomere length are helpful need further clarification. The health care team should mainly consider the stage of the chronological age of a person when trying to make decisions about vaccines and low-burden screening tests. The health care team should mainly consider the stage of functional age of a person when trying to make decisions about home safety and about burdensome treatments like chemotherapy or hemodialysis. Finally, the health care team should consider the life expectancy of a person when making decisions about tests and treatments with a long lag time to benefit (46). Online tools like http://eprognosis.ucsf.edu can facilitate estimation of life expectancy.
Chronological age stratifications may not correlate with medical, functional, emotional, and social changes that an individual may be experiencing for multiple reasons. The chronological age strata used in this study are obviously inexact, but useful. As noted, older adults are heterogeneous and may develop problems earlier than average or later or never. The final chronological age strata in this proposed staging system are >85. In fact, there may be substantial differences between 87-year-olds and centenarians. However, at this time, there is insufficient data to describe organ system changes and disease epidemiology in subpopulations like centenarians.
Anticipatory guidance in Tables 1, 2 can help patients and families recognize and manage age-related changes. However, the most effective behavioral and pharmacological prevention strategies may need to begin decades before the advent of these adverse conditions. For example, preventing cardiovascular events or dementia may require management or avoidance of atherosclerotic risk factors starting in young adulthood.
With the advancement of modern medicine and with improved preventive care and lower rates of infectious disease, we more often witness an expanding gap between chronological age and biological age. Some people with advanced age have functional and cognitive abilities that are greater than those of younger people.
Just as the term “successful aging” suggests that some people are aging successfully and some are not, a staging system for aging may seem unkind and pejorative to people in the final stages. Many view the use of chronological age as a source of ageism. A large proportion of older adults experience ageism in the workplace and in their daily lives. The entire community has a responsibility to replace negative stereotypes of aging positive and nuanced portrayals. In fact, there is meaning and opportunity in every stage of life including every stage of aging. As people age, they continue to have a desire to be generative, which can include work, volunteering, grandparenting, and storytelling. Even people with very advanced illnesses can have dignity and be a source of inspiration as well as a motivator for kind acts.
Despite differences among individuals, aging can be divided into strata by chronological age, functional age, and disease burden, and by short or long life expectancy. These strata can be helpful to practitioners for the purpose of providing the required anticipatory guidance and high-quality care. Chronological age itself is important to help predict risk for physiological and pathophysiological changes in organ function, but also stratifying by functional state and by life expectancy enable the health provider to provide guidance based on risk for future functional decline, health care utilization, and the likelihood of benefitting from particular tests and treatments.
It would be useful to describe the aging stages of older adults in a large observational study and describe their future functional and health outcomes. It would also be useful to explore the willingness of primary care providers to use a staging system to stratify their older patients.
Data Availability Statement
The original contributions generated for the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
Author Contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
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References
1. United Nations Department of Economic and Social Affairs Population Division (2017). World Population Ageing 2017. - Highlights (ST/ESA/SER.A/397).
2. Garfein AJ, Herzog AR. Robust aging among the young-old, old-old, and oldest-old. J Gerontol B Psychol Sci Soc Sci. (1995) 50:S77–87. doi: 10.1093/geronb/50B.2.S77
3. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. (2001) 56:M146–56. doi: 10.1093/gerona/56.3.M146
4. Lehallier B, Gate D, Schaum N, Nanasi T, Lee SE, Yousef H, et al. Undulating changes in human plasma proteome profiles across the lifespan. Nat Med. (2019) 25:1843–50. doi: 10.1038/s41591-019-0673-2
5. Murabito JM, Zhao Q, Larson MG, Rong J, Lin H, Benjamin EJ, et al. Measures of biologic age in a community sample predict mortality and age-related disease: the framingham offspring study. J Gerontol A Biol Sci Med Sci. (2018) 73:757–62. doi: 10.1093/gerona/glx144
6. Bynum DL, Wilson LA, Ong T, Callahan KE, Dalton T, Ohuabunwa U, et al. Meeting American geriatrics society competencies: are residents meeting expectations for quality care of older adults? J Am Geriatr Soc. (2015) 63:1918–23. doi: 10.1111/jgs.13598
8. Programs and Supports for Family Caregivers of Older Adults. From: Families Caring for an Aging America. Schulz R, Eden J, editors. National Academies of Sciences, Engineering, and Medicine. Washington: DC: National Academies Press (2016).
9. Schuster MA, Duan N, Regalado M, Klein DJ. Anticipatory guidance: what information do parents receive? What information do they want? Arch Pediatr Adolesc Med. (2000) 154:1191–8. doi: 10.1001/archpedi.154.12.1191
10. Dosman C, Andrews D. Anticipatory guidance for cognitive and social-emotional development: Birth to five years. Paediatr Child Health. (2012) 17:75–80. doi: 10.1093/pch/17.2.75
11. Morgan DJ, Dhruva SS, Coon ER, Wright SM, Korenstein D. 2018 update on medical overuse. JAMA Intern Med. (2019) 179:240–6. doi: 10.1001/jamainternmed.2018.5748
12. Telloni SM. Tumor staging and grading: a primer. Methods Mol Biol. (2017) 1606:1–17. doi: 10.1007/978-1-4939-6990-6_1
13. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ. (2005) 173:489–95. doi: 10.1503/cmaj.050051
14. Diehr P, Diehr M, Arnold A, Yee LM, Odden MC, Hirsch CH, et al. Predicting future years of life, health, and functional ability: a healthy life calculator for older adults. Gerontol Geriatr Med. (2015) 1:2333721415605989. doi: 10.1177/2333721415605989
15. Schonberg MA, Li V, Marcantonio ER, Davis RB, McCarthy EP. Predicting mortality up to 14 years among community-dwelling adults aged 65 and older. J Am Geriatr Soc. (2017) 65:1310–5. doi: 10.1111/jgs.14805
16. Understanding the Epidemiology of Vision Loss and Impairment in the United States. Making Eye Health a Population Health Imperative: Vision for Tomorrow. National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Population Health and Public Health Practice; Committee on Public Health Approaches to Reduce Vision Impairment and Promote Eye Health. Washington, DC: National Academies Press (US) (2016).
17. Shufelt C, Manson J. Managing menopause by combining evidence with clinical judgment. Clin Obstet Gynecol. (2018) 61:470–9. doi: 10.1097/GRF.0000000000000378
18. Buford TW. Hypertension and Aging. Ageing Res Rev. (2016) 26:96–111. doi: 10.1016/j.arr.2016.01.007
19. Carstensen LL, Pasupathi M, Mayr U, Nesselroade JR. Emotional experience in everyday life across the adult life span. J Pers Soc Psychol. (2000) 79:644–55. doi: 10.1037/0022-3514.79.4.644
20. Bainbridge KE, Wallhagen MI. Hearing loss in an aging American population: extent, impact, and management. Annu Rev Public Health. (2014) 35:139–52. doi: 10.1146/annurev-publhealth-032013-182510
21. Schwartz SR, Magit AE, Rosenfeld RM, Ballachanda BB, Hackell JM, Krouse HJ, et al. Clinical practice guideline (update): earwax (cerumen impaction). Otolaryngol Head Neck Surg. (2017) 156:S1–29. doi: 10.1177/0194599816671491
22. Petersen PE, Yamamoto T. Improving the oral health of older people: the approach of the WHO Global Oral Health Programmed. Community Dent Oral Epidemiol. (2005) 33:81–92. doi: 10.1111/j.1600-0528.2004.00219.x
23. Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, et al. Gait speed and survival in older adults. JAMA. (2011) 305:50–8. doi: 10.1001/jama.2010.1923
24. Ferrucci L, Corsi A, Lauretani F, Bandinelli S, Bartali B, Taub DD, et al. The origins of age-related proinflammatory state. Blood. (2005) 105:2294–9. doi: 10.1182/blood-2004-07-2599
25. Orth U, Erol RY, Luciano EC. Development of self-esteem from age 4 to 94 years: A meta-analysis of longitudinal studies. Psychol Bull. (2018) 144:1045–80. doi: 10.1037/bul0000161
26. Lockenhoff CE. Aging and Decision-making: A Conceptual Framework for Future Research. Gerontology. (2018) 64:140–8. doi: 10.1159/000485247
27. Gell NM, Wallace RB, LaCroix AZ, Mroz TM, Patel KV. Mobility device use in older adults and incidence of falls and worry about falling: findings from the 2011-2012 national health and aging trends study. J Am Geriatr Soc. (2015) 63:853–9. doi: 10.1111/jgs.13393
28. Nock MK, Borges G, Bromet EJ, Cha CB, Kessler RC, Lee S. Suicide and suicidal behavior. Epidemiol Rev. (2008) 30:133–54. doi: 10.1093/epirev/mxn002
29. Sharma G, Goodwin J. Effect of aging on respiratory system physiology and immunology. Clin Interv Aging. (2006) 1:253–60. doi: 10.2147/ciia.2006.1.3.253
30. Denic A, Glassock RJ, Rule AD. Structural and functional changes with the aging kidney. Adv Chronic Kidney Dis. (2016) 23:19–28. doi: 10.1053/j.ackd.2015.08.004
31. Schott JM. The Neurology of aging: What is normal? Pract Neurol. (2017) 17:172–82. doi: 10.1136/practneurol-2016-001566
32. Lakatta EG, Levy D. Arterial and cardiac aging: major shareholders in cardiovascular disease enterprises: Part I: aging arteries: a “set up” for vascular disease. Circulation. (2003) 107:139–46. doi: 10.1161/01.CIR.0000048892.83521.58
33. Zhang Y, Jordan JM. Epidemiology of osteoarthritis. Clin Geriatr Med. (2010) 26:355–69. doi: 10.1016/j.cger.2010.03.001
34. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics−2015 update: a report from the American Heart Association. Circulation. (2015) 131:e29–322. doi: 10.1161/CIR.0152
35. Weber-Raley L, Smith E. Caregiving in the U.S. 2015 Research Report. National Alliance for Caregiving and AARP Public Policy Institute (2015).
36. Small BJ, Dixon RA, McArdle JJ. Tracking cognition-health changes from 55 to 95 years of age. J Gerontol B Psychol Sci Soc Sci. (2011) 66(Suppl. 1):i153–61. doi: 10.1093/geronb/gbq093
37. WHO Global Report on Falls Prevention in Older Age. World Health Organization, Aging and Life Course, Family and Community Health. Geneva (2007).
38. Breslau ES, Gorin SS, Edwards HM, Schonberg MA, Saintz N, Walter LC, et al. An individualized approach to cancer screening decisions in older adults: a multilevel framework. J Gen Intern Med. (2016) 31:539–47. doi: 10.1007/s11606-016-3629-y
39. Fitzpatrick AL, Kuller LH, Ives DG, Lopez OL, Jagust W, Breitner JC, et al. Incidence and prevalence of dementia in the Cardiovascular Health Study. J Am Geriatr Soc. (2004) 52:195–204. doi: 10.1111/j.1532-5415.2004.52058.x
40. Amin S, Achenbach SJ, Atkinson EJ, Khosla S, Melton LJ. Trends in fracture incidence: a population-based study over 20 years. J Bone Miner Res. (2014) 29:581–9. doi: 10.1002/jbmr.2072
41. Stepler R. Smaller Share of Women Ages 65 and Older Are Living Alone: More Are Living with Spouse or Children. Washington, DC: Pew Research Center (2019).
42. Merz AA, Cheng S. Sex differences in cardiovascular ageing. Heart. (2016) 102:825–31. doi: 10.1136/heartjnl-2015-308769
43. Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, MacFadden ET, et al. Toxicity and response criteria of the eastern cooperative oncology group. Am J Clin Oncol. (1982) 5:649–55. doi: 10.1097/00000421-198212000-00014
44. Barth E, Sieber P, Stark H, Schuster S. Robustness during aging: molecular biological and physiological aspects. Cells. (2020) 8:1862. doi: 10.3390/cells9081862
45. Belsky DW, Moffitt TE, Cohen AA, Corcoran AA, Levine ME, et al. Eleven telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: do they measure the same thing? Am J Epidemiol. (2018) 187:1220–30. doi: 10.1093/aje/kwx346
Keywords: chronologic age, aging, functional status, anticipatory guidance, life expectancy
Citation: Jaul E and Barron J (2021) Characterizing the Heterogeneity of Aging: A Vision for a Staging System for Aging. Front. Public Health 9:513557. doi: 10.3389/fpubh.2021.513557
Received: 23 September 2020; Accepted: 02 August 2021;
Published: 12 October 2021.
Edited by:
Maria Fiatarone Singh, The University of Sydney, AustraliaReviewed by:
Patricia M. Alt, Towson University, United StatesTzvi Dwolatzky, Technion Israel Institute of Technology, Israel
Copyright © 2021 Jaul and Barron. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Efraim Jaul, jaulefi@gmail.com