title: [Bone mineral content and its influence factors of children aged 0-16 in a city and village].
abstract: The radial and ulnar bone mineral content (BMC) was measured by single-photon absorptiometry, and the effects of multiple independent variables on BMC and bone width (BW) were explored using multiple regression analysis in 332 rural and city children aged 0-16 years in Henan province from 1994 to 1995. BMC, BW, BMC/BW and forearm length increased with age increasing, and the BMC in city children aged 0-6 years was higher than that in rural children. Radial BMC was positively related to BW in the measured sites. Age, body weight and height (or length) all had significantly positive and independent effects on radial BMC in both groups. The positive correlation of radial BMC with age was observed, however, the ratio of radial BMC to body weight was negative correlation. The BW in measured site and forearm length increased with ages. After adjusted for body size, there were no significant effects of sex, age and body weight on radial BW except height (length). This study shows that overall body size rather than adiposity is the important factor for bone BMC, so that it is needed to consider several variables, for example, BMC, BMD, BMC/body weight and BMC/age.
authors.affiliation: Institute of Nutrition and Food Hygiene, Chinese Academy of Preventive Medicine, Beijing 100050, China.
authors.forename: S A
authors.initials: SA
authors.lastname: Yin
authors.forename: Q
authors.initials: Q
authors.lastname: Xu
authors.forename: J
authors.initials: J
authors.lastname: Meng
authors.forename: X
authors.initials: X
authors.lastname: Zhao
authors.forename: S M
authors.initials: SM
authors.lastname: Hu
authors.forename: W F
authors.initials: WF
authors.lastname: Li
authors.forename: J
authors.initials: J
authors.lastname: Hu
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods*; D000367:Age Factors; D001835:Body Weight; D015519:Bone Density; D001842:Bone and Bones; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D012044:Regression Analysis; D012424:Rural Population; D012737:Sex Factors; D014505:Urban Population