The researchers used data from the English Longitudinal Study of Ageing, or ELSA, collected between 2004 and 2023, and the China Health and Retirement Longitudinal Study, known as CHARLS, collected between 2013 and 2020. Their analysis included 5,720 ELSA participants and 987 CHARLS participants, all at least 50 years old and free of hearing loss at baseline. Participants reported whether they experienced urinary incontinence and whether they developed hearing difficulties during subsequent assessments. Because both exposure and outcome were tracked over time, the study could examine the temporal relationship between the two conditions more effectively than a one-time survey, although it remained an observational analysis.

In the English cohort, participants who reported urinary incontinence had an 18.2 percent higher estimated hazard of subsequently reporting hearing loss than those without incontinence after statistical adjustment. The hazard ratio was 1.182, with a 95 percent confidence interval from 1.041 to 1.342 and a P value of 0.010. In epidemiological studies, a hazard ratio above 1 indicates a higher rate at which an event occurs in one group relative to another during the observation period. The confidence interval in this case remained above 1, supporting a statistically detectable association in the ELSA data. The size of the association was modest, however, and does not indicate that most people with urinary incontinence will develop hearing loss.

The Chinese cohort showed an association in the same direction, but the estimate was larger and less precise. CHARLS participants with urinary incontinence had an estimated 52.3 percent higher hazard of self-reported hearing loss, corresponding to a hazard ratio of 1.523. The 95 percent confidence interval ranged from 1.001 to 2.317, with a P value of 0.049. The broad interval reflects the smaller sample and suggests substantial uncertainty around the precise magnitude of the relationship. Replication of the direction of the finding across two culturally distinct populations strengthens the signal, but the different estimates also show why the result requires confirmation in larger and independently collected cohorts.

The study does not establish a biological mechanism connecting bladder control with auditory decline. Several pathways could potentially contribute to the observed pattern. Urinary incontinence and hearing loss both become more common with age and may reflect shared vulnerability involving the nervous system, blood vessels, muscles or general physical function. Conditions such as diabetes, cardiovascular disease and reduced mobility can affect multiple organ systems at once. In addition, people with hearing difficulties may have greater difficulty communicating symptoms during medical visits, while people managing incontinence may experience social isolation, sleep disruption or reduced activity. These possibilities are hypotheses rather than conclusions from the analysis, because the available data cannot determine whether one condition directly produces the other.

The investigators adjusted their models for multiple participant characteristics and used multivariable Cox proportional-hazards models to estimate the relationship. Cox models are commonly used for longitudinal data because they account for both whether an event occurs and how long participants remain under observation before the event is reported or the study ends. The researchers also conducted analyses stratified by age and sex. In CHARLS, exploratory results suggested that the association could be stronger among participants younger than 70, whose hazard ratio was 3.490, and among women, whose hazard ratio was 1.666. These subgroup results had wide confidence intervals and should be viewed as preliminary rather than definitive evidence that age or sex changes the relationship.

To explore whether urinary incontinence could contribute to risk prediction, the team also applied feature-importance analysis and built predictive nomograms. Feature-importance methods rank variables according to how much they contribute to a prediction model, although such rankings do not prove causation. In both cohorts, urinary incontinence consistently appeared as a relevant associated feature for self-reported hearing loss. The nomograms combined several predictors into graphical tools that estimate an individual’s probability of reporting hearing loss. The researchers reported good calibration, meaning that predicted probabilities generally agreed with observed outcomes, as well as positive net benefits in decision-curve analysis. Decision-curve analysis evaluates whether using a model could offer more clinical benefit than treating everyone or no one across a range of risk thresholds.

The study’s reliance on self-reported conditions is an important limitation. Self-reported hearing loss can reflect actual auditory impairment, but responses may also be influenced by awareness, communication difficulties, stigma and access to hearing tests. Objective measures such as pure-tone audiometry would provide a more standardized assessment of hearing sensitivity. Similarly, urinary incontinence can vary widely in frequency, severity and cause, yet a simple self-report may not distinguish stress incontinence, urge incontinence, overflow incontinence or mixed symptoms. The researchers also note that the analysis was retrospective and observational. Even after adjustment for measured factors, unmeasured confounding could explain part of the association, and the results may not generalize to populations outside the two national studies.

The authors propose that questions about urinary incontinence could eventually help clinicians identify older adults who might benefit from prioritized hearing assessment, especially where routine audiological screening is difficult to deliver. Any such approach would need prospective validation, objective hearing measurements and testing in additional healthcare systems before it could become standard practice. For now, the result offers a potentially useful connection between two widespread age-related health concerns rather than a new diagnostic rule. As populations age, recognizing interactions among sensory, neurological and functional conditions may help healthcare teams move beyond isolated disease checklists and toward more integrated assessments of older adults’ health.

The authors conducted a retrospective cohort analysis, which involved diving deep into clinical data to distill insights that could potentially reshape the approach to preventive healthcare in older adults. As populations age and the prevalence of cardiovascular diseases and osteoporosis continues to rise, understanding these interrelationships becomes paramount in tailoring effective health strategies. This investigation serves as a timely reminder of the multifaceted nature of health, where the intersection of various physiological systems must be considered.

FRAX, or the Fracture Risk Assessment Tool, calculates the probability of fractures over the next decade based on several clinical risk factors, including age, sex, body mass index, and previous history of fractures. In tandem, the T-score quantifies bone density relative to a young adult reference population, indicating whether an individual has normal bone density, osteopenia, or osteoporosis. By combining these two established metrics, the study aims to provide a more nuanced perspective of potential cardiovascular risks associated with abnormally low bone density.

Previous studies have demonstrated that low bone density is not merely a risk factor for fractures but is associated with increased cardiovascular morbidity and mortality. However, this connection has often been overlooked in traditional risk assessments that primarily focus on cardiovascular-specific measures. The current research fills this crucial gap by integrating bone health data into cardiovascular risk assessments, thus potentially revolutionizing screening protocols for older adults.

The cohort analyzed in this study consisted of a diverse group of elderly participants, drawn from various regions of Thailand, ensuring a representative sample. The researchers rigorously evaluated each participant’s FRAX score and T-score while tracking cardiovascular events over a significant follow-up period. Such a comprehensive approach not only enhances the robustness of the findings but also provides compelling evidence for the clinical implications of the research.

One of the pivotal aspects of this study lies in the statistical models employed, which are critical for determining the correlation between bone density and cardiovascular risk. The authors undoubtedly navigated a myriad of confounding factors, such as comorbidities, lifestyle choices, and medication adherence, all of which play a role in the health outcomes of older adults. By meticulously controlling for these variables, the researchers bolster the credibility of their findings and reinforce the argument for a broader health assessment framework.

Through their analysis, the researchers revealed an alarming trend: individuals with lower T-scores exhibited significantly higher FRAX scores, suggesting an elevated risk for both fractures and cardiovascular events. This dual vulnerability poses profound clinical implications, as it indicates that patients with osteopenia or osteoporosis should be monitored not only for skeletal health but for cardiovascular health as well. This insight may prompt healthcare providers to develop more integrative care plans aimed at mitigating these interconnected risks.

Furthermore, the findings accentuate the necessity of healthcare professionals receiving training on the importance of incorporating bone health evaluations into routine cardiovascular risk assessments. By broadening the scope of risk factors considered during patient evaluations, practitioners can enhance the accuracy of their predictions and, consequently, improve patient outcomes. It also calls for a shift in medical guidelines to reflect this interconnectedness, advocating for more comprehensive screening practices tailored to the unique needs of older adults.

The implications of this research extend beyond individual patients, as they touch upon broader public health strategies. In societies with aging populations, like Thailand and many Western countries, the morbidity associated with both osteoporosis and cardiovascular diseases is poised to rise. Thus, implementing preventative measures that consider both conditions may alleviate the burden on healthcare systems and improve quality of life for millions of older adults.

As the discourse surrounding the integration of bone health and cardiovascular risk deepens, researchers and healthcare providers must consider innovative approaches to public health education. Raising awareness about the significance of bone density and its far-reaching implications may empower older adults to engage in preventative strategies, such as weight-bearing exercises, dietary modifications, and regular health screenings.

In conclusion, the findings of Theerapakanunt et al. serve as a clarion call for the healthcare community to reevaluate traditional risk assessment models. By embracing this integrated perspective, there is significant potential to enhance the quality of care for older adults, ultimately leading to improved outcomes in both skeletal and cardiovascular health. As the field advances, further research will be essential to establish definitive guidelines and interventions that harness the insights gained from this study.

The revelation that bone health can directly impact cardiovascular risk in older adults signifies a transformative shift in our understanding of geriatric health. This research not only fills critical gaps in existing literature but also paves the way for future explorations that can deepen our understanding of how various health systems interconnect. As healthcare providers begin to consider bone health as a vital component of cardiovascular risk management, the potential for enhanced patient outcomes becomes increasingly promising.

Despite the significant strides made, it is crucial to remain vigilant about the need for ongoing research in this domain. Addressing the nuances of how different populations may exhibit varying responses to the FRAX and T-score metrics remains an area ripe for exploration. This line of inquiry could lead to tailored approaches that account for ethnic, environmental, and lifestyle differences, ensuring that all older adults receive the best possible care based on their unique circumstances.

As we reflect on the findings presented and the broader implications for public health, the importance of an interconnected understanding of health is clear. By fostering collaboration across different healthcare disciplines, we can enhance our capacity to address the multifaceted challenges that come with aging populations. It is imperative that we mobilize resources to support interdisciplinary research and clinical practices that champion a holistic view of health—one that acknowledges the integral role of bone health in overall well-being.

Subject of Research: The relationship between bone density and cardiovascular risk in older adults.

Article Title: FRAX in conjunction with T-score predicts cardiovascular risk in older adults: a retrospective cohort bone density study from Thailand.

Article References:

Theerapakanunt, N., Jannoo, S., Leelawattana, R. et al. FRAX in conjunction with T-score predicts cardiovascular risk in older adults: a retrospective cohort bone density study from Thailand. Arch Osteoporos 20, 125 (2025). https://doi.org/10.1007/s11657-025-01606-4

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s11657-025-01606-4

Keywords: Bone health, cardiovascular risk, FRAX score, T-score, elderly health assessment.