The proposal, described by Franco Grimolizzi of the University of Oslo, is not a validated medical test or a claim that aging can be reduced to one definitive number. Instead, it is a blueprint for an “Aging Essential 8,” designed to organize evidence that is already available while acknowledging that major scientific disagreements remain. The suggested instrument would combine four behavioral pillars—diet quality, physical activity, sleep, and avoidance of tobacco and excessive alcohol—with four biological pillars: functional capacity, cognition, cardiometabolic health and one validated estimate of biological age. Each component could be scored from 0 to 100 and averaged into an overall result. The intended purpose would be communication and prevention, not diagnosis, disease labeling or a promise of rejuvenation.

The model takes inspiration from Life’s Essential 8, introduced by the American Heart Association in 2022 to summarize cardiovascular health. That framework scores diet, physical activity, nicotine exposure, sleep, body mass index, blood lipids, blood glucose and blood pressure. Its strength is not that it resolves every question in cardiovascular biology, but that it converts a sprawling risk landscape into a format that people and clinicians can understand. Subsequent evidence has suggested that people with high adherence to the cardiovascular checklist also display markers of slower biological aging, with one American Heart Association report associating strong adherence with a phenotypic age approximately six years younger than that of people with low adherence. Grimolizzi argues that the communication strategy—not necessarily the biological equivalence—could be adapted for aging.

Aging, however, is a much harder target to compress. Cardiovascular risk centers on a comparatively limited set of measurable factors and recognized clinical outcomes. Aging affects every organ system, from immune regulation and metabolism to muscle, cognition and cellular repair, and the rate of decline can differ between tissues in the same individual. There is also no single regulatory diagnosis called “aging” that can serve as the endpoint for a treatment. The field’s influential hallmarks of aging provide a mechanistic vocabulary for researchers, but they were created to organize laboratory knowledge rather than guide a routine clinical consultation. Researchers continue to disagree about whether aging should be understood as one unified process, a collection of interacting processes or something that cannot be captured by a single theory.

Even so, the field has begun to converge on the kinds of measurements that matter. A 2025 expert consensus identified a broad set of candidate outcomes for aging-intervention trials, including insulin-like growth factor 1, growth differentiation factor 15, C-reactive protein, interleukin-6, muscle mass, grip strength, gait speed, balance, the Timed Up and Go test, frailty, cognition, blood pressure and DNA methylation clocks. The panel also concluded that no single biomarker can adequately represent biological aging. That conclusion is crucial: if aging is multidimensional, a composite measure is more plausible than a solitary blood test or epigenetic clock. The unresolved question is not whether multiple measurements are needed, but which ones should be combined, how they should be weighted and how well they predict outcomes across different populations.

The proposed biological-age component is deliberately less exotic than many commercial products. It would use phenotypic age, a measure calculated from routine laboratory results rather than a specialized epigenetic assay. The calculation incorporates nine blood-based variables—albumin, creatinine, glucose, C-reactive protein, lymphocyte percentage, mean corpuscular volume, red-cell distribution width, alkaline phosphatase and white-cell count—alongside chronological age in a published equation. The result estimates the age at which a person’s mortality risk would be average in a reference population. The relevant value is therefore the gap between phenotypic age and actual age, not simply the biological-age estimate itself. A person whose phenotypic age is three years above their chronological age would receive a different score from someone whose estimate is three years below. Importantly, the framework could still operate without this measurement, leaving seven components that require only a questionnaire, a bedside assessment and ordinary blood tests.

In the proposed clinical setting, a general practitioner, practice nurse or community health worker—not necessarily a private longevity clinic—would administer the assessment during routine care. The clinician might record diet and exercise habits, assess sleep and substance exposure, measure blood pressure and laboratory markers, test grip strength or walking speed, and conduct a brief cognitive screen such as the Montreal Cognitive Assessment. The resulting score would be less important than the pattern behind it. A hypothetical 58-year-old with reasonable diet and activity, adequate sleep, no tobacco exposure, preserved gait, a cognitive score of 24, an imperfect cardiometabolic profile and a phenotypic age three years above chronological age might score 63 out of 100. The lowest subscores would identify possible targets for intervention without forcing the patient to decipher an opaque commercial algorithm.

The emphasis on primary care is also an equity argument. Biological-age testing and longevity clinics are currently most accessible to affluent, health-conscious consumers, while the largest deficits in healthy life expectancy often occur in lower-income communities. A tool dependent on expensive sequencing or repeated specialist appointments could widen that gap. By contrast, a framework based mainly on questionnaires, simple functional tests and routine blood work could be used in ordinary healthcare systems, including settings where epigenetic testing is unavailable. The behavioral half may also be especially powerful. In the long-running EPIC-Norfolk study, a combination of not smoking, avoiding physical inactivity, moderate alcohol consumption and a diet consistent with high fruit and vegetable intake was associated with a roughly fourfold difference in all-cause mortality—an effect the investigators estimated to be comparable to 14 years of chronological age. Behavior measures exposure, while biological measures reveal the condition that exposure has produced, making the two halves complementary rather than interchangeable.

The framework remains a proposal, and its uncertainties are substantial. Dietary questionnaires would need to be tested against aging-specific outcomes, and the relative importance of resistance training versus aerobic activity would require clearer validation. Thresholds for the biological-age gap are especially difficult because phenotypic age and DNA methylation clocks are not interchangeable, and their distributions can vary by population and platform. Functional capacity and cognition also change with age, meaning that absolute cutoffs could unfairly penalize healthy older adults. One possible solution is to score walking speed and cognition against age- and sex-specific norms while retaining absolute safety thresholds. Researchers would also need to determine whether all eight components should be averaged equally or weighted according to their predictive power. A consensus panel involving organizations such as the World Health Organization, a national geriatrics society or the American Aging Association could settle these issues through multiround expert review and large-scale cohort analysis. Until then, the Aging Essential 8 should be viewed as a testable starting point—not a finished clinical instrument—but one that could give the public a clearer, more equitable way to understand what longevity science can and cannot yet promise.

The investigation centered on a cohort of 8,332 Canadians aged 60 and above who initially reported suboptimal well-being. Over the span of three years, nearly a quarter of these individuals exhibited a remarkable resurgence, regaining a state of optimal well-being. This phenomenon was characterized not simply by the absence of disease but by a holistic sense of thriving across physical, psychological, emotional, and social dimensions, including self-rated wellness. This comprehensive framework of well-being reflects an evolving paradigm that transcends traditional biomedical metrics to encompass subjective and relational aspects influencing quality of life.

One of the study’s pivotal revelations is the profound role of baseline psychological and emotional wellness. Older adults who began the study already exhibiting strength in these domains were nearly five times more likely to recover optimal overall well-being. This finding speaks to the resilience-building power of mental health and emotional stability as foundational pillars in the journey toward restoration, suggesting that therapeutic interventions and community support tailored to psychological wellness should be integral components of aging-related health strategies.

Age itself emerged as a significant factor, with individuals younger than 70 years more apt to reclaim well-being, highlighting a critical window during the aging process for targeted wellness interventions. Marital status and financial stability further influenced outcomes; those who were married and lived above the poverty line had higher odds of regaining wellness. These socio-economic markers underscore the interplay between social connectedness, economic resources, and health, reinforcing calls for societal policies that alleviate poverty and social isolation among older populations.

From a health behavior perspective, the study importantly identified the benefits of an active lifestyle. Engagement in physical activity consistently correlated with renewed optimal well-being, reinforcing decades of public health advocacy around exercise as a cornerstone of healthy aging. Simultaneously, abstaining from smoking, addressing sleep disturbances, and managing chronic conditions such as obesity, diabetes, arthritis, and osteoporosis emerged as crucial components in regaining wellness. This constellation of factors emphasizes the need for integrated healthcare models that intervene early and comprehensively across lifestyle and chronic disease management.

Ho and Fuller-Thomson’s research also acknowledges a contextual nuance: the Canadian healthcare system’s universal coverage may enhance access to preventative and chronic care services, potentially bolstering the observed rates of well-being restoration. However, the authors caution against overgeneralizing these findings to countries with different healthcare infrastructures or economic challenges, particularly low- and middle-income nations where barriers to healthcare access may dampen such outcomes, underscoring the importance of context in interpreting epidemiological data on aging.

Should future research confirm causality in these observed associations, the implications for public health policy are profound. The study advocates for interventions that simultaneously address physical health, psychosocial well-being, and social determinants to foster a resilient aging population. Programs aimed at encouraging physical activity, smoking cessation, sleep hygiene, and chronic disease management could be complemented by initiatives combating social isolation and providing accessible mental health resources, thereby crafting multifaceted support systems for older adults.

Moreover, the concept of “reclaiming” wellness introduced by Ho and Fuller-Thomson reorients aging narratives toward hope and possibility. It confronts ageist stereotypes that equate advancing years with inevitable decline, promoting instead a vision in which older adults can achieve substantial recovery and enrichment in well-being throughout later life stages. This paradigm shift has potential ripple effects not just in healthcare delivery but also cultural and societal attitudes toward aging.

The research also highlights the importance of self-rated wellness, an often-underappreciated metric that captures individuals’ subjective perception of their overall health and quality of life. By integrating these self-assessments with traditional health indicators, the study presents a more nuanced and person-centered understanding of well-being, reinforcing the value of patient-reported outcomes in gerontological research and practice.

According to lead author Mabel Ho, the study’s findings serve as a poignant reminder that the presence of good health alone does not define fulfillment in later life; rather, relationships, meaning, and joy are equally paramount. This holistic view insists that successful aging encompasses both medical and existential dimensions, which health systems and communities should strive to nurture.

Senior author Esme Fuller-Thomson emphasizes the urgency of investing in prevention, economic security, and inclusive wellness supports, framing these as not only prudent policies but as transformational investments capable of altering the aging trajectory for vulnerable older adults. This integrative approach could reduce healthcare burdens by mitigating decline and promoting recovery, ultimately fostering a society where aging individuals enjoy autonomy and vitality.

As the global population continues to age at unprecedented rates, studies like this offer critical evidence to guide innovations in social and health policy. The convergence of behavioral science, epidemiology, and social welfare illuminated in Ho and Fuller-Thomson’s work provides a roadmap toward sustainable and equitable approaches to aging that honor complexity and human dignity. Their research sets a new standard for how we understand and support well-being, encouraging a holistic, dynamic view of life course health.

In their call for action, the authors invite stakeholders at all levels to embrace a broader definition of health, integrate psychosocial dimensions into care models, and engage in proactive prevention and resilience-building. By doing so, society can help ensure that later life is not merely marked by survival but is vibrant with potential for flourishing and renewed wellness.

Subject of Research: People
Article Title: Reclaiming wellness: Key factors in restoring optimal well-being in the Canadian longitudinal study on aging
News Publication Date: 24-Sep-2025
Web References: http://dx.doi.org/10.1371/journal.pone.0329800
References: Ho M, Fuller-Thomson E (2025) Reclaiming wellness: Key factors in restoring optimal well-being in the Canadian longitudinal study on aging. PLoS One 20(9): e0329800.
Image Credits: Ho, Fuller-Thomson, 2025, PLOS One, CC-BY 4.0
Keywords: Aging, Well-being, Resilience, Psychological wellness, Physical activity, Chronic disease management, Social determinants, Longitudinal study, Health policy, Older adults, Canadian Longitudinal Study on Aging