OBJECTIVE: To assess factors associated with @entity79 ( @entity79 ) in postmenopausal @entity1 in a longitudinal study, and to examine the relative contribution of lean mass, fat mass, dietary patterns, and years since menopause to @entity79 . METHODS: Two hundred and eighty-two postmenopausal @entity1 were randomly selected from Hongqi Community Health Center, in Harbin City, China. All @entity1 were followed up from 2009 to 2011. Dietary data were collected using a Food Frequency Questionnaire. @entity79 of the left hip, the lumbar spine, and the total body, and the body composition were measured by dual-energy X-ray absorptiometry at baseline and follow-up. RESULTS: Lean mass and fat mass were positively associated with @entity79 of the spine, hip, and the total body at both baseline and follow-up. The association between fat mass and @entity79 at the spine at baseline (P = 0.210) and at the spine (P = 0.116) and hip (P = 0.073) in the second year was not statistically significant when height was adjusted. Six dietary patterns were identified but only cereal grains-fruits pattern (P = 0.001 in the spine, P = 0.037 in hip) and milk-root vegetables pattern (P = 0.010 in hip) were associated with @entity79 of the spine and hip. The linear mixed model of follow-up data showed that lean mass, years since menopause, and age of menophania were the significant determinants of @entity79 of all sites. Moreover, lean mass was the best determinant of @entity79 ( @entity43213 .936). CONCLUSION: Lean mass, years since menopause, age of menophania and dietary patterns are the important determinants of @entity79 of the spine, hip, and the total body. Lean mass is the best determinant of @entity79 .

Associations of Bone Mineral Density with Lean Mass, Fat Mass, and Dietary Patterns in Postmenopausal Chinese XXXX : A 2-Year Prospective Study.

@entity1 :: ('9606', 'Species') :: ['participants', 'women'] @entity79 :: ('MESH:D001847', 'Disease') :: ['bone mineral density', 'BMD'] @entity43213 :: ('9677', 'Gene') :: ['VIP = 1']
@entity1 :: (9606,Species) :: ['Women']
