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Clinical Nutrition (Poster Session)

(P25-005-25) The Assessment of Glycemic Control, and Bone Health Biomarkers

Monday, June 2, 2025
11:45 AM - 12:45 PM ET
Location: Poster Board D-58

    Presenting Author(s)

  • AA

    Asma A. Altasan, PhD, RDN, IBCLC

    Assistant Professor
    King Saud bin Abdulaziz University for Health Sciences
    Jeddah, Makkah, Saudi Arabia

    • Co-Author(s)

  • DA

    Daniyah Alrshaid

    King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia

  • RA

    Renad Alhendi

    King Saud bin Abdulaziz University for Health Sciences, Makkah, Saudi Arabia

  • RA

    Ruba Almadni

    King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia

Disclosure(s):
Asma A. Altasan, PhD, RDN, IBCLC: No relevant financial relationship(s) with ineligible companies to disclose.


Objectives: This study aims to investigate the relationship between bone health biomarkers, and glycemic control across varying BMI categories (normal weight, overweight, and obese) in adults aged 18-40 years.

Methods: This retrospective cross-sectional study was conducted at King Abdulaziz Medical City in Jeddah, Saudi Arabia. Data from 300 non-diabetic adults aged 18–40 years were extracted from electronic medical records spanning from year 2019 to 2024. Participants were categorized into three BMI-based categories: normal weight, overweight, and obese. Variables included demographic data, glycemic markers (fasting blood glucose (FBS), HempoglobinA1C (HbA1c)), bone health markers (ALP, vitamin D), and inflammatory biomarker parathyroid Hormone (PTH). Statistical analysis was conducted using SPSS software, the Kruskal-Wallis test was used for groups comparisons and Spearman correlation for associations. Statistical significance was set at p < 0.05.

Results: The study found no significant differences in glycemic markers (HbA1c, fasting blood glucose), bone health markers (ALP, vitamin D), or inflammatory biomarker (PTH) across BMI categories. Spearman correlation analysis revealed a weak but significant positive association between ALP and HbA1c (r = 0.144, p < 0.05) and FBS (r = 0.217, p < 0.05). These results suggest that ALP may serve as a marker of metabolic health.

Conclusions: This study highlights the potential role of bone health markers, particularly ALP, in understanding metabolic health in non-diabetic individuals. While no significant differences were observed across BMI categories, the weak correlation between ALP and glycemic markers underscores the possible link between bone metabolism and glucose regulation. Future longitudinal studies with comprehensive datasets are needed to validate these findings and explore targeted interventions for metabolic and skeletal health in the early adulthood.

Funding Sources: King Saud University for Health Sciences
King Abdullah International Medical Research Center