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Relationship between diabetes and bone health variables in adults with diabetes
Author(s) -
Kouzehgarani Ghazal Naseri,
Rogers Tara,
ChapmanNovakofski Karen
Publication year - 2010
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.24.1_supplement.558.7
Subject(s) - medicine , confounding , diabetes mellitus , type 2 diabetes , anthropometry , heel , demography , body mass index , waist , family history , percentile , endocrinology , statistics , mathematics , sociology , anatomy
Studies of bone density and diabetes have resulted in ambiguous results, primarily due to the variety of confounding variables which may impact any clear relationships. We examined the relationship between diabetes‐related variables (type, duration, medication, anthropometrics, and family history) and bone health‐related variables (family history, smoking, alcohol, supplement intake, physical activity, and medication) to adjust for confounding variables. Heights, weights, wrist, waist and hip circumferences were measured. Participants completed a survey and a heel ultrasound test (n=21). Most were female (67%), white (86%) with type 2 diabetes (67%), median BMI 30.2 (25.4, 37.6; 25 & 75 percentiles), median WHR 0.9 (0.85, 0.95; 25 & 75 percentiles), almost half taking metformin, 29% on insulin, 14% had no physical activity. 29% had heel ultrasound t‐scores less than ‐1; half of these had type 2 diabetes; half were on insulin; diabetes duration 1–50 years. No significant difference in t‐scores based on insulin use (p=0.18). Combination with a previously collected sample (n=32) yielded a significant correlation between BMI and BMD (r=0.28, p=0.046). A significant regression model explaining the variance in BMD with medication type as a significant predictor (p=0.048) was found. However large variances in data indicate a larger sample is required to detect significant differences with sufficient power.