Burden disparities of genitourinary diseases among adults aged 55 and older in Europe: trends from 1990 to 2021 and projections to 2030: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Genitourinary diseases significantly affect the quality of life of elderly individuals in Europe, yet comprehensive studies on their burden remain limited. This study used Global Burden of Disease (GBD) 2021 data to analyze the burden of genitourinary diseases in adults aged 55 and older in Europe from 1990 to 2021, with projections to 2030 to inform policy development. MATERIALS AND METHODS: Using GBD 2021 data, we assessed the burden of genitourinary diseases in European adults aged 55 and older, analyzing incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) rates. Associations with socioeconomic indicators, including the Socio-Demographic Index and Human Development Index (HDI), were analyzed using Spearman's correlation. Temporal trends were examined through Estimated Annual Percentage Change and Autoregressive Integrated Moving Average models. RESULTS: In 2021, Europe emerged as the region with the highest proportion of elderly populations globally. Among European nations, the Russian Federation reported the highest incidence rates of certain genitourinary diseases, including urinary tract infections (UTI) and interstitial nephritis (IN) at 10188.73 (95% UI 8549.59-11914.66), urolithiasis at 8538.61 (95% UI 6976.70-10,315.88), and benign prostatic hyperplasia at 1377.63 (95% UI 1040.48-1702.85) per 100 000 population. Greece exhibited the highest DALYs, mortality, and YLL rates related to chronic kidney disease. Notable gender and age disparities were evident, with males generally bearing a heavier burden across the majority of genitourinary disorders, except for UTI and IN, where females, particularly those aged 55-64, demonstrated a higher incidence. Socioeconomic factors also impacted these burdens, with higher HDI scores associated with increased mortality ( R = 0.50, P < 0.001) and YLDs ( R = 0.37, P = 0.014). Projections indicated that the burden of genitourinary diseases would continue to rise across most European countries over the next decade, while countries like Poland and Iceland were expected to experience declines. CONCLUSION: Genitourinary diseases are increasingly burdening Europe's aging population. Addressing regional, gender, and socioeconomic disparities is critical for developing effective, age-sensitive healthcare policies and strengthening healthcare systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".