Posters
Presenting Author Academic/Professional Position
Medical Student
Academic Level (Author 1)
Medical Student
Academic Level (Author 2)
Medical Student
Academic Level (Author 3)
Faculty
Presentation Type
Poster
Discipline Track
Clinical Science
Abstract Type
Research/Clinical
Abstract
Background: The underserved community that is the Rio Grande Valley (RGV), has a distinct demographic profile, with a high prevalence of chronic conditions such as diabetes and obesity, that warrants investigation of various health issues. The main objective of our study was to analyze the demographic disparities between osteoporosis, osteomalacia, rickets, Paget bone disease, and osteonecrosis in the RGV. We hypothesized that the frequency of osteoporosis would be the most common bone condition (of those analyzed) in the Rio Grande Valley and that the demographics between the various bone conditions would vary depending on age, sex, BMI, and ethnicity but not on marital status.
Methods: This was a retrospective chart review which gathered data from the University of Texas Rio Grande Valley (UTRGV) UTHealth electronic database from January 1, 2017 to January 1, 2024. We analyzed medical charts of individuals who were diagnosed with (ICD-10 codes): osteoporosis (M80, M81), osteomalacia (M83), rickets (E55.0), Paget bone disease (M88), osteonecrosis (M87). Bivariate and binary logistic regression analyses were performed to statistically analyze the data.
Results: Hispanic or Latino ethnicity showed a decreased risk of bone disorder (Estimate = -0.2814), bordering on significance (p = 0.053), indicating a potential protective effect. Female participants had significantly higher odds of bone disorder compared to males (Estimate = 0.7861, p < 0.001), suggesting sex is a strong predictor. Obese individuals had lower odds (Estimate = -0.7837, p < 0.001), and overweight individuals had lower odds (Estimate = -0.3328, p = 0.047) of bone disorder, compared to those with normal BMI. Underweight individuals showed significantly higher odds of bone disorder (Estimate = 0.9605, p = 0.002). Age at diagnosis was a strong positive predictor (Estimate = 0.0581, p < 0.001), indicating that the odds of bone disorder increased with age.
Conclusion: Our results may allow for targeted intervention and warrant further research on specific at risk demographics to better the health of these individuals.
Recommended Citation
Martin, Blake C.; Heckman, Justin Z.; and Peiris, Manoj, "Various Bone Disorders Affecting the Rio Grande Valley" (2025). Research Symposium. 44.
https://scholarworks.utrgv.edu/somrs/2025/posters/44
Included in
Various Bone Disorders Affecting the Rio Grande Valley
Background: The underserved community that is the Rio Grande Valley (RGV), has a distinct demographic profile, with a high prevalence of chronic conditions such as diabetes and obesity, that warrants investigation of various health issues. The main objective of our study was to analyze the demographic disparities between osteoporosis, osteomalacia, rickets, Paget bone disease, and osteonecrosis in the RGV. We hypothesized that the frequency of osteoporosis would be the most common bone condition (of those analyzed) in the Rio Grande Valley and that the demographics between the various bone conditions would vary depending on age, sex, BMI, and ethnicity but not on marital status.
Methods: This was a retrospective chart review which gathered data from the University of Texas Rio Grande Valley (UTRGV) UTHealth electronic database from January 1, 2017 to January 1, 2024. We analyzed medical charts of individuals who were diagnosed with (ICD-10 codes): osteoporosis (M80, M81), osteomalacia (M83), rickets (E55.0), Paget bone disease (M88), osteonecrosis (M87). Bivariate and binary logistic regression analyses were performed to statistically analyze the data.
Results: Hispanic or Latino ethnicity showed a decreased risk of bone disorder (Estimate = -0.2814), bordering on significance (p = 0.053), indicating a potential protective effect. Female participants had significantly higher odds of bone disorder compared to males (Estimate = 0.7861, p < 0.001), suggesting sex is a strong predictor. Obese individuals had lower odds (Estimate = -0.7837, p < 0.001), and overweight individuals had lower odds (Estimate = -0.3328, p = 0.047) of bone disorder, compared to those with normal BMI. Underweight individuals showed significantly higher odds of bone disorder (Estimate = 0.9605, p = 0.002). Age at diagnosis was a strong positive predictor (Estimate = 0.0581, p < 0.001), indicating that the odds of bone disorder increased with age.
Conclusion: Our results may allow for targeted intervention and warrant further research on specific at risk demographics to better the health of these individuals.
