@article{oai:kumadai.repo.nii.ac.jp:00024534,
 author = {舩越, 弥生 and 大森, 久光 and 加藤, 貴彦 and Funakoshi, Yayoi and Omori, Hisamitsu and Katoh, Takahiko},
 issue = {1},
 journal = {Journal of Nutritional Science and Vitaminology},
 month = {Feb},
 note = {application/pdf, 論文(Article), Bone mineral density (BMD) reflects both genetic and lifestyle factors. The aim of this cross-sectional study was to investigate the influence of vitamin D receptor (VDR) gene polymorphism and lifestyle factors on BMD in premenopausal female workers. The subjects were 162 premenopausal female employees aged 22-44 y who worked at a large-scale integrated manufacturing facility in Japan. BMD was measured at the nondominant radius by dual energy X-ray absorptiometry. Lifestyle information was obtained by a questionnaire at the same time and genomic DNA was isolated from peripheral leukocytes. BMD was positively correlated with age, weight, and body mass index (BMI). The genotype frequencies of VDR gene polymorphism detected by TaqI analysis were 77.2, 22.8, and 0.0% for TT, Tt, and tt, respectively. Analysis of covariance with adjustment for age and BMI showed that the mean BMD was significantly lower in subjects with the Tt genotype than in those with the TT genotype. Subjects who drank alcohol also showed a significantly lower BMD if they had the Tt genotype than if they had the TT genotype. According to multiple linear regression analysis, the independent determinants of BMD were age, BMI, and VDR gene polymorphism. Our data show that BMD is negatively correlated with the Tt genotype of the VDR gene, but positively correlated with age and BMI. These findings suggest that analysis of VDR gene polymorphism may be useful for identifying individuals who are susceptible to osteoporosis so that early preventive measures can be provided., http://www.jstage.jst.go.jp/article/jnsv/56/1/56_27/_article/-char/ja/},
 pages = {27--33},
 title = {Relation of Bone Mineral Density to Vitamin D Receptor Gene Polymorphism and Lifestyle Factors in Japanese Female Workers Aged 22-44 Years: A Cross-Sectional Study},
 volume = {56},
 year = {2010}
}