The findings land at a moment when the arithmetic of aging is turning osteoporosis from a specialty concern into a public health problem that health systems can no longer afford to underestimate. Poland, like much of Europe, is graying rapidly, and the authors frame their work against national demographic data showing a growing population of postmenopausal women — precisely the group in which fragility fractures concentrate. Osteoporosis itself is deceptively quiet: bone mineral is lost without symptoms until a vertebra collapses or a hip gives way in a fall from standing height. Hip fractures are the costliest and most feared outcome, routinely triggering hospitalization, surgery, lasting disability, and elevated mortality in the months that follow. Yet the study’s broader context may be its most troubling dimension. A multi-country European study published in 2021 documented a persistent treatment gap — a large fraction of patients who meet risk criteria never receive therapy — and research in Austria and elsewhere has found that even surviving an osteoporotic fracture often fails to trigger appropriate treatment. In other words, the tools to predict fractures exist; the will and the systems to act on them frequently do not.

The new study was straightforward in design but unusually thorough in its comparison. A team led by corresponding author Rafał Hebel, with investigators including Wojciech Pluskiewicz, Piotr Adamczyk, Bogna Drozdzowska, and Hanna Hüpsch, largely affiliated with the Medical University of Silesia, enrolled 508 consecutive postmenopausal women attending three osteoporosis outpatient clinics. Consecutive recruitment — taking every eligible patient in sequence rather than selectively — reduces cherry-picking within the clinic setting. The women’s mean age was 69.8 years, with a standard deviation of 7.5, placing most participants squarely in the age band where fracture risk accelerates. Each participant provided a structured history of clinical risk factors: prior fractures, parental hip fracture history, smoking, glucocorticoid use, and the other variables the algorithms ingest. Bone status was measured at the hip with dual-energy X-ray absorptiometry using a Lunar Prodigy device — the densitometric standard that quantifies bone mineral density at the femoral neck, the site whose geometry and mineral content make it the critical weak point in age-related fracture. Armed with these inputs, the researchers computed each woman’s 10-year fracture risk with all three algorithms and then examined how well the tools agreed.

The three calculators represent three distinct philosophies of fracture prediction. FRAX, developed under the auspices of the World Health Organization at the University of Sheffield and described in its canonical form by Kanis and colleagues in 2008, integrates a panel of clinical risk factors — with or without femoral neck bone density — into a 10-year probability of hip fracture and of major osteoporotic fracture, a composite covering the spine, hip, forearm, and upper arm. Its distinguishing feature is calibration: probabilities are adjusted to country-specific fracture incidence and mortality, so the same risk profile yields different numbers in different health systems. The Garvan algorithm, built at Australia’s Garvan Institute from long-running osteoporosis epidemiology cohorts and formalized in nomograms by Nguyen and colleagues in 2007 and 2008, takes a different route: it explicitly incorporates falls — how many a woman has suffered in the past year — alongside age, weight, prior fractures, and bone density, and it outputs absolute risk of any fragility fracture as well as hip fracture over five and ten years. POL-RISK is the homegrown entrant, derived by the same Polish research group from their prospective RAC-OST-POL cohort and published in 2023; it is calibrated specifically to postmenopausal Polish women and expresses 10-year fracture risk for that population.

On average, the tools painted a consistently grim but numerically divergent picture. FRAX returned a mean 10-year risk of major osteoporotic fracture of 8.85 percent, with a standard deviation of 5.43, and a mean hip fracture risk of 3.23 percent, with a standard deviation of 3.72. Garvan’s mean 10-year risk of any fracture was 29.71 percent, with a standard deviation of 20.53, and POL-RISK, which like Garvan estimates any-fracture risk, was close behind at 28.1 percent, with a standard deviation of 14.85. Part of the gap is definitional rather than substantive: FRAX’s major category counts only four skeletal sites, while Garvan and POL-RISK estimate the risk of breaking any bone in a fragility event, so their averages would run higher even if the underlying models agreed perfectly. Part of it is philosophical: Garvan’s explicit weighting of falls and multiple prior fractures tends to inflate estimates in women who have them, and its hip fracture output — a mean of 13.33 percent against FRAX’s 3.23 percent — illustrates how differently two respected models can score the same woman. The wide standard deviations, particularly the 18.30 percent spread around Garvan’s hip estimate, signal a cohort spanning enormous heterogeneity, from women still years away from danger to those at imminent risk.

Translated into the binary language of clinical decision-making, the numbers become more striking. Using FRAX, 159 women — 31.3 percent of the cohort — crossed the 10 percent threshold marking high risk of major osteoporotic fracture, and 64 women, 12.6 percent, exceeded the very-high-risk mark of 15 percent. When the researchers applied the therapeutic thresholds embedded in Polish and European guidance across all three tools, the verdicts converged on a sobering majority: 316 women, or 62.2 percent, were flagged as high risk by FRAX’s major fracture output, 374 women, or 73.5 percent, by POL-RISK, and 298 women, or 58.5 percent, by Garvan. Read together, the message is hard to escape. Even the most conservative of the three calculators — the one that flags the fewest women — identifies nearly three in five patients as candidates for anti-osteoporosis therapy, and the most permissive identifies nearly three in four. For a condition whose fractures are, by definition, largely preventable with existing drugs, those proportions describe not a marginal shortfall in care but a structural one.

How well did the algorithms agree when applied to the same women? The researchers computed correlation coefficients across the cohort and found a hierarchy of concordance that is itself informative. Garvan and POL-RISK tracked each other almost in lockstep, with a correlation of r = 0.93 — a relationship so tight that the two tools are nearly interchangeable in how they rank patients. FRAX, by contrast, correlated more loosely with both: r = 0.66 against Garvan and r = 0.60 against POL-RISK, all associations statistically significant at p < 0.001. For hip fracture specifically, FRAX and Garvan hip-risk estimates correlated at r = 0.57. The pattern has a technical explanation rooted in the models’ architecture. Garvan and POL-RISK share the any-fracture endpoint, treat falls and prior fractures in overlapping ways, and draw on similar statistical lineages, whereas FRAX optimizes a narrower four-site outcome, adjusts for competing mortality, and handles falls only indirectly. In practice, this divergence means a real patient can be classified as high risk by one calculator and moderate by another — a discrepancy clinicians must resolve through judgment, and one reason the authors argue for understanding each tool’s proper domain rather than treating any single output as gospel.

The authors’ conclusion is pointed: in the group studied, fracture risk — especially hip fracture risk — is relatively high, and it is advisable to expand the population of postmenopausal women eligible for effective anti-osteoporosis therapy. That phrasing is a quiet challenge to current practice. Earlier work by the same team, including a 2024 comparison of the three algorithms in the GO study cohort, and studies from other countries have repeatedly shown that a large share of high-risk women receive no treatment at all, and that care pathways matter: patients managed in specialized osteoporosis clinics tend to be evaluated and treated more reliably than those cared for solely in general practice. The Polish National Health Fund’s own reporting on osteoporosis, which the authors cite, documents the scale of the national burden. What this new analysis adds is a quantified warning about the future: if hundreds of women presenting at just three clinics carry this much accumulated 10-year risk, the projected fracture burden — and the surgical, hospital, and long-term care costs that follow each broken hip — will climb unless treatment coverage expands substantially. The study thus reframes osteoporosis not as an inevitable tax on aging but as a widening gap between what risk calculators can see and what health systems actually act upon.

The study has limits that its design makes clear. The cohort consisted of women already attending osteoporosis outpatient clinics, so their risk profile likely exceeds that of the general postmenopausal population — this is a portrait of the treated end of the iceberg, not a community survey. The analysis is also cross-sectional: it compares predicted risks rather than tracking which women actually fracture over the coming decade, although all three algorithms were themselves validated in prospective cohorts, including the Polish RAC-OST-POL study from which POL-RISK emerged. Still, the convergence is the story. Three tools built on different continents, from different cohorts, with different statistical machinery — one calibrated to British epidemiology, one to Australian, one to Polish — looked at the same 508 women and agreed that a majority belong in the treatment conversation. For the millions of postmenopausal women who have never had a bone density scan, let alone a formal risk calculation, the findings carry a simple, unglamorous takeaway: the decade ahead can be forecast today with a questionnaire and a DXA scan, and forecasting it is the first step toward changing it.

In Costa Rica, the increasing incidence of hip fractures can be attributed to various factors including lifestyle choices, nutritional deficiencies, and the inevitable aging of the population. The study by Perez and colleagues meticulously examined the rates at which these fractures occur in different demographic groups, revealing stark disparities that necessitate targeted intervention. Understanding these fractures’ epidemiology is vital for forming comprehensive public health policies that address the needs of affected individuals.

The research involved an expansive cohort of patients who experienced hip fractures, analyzing their age, gender, and health backgrounds. This multifaceted approach allowed the researchers to identify correlations between fracture events and variables such as bone density, comorbidities, and lifestyle factors. In doing so, significant differences emerged along demographic lines; for instance, older adults, especially women, showed a higher incidence of hip fractures compared to their younger counterparts. This demographic targeting allows for improved risk assessment and prevention strategies.

In addition to identifying risk factors, this study emphasizes developing specific thresholds for determining fracture risk. The authors argue that existing global guidelines are often disconnected from local realities, thus underscoring the urgency for nationally tailored frameworks. By establishing country-specific thresholds, healthcare practitioners in Costa Rica can deliver more accurate evaluations regarding an individual’s likelihood of suffering a fracture, paving the way for more personalized medical care and preventive measures.

The research incorporates advanced methodologies to gauge and analyze fracture risks, including the application of state-of-the-art imaging technologies and demographic-based algorithms. These tools enhance the precision of the research findings, ensuring that they are not only robust but also relevant to current healthcare needs. The utilization of such technology highlights the importance of integrating modern advancements in medical research to not only assess current health trends but also to anticipate future needs.

Furthermore, nutritional factors emerged as critical components in the study. The investigations revealed that deficiencies in calcium and vitamin D significantly contribute to bone health deterioration, thus heightening the fragility associated with hip fractures. These findings compel health authorities to rethink dietary guidelines and public health strategies regarding nutrition, especially for older adults, who may be more susceptible to these deficiencies.

Another pivotal aspect of the study is its focus on the socio-economic determinants of health. The research indicated a clear correlation between economic status and the incidence of hip fractures. Individuals from lower socio-economic backgrounds often lacked access to appropriate healthcare resources, which exacerbated their risks. It calls for an increased emphasis on health equity to ensure that all citizens have access to preventative healthcare services, regardless of their financial status.

Moreover, the documentation of post-fracture outcomes presents further implications for healthcare services. Understanding the recovery trajectories of individuals who have sustained hip fractures is essential for developing effective rehabilitation programs. The data provided insights into the long-term consequences of such injuries, revealing that many individuals face significant challenges in regaining mobility and independence after a fracture. This necessitates a multifaceted approach that addresses not only the acute care following a fracture but also the long-term rehabilitation needs.

In light of these findings, healthcare professionals are urged to heighten awareness regarding the prevention of hip fractures. Educational campaigns can arm patients with knowledge about the importance of maintaining bone health through lifestyle changes, strengthening exercises, and proper nutrition. By fostering a proactive approach, it becomes possible to mitigate the factors contributing to the rising incidence of hip fractures in Costa Rica and beyond.

The implications of this research extend beyond Costa Rica, serving as a model for other countries facing similar challenges in fracture epidemiology. The insights gained from tailoring risk assessment thresholds to local populations could inspire similar studies in different regions, thereby enhancing global understanding and prevention of hip fractures.

Overall, the study conducted by Perez et al. represents a vital contribution to the literature concerning hip fractures. It underscores the importance of a locally informed approach to understanding and preventing fractures, ultimately promoting better health outcomes for aging populations. As governments and health organizations confront the challenge of rising fracture rates, this research will undoubtedly play a pivotal role in shaping future strategies.

In conclusion, the research underscores a pressing public health issue that requires immediate attention. By focusing on the unique epidemiological profile of hip fractures in Costa Rica, the authors advocate for an evidence-based and personalized approach to fracture prevention and treatment. This research not only contributes to the scientific literature but also highlights the critical need for agile and responsive healthcare systems that can adapt to the evolving needs of aging populations.

The evidence presented calls for collaborative efforts among policymakers, healthcare providers, and communities to foster environments conducive to bone health. The emphasis on localized data and tailored interventions echoes through the call for comprehensive strategies beyond mere awareness, aiming to bring tangible improvements in healthcare delivery.

As we look toward the future, the ongoing research and its derived insights pave the way for developing innovative and evidence-based public health policies. The challenge is substantial, but the potential for improved health outcomes through targeted education and treatment is within reach.

Subject of Research: Epidemiology of hip fractures in Costa Rica and risk assessment thresholds.

Article Title: Epidemiology of hip fractures in Costa Rica and development of country-specific thresholds to estimate fracture risk.

Article References:

Perez, S.C., Cruz-Priego, GA., Clark, P. et al. Epidemiology of hip fractures in Costa Rica and development of country- specific thresholds to estimate fracture risk.
Arch Osteoporos 21, 30 (2026). https://doi.org/10.1007/s11657-026-01659-z

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s11657-026-01659-z

Keywords: Hip fractures, epidemiology, Costa Rica, risk assessment, prevention, healthcare.