doiSerbia

Trends in bone mineral density among nutritional status categories of Vojvodina elderly population

Gojković Zoran (University of Novi Sad, Faculty of Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia)
Matijević Radmila (University of Novi Sad, Faculty of Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia), radmila.matijevic@mf.uns.ac.rs
Harhaji Vladimir (University of Novi Sad, Faculty of Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia)
Ilinčić Branislava (University of Novi Sad, Faculty of Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia)
Barišić Ljubiša (University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia)
Kupusinac Aleksandar (University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia)
Radišić Mladen (University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia)
Ninković Srđan (University of Novi Sad, Faculty of Medicine, Clinical Center of Vojvodina, Novi Sad, Serbia)

Introduction/Objective. Low bone mineral density (BMD) is commonly associated with alterations of nutritional status. The aims of the present study were to evaluate the prevalence of low BMD and its associated nutritional risk factors in Vojvodina population and to use linear regression equations to predict the BMD by using a simple marker of nutritional status, body mass index (BMI). Methods. In this retrospective, cross-sectional study, the study population included subjects who were undergoing assessment of BMD between January and December 2017, and who have met the study inclusion criteria. A total of 1974 patients (1866 women and 108 men) were included in this analysis of nutritional status according to anthropometry and BMI index, and dual-energy X-ray absorptiometry (DEXA) measurements of BMD of the femoral neck and lumbar spine. The relationship between BMI and BMD was analyzed by linear regression equation. Results. Median age was 63 (56–70) years. Considering nutritional status category, there were 40% overweight, 31% obese and 29% normal weight subjects. In most of the sample, the subjects had low BMD, 37% had osteopenia, and 25% had osteoporosis. In both bone areas we observed trends of lowering BMD as the subjects BMI decreased. Subjects with osteoporosis are more prone to BMI depended BMD changes, concerning subjects with osteopenia and normal BMD. In addition, normal weight subjects compared to overweight and obese had the highest prediction coefficients of BMI-depended changes on BMD. Conclusion. High prevalence of low BMD coexists with overweight and obese elderly females in Vojvodina. Prediction equations for the calculation of BMD can be used to evaluate the effect of BMI changes on BMD in clinical settings.

Keywords: Bone Mineral Density, Body Mass Index, Osteoporosis, Osteopenia, Linear regression

Projects of the Serbian Ministry of Education, Science and Technological Development, Grant no. ON 174026 and Grant no. III 044006