scholarly journals The Relationship between Nutrient Patterns and Bone Mineral Density in Postmenopausal Women

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1262 ◽  
Author(s):  
Bolaji Lilian Ilesanmi-Oyelere ◽  
Louise Brough ◽  
Jane Coad ◽  
Nicole Roy ◽  
Marlena Cathorina Kruger

In women, the menopausal transition is characterized by acid-base imbalance, estrogen deficiency and rapid bone loss. Research into nutritional factors that influence bone health is therefore necessary. In this study, the relationship between nutrient patterns and nutrients important for bone health with bone mineral density (BMD) was explored. In this cross-sectional analysis, 101 participants aged between 54 and 81 years were eligible. Body composition and BMD analyses were performed using dual-energy X-ray absorptiometry (DXA). Nutrient data were extracted from a 3-day diet diary (3-DDD) using Foodworks 9 and metabolic equivalent (MET-minutes) was calculated from a self-reported New Zealand physical activity questionnaire (NZPAQ). Significant positive correlations were found between intakes of calcium (p = 0.003, r = 0.294), protein (p = 0.013, r = 0.246), riboflavin (p = 0.020, r = 0.232), niacin equivalent (p = 0.010, r = 0.256) and spine BMD. A nutrient pattern high in riboflavin, phosphorus and calcium was significantly positively correlated with spine (p < 0.05, r = 0.197) and femoral neck BMD (p < 0.05, r = 0.213), while the nutrient pattern high in vitamin E, α-tocopherol, β-carotene and omega 6 fatty acids was negatively correlated with hip (p < 0.05, r = −0.215) and trochanter BMD (p < 0.05, r = −0.251). These findings support the hypothesis that a nutrient pattern high in the intake of vitamin E, α-tocopherol and omega 6 fatty acids appears to be detrimental for bone health in postmenopausal women.

2017 ◽  
Vol 26 (5) ◽  
pp. 461-466 ◽  
Author(s):  
Jing Xiang ◽  
Yongjie Chen ◽  
Yupeng Wang ◽  
Shaofei Su ◽  
Xinyu Wang ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kiley Field ◽  
John Gieng ◽  
Giselle Pignotti ◽  
Sofia Apsey

Abstract Objectives The relationship between the inflammatory potential of the diet, estimated by the Dietary Inflammatory Index (DII) score, and bone health has been studied in older populations and suggests that the diet can influence bone mineral density (BMD) and fracture risk. These relationships have yet to be explored in other potentially vulnerable populations, such as athletes, where risk of injuries may be more common due to high physical stresses and over-use. The aims of this study were 1) to examine the correlation between DII scores, and BMD in collegiate athletes, and 2) to assess the relationship between DII score and self-reported prior injury incidence. Methods Healthy collegiate athletes (n = 43) were recruited for this study: football, n = 12; men's soccer, n = 2; women's soccer, n = 13; women's swimming, n = 12; and women's basketball, n = 4. For each athlete, three 24-hour dietary intakes were collected using a standardized multiple-pass interview methodology (Nutrition Data System for Research) and this data was used to calculate individual DII scores. Body composition, including whole-body sub-total BMD, was measured using dual-energy X-ray absorptiometry. A modified overuse injury questionnaire (Oslo Sports Trauma Research Centre) was used to assess incidence of injuries in the prior 12 months. Results The participants (n = 14 male, n = 29 female) had a mean age of 19.4 ± 1.1 yrs and BMI of 25.8 ± 4.1 kg/m2. Mean DII score was −0.43 ± 0.17 points (range: −3.94 to 4.34). Mean BMD was 1.251 ± 0.169 g/cm2. Overall, DII score and BMD was not correlated (P = 0.47). Furthermore, DII scores of athletes that reported no prior injury did not differ from those who reported 1 or more injuries. Conclusions Unlike research in postmenopausal women, it appears that bone health of young healthy athletes is less vulnerable to the influence of diets with higher inflammatory potential. Moreover, the lack of difference in DII score among athletes reporting various levels of prior injury suggests that the inflammatory potential of the diet is a poor predictor of injury risk in collegiate athletes. Funding Sources N/A.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 493.2-493
Author(s):  
N. Toroptsova ◽  
O. Dobrovolskaya ◽  
A. Feklistov ◽  
O. Nikitinskaya ◽  
A. Efremova ◽  
...  

Background:The relationship between lean mass (LM), fat mass (FM) and bone mineral density (BMD) remains controversial. Some population studies have emphasized the positive association between them, while others have found an inverse relationship. RA patients are characterized by a decrease in muscle mass and an increase in fat mass. Such changes in body composition may be associated with low BMD.Objectives:To study the relationship between BMD, LM and FM in postmenopausal women with RA.Methods:68 postmenopausal women with RA (median age 59 [54; 63] years) were included in the study. BMD and body composition were evaluated using two-energy X-ray absorptiometry. Correlation analysis between body composition parameters and BMD was performed with the Spearman method, correlation coefficients R for p<0.05 are presented.Results:The average L1-L4 BMD was 0,92±0,16 g/cm2, total hip BMD - 0,84±0,15 g/cm2 and femoral neck - 0,73±0,13 g/cm2. 33 (48.5%) women had osteopenia, and 17 (25.0%) - osteoporosis (OP). Low appendicular LM was found in 5 (7.4%) and low appendicular muscle index (appendicular LM/height2, AMI) – in 10 (14.7%) patients. Overfat was revealed in 47 (69.1%) women, but only 20 (29.4%) women had BMI corresponding to obesity. The positive correlations between BMD in L1-L4, total hip and femoral neck regions and body weight (R=0.46, R=0.56 and R=0.50, respectively), trunk fat (R=0.4, R=0.51 and R=0.37, respectively), total FM (R=0.27, R=0.43 and R=0.34, respectively), trunk LM (R=0.55, R=0.54 and R=0.51, respectively), total LM (R=0.51, R=0.50 and R=0.52, respectively), appendicular LM (R=0.31, R=0.29 and R=0.37, respectively) and AMI (R=0.26, R=0.33 and R=0.51, respectively) were found out. In the multivariate linear regression analysis total LM was associated with BMD of lumbar spine (β=0.638, p=0.001) and total hip (β=0.473, p=0.008), and AMI - with femoral neck BMD (β=0.360; p=0.014). We found that FM hadn’t a significant effect on BMD in any region.Conclusion:73.5% of patients with RA had a reduced BMD, and 14.7% women – low AMI. LM was positively associated with BMDs in different regions of interest, but FM had no effect on BMD. Further researches are needed to identify associations between body composition, inflammatory activity and bone health in patients with RA.Disclosure of Interests:None declared


2021 ◽  
Vol 104 (3) ◽  
pp. 432-437

Objective: To demonstrate the relationship between anemia and complete blood count (CBC) parameters with bone mineral density (BMD) in postmenopausal women. Materials and Methods: A cross-sectional chart-review study was conducted between November 2017 and June 2019. Three hundred twenty-four postmenopausal women aged 50 years or older who had BMD and CBC results were included in the present study. Results: The prevalence of osteopenia and osteoporosis diagnosed by T-score were 53.1% and 32.7%, respectively. Simple and multiple linear regression analyses showed that no association between CBC parameter with BMD except basophil count, which was negatively associated with BMD (p=0.011). There was no correlation between anemia and BMD status (p=0.168). Conclusion: CBC parameters such as hemoglobin or white blood cell count were not statistically correlated with BMD. This is the first study demonstrating that basophil count may be an associated factor for deceased BMD. Keywords: Postmenopausal women, Bone mineral density, Complete blood count, Basophil


Medicina ◽  
2010 ◽  
Vol 46 (2) ◽  
pp. 95 ◽  
Author(s):  
Eglė Jagelavičienė ◽  
Ričardas Kubilius ◽  
Aurelija Krasauskienė

Objective. The aim of the study was to determine the relationship between bone mineral density in the calcaneus measured using the dual x-ray and laser osteodensitometry technique and bone mineral density in the mandible calculated using the panoramic radiomorphometric indices obtained by applying linear measurements in panoramic radiograms of postmenopausal women. Material and methods. The participants of this study were postmenopausal women (n=129) aged 50 and more. The subjects underwent panoramic radiography of the mandibles, followed by the calculation of the panoramic radiomorphometric indices indicating bone mineral density of the mandible. The dual x-ray and laser osteodensitometer DXL Calscan were used for the measurements of bone mineral density in the calcaneus. Statistical analysis was preformed to find the relationship between bone mineral density measurements in the two anatomically different bones. Results. Following the diagnostic criteria for osteoporosis recommended by the World Health Organization (1994), the subjects were distributed according to the calcaneus bone mineral density T-score into the normal bone mineral density (group 1), osteopenia (group 2), and osteoporosis (group 3) groups. Mean bone mineral density in the calcaneus in the general studied population was 0.38±0.07; the mean value of bone mineral density of the calcaneus in the group 1 (n=34) was 0.47±0.04 (g/cm²), in the group 2 (n=65) was 0.37±0.03 (g/cm²), and in the group 2 (n=30) was 0.29±0.03 (g/cm²). Differences in bone mineral density between the groups were determined using the analysis of variance (ANOVA) F=285.31; df=2; P<0.001 (T1 vs. T2, P<0.001; T1 vs. T3, P<0.001; T2 vs. T3; P<0.001). A statistically significant correlation was found in the general group between the mental index and bone mineral density in the calcaneus (r=0.356, P<0.001), and between the panoramic mandibular index and bone mineral density in the calcaneus (r=0.397, P<0.001). Conclusion. Bone mineral density in the calcaneus and the mandible measured using dual energy x-ray and laser osteodensitometer DXL Calscan and by applying panoramic radiography reflect general changes in the mineralization of these bones, characteristic of the postmenopausal period.


Bone ◽  
2010 ◽  
Vol 47 ◽  
pp. S184-S185
Author(s):  
J.M. Mata Granados ◽  
R. Cuenca Acevedo ◽  
M.D. Luque de Castro ◽  
J.M. Quesada Gómez

2012 ◽  
Vol 18 (11) ◽  
pp. 1522-1528 ◽  
Author(s):  
Ruth Dobson ◽  
Sreeram Ramagopalan ◽  
Gavin Giovannoni

People with multiple sclerosis (MS) have many reasons to have low bone mineral density and an increased fracture risk. Osteoporosis is a major cause of morbidity and mortality, and is more common in people with MS than the general population. A number of studies have examined the relationship between multiple sclerosis and reduced bone mineral density. In this topical review we seek to address the risk of low bone mineral density, osteoporosis and fractures associated with MS, and make practical suggestions as to how this pertinent issue may be approached in clinical practice.


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