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

Teppei SuzukiTomoko ShimodaNoriko TakahashiKaori TsutsumiMina SamukawaSadako YoshimuraKatsuhiko Ogasawara
Published in: Interactive journal of medical research (2018)
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.
Keyphrases
  • bone mineral density
  • postmenopausal women
  • body composition
  • bone loss
  • weight gain
  • hip fracture
  • risk assessment
  • soft tissue
  • neural network