scholarly journals Factors Affecting Bone Mineral Density Among Snowy Region Residents in Japan: Analysis Using Multiple Linear Regression and Bayesian Network Model

2018 ◽  
Vol 7 (1) ◽  
pp. e10 ◽  
Author(s):  
Teppei Suzuki ◽  
Tomoko Shimoda ◽  
Noriko Takahashi ◽  
Kaori Tsutsumi ◽  
Mina Samukawa ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Linear Regression ◽  
Bayesian Network ◽  
Multiple Linear Regression ◽  
Network Model ◽  
Bone Mineral ◽  
Mineral Density ◽  
Bayesian Network Model ◽  
Factors Affecting

scholarly journals Factors Affecting Bone Mineral Density Among Snowy Region Residents in Japan: Analysis Using Multiple Linear Regression and Bayesian Network Model (Preprint)

2017 ◽  
Author(s):  
Teppei Suzuki ◽  
Tomoko Shimoda ◽  
Noriko Takahashi ◽  
Kaori Tsutsumi ◽  
Mina Samukawa ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bayesian Network ◽  
Multiple Regression ◽  
Bone Mineral ◽  
Calcium Intake ◽  
Mineral Density ◽  
Bayesian Network Model ◽  
Factors Affecting ◽  
Exercise Habits ◽  
T Score

BACKGROUND As the onset of osteoporosis leads to reduced activities of daily living and may result in patients being bedridden, efforts to prevent decreased bone density are necessary. Various studies on the relationship between sex, age, nutrients, and exercise habits and bone mineral density have been conducted to date. However, for snowy region residents, the magnitude of influence of various factors affecting bone mineral density and the influence level have not been clarified. OBJECTIVE This study aimed to clarify the degree of influence and factors influencing bone mineral density based on survey results on health conditions and lifestyle habits in heavy snow areas. METHODS A total of 354 citizens who visited a drugstore in the target area were included in a study that included using the brief-type self-administered diet history questionnaire on lifestyle and exercise habits. Height, weight, body composition, and bone densitometer values were analyzed using multiple regression to calculate their association with bone mineral density. In addition, a Bayesian network model was used to determine the influence level of each factor as a conditional probability. RESULTS Multiple regression analysis revealed that age, sex, fracture, and calcium intake significantly influenced bone mineral density. In addition, the result of Bayesian network analysis suggested that age and sex affected bone mineral density, whereas nutrients and exercise habits might not have a direct impact. However, calcium intake and the T-score were significant factors affecting the presence or absence of fracture experiences, suggesting that adequate calcium intake is essential for preventing fractures. CONCLUSIONS In the multiple regression analysis, age, sex, fracture, and calcium intake were selected as factors; however, in the Bayesian analysis, only age and sex affected bone mineral density while nutrients did not. In addition, the fact that calcium intake and the T-score were shown to affect bone fracture history suggests that calcium intake is an important measure that can prevent bone fractures. Overall, these results suggest that measures such as ensuring a bone fracture–free environment and providing nutritional advice for calcium intake can be effective in preventing bone loss.

scholarly journals Lack of Association between Pulse Steroid Therapy and Bone Mineral Density in Patients with Multiple Sclerosis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Serap Zengin Karahan ◽  
Cavit Boz ◽  
Sevgi Kilic ◽  
Nuray Can Usta ◽  
Mehmet Ozmenoglu ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Bone Mineral Density ◽  
Lumbar Spine ◽  
Femoral Neck ◽  
Bone Mineral ◽  
Steroid Therapy ◽  
Negative Relationship ◽  
High Dose ◽  
Mineral Density ◽  
Factors Affecting

Multiple sclerosis (MS) has been associated with reduced bone mineral density (BMD). The purpose of this study was to determine the possible factors affecting BMD in patients with MS. We included consecutive 155 patients with MS and 90 age- and sex-matched control subjects. Patients with MS exhibited significantly lowerT-scores andZ-scores in the femoral neck and trochanter compared to the controls. Ninety-four (61%) patients had reduced bone mass in either the lumbar spine or the femoral neck; of these, 64 (41.3%) had osteopenia and 30 (19.4%) had osteoporosis. The main factors affecting BMD were disability, duration of MS, and smoking. There was a negative relationship between femoral BMD and EDSS and disease duration. No association with lumbar BMD was determined. There were no correlations between BMD at any anatomic region and cumulative corticosteroid dose. BMD is significantly lower in patients with MS than in healthy controls. Reduced BMD in MS is mainly associated with disability and duration of the disease. Short courses of high dose steroid therapy did not result in an obvious negative impact on BMD in the lumbar spine and femoral neck in patients with MS.

Dietary factors affecting bone mineral density in Korean rural postmenopausal women

2012 ◽  
Vol 45 (5) ◽  
pp. 470 ◽  
Author(s):  
Jeong Sook Choe ◽  
Eun Mi Ahn ◽  
Sung Ok Kwon ◽  
Young Hee Park ◽  
Jinyoung Lee
Keyword(s):  
Bone Mineral Density ◽  
Postmenopausal Women ◽  
Bone Mineral ◽  
Dietary Factors ◽  
Mineral Density ◽  
Factors Affecting

Factors Affecting Bone Mineral Density in Elderly Men Receiving Chronic In-Center Hemodialysis

1991 ◽  
Vol 16 (1) ◽  
pp. 30-36 ◽  
Author(s):  
BRIAN EISENBERG ◽  
ANTONIOS H. TZAMALOUKAS ◽  
GLEN H. MURATA ◽  
THERESA M. ELLIOTT ◽  
JACK E. JACKSON
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Mineral Density ◽  
Elderly Men ◽  
Factors Affecting

scholarly journals Reply to “Sample Size Calculation. Comment on Quantitative Ultrasound and Dual X-Ray Absorptiometry as Indicators of Bone Mineral Density in Young Women and Nutritional Factors Affecting It, Nutrients, 2019, 11, 2336”

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Katie Schraders ◽  
Giancarla Zatta ◽  
Marlena Kruger ◽  
Jane Coad ◽  
Janet Weber ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Sample Size ◽  
Bone Mineral ◽  
Young Women ◽  
Quantitative Ultrasound ◽  
Sample Size Calculation ◽  
Mineral Density ◽  
Nutritional Factors ◽  
Factors Affecting ◽  
X Ray

We would like to thank Moran and Sanchez Fernandez [...]

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