Abstract: FR-PO245
Correlation of Global Climate Change and Kidney Stone Awareness: A Temporal Trends Analysis, 2004-2023
Session Information
- Mineral Bone Disease: Transplant and Kidney Stones
October 25, 2024 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Bone and Mineral Metabolism
- 502 Bone and Mineral Metabolism: Clinical
Authors
- Aiumtrakul, Noppawit, Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii, United States
- Poochanasri, Methavee, Department of Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand
- Kookanok, Chutawat, Department of Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand
- Thongprayoon, Charat, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States
- Suppadungsuk, Supawadee, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, United States
- Krisanapan, Pajaree, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, United States
- Cheungpasitporn, Wisit, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, United States
Background
Kidney stones become more prevalent and create impacts on global health. Stone formation is a multifactorial process influenced by dietary, genetic, lifestyle and geographical factors. This study aims to investigate relationships between kidney stone awareness on Google search trends and global temperature over the past 20 years.
Methods
The study utilized Google Trends to quantify awareness of kidney stones, measured by relative search volume (RSV). Pearson’s correlation and linear regression model were employed to evaluate the association between the RSV of kidney stones and average global land temperature each month from 2004 to 2023.
Results
The scatter plot showed a clear positive correlation between land temperature and the RSV of kidney stones, indicating increased searches as temperature rises. Despite some data dispersion, the linear regression line's imperfect fit highlighted the relationship's complexity. The modest R-squared value at 0.227 suggested temperature explains only a small portion of search volume variance, hinting at additional influencing factors. The predicting equation for kidney stone search volume by land temperature is Y=39.87+ 20.65*X. In regression analysis, for every unit increase in land temperature, RSV increases by 20.65 (p < 0.01). For every standard deviation increase in land temperature, RSV increases by 0.477 (p < 0.01).
Conclusion
The correlation between kidney stone RSV and global temperature underscores climate change impact on public health information-seeking behavior. While temperature is influential, other factors also found affect search volume, highlighting the necessity for comprehensive research. Further exploration of these factors is vital for effective public health interventions and management strategies.