English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

/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 was subjects who were undergoing assessment of BMD between  January to December 2017 and 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 analysed 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, subject had low BMD, 37% had  osteopenia and 25% had osteoporosis. In both bone areas we observed trends  of lowering BMD as the subjects BMI decrease. Subjects with osteoporosis are  more prone to BMI depended BMD changes, in regard to subjects with  osteopenia and normal BMD. Also, normal weight subjects compared to  overweight and obese, had highest prediction coefficients of BMI depended  changes on BMD. Conclusion: High prevalence of low BMD coexists with  overweight and obesity in the elderly age category of 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. [Projects of the Serbian  Ministry of Education, Science and Technological Development, Grant no. ON  174026 and Grant no. III 044006]

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