Results
Osteoporosis was detected in 20.2% of women and 15.2% of men among elderly participants in Kazakhstan.
- Study included 1961 participants: 1620 women and 341 men, aged 60 to 89.
- Osteopenia affected 59.8% of women and 58.4% of men.
- Bone strength was assessed using quantitative ultrasound of the calcaneus.
- Fracture risk was assessed with the FRAX tool.
Results
An inverse correlation was observed between BMI and osteoporosis prevalence, such that lower BMI was associated with higher incidence of osteoporosis.
- Women: χ² = 26.0, df = 2, p < 0.001.
- Men: χ² = 4.29, df = 2, p < 0.014.
- Total sample: χ² = 32.3, df = 2, p < 0.001.
- Results confirm that excess body fat exerts a protective effect on bone health.
Results
The majority of study participants were overweight, with 73.7% of participants classified as either pre-obese or obese.
- 38.2% of participants were pre-obese.
- 35.5% were obese.
- Total overweight prevalence was 73.7% across the 1961 participants.
Results
Significant risk factors for osteoporosis in this elderly Kazakhstani population included age, height, and weight.
- These anthropometric variables were identified as significant risk factors in the study.
- A link was found between the age of first osteoporosis onset and BMI, ranging from 65 to 72.14 years.
- The FRAX tool was used alongside anthropometric data to assess fracture risk.
Results
Beyond classic nutrients, trace elements and vitamins including selenium, iodine, zinc, vitamin B6, and phytosterols were identified as playing a significant, possibly indirect, role in bone metabolism.
- Classic nutrients associated with bone health include calcium, vitamin D, and protein.
- The paper emphasises that selenium, iodine, zinc, vitamin B6, and phytosterols also play a role.
- The role of these trace elements and vitamins was described as 'possibly indirect' in bone metabolism.
Conclusions
The study confirms the value of FRAX for accurately assessing fracture risk and developing personalised recommendations based on anthropometric and dietary characteristics.
- FRAX was used alongside quantitative ultrasound of the calcaneus to assess participants.
- The authors recommend using FRAX in combination with anthropometric and dietary data for personalised recommendations.
- Future longitudinal research was recommended to validate results and elucidate underlying mechanisms.
Conclusions
Novel anthropometric parameters such as the Body Roundness Index and Body Shape Index were identified as potentially valuable predictors for future osteoporosis research.
- The authors noted the predictive power of the Body Roundness Index and Body Shape Index as warranting further investigation.
- Future longitudinal research was called for to validate results and further elucidate underlying mechanisms including these novel parameters.
- This recommendation arose in the context of the observed relationship between body composition and osteoporosis prevalence.