scholarly journals Pattern of Bone Mineral Density (BMD) Among Patients Attending Tertiary Hospital: 9 years’ Experience

2017 ◽  
Vol 18 (1) ◽  
pp. 47-50
Author(s):  
Zeenat Jabin ◽  
Raihan Hussain ◽  
Shamim MF Begum ◽  
Rahima Parveen ◽  
Nasreen Sultana ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Body Weight ◽  
Back Pain ◽  
Retrospective Study ◽  
Bone Density ◽  
Bone Mineral ◽  
Large Population ◽  
Tertiary Hospital ◽  
Mineral Density ◽  
Age Range

Objective: A retrospective study was conducted to assess the pattern of bone density status in a large population of both sexes who attended tertiary hospital National Institute of Nuclear Medicine and Allied Sciences (NINMAS) in a specific time period.Materials and Methods: A retrospective study was carried out on 2777 patients who were referred to NINMAS for dual energy X- ray absorptiometry (DXA) measurement of bone mineral density (BMD) during the year March 2005 to January 2014. BMD was measured at femoral neck (Ward’s triangle) and lumbar spines with a Norland XR-36 machine. Data about age, sex, body weight, presentations, back pain status and menstrual history were recorded. Few of them had known osteoporosis and history of fracture. Reporting was done according to the T score following WHO criteria. Few reports were based on the Z-score.Results: A total of 2777 (M=788, F=1989 with a ratio of 1: 2.5) patients with age ranging from 12 to 85 (mean + SD 43 + 11.1). BMD findings and relevant history were recorded. Results showed normal bone density in 478 (17.21%), osteopenia in 866 (31.18%), osteoporosis in 1108 (39.91%) and discrepancy of BMD in hip and spine in 325 (11.70%) patients. Female patients (n=1989) were sub divided into 6 sub groups according to age range and significant relationship of bone loss with pre peri and postmenopausal status of women were observed. These 6 groups included women of 25-34 years, 35-44years, 45-54 years, 55-64 years, 65-74 years and 75-85 years. Among them, the largest subgroups of 845 (42.4%) were of 55-64 years and maximum number (54.9%). of osteoporosis cases were of this age range. About 70% patients experienced low back pain with variable severity and duration. Mean body weight (± SD) among the premenopausal women was 49.9 ± 9.4 Kg and 48.2 ± 10.8 kg in postmenopausal women.Conclusion: The results of this study suggest that advancing age and menopausal condition of female and low body weight are important risk factors for the occurrence of low BMD.Bangladesh J. Nuclear Med. 18(1): 47-50, January 2015

scholarly journals PO-091 5-year changes and effects of bone mineral density in 6-year-old children

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Yue Liang ◽  
Hong Ren
Keyword(s):  
Bone Mineral Density ◽  
Body Weight ◽  
Bone Density ◽  
Bone Mineral ◽  
Partial Correlation ◽  
Mineral Density ◽  
Forearm Bone Mineral Density ◽  
Obesity Rate ◽  
Forearm Bone

Objective To explore the development and developmental characteristics of forearm bone mineral density in childhood, to understand the effects of body composition and developmental type on bone mineral density, and to provide a basis for studying the changes of human forearm bone mineral density. Methods Bone development follow-up study of Huilongguan primary school affiliated to Capital Normal University in 2013 enrolled in primary school for five years (2013, 2014, 2015, 2016 and 2017), tracking test indicators: height, weight, body fat composition, forearm bone density. Bone age testing was conducted in 2013 and 2017. Data were analyzed for students who were 6 years old at the end of the first year of the test date. The effective data was 297 (age 6.6 ± 0.2 years), including 147 boys and 150 girls. Results 1. Forearm bone mineral density(g/cm2)for the boys and girls were 0.237±0.061 and 0.221±0.059 for children aged 6, 0.220±0.042 and 0.201±0.032 for 7 years old children, 0.219±0.040 and 0.198±0.038 for 8 years old children, 0.236±0.051 and 0.208±0.043 for 9 years old children ,while 0.237±0.044 and 0.213±0.047 when children were 10 years old. An independent sample t-test was performed on bone mineral density in boys and girls. At 7 years, 8 years, 9 years, and 10 years, the bone mineral density of boys was greater than that of girls, and the difference was statistically significant (p<0.05). 2. The same batch of child follow-up studies found that girls and boys aged 6 to 8 had a decreasing trend, and the decline of girls was greater than that of boys; girls and boys aged 8 to 10 have risen again, and the increase in girls is less than that of boys; body weight and BMI are factors influencing the forearm bone density of children aged 6-10 years. Height changes and weight changes have a certain effect on changes in forearm bone density. 3. There was no statistically significant difference between bone mineral density and height. The partial correlation with body weight was statistically significant between 6 and 10 years old, r=0.200 (p<0.01), r=0.124 (p<0.05), r =0.176 (p<0.01), r=0.110 (p<0.05), r=0.162 (p<0.05); the partial correlation with BMI was statistically significant, r=0.223 (p<0.01), r =0.134 (p<0.01), r=0.183 (p<0.01), r=0.150 (p<0.05)r=0.208 (p<0.01); As for the relationships between body fat ratio、FFM ratio and bone mineral density, there are no partial correlations(p＞0.05).  4. The partial correlation between bone mineral density change and height change (6-8 years old) and body weight change (8-10 years old) was statistically significant, r=-0.138 (p<0.05), r=0.178(p <0.01), the change in bone mineral density of the children with highest 25% and the lowest 25% with different indicators, only the height of the independent sample t-test results was statistically significant. 5. After multiple stepwise linear regression model. At the age of 7, the adjustment of R2 is the highest. The gender and body mass index entered the model. 6. The overweight and obesity rate of 6-10 years old is more than 40% for boys and over 30% for girls. The obesity rate for boys aged 6 to 10 is reduced from 21.9% to 23.8%; the obesity rate for girls is from 20.3% to 17.3%. Conclusions The same batch of child follow-up studies found that girls and boys aged 6 to 8 had a decreasing trend, with the decline of girls greater than that of boys; girls and boys between the ages of 8 and 10 were rising again, and the increase in girls was less than that of boys; Weight and BMI are factors influencing the forearm bone mineral density of children aged 6-10 years. Height changes and weight changes have a certain effect on changes in forearm bone density.

Bone mineral density: correlation with body weight, height, bone age and insulin-like growth factor

1997 ◽  
Vol 73 (4) ◽  
Author(s):  
José Hugo L. Pessoa ◽  
Shlomo Lewin ◽  
Carlos A. Longui ◽  
Berenice B. Mendonça
Keyword(s):  
Bone Mineral Density ◽  
Body Weight ◽  
Growth Factor ◽  
Bone Mineral ◽  
Bone Age ◽  
Insulin Like Growth Factor ◽  
Mineral Density ◽  
Density Correlation

scholarly journals Bone Mineral Density Measurements: Are they Worth While?

1996 ◽  
Vol 89 (8) ◽  
pp. 457-461 ◽  
Author(s):  
D J Torgerson ◽  
C Donaldson ◽  
D M Reid
Keyword(s):  
Bone Mineral Density ◽  
Bone Density ◽  
Bone Mineral ◽  
Diagnostic Tool ◽  
Screening Tool ◽  
Density Measurement ◽  
Bone Density Measurement ◽  
Mineral Density ◽  
Density Measurements ◽  
Bone Mineral Measurements

Bone mineral density measurements have been criticized on the grounds that they are not a worth-while screening tool. In this paper we argue that bone mineral measurements can be an efficient diagnostic tool even if they are not of proven value for screening. There is complex relationship between the costs of a measurement, the intervention and the predictive value of the test all of which must be accounted for when assessing the value of a bone density measurement. For bone density measurements to be used for screening, a wider evaluation needs to be undertaken compared with that for their use as a diagnostic tool. We address some common objections, for example, that low compliance with screening would undermine efficiency, and show that these are not relevant. Evaluations of screening need to address issues that are likely to affect efficiency.

Decreased Bone Density in Adolescent Girls With Anorexia Nervosa

PEDIATRICS ◽  
1990 ◽  
Vol 86 (3) ◽  
pp. 440-447 ◽  
Author(s):  
Laura K. Bachrach ◽  
David Guido ◽  
Debra Katzman ◽  
Iris F. Litt ◽  
Robert Marcus
Keyword(s):  
Bone Mineral Density ◽  
Body Mass Index ◽  
Anorexia Nervosa ◽  
Bone Density ◽  
Bone Mass ◽  
Body Mass ◽  
Bone Mineral ◽  
Whole Body ◽  
Mineral Density ◽  
Control Subjects

Osteoporosis develops in women with chronic anorexia nervosa. To determine whether bone mass is reduced in younger patients as well, bone density was studied in a group of adolescent patients with anorexia nervosa. With single- and dual-photon absorptiometry, a comparison was made of bone mineral density of midradius, lumbar spine, and whole body in 18 girls (12 to 20 years of age) with anorexia nervosa and 25 healthy control subjects of comparable age. Patients had significantly lower lumbar vertebral bone density than did control subjects (0.830 ± 0.140 vs 1.054 ± 0.139 g/cm2) and significantly lower whole body bone mass (0.700 ± 0.130 vs 0.955 ± 0.130 g/cm2). Midradius bone density was not significantly reduced. Of 18 patients, 12 had bone density greater than 2 standard deviations less than normal values for age. The diagnosis of anorexia nervosa had been made less than 1 year earlier for half of these girls. Body mass index correlated significantly with bone mass in girls who were not anorexic (P &lt; .05, .005, and .0001 for lumbar, radius, and whole body, respectively). Bone mineral correlated significantly with body mass index in patients with anorexia nervosa as well. In addition, age at onset and duration of anorexia nervosa, but not calcium intake, activity level, or duration of amenorrhea correlated significantly with bone mineral density. It was concluded that important deficits of bone mass occur as a frequent and often early complication of anorexia nervosa in adolescence. Whole body is considerably more sensitive than midradius bone density as a measure of cortical bone loss in this illness. Low body mass index is an important predictor of this reduction in bone mass.

Impact of three-dimensional chemoradiation on pelvic bone mineral density, low back pain, and disability in cervical cancer: a prospective study

2021 ◽  
pp. ijgc-2020-002290
Author(s):  
Divyesh Kumar ◽  
Raviteja Miriyala ◽  
Bhavana Rai ◽  
Pooja Bansal ◽  
Arun S Oinam ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Cervical Cancer ◽  
Low Back Pain ◽  
Back Pain ◽  
Femoral Neck ◽  
Bone Mineral ◽  
Menopausal Status ◽  
Pelvic Bone ◽  
Low Back ◽  
Mineral Density

ObjectiveTo prospectively analyze the effect of three-dimensional chemoradiation on the bone mineral density of pelvic bones and its association with low back pain and disability in patients with locally advanced cervical cancer.MethodsIn biopsy proven locally advanced cervical cancer patients, bone mineral density and T scores for lumbar vertebrae 5, dorsal thoracic vertebrae 12, and T scores for the femoral neck were analyzed. Low back pain was scored using the visual analog scale while disability scoring was done using the Oswestry low back pain disability scale. Furthermore, a subgroup analysis for patients (classified according to menopausal status) was performed.ResultsIn total, 106 patients were analyzed. A statistically significant decline in mean bone mineral density was observed at all three sites (vertebrae 5 and 12, and the femoral neck) post-chemoradiation therapy compared with pretreatment bone mineral density (0.671 vs 0.828, −2.083 vs −1.531, −2.503 vs −1.626; all p<0.001). Similarly, in subgroup analyses, at all three sites, pre-menopausal patients showed a statistically significant association (0.876 vs 0.697, −1.203 vs −0.2.761, –1.403 vs −2.232; all p<0.001) while a non-significant association was observed for post-menopausal patients at vertebrae 12 (−1.707 vs −1.719; p=0.09) with a statistically significant association at vertebrae 5 and the femoral neck (0.803 vs 0.656, –1.746 vs −2.648; p<0.01). Although statistically significant low back pain and disability scores were observed overall and irrespective of menopausal status, no correlation between bone mineral density and low back pain and disability was observed.ConclusionPelvic bone mineral density decreases significantly after chemoradiation, irrespective of menopausal status. However, no correlation with low back pain and disability was observed. Pelvic bone mineral density analysis should be considered before chemoradiation in cervical cancer.

scholarly journals RELATIONSHIP BETWEEN TRAINING VOLUME AND BONE MINERAL DENSITY CHANGES IN ELDERLY WOMEN

2016 ◽  
Vol 22 (3) ◽  
pp. 231-234
Author(s):  
Juan José Rábade Espinosa ◽  
Teresa Valverde Esteve ◽  
Ana Pablos Monzó ◽  
Carlos Pablos Abella ◽  
Vicente Carratalá Deval
Keyword(s):  
Physical Activity ◽  
Bone Mineral Density ◽  
Body Weight ◽  
Bone Mineral ◽  
Elderly Women ◽  
Correlation Study ◽  
Trained Group ◽  
Mineral Density ◽  
T Score ◽  
Density Methods

ABSTRACT Introduction: Several studies have analyzed the relationship between physical activity and bone density. However, the prescription of exercise is not entirely clear as to the type, quantity and intensity. Objective: The objective of this study was to determine if there is a relationship between the amount of exercise and changes in bone mineral density. Methods: Fifty-two women, members of the Municipal Program of Physical Activity for Seniors, voluntarily underwent two ultrasonographies of the calcaneus within a 6-month interval. During this period, all physical activity was recorded. Afterwards, a lineal correlation study was carried out between the amount of exercise and bone changes, expressed as T-Score variation, first in total number of participants and then in groups. Considering the average body weight obtained for all women, two groups were created ("light" < 69 kg and "heavy" > 69 kg). Later, women who had participated in less than 72% of the targeted program were excluded from both groups, and the differences between the groups "light and trained" and "heavy and trained" were analyzed. To do so, the nonparametric Mann-Whitney U test was used. Results: A significant relationship of r= -0.59 was found between the total amount of exercise and the T-Score variation in the group of women above 69 kg. Significant differences were found between the "light and trained" group and the "heavy and trained" group with respect to the variation of T-Score. Conclusion: The effect of exercise on bone mineral density is determined, somehow, by body weight. This interaction is due, possibly, to mechanical demands difference.

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