# What the Latest Data Shows About Life Expectancy

Global life expectancy has officially rebounded from the severe mortality shocks caused by the COVID-19 pandemic, reaching a worldwide average of 73.3 years in 2024. While total lifespans continue to stretch globally, recent demographic research indicates a significant slowing in the rate of this growth, shifting the scientific and public health focus toward "healthspan"—the number of years a person lives free from chronic disease and debilitating frailty.

## The Post-Pandemic Rebound: Recovering Lost Years

For the better part of a century, the trajectory of human longevity moved reliably in one direction. Advances in sanitation, the development of antibiotics, expanded vaccination programs, and modern emergency care successfully added decades to the average human lifespan. Prior to the pandemic, global life expectancy at birth had increased by more than six years since the turn of the millennium, rising from 66.8 years in 2000 to 73.1 years in 2019 [cite: 1]. Healthy life expectancy—a metric that accounts for years lived in good health—also rose by 9% during that same period, primarily due to declining mortality rather than a reduction in years lived with disability [cite: 1]. 

However, the emergence of the SARS-CoV-2 virus triggered a historic disruption to this long-standing demographic trend, erasing nearly a decade of public health progress in just two years [cite: 1, 2, 3]. The COVID-19 pandemic was linked to an estimated 22.1 million excess deaths globally between 2020 and 2023, a figure roughly three times higher than the officially reported COVID-19 fatalities [cite: 4, 5]. 

This massive surge in mortality, encompassing both direct viral infections and indirect deaths caused by strained healthcare systems, caused global life expectancy to plummet. By 2021, global life expectancy had dropped by 1.8 years to 71.4 years, effectively rolling back the clock to 2012 levels [cite: 1, 2, 3]. The effects were felt unevenly across the sexes. While both men and women experienced significant declines globally, women saw a sharper drop in life expectancy during the second year of the pandemic, even though men consistently exhibited higher excess mortality rates overall [cite: 2, 5]. 

### The Current Global Trajectory

Today, the demographic picture is stabilizing, though the recovery remains geographically uneven. According to the United Nations Population Division’s World Population Prospects 2024 revision, global life expectancy reached 73.3 years in 2024, signaling a return to pre-pandemic levels in nearly all countries and areas [cite: 6, 7, 8]. This current figure represents an overall historical increase of 8.4 years since 1995 [cite: 6]. 

Demographers project that further reductions in mortality will result in an average global longevity of around 77.4 years by the year 2054 [cite: 6]. This projected growth will unfold alongside significant global demographic shifts. The United Nations anticipates that the world's population will continue to grow for another 50 to 60 years, peaking at approximately 10.3 billion people in the mid-2080s before beginning a gradual, prolonged decline [cite: 6]. Currently, one in four people globally lives in a country whose population has already peaked in size, reflecting declining fertility rates worldwide, which currently stand at a global average of 2.25 to 2.3 live births per woman [cite: 6, 7]. 

The main driver of global population increase through the mid-century will be the momentum created by rapid growth in the past. Today's youthful age structure will account for 79 percent of the population increase through 2054, adding about 1.4 billion people, even as birth rates fall to replacement levels [cite: 6]. As a result, by the late 2070s, the number of persons aged 65 years and older is projected to reach 2.2 billion, officially surpassing the number of children under age 18 globally [cite: 8].

## Global Divides: Longevity Leaders and Laggards

Averaging global life expectancy obscures the massive disparities that exist between different regions, economies, and healthcare systems. How long a person can expect to live is heavily dictated by geography, income levels, access to preventative care, and social safety nets. The gap between the longest-living and shortest-living populations remains vast, spanning over three decades of life [cite: 9].

| Region / Country | Average Life Expectancy (Both Sexes) | Female Life Expectancy | Male Life Expectancy | Primary Influencing Factors |
| :--- | :--- | :--- | :--- | :--- |
| **Monaco** | 86.5 years | 88.6 years | 84.6 years | Universal healthcare, very low infant mortality, high GDP, robust social safety nets [cite: 9, 10]. |
| **San Marino** | 85.8 years | 87.2 years | 84.3 years | High wealth, comprehensive social support systems, advanced medical infrastructure [cite: 9, 10]. |
| **Japan** | 84.8 years | 87.9 years | 81.8 years | Strong preventative primary care, low metabolic disease rates, cultural health literacy [cite: 9, 10, 11]. |
| **United States** | 79.5 years | 81.1 years | 75.8 years | High healthcare spending paradoxically offset by unequal access, chronic disease, and drug overdoses [cite: 10, 12]. |
| **Global Average** | 73.8 years | 76.4 years | 71.2 years | Steady improvements in sanitation and medicine in developing nations over recent decades [cite: 10, 13]. |
| **Central African Rep.** | 57.7 years | 59.3 years | 56.1 years | Ongoing conflict, limited healthcare access, malnutrition, infectious diseases [cite: 9, 14]. |
| **Chad** | 55.2 years | 57.0 years | 53.4 years | High infant mortality, food insecurity, lack of medical infrastructure [cite: 9, 10, 14]. |
| **Nigeria** | 54.6 years | 55.3 years | 53.9 years | Though improving from decades past, still hindered by poverty and communicable diseases [cite: 9, 10, 15, 16]. |

At the top of the longevity spectrum are small, incredibly wealthy territories like Monaco, San Marino, and Hong Kong, alongside developed East Asian nations like Japan and South Korea [cite: 9, 10]. These populations benefit from universal healthcare, exceptionally low crime rates, strong social safety nets, and diets rich in whole foods and seafood [cite: 9]. In these high-income regions, life expectancy routinely pushes well into the mid-to-late 80s [cite: 10].

Conversely, the lowest life expectancies are concentrated almost exclusively in Sub-Saharan Africa. Countries like Nigeria, Chad, and the Central African Republic report average life expectancies in the mid-50s [cite: 9, 10, 17]. However, it is vital to contextualize these figures. While low by global standards, they represent significant, hard-won progress. Two to three decades ago, the HIV/AIDS epidemic ravaged life expectancies across Sub-Saharan Africa [cite: 15]. Today, thanks to massive public health interventions, new HIV infections have fallen by 70 percent in the African Region since 2010, and tuberculosis incidence has dropped significantly [cite: 4, 18]. Furthermore, global under-five mortality has declined by 51 percent since the year 2000 [cite: 18]. These interventions are steadily pushing African life expectancies upward, even as challenges like malnutrition, limited medical infrastructure, and emerging non-communicable diseases remain formidable hurdles [cite: 9, 19].

### The American Paradox and the Latino Health Advantage

The Americas present a complex and often contradictory demographic picture. In the United States, life expectancy dropped to a multi-decade low of 76.4 years in 2021 due to a lethal combination of the COVID-19 pandemic and a massive surge in drug overdose deaths [cite: 12]. By the 2023–2024 reporting periods, the U.S. had rebounded to roughly 79 years, though it still ranks remarkably low—often cited around 62nd globally—for a high-income, developed nation [cite: 10, 12]. 

The United States represents a profound healthcare paradox: it outspends every other country on earth in healthcare per capita (exceeding $9,400 annually), yet suffers from lower life expectancies than dozens of nations that spend a fraction of that amount [cite: 10, 20, 21]. Public health analysts attribute this disconnect to highly unequal access to care, systemic poverty, and an overwhelming prevalence of preventable chronic conditions like heart disease, obesity, and type 2 diabetes [cite: 10, 20, 22]. Furthermore, North America is currently experiencing alarming spikes in mortality among adolescents and young adults due to a pervasive mental health crisis, reflected in rising rates of suicide, substance abuse, and excessive alcohol consumption [cite: 19].

Within the broader U.S. demographic data, however, a well-documented epidemiological phenomenon known as the "Latino Health Paradox" persists [cite: 12]. Despite facing higher rates of poverty, lower health insurance coverage, language barriers, and limited access to preventative care, Hispanic and Latino Americans consistently outlive the national average by roughly two years [cite: 12]. Current data shows Latino life expectancy in the U.S. at approximately 81.3 years, with Latina women reaching 84.0 years and Latino men averaging 78.5 years [cite: 12]. Public health researchers attribute this enduring survival advantage to a complex mix of protective sociological factors, including strong multigenerational family networks, lower smoking rates, and protective cultural behaviors that are particularly prevalent among first-generation immigrants [cite: 12].

Latin America and the Caribbean, a region that suffered a severe 2.9-year drop in life expectancy during the peak of the pandemic, are also in a period of recovery [cite: 3]. The region's average life expectancy is projected to reach approximately 76 years by 2025 [cite: 23]. However, much like North America, Latin American nations are increasingly battling a rise in non-communicable diseases as unhealthy processed foods and sugary beverages become more common in local diets, alongside declining physical activity levels [cite: 19].

## Debunking the "Dead at 30" Historical Myth

When modern readers encounter statistics indicating that the average life expectancy in the Roman Empire, the Middle Ages, or even the mid-19th century was around 30 to 40 years, it is incredibly common to assume that ancient humans essentially died of old age in their mid-thirties [cite: 24, 25]. This represents one of the most pervasive and fundamental misunderstandings of demographic statistics in popular culture [cite: 24, 26].

Life expectancy at birth is a statistical average, and mathematically, this average is highly sensitive to infant and child mortality rates [cite: 24, 26, 27]. Before the advent of modern sanitation, municipal water treatment, vaccines, and antibiotics, a staggering number of children died before reaching their fifth birthday [cite: 24, 28]. 

For instance, demographic records show that in 1850 in England and Wales, life expectancy at birth was just 42 years. This was primarily because over 25 percent of all children died before the age of five [cite: 24]. When a quarter of a population dies at age zero, one, or two, it violently drags the mathematical average downward, completely obscuring the reality of adult lifespans [cite: 25, 26, 29]. If a person in 1850 managed to survive the perilous childhood years and reach adolescence, their life expectancy rose immediately to 57 [cite: 24]. In fact, approximately 10 percent of the people born in that era lived to see their 80th birthday [cite: 24]. 

### Period vs. Cohort Life Expectancy

To truly understand this statistical quirk, one must understand how demographers actually calculate life expectancy. The most common metric reported by global health organizations and the media is "Period Life Expectancy at Birth" [cite: 27]. This metric calculates the mean length of life of a hypothetical group of people who are assumed to experience the exact mortality rates observed in a given single year, from birth through death [cite: 27]. 

Because Period Life Expectancy is a snapshot of a single year's death rates across all age groups, it is easily skewed by immediate, temporary crises—such as a viral pandemic, a regional war, or historically high infant mortality [cite: 27]. By contrast, "Cohort Life Expectancy" tracks the actual mean length of life of a specific birth cohort (e.g., everyone born in 1900), but this can only be perfectly computed once the entire cohort has passed away [cite: 27].

In early medieval England, archaeologists estimate that infant mortality was roughly 50 percent [cite: 30]. If half of a population dies in infancy from childhood diseases, and the other half lives to age 60, the average period life expectancy at birth mathematically lands at roughly 30.5 years [cite: 30]. This statistic does not mean the adults were physically decrepit and dying of natural old age at 30; it simply means the average is a mathematical middle ground between massive infant casualties and normal adult survival [cite: 26, 30]. Historical evidence from tombstones and funerary inscriptions further complicates this, as ancient peoples often rounded their ages to the nearest meaningful number, and infants were rarely buried in marked cemeteries, making archaeological age estimations difficult [cite: 25, 30].

Therefore, humanity's massive leap in life expectancy over the last century—from roughly 47 years in 1900 to over 73 years today—was not primarily achieved by slowing the biological aging process or drastically extending the maximum capacity of the human body [cite: 29, 31, 32]. The vast majority of those statistical gains were won by conquering infectious diseases and drastically reducing infant mortality, shifting the curve so that children who would have historically died of measles, cholera, or simple infections could survive into adulthood [cite: 29, 31, 33]. 

## Lifespan vs. Healthspan: The Crucial Distinction

As modern medicine has become exceptionally skilled at preventing early death, a new, complex public health paradox has emerged: we are keeping people alive longer than ever before, but we are not necessarily keeping them healthy [cite: 33, 34]. This reality has led the scientific and medical communities to draw a sharp, necessary distinction between two metrics: *lifespan* and *healthspan* [cite: 35, 36, 37]. 

Lifespan simply refers to the total number of years a person remains alive [cite: 38]. Healthspan, conversely, measures the number of years a person lives in good health—free from chronic disease, debilitating pain, significant disability, and cognitive decline [cite: 34, 35, 38]. 

The World Health Organization formalizes this concept through a metric called Healthy Life Expectancy (HALE) [cite: 11, 39, 40]. HALE calculates the average number of years a newborn can expect to live in "full health" by taking the overall life expectancy and subtracting the years lived in less than full health due to disease or injury, adjusted for severity [cite: 39, 41]. 

### The Widening Gap of Morbidity

Globally, the average HALE in 2021 was approximately 63.7 years [cite: 11]. When compared to the global average lifespan of roughly 73.3 years, this reveals a global "healthspan gap" of approximately 9.6 to 10 years [cite: 11, 37, 38]. 

| Region / Country | Total Life Expectancy | Healthy Life Expectancy (HALE) | The Healthspan Gap |
| :--- | :--- | :--- | :--- |
| **Singapore** | 84.0 years | 76.2 years | ~7.8 years of poor health |
| **Japan** | 84.8 years | 74.0 years | ~10.8 years of poor health |
| **Global Average** | 73.3 years | 63.7 years | ~9.6 years of poor health |

*Data synthesis derived from WHO Global Health Estimates 2024 and regional demographic reports [cite: 1, 11, 37, 38, 42].*

This gap dictates that the average person currently spends the final decade of their life managing chronic, non-communicable illnesses, physical frailty, or cognitive decline [cite: 34, 35, 37]. Modern healthcare excels at identifying pathology once it crosses a critical threshold—reacting to heart attacks or aggressive infections to prevent total mortality—but it historically struggles to address the slow-accumulating biological damage that leads to chronic disease years before a formal diagnosis is made [cite: 34].

### Squaring the Curve of Vitality

The primary objective of modern longevity medicine is not necessarily to push the absolute limits of human survival to 120 years or beyond, but to "square the curve" of healthspan [cite: 34]. In a standard model of human health, vitality tends to peak in early adulthood and undergo a long, slow, agonizing decline over several decades. The goal of health optimization is to keep physical and cognitive capacity at its absolute peak for as long as possible, running perfectly parallel to chronological age, followed by a very rapid decline only at the very end of life—effectively shrinking the years spent in morbidity [cite: 34].

Medical experts often rely on a vehicle maintenance analogy to explain this paradigm shift to the public [cite: 43]. Standard acute medical care acts much like a tow truck: it waits until a biological engine catastrophically fails—a myocardial infarction or a stroke—and then intervenes to prevent the vehicle from being scrapped, leaving the patient alive but functioning at a permanently diminished capacity [cite: 34]. Longevity and healthspan medicine, on the other hand, operates like meticulous preventative maintenance [cite: 34, 43]. Just as a car can be kept in near-perfect condition indefinitely through constant repair, fluid changes, and part replacement before failure occurs, proactive health strategies attempt to optimize biological functions to prevent cellular damage from accumulating in the first place [cite: 34, 43].

## Have We Reached the Biological Ceiling?

If we can maintain our biology, is there a definitive limit to how long humans can live? This question is currently the subject of fierce and fascinating debate within the scientific community. 

Throughout the 20th century, life expectancy in developed nations increased at an astonishing rate of about three years per decade [cite: 44]. Observing this relentless upward line on the graph, many optimists and futurists extrapolated the trend, suggesting that radical life extension was imminent and that the first person to live to 150 years old had already been born [cite: 44, 45]. However, a landmark study published in the prestigious journal *Nature Aging* in late 2024 poured cold water on these radical predictions [cite: 44, 46].

Epidemiologist S. Jay Olshansky and his team analyzed mortality data spanning from 1990 to 2019 across countries boasting the highest life expectancies in the world, including Japan, South Korea, Australia, France, Spain, and the United States [cite: 28]. They found that while total longevity is technically still increasing, the *rate* of that increase has decelerated considerably, particularly since 2010 [cite: 28, 44]. The researchers concluded that humanity is rapidly approaching a biological limit, revealing what they term a "glass mortality floor" [cite: 33]. 

The paper argues that humanity's battle for a long life has largely been accomplished [cite: 45]. The easy victories of public health—vaccines, sanitation, and early disease detection—have already been won [cite: 44, 45]. These medical interventions acted as highly effective "Band-Aids" that prevented early death from extrinsic causes, but they did absolutely nothing to alter the fundamental, intrinsic biological process of aging [cite: 33, 44]. Because human bodies have not evolved the physiological capacity to maintain themselves indefinitely, allowing more people to survive into their 80s simply exposes them to the inevitable, systemic breakdowns of old age [cite: 33]. Under current medical paradigms, the study suggests average life expectancy is likely to plateau around 85 to 90 years, and that radical life extension in the twenty-first century is highly implausible [cite: 44, 45].

### The Second Longevity Revolution

Not all scientists view this statistical plateau as an impenetrable brick wall. Researchers like William Mair, a professor of molecular metabolism at the Harvard T.H. Chan School of Public Health, agree that traditional public health measures have reached diminishing returns, but point out that humanity has not yet deployed strategies explicitly designed to alter human biology [cite: 33]. Similarly, demographic researchers at the Max Planck Institute for Demographic Research argue that while progress is difficult, optimistic alternative scenarios involving new medical frontiers should not be ignored [cite: 46].

If the first longevity revolution was achieved by stopping infectious diseases and acute trauma, the second revolution will require targeting the cellular hallmarks of aging itself [cite: 33, 45]. The nascent longevity industry is currently exploring highly advanced fields like cellular reprogramming, senolytics (the use of targeted drugs to clear out old, toxic "zombie" cells that cause inflammation), and metabolic modulation [cite: 33, 47, 48]. The emergence of GLP-1 receptor agonists (originally developed for diabetes and weight loss) has also shown promise, with the medical community increasingly accepting that these drugs possess certain systemic anti-aging properties [cite: 48]. While this field is in its infancy and remains highly experimental, researchers argue there is no strictly intellectual or physical reason why the biological ceiling of 90 years cannot be broken if science successfully manipulates the aging process directly at the cellular level [cite: 33].

## The Science of Living Longer: Evidence-Based Habits

While the scientific community searches for pharmaceutical longevity breakthroughs and complex cellular therapies, vast troves of epidemiological data show that daily lifestyle choices remain, by far, the most powerful tool currently available for extending both lifespan and healthspan [cite: 32, 49].

A common public misconception is that extreme longevity is primarily dictated by winning the genetic lottery. However, recent studies clarifying the role of heritability indicate that while DNA plays a substantial role—accounting for up to 55 percent of intrinsic lifespan variation when excluding random accidents and infections—environmental and lifestyle factors firmly control the remaining 45 percent [cite: 32, 50]. Furthermore, a comprehensive 2025 analysis utilizing data from the UK Biobank found that environmental and lifestyle factors have a far more profound impact on biological aging and premature death than genetic factors [cite: 51]. The researchers analyzed 164 different environmental variables and found that factors such as physical activity, sleep hours, socio-economic stress, and living conditions directly dictate the onset of chronic disease and proteomic aging [cite: 51].

Two massive longitudinal studies—one conducted by Harvard University and another involving hundreds of thousands of U.S. Veterans—have quantified exactly how many years these behavioral habits can add to an average human life. 

### The Harvard Lifestyle Study

Researchers at the Harvard T.H. Chan School of Public Health analyzed data from over 120,000 adults tracked over a period of 34 years [cite: 20, 52]. They identified five specific, low-risk lifestyle factors that drastically alter mortality rates:

First, adherence to a high-quality diet. The researchers defined this as a plant-forward approach, closely mirroring the Mediterranean or DASH diets, which emphasize high intakes of vegetables, fruits, nuts, legumes, whole grains, and healthy fats (like omega-3s), while severely limiting red and processed meats, sugar-sweetened beverages, and refined carbohydrates [cite: 20, 32, 52]. 

Second, regular physical activity. The study measured this as engaging in at least 30 minutes of moderate to vigorous physical activity daily [cite: 20, 52]. Cardiorespiratory fitness is continually labeled by longevity experts as perhaps the single best predictor of how long a person will live [cite: 48].

Third, maintaining a healthy body weight. This was defined strictly as keeping a Body Mass Index (BMI) within the normal range of 18.5 to 24.9, which prevents the systemic metabolic strain associated with obesity [cite: 22, 52].

Fourth, a complete avoidance of smoking. Smoking is definitively linked to massive reductions in lifespan, severely damaging lung capacity, cardiovascular health, and increasing the risk for numerous cancers [cite: 22, 32, 51].

Fifth, moderate to no alcohol consumption. While older studies from previous decades suggested that moderate drinking might have mild cardiovascular benefits, the modern scientific consensus has shifted significantly. The current guidance, supported by recent comprehensive studies, is that the less alcohol consumed, the better, with strict limits of one drink or less per day for women and two or less for men if one chooses to drink at all [cite: 22, 32, 48].

The results of combining these five habits were striking. Compared to individuals who adopted none of these habits, 50-year-old women who maintained all five lived an average of 14 years longer, and men lived 12 years longer [cite: 20, 52]. Crucially, these were largely *healthy* years; individuals practicing four or five of these habits lived roughly a decade longer completely free from diabetes, cardiovascular disease, and cancer [cite: 52, 53].

### The Veterans Affairs (VA) Study

A massive 2023 study involving over 700,000 U.S. veterans expanded upon the Harvard framework, identifying eight key habits that dramatically lengthen life [cite: 54, 55]. In addition to maintaining a good diet, exercising regularly, avoiding smoking, and avoiding excessive alcohol, the researchers identified four more critical pillars of longevity.

They highlighted the necessity of good sleep hygiene. Chronic lack of sleep, or highly irregular sleep patterns, impairs metabolic regulation, promotes dangerous systemic inflammation, and disrupts circadian rhythms, leading to an increased risk of obesity, diabetes, and accelerated biological aging [cite: 55, 56, 57]. 

The researchers also pointed to the importance of managing stress. Chronic psychological stress floods the body with cortisol and prevents the physiological nervous system from returning to a calm baseline state. Over time, this chronic activation damages organs, weakens the immune system, and significantly raises the risk of heart disease [cite: 37, 54]. 

Maintaining positive social relationships was another major factor. The U.S. Surgeon General has officially declared loneliness an epidemic, equating the mortality risk of severe social isolation to smoking up to 15 cigarettes a day [cite: 37]. Strong social ties and a sense of community actively reduce stress, lower inflammation, and provide a sense of life purpose, which is statistically associated with longer survival [cite: 52, 56]. 

Finally, the study emphasized remaining free from opioid addiction, eliminating the massive risk of overdose and physiological destruction associated with dependency [cite: 54, 55].

The VA study found that a 40-year-old man adopting all eight habits could expect to live a staggering 24 years longer than a peer with none of them; a woman could add 21 years to her lifespan [cite: 54, 55]. The researchers noted that while starting these habits early in life is optimal, making these behavioral changes in one's 50s or 60s still yields massive, compounding benefits to both total lifespan and the quality of those remaining years [cite: 54].

## Bottom line

The latest demographic data confirms that global life expectancy has successfully recovered from the mortality shocks of the COVID-19 pandemic, resuming its historical upward trajectory to reach a global average of 73.3 years. However, as the rate of this lifespan increase slows—indicating a potential biological ceiling to human longevity—the focus of modern medicine is shifting from merely extending the years of life to expanding "healthspan," the years lived free from chronic disease. While future breakthroughs in cellular biology may eventually shatter this biological ceiling, adopting rigorous, evidence-based lifestyle habits today—such as consistent physical activity, a plant-forward diet, prioritized sleep, and strong social connections—remains the most effective, scientifically proven method to close the gap between how long we live and how long we truly thrive.

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58. [Sync Healthspan with Lifespan - UCLA Health](https://www.uclahealth.org/news/article/lifespan-vs-health-span-sync-them-up-with-these-healthy)
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40. [who.int](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGWfNxeKJjXCD-lM61sp67lqGs0PZ_08HgPTNTsrSNAYN02AhX0TyyjaPH-shx-w1Qh5qk3vsNQ38ol6hK6R8RFm9eRBG8Je1LjBBjsQ2_rCGP3Q-kfodqr4edV1EoRWazh6guU)
41. [ourworldindata.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEbZ0rcjZcxgtQDqtSFxskwMxrkL5QpM6r72kf3bP1gz8ceftQQZ2Lzbcyv8xNZNoALP87kyoZ0CliMd5gj2ai8qdQ0oqVzrhuuGfCzWRQWqItwc7qapumJcmgCVE-Ib7-asFfu98h1A8iGoO5kkYvYyLRQh8Yk-Es=)
42. [who.int](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF4VwuffXPMUJiOO0yrUHZq-88-t06_gqbgHQa0LjssWpYPYoaRTQmpitJiyanIVapx-WmqgSm-mKVGA24gHbpKTgwvn1WojXvyjoT4l_D-9i8jf-6UuIp65HdnkOiE8NAP00BHr9JG64g=)
43. [fightaging.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQESc6XLM90CCrR_C00InRBoFanHTzuq3sgedLX00vTMhJdAEtnV8qaVsxtixpcaKDpwaO-kTl-SeVhppzF5rjpkO7jihqobippHObgNJp5qPj-2fxLX14Ymi7fwJjh3z3FcNw7I84BRr7OD8FQSZ5DHHkuE6wcG-kGYACQClVkgD2GxYpg3IlskpnXRBqJEQkPFV6zWrfS6)
44. [smithsonianmag.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFuC7z8Olgfm7aTqmDTGjDgaMF-_FceKdP6cTvvrX-yNlSNOiGeBd_kyjKfhttJtdDVCTk01W4FAGRvtqJUOCvKqLSYI64ktwzB425eIybEjxp0uR6SIHaMFTt5eJx66KsQjsJJyotDtN-xiLmkk2sstg9G8rSUcSVI6AYfYXoRO8-D1SovrBOG5-KAxuksRe2n1df9DIu5aonzN7brjzx9r3goMg==)
45. [parliament.uk](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWsphHaNn7CPsV2q9_nFqaDAFJPNHBzV_5VmHbFHBszoqcIw7QRYHaNGn9pCKWmJr6Bov04PnmxlCOqLD9gYYdxaICK859d9JvMSD6ZLusarpCta1l566JfDAvNRta2gKO_e_OYP8OcoGXERAjBmaKoaWZGvAOIN-lxT9-dhU_GcFW3mQ=)
46. [mpg.de](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH8cZQz4BMZ8XpxwFfJJFrf0aBI5P3ZPgKNxbEApaKX2Lhz74mh6enzXjP3Pd6G1anERzK1HZophA6IIi1y32Pc0ffgo48Mw3OP_AqPrnJ01kX3Lfcd_saoaKlAL_r1cD63oJb_Ur-T86PBD1u1RmJIdvYO5JQZ-bdDMRZaIVO-dYSfcTqtJtJBlcU_EdmmLGmKQhcbqD9M133eqV1ix7B5wEY2pJPl76ydKQ-IaHAlyah82JPXgdGyTUWV3rwevpNxaQ==)
47. [longevityinvestorsnews.ch](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGZQEzAVDtHPiS2iPaU8I8UkkqbXMRdTOGS8XmxZmEdiWOGg2NoQDe9XKhZMD6weYVjsci2ZPbmh1NaoZ-LPWb4nEosIo3i4_KsJ5s3U1jaaa3LGEvmDtw9pIerh2om3fGLztFsoZ1m4lpKWsd7vHsnDNaRFUI0rfFVsdz2pYEB8wSv2Z8YcD-zAzjWVsXVtt-vLg==)
48. [lifespan.io](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG79RdbOfy3vQoHXHSNQ4JUC4ncVZIMwabn3lM72lYgGDYQs---hUuaU8jBn6mtbfhk_sDMxdWmFUNscafZA2jWnAuKy0gFLJcS4EYuia9OWyVeT3dY1qwosqYAyLA_sRbvnoGeMntrqQQkfw8IkHwxNWujJvV8g4K5CoLkGRu6BmdgvLUb)
49. [dvcstem.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFlPNolvJbDBhGNoC4M6-HY5g9pYiJkdVLjiVoPPVdhkilggz9cLd3oTcA4l0_-ge1zUnIRZfhh_-tD7hD58YrcEMnhKA9sD3bQ7oO86g4m_RmlSs8EzukyYP0xQoVY-HoXgSL3)
50. [prevention.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHeIMGLUaGIQ7lf206gYMfXFZae9RQpczyDPwn41KjFNLo1-SWq4Mi_k2TO6QRY0zV-0KU3_GA4EjEpaOOFrUpY0kdfHyz2w7RKESu584xbYTUAWswvsdU-Z1e8KsFz4rNnl7Qv6-DVx0r1AStiPD-CQHezwqColA==)
51. [medicalnewstoday.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEnKf-SSmJWPk-lWOmPHgKuerh1RWgb89QwRYl0Exh45wQMu9dowekLmH4p-Y9IegCJPop4MxD-MKWfUPRJYHEj6Nm_ObiOET4ygIQr9JTuLLoYV0gfTiTyrNYEAsqNzmeoT93yingIjc4V2-9xcz_SoO90zySDGlpFb5BkOXF6Yy-CCFxb7m1Wx6Dg1H5A3HLvZsGjijj5Ij2Z_2kuiySObh2t-UlKWyzN-WvbASAl4_02VQ==)
52. [harvard.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH3y7wYVzQbt3mm8IsYxEn-Yz49NMK0VzhPVd2r8WjdHDIBlVw9Axvlvq7-QQYra9etTQ8ZcnTarf4iDygOV9I9EvvgZZhQonzCFdE3YMsI_4ymk_ufNj2P4SCniJ6teWrX4chhqyQVxx_61Gh72RRd)
53. [theladders.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG2mQhWvx9yuIAesISn5V8oeGmE7pYhjds9Hkr1CS7gFk_Uj_LwALTFKAtx7FGxO_7aX_UpDGX91gaqcAgq8bdUJlAzr8TuNwX4pG5clJXSnhysOLhUCPmRnYAByNxi_e60UTnwkVXNf3sLNniAIWEFS9-ZX75VFvvT4OMdbQL5FaSWMoH6n826m7YHEEzHrmnZrHsJPQJtw0jFENgrLQRAdEmEJ-eG)
54. [nutrition.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH5TcQCjJc5bSvbtaWztWixfAtRn_98l8E57XSEMVyHCt3AqL7PjRanlAudESw1cnzmkcBGbfGuAxo9RBzTTKhnUNh14bZaUJzM8G9sjc7paAW9qR8V4Z_xSZT8cAXzetuLwWzR7G-0k8lWhgYvtJqKqXmgehjNfv-oHUJsELNPKrqX)
55. [medicalnewstoday.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEy7HwrzhrZcnBt9O3XmAl2rJvsQiqZeeMqG2ZGXA1aKvevHw7uMwGyEKgPhedEiZrHL1II5T1IIzo-70uKDDMqlLUwm5MgTXCmEycOU1hEQc7n-YRcalOE8ScWeszH0iE0ellt688pZ0LNTjVqF4O0XH72VI5nidaAU4tw-Z1GNj5En8rAQjLxoMR-cnoPmM4xkA==)
56. [healthline.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHNoyNWi5nti4L_4go79uz1Rhcg-kTLTCVcQ4NG7390tzrnSKsAsbhvkAXUao48iqLBcNp7DO4qcr4xgH9VWndvGWYFf9cVRtgtQnqHiNR2lKY36-IhI5M-F5tvIjIOC0WQBCbhSlU_LnT8o7XaXZD69vdoIG7p-Ydx)
57. [indiatimes.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHOdsoBvrrfbygurEDM3WGftTlSz_FQfFEbxXlq4iDa8-W18zfWtkoBOTdIEbcRn4wJT0UyCPfwZ4YaRtSaLO9aFdWo9ZGxP5JQg215s9eAnB2LX71xIw_reCM3JOEERWOiAR6mXJOrcVTqR0juPjQxyeREhtfbkSR1ZBjpGw5sxaMRv7vEMZw7AaQhwa23L33xF2_4aGZpaTEAqD7EskSYjCO5Q4E5js4ldPabCLbb2O72_JiWVn4WS5WgpWXnEh2O1KqPiLlMpzLzEMjy56ZMT0YNYev2gnbJ-nHNYUML6G9F8CjFGMAtTg==)