A Challenge Identifying Essential Factors for Avoiding Diseases from the Confirmed Information of Survival / Death Using Community Health Check-ups Data: Focusing on BNP, FLC , HbA1c, and LDL-C S
Year: 2024
Type: article
Study design: Observational Study
Abstract: Purpose: We aimed to identify critical factors for long-term health maintenance and disease prevention by analyzing biomarkers and health data from community health check-ups.Methods: We analyzed data from 1,105 residents participating in a community health examination in August 2007.After applying propensity score matching to adjust for age and gender, we selected 400 participants (200 men and 200 women) for detailed analysis.We utilized logistic regression to identify mortality risk factors based on survival data collected 11 years post-examination.Results: Our analysis revealed that Brain Natriuretic Peptide (BNP), free light chains (FLC L ), and glycated haemoglobin (HbA1c) are significant mortality risk factors.We found that BNP is linked to heart failure, HbA1c to diabetes, and FLC L to immune function.Higher levels of these biomarkers are associated with increased mortality risk, highlighting their predictive value.Conclusion: We believe incorporating these biomarkers into routine health check-ups is essential for enhancing early detection and prevention of chronic diseases.By identifying high-risk individuals through these measures, healthcare providers can implement timely interventions promoting healthier aging and longevity.Our study underscores the necessity of proactive health management strategies to mitigate risks associated with chronic conditions, ultimately contributing to better health outcomes in the population.We are confident that integrating these biomarkers into health assessments can surely help in preventing undiscovered diseases and improve overall public health.
Authors: Akihiro Sonoda, Toshio Shimada, Isao Yasuda, Akira Matsumori
Institutions: Shizuoka General Hospital, Kyoto Medical Center
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4404543522
