Effect of physical activity and nutrition on bone mineral density in young Japanese women.

Department of Obstetrics and Gynecology, Faculty of Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan.
Journal of Bone and Mineral Metabolism (Impact Factor: 2.22). 02/2007; 25(6):414-8. DOI: 10.1007/s00774-007-0780-x
Source: PubMed

ABSTRACT We explored factors that contributed to bone mineral density (BMD) in Japanese young women by quantifying the factors related to BMD. Between October 2003 and February 2004, we conducted a cross-sectional survey to study the status of nutritional intake and physical activity, and evaluated the various physical and serum parameters in relation to BMD. Subjects included 254 healthy female students who were 19-25 years old and were attending the Nursing School of Tokyo Women's Medical University, Japan. We measured the lumbar BMD (L2-L4) in these women. Multiple regression analysis was used to predict factors that contributed to current L2-L4 BMD. Our results showed that body mass index (BMI) (standardized regression coefficient = 0.45, P < 0.0001), past exercise habit (standardized regression coefficient = 0.15, P < 0.0059), and current total energy expenditure (standardized regression coefficient = 0.12, P < 0.03) were factors that significantly predicted the current L2-L4 BMD, with BMI as a key contributing factor. A BMI of 20.8 kg/m(2) allowed acquisition of young adult mean (YAM) irrespective of the total energy expenditure. In subjects with low BMI, L2-L4 BMD increased with higher current energy expenditure. A BMI of 20.8 kg/m(2) or greater and an energy expenditure of 32.9 METS-h/day or greater are required to acquire the YAM. We concluded that BMI and physical activity were factors that affected the BMD of Japanese young women.

  • [Show abstract] [Hide abstract]
    ABSTRACT: Utilization of free-living populations of endangered wildlife species is usually strictly prohibited or restricted. Farming of endangered species can provide products that are in demand as a countermeasure. A novel forensic issue arises because it becomes necessary to discriminate the origin of given wildlife products. We tested the effectiveness of five measurements and four indexes of femur bone using farmed minks (n = 40) and escapees (n = 32). Results showed all measurements, namely body mass (Lf), body length (Mf), femur mass (Vf), femur length (Mb), and femur volume (Lb), were highly discriminatory. However, they are susceptible to the influence of nutrition level and sex. Femur length index (Ifl), femur linear density (Dl), and femur volume density (Dv) eliminated the influence of level of nutrition and were highly effective. However, Ifl and Dl were influenced by sex (p = 0.000). Because Dv was not influenced by sex (p = 0.683) and was highly effective, it was the preferred index.
    Journal of Forensic Sciences 07/2014; · 1.24 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Although bone loss contributes to osteoporosis (OP) in the elderly, little is known about changes in bone mineral density (BMD) in young adults that lead to bone loss. Here, we evaluated the rate of bone change and risk factors for bone loss in young men and women using data from a 3-year prospective study of Japanese medical students. The study included a self-administrated questionnaire survey, anthropometric measurements, and BMD measurements of the spine (L2-L4) and femoral neck (FN). After 3 years, the BMD of the participants was again measured at the same sites. In all, 458 students (95.4 %; 298 men and 160 women; age range, 18-29 years; mean age, 20.2 years) completed both the baseline and follow-up surveys. The mean L2-L4 BMD value at baseline increased significantly within 3 years. This tendency was also observed for the FN in men but not in women. The annual changes at L2-L4 were 1.78 % in men and 0.97 % in women per year; those for FN were 1.08 % in men and 0.08 % in women per year. However, 20.3 % and 38.5 % of the total freshmen lost BMD in the lumbar spine and FN, respectively. After adjustment for age and body mass index, logistic regression analysis revealed that bone loss in men at L2-L4 at the baseline was affected by skipping breakfast. In contrast, exercise (>2 h/week) increased lumbar spine BMD in both genders. These findings indicate that breakfast and exercise are important for maintaining BMD in young men and women.
    Journal of Bone and Mineral Metabolism 09/2013; · 2.22 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Back ground and aims: It is well known that insufficient nutrient intake leads to poor bone status. To find a simple evaluation method for prevention of nutrition intake disorder, a cross-sectional study with 275 healthy Japanese female students aged 19-25 was conducted. Methods: Anthropometric parameters, bone mineral density (BMD) at lumbar and total hip, bone metabolic markers and physical activity were measured in study participants and the frequency of skipping meals (breakfast, lunch, supper), and absolute values for nutrient intakes were assessed using a Diet History Questionnaire. Results: The frequency of skipping breakfast significantly correlate to total energy intake (ρ= -0.276, p<0.001). BMI, total intake of energy, intake of protein, intake of phosphate, and energy expenditure positively correlated significantly to BMD at lumbar and total hip (p<0.05) using simple linear regression. BMI (regression coefficient (b))=0.088, p<0.001), bone alkaline phosphatase (b= -0.050, p=0.012), total energy expenditure (b=0.019, p<0.001), and frequency of skipping breakfast (b= -0.018, p=0.048) were independent risk factors for lower total hip BMD by multiple regression analysis. The total hip BMD in participants who skipped breakfast three or more times was significantly lower than in those who did not skip breakfast (p=0.007). Conclusions: In conclusion, managing the frequency of skipping breakfast and reducing it to <3 times per week may be beneficial for the maintenance of bone health in younger women.
    Asia Pacific Journal of Clinical Nutrition 12/2013; 22(4):583-589. · 1.06 Impact Factor

Full-text (2 Sources)

Available from
May 22, 2014