The methodological strength of the study lies in its use of continuous-time multi-state Markov models, a statistical framework that treats functional health not as a fixed state but as a dynamic process. Rather than asking simply whether digitally excluded people are more likely to be disabled, the researchers modeled transitions between four distinct states: functional independence, mild functional limitations, severe functional limitations, and death. Functional capacity was measured using standardized assessments of six basic activities of daily living—such as dressing, bathing, and walking across a room—and six instrumental activities, including meal preparation, shopping, and managing medications. Mild limitation was defined as difficulty with at least one instrumental activity while remaining independent in basic ones, whereas severe limitation involved difficulty with any basic activity. Death was incorporated as an absorbing state, allowing the team to estimate how digital exclusion shaped not only the risk of entering disability but also the likelihood of recovering from it and the probability of dying at each level of function.

The results were striking in their consistency. Digital exclusion significantly increased the risk of progressing from functional independence to mild limitations in England (hazard ratio 1.47), China (2.56), the United States (1.98), and Europe (1.83). The transition from independence directly to severe limitations was also elevated across all settings, with hazard ratios ranging from 1.24 in Mexico to 1.81 in China. Among those already experiencing mild limitations, digital exclusion accelerated further deterioration in the United States and Europe. More troubling still, the study found that being offline impaired recovery: severely limited individuals who were digitally excluded were substantially less likely to regain functional independence in England (hazard ratio 0.74), the United States (0.55), and Europe (0.72), and digitally excluded people with severe limitations faced elevated mortality in England (1.59), the United States (1.36), and Europe (1.36).

The life expectancy calculations translate these transition dynamics into a metric with immediate public resonance. Using the fitted multi-state models, the researchers estimated total life expectancy and “marginal” life expectancy—the expected number of years spent in each functional state—at nine ages from 50 through 90. Digital exclusion was associated with a loss of functional life expectancy ranging from nearly four years at age 50 in Mexico to more than 14 years at age 50 in China, with statistically significant losses at every age examined. Total life expectancy losses followed a similar pattern, from roughly 2.8 years in Mexico to 8.15 years in the United States at age 50. In China and the United States, digitally excluded individuals also spent significantly more years living with mild and severe limitations, suggesting a dual penalty: shorter lives overall and a larger proportion of those lives constrained by disability.

Why the effects vary so dramatically between countries is one of the study’s most illuminating contributions. The authors propose a framework of “digital-healthcare coupling”: where medical resources, appointment registration, and care coordination have migrated overwhelmingly onto digital platforms, being offline compounds barriers to timely and appropriate care. China exemplifies this pattern. During the study period, tertiary hospitals—which concentrate the country’s best expertise and equipment—increasingly required electronic health cards linked to mobile payment systems for registration, consultation, payment, and prescriptions, effectively channeling digitally excluded patients toward resource-poor primary care facilities. Mexico sits at the opposite pole: walk-in pharmacy-adjacent clinics offering low-cost consultations without appointments, and traditional medicine practices used by as many as 12 to 60 percent of the population—particularly in rural areas—provided robust non-digital pathways to care, attenuating the marginal health cost of being offline.

The recovery findings follow a similar institutional logic. Impaired recovery from severe limitations appeared exclusively in high-income settings—England, the United States, and Europe—where health systems have increasingly embedded telerehabilitation and digital service delivery into rehabilitation care. In contrast, China’s “Internet Plus Healthcare” initiatives during the study years emphasized diagnosis and treatment through hospital-to-hospital networks rather than patient-facing rehabilitation, while both China and Mexico relied heavily on facility-based services and family caregiving rooted in traditions of filial piety and familismo. In such contexts, the incremental burden of digital exclusion on recovery appears weaker, underscoring that the health consequences of the digital divide are not universal but are shaped by how health care is organized and delivered.

The stratified analyses add further nuance. The harm of digital exclusion was greatest at younger ages: losing 14 functional life-years at age 50 versus just over 3 years at age 90 suggests that lacking digital access in midlife forecloses decades of accumulating “health capital”—better information, stronger social connection, and more effective use of health services. Counterintuitively, individuals without chronic diseases suffered larger life expectancy losses than those with chronic conditions, perhaps because healthy people depend on the internet for preventive resources such as lifestyle information, screening reminders, and monitoring tools, whereas chronically ill patients remain tethered to structured, often non-digital, clinical care routines. Sex differences also emerged: in China, men lost more total life expectancy while women accumulated more years with limitations, and in the United States women fared worse on both counts. Notably, urban–rural differences were minimal across all settings, suggesting that non-digital alternatives—or their absence—shape the digital divide’s health impact more than geography.

The mechanisms linking connectivity to physical function are plausible and multifaceted. Internet access facilitates health information seeking, telehealth consultations, real-time monitoring, and the purchasing of medications and health devices. It also sustains social participation: internet users engage in more social activities, experience less isolation, and adopt more beneficial health behaviors. Prior research cited in the study found that digital inclusion was associated with a 33 percent reduction in depression likelihood among retired adults and improved “intrinsic capacity” across cognitive, sensory, physical, and functional domains. Conversely, prior multinational work has linked digital exclusion to functional dependency, frailty, cognitive impairment, and depressive symptoms across dozens of countries. The new study extends this evidence base by showing that these associations translate into fundamentally different aging trajectories—differential risks of deterioration, recovery, and death—rather than static cross-sectional differences.

The authors are candid about the study’s limitations. Digital exclusion was operationalized differently across cohorts: most measured individual internet use, but the Mexican survey assessed only household internet access, and some cohorts applied frequency thresholds such as weekly use. The measure captures access—the foundational barrier—rather than the full multidimensional construct of digital literacy and usage competency. Functional limitations were self-reported difficulties rather than observed care dependency, and income data were unavailable or unreliable in some cohorts, particularly China, where over 40 percent item non-response and systematic misreporting complicated adjustment; the authors note this may have produced some upward bias in the Chinese estimates. Sensitivity analyses using simplified three-state models, ADL-only definitions, and additional covariates confirmed the robustness of the core findings.

The policy implications are difficult to ignore. As health systems worldwide accelerate digital transformation—from online appointment booking to app-based prescription services—the study warns that efficiency gains may come at the cost of equity, with the heaviest burden falling on those least equipped to bear it. The authors argue that digital inclusion should be treated as a modifiable determinant of healthy aging and integrated into national aging strategies, with interventions targeted particularly at midlife and “younger-old” populations, where the returns on connectivity are largest. Equally important, they caution, is the preservation of non-digital access channels—telephone appointments, walk-in clinics, face-to-face consultations—so that health care does not become contingent on a broadband connection. In an era when getting older increasingly means navigating a screen, the study suggests that the choice to digitize is also a choice about how many years, and what quality of years, societies are willing to let their most disconnected citizens lose.

The study was led by researchers from Geneva University Hospitals and involved data from two major longitudinal cohorts: 8,511 participants in the English Longitudinal Study of Ageing, or ELSA, and 22,605 participants in the Canadian Longitudinal Study on Aging, or CLSA. All participants were between 50 and 85 years old. Rather than examining health at a single point in time, the researchers analyzed repeated measurements collected over several years to estimate how physical abilities changed as participants aged. This longitudinal design allowed the team to distinguish between having a lower level of function and experiencing a faster decline, two processes that are often combined in conventional health comparisons.

Researchers evaluated several indicators of physical capability. Walking speed provided a measure of mobility and overall neuromuscular performance, while grip strength served as an established marker of muscle function, frailty risk, and future disability. Lung function was assessed using forced expiratory volume, or FEV, which reflects how much air a person can forcefully exhale in a specified period. The analysis also considered hearing and self-reported difficulty with everyday activities such as dressing, bathing, and eating. These tasks are important because they capture the practical consequences of ageing: whether people can remain independent, move safely through their environment, and manage basic routines without assistance.

To model the trajectories, the investigators used mixed-effects statistical models. These models can account for repeated observations from the same individual while also estimating average patterns across an entire population. The researchers included age, age squared, and birth year to represent both the gradual and potentially nonlinear nature of ageing. Sex, race, height, wealth, and the interaction between wealth and age were also incorporated. The wealth-by-age interaction was particularly important because it tested whether socioeconomic position was associated not merely with different starting points, but with different rates of decline. Additional analyses adjusted for chronic diseases, body weight, and health-related behaviors including smoking, allowing the researchers to determine whether these factors fully explained the observed inequalities.

They did not. Across both countries, people with less wealth tended to show lower physical function and larger losses over time. The pattern was most apparent for walking speed and the ability to perform daily activities, suggesting that financial disadvantage may accumulate into a growing loss of physical independence. The wealth gradient was also visible in grip strength and lung function, although the size and direction of some associations varied by sex and country. Because the study was observational, it cannot establish that low wealth directly causes faster ageing. Wealth may influence housing, nutrition, working conditions, neighborhood safety, healthcare access, stress exposure, and opportunities for physical activity, while early-life circumstances and unmeasured health factors may influence both wealth and later function.

The contrast between England and Canada was one of the study’s most striking findings. Although both countries provide universal healthcare and have broadly comparable levels of income inequality, the gaps associated with wealth were consistently larger in England for several measures of functional ageing. For walking speed, the researchers estimated an apparent age difference of roughly 15 years between the least and most wealthy groups in England, compared with approximately nine years in Canada. These estimates do not mean that a person’s chronological age has changed, or that every individual in a wealth group follows the same trajectory. Instead, they compare predicted levels of function across socioeconomic groups and express the difference in terms of the age at which similar performance is typically observed.

The researchers also identified important differences between women and men. Among the least wealthy participants, women experienced greater difficulties with mobility and daily activities than men in the same socioeconomic group. At the same time, women in this group showed better lung function than their male counterparts. This divergence illustrates why broad measures of disadvantage can conceal meaningful differences within populations. Physical function is shaped by the interaction of sex, occupational history, health behaviors, disease patterns, social roles, and exposure to economic hardship. The authors describe their approach as intersectional because it examines how these dimensions combine rather than treating all disadvantaged adults as a single, uniform category.

The findings carry implications for public health policy because functional decline is closely connected to falls, disability, institutional care, social isolation, and healthcare use. Interventions that begin only after severe disability appears may miss the period when differences are still modifiable. Policies supporting secure housing, adequate income, nutritious food, safer neighborhoods, accessible transportation, preventive healthcare, and opportunities for lifelong physical activity could help reduce the conditions that accelerate loss of function. The results also suggest that universal healthcare alone may not eliminate health inequalities. Medical treatment is only one influence on ageing; the social and physical environments in which people live may determine whether they can maintain strength, mobility, and independence over decades.

Silvia Stringhini, the study’s senior author, said the larger wealth gaps observed in England were unexpected and that the comparison could not yet explain why the two countries diverged. Stephanie Schrempft, the first author, emphasized that lower wealth was associated not simply with worse health at a given age, but with losing physical independence more rapidly. The authors caution that their analysis could not fully account for childhood conditions or access to private healthcare, and that the results should not be interpreted as proof of a direct causal pathway from wealth to ageing. Further cross-country research is now planned to investigate which structural factors may be responsible for the different trajectories.

The study offers a measurable way to understand socioeconomic inequality as a time-related process. Two people who are the same chronological age may have very different levels of mobility, strength, respiratory capacity, and ability to manage daily life, and those differences can widen as they grow older. By tracking these changes in large populations, researchers can move beyond the question of who is healthier at one moment and ask how social conditions influence the pace of functional ageing. The evidence from England and Canada indicates that reducing inequality will require more than encouraging individual lifestyle changes. It will also require structural policies aimed at preventing disadvantage from becoming a faster loss of physical capability and independence.

Subject of Research: People

Article Title: Socioeconomic inequalities in functional ageing trajectories in England and Canada: A comparative longitudinal cohort study

News Publication Date: August 13, 2026

Web References: https://plos.io/4wbNOyC; https://doi.org/10.1371/journal.pmed.1004833

References: Schrempft S, Vereecke S, Nehme M, Schmidt KL, Guessous I, Kobor MS, et al. (2026). “Socioeconomic inequalities in functional ageing trajectories in England and Canada: A comparative longitudinal cohort study.” PLOS Medicine 23(8): e1004833.

Image Credits: Schrempft S, et al., 2026, PLOS Medicine, CC BY 4.0

Keywords: ageing, healthy ageing, socioeconomic inequality, wealth, physical function, mobility, walking speed, grip strength, lung function, disability, England, Canada, longitudinal study, public health, PLOS Medicine

Clonal hematopoiesis arises when blood-forming stem cells accumulate mutations and expand into dominant clonal populations. While such expansions are common in older adults, not all are equally risky. The key challenge has been distinguishing which biomarkers merely correlate with clonal hematopoiesis from those that reflect upstream mechanisms driving it.

To address this, the researchers leveraged OmniAge to connect aging signatures to “mitotic clocks,” molecular patterns that track the cumulative number of cell divisions over time. Instead of treating age-related omics as a static snapshot, the team modeled how division-linked processes might predict the emergence and persistence of clones.

Methodologically, the study integrates biomarker discovery with causal inference strategies. By testing whether mitotic-clock–linked features explain variation in clonal hematopoiesis beyond conventional aging measures, the authors argue for a directional relationship rather than a purely observational one.

The results suggest that mitotic clocks capture biological strain that promotes clonal selection in hematopoietic lineages. In other words, accelerated or dysregulated cell division history may create the evolutionary conditions for certain mutant clones to outcompete their neighbors.

The OmniAge framework also provides a unified resource for researchers, consolidating aging-related omics markers that can be interrogated across cohorts. This is positioned as a step toward translating biomarker panels into mechanistic hypotheses that can be tested experimentally.

Crucially, the paper frames clonal hematopoiesis not only as a marker of aging but as a downstream outcome of division-linked processes with identifiable causal footprints. That framing could sharpen risk stratification and guide future interventions aimed at preserving hematopoietic function.

If validated across diverse populations, these findings may help clinicians interpret aging biomarker readouts in terms of underlying cellular history. More broadly, OmniAge may become a template for linking multi-omic aging data to causal pathways across diseases.

Subject of Research: Aging omic biomarkers; clonal hematopoiesis; mitotic clocks; causal inference
Article Title: The OmniAge compendium of aging omic biomarkers links mitotic clocks to clonal hematopoiesis and causality.
Article References: https://doi.org/10.1038/s41467-026-76038-w
DOI: 10.1038/s41467-026-76038-w
Keywords: OmniAge; aging biomarkers; mitotic clocks; clonal hematopoiesis; causality; multi-omics

Physiological age is intended to capture functional wear-and-tear across multiple organ systems. In parallel, cultural engagement—such as visiting cinemas, museums or theatres—has been repeatedly associated with better health and well-being in older adults, but direct evidence connecting culture to physiological ageing has been limited.

To address this gap, researchers from the Institute of Science Tokyo conducted a longitudinal study designed to reduce bias from confounders that remain stable over time. They analysed data from 1,899 adults in the English Longitudinal Study of Ageing, a nationally representative cohort of people aged 50 and over living in England.

Participants contributed biomarker data at at least two time points between 2004/2005 and 2008/2009. Nurses measured 10 physiological indicators—pulse pressure, diastolic blood pressure, forced expiratory volume, haemoglobin concentration, fibrinogen, glycated haemoglobin, LDL cholesterol, body mass index, grip strength and walking speed—to build a composite physiological age score.

Cultural engagement was assessed via a questionnaire asking frequency of visits to the cinema, museum/art gallery, and theatre/concert/opera. Responses were scored on a 0–5 scale (never to at least twice per month), producing a combined score from 0 to 15.

Participants with higher cultural engagement reported physiological ages averaging 66.9 years, compared with 69.9 years among those with lower engagement—about a three-year difference. After adjusting for confounding factors including household income, employment status and chronic health conditions, each additional point on the cultural engagement scale corresponded to a 0.085-year (31-day) lower physiological age.

The authors propose plausible pathways: frequent cultural participation may strengthen social ties, encourage healthier behaviours, and support mental health, each of which could slow biological ageing processes. However, the study’s observational design means cause and effect cannot be confirmed.

The team also acknowledges potential reverse causation, where individuals in better health may be more able to attend cultural events. Even so, the report argues that cultural engagement is modifiable and could be comparable in impact to frequent physical activity.

Further research is needed to test whether promoting cultural engagement leads to durable improvements in long-term health and healthy ageing.

Subject of Research: People
Article Title: Cultural engagement and physiological ageing: a fixed-effects analysis
News Publication Date: 14-Jul-2026
Web References: http://dx.doi.org/10.1136/jech-2025-225753
References: Journal of Epidemiology and Community Health; DOI: 10.1136/jech-2025-225753
Image Credits:

Keywords: cultural engagement, physiological ageing, biomarkers, longitudinal study, older adults, social participation, healthy ageing, observational research, fixed-effects analysis