Objectives: Osteoporosis is the most common metabolic disease of the bone, and is one of the most important major public health problems world wide. It is more occurred in female than male, but as the osteoporosis of men is increasing, therefore bone fractures of men are increasing. So we investigated the factors which are related to Bone Mineral Density(BMD) of male for prevention of osteoporosis. Methods: We measured the Bone Mineral Density(BMD) of lumbar spine($L_2$-$L_4$) and femoral neck in 5198 male, using dual energy X-ray absorptionmetry(DEXA; DPX-alpha). And then we analysed the 8 factors - age group, bone mass index(BMI), amount of smoking, drinking, exercise, and fast blood sugar, gastric disease, thyroid disease - which are related to BMD of male. Results: 1. In age group according to ${\ll}$Hwangjaenaekyong Somun, 黃帝內徑 素問${\gg}$, T-score was the highest at 17-24(三八歲) years group and decreased rapidly after 57-64(八八歲) years group in both lumbar spine($L_2$-$L_4$) and femoral neck. Therefore we concluded that T-score of male in lumbar spine($L_2$-$L_4$) and femoral neck change according to age group in ${\ll}$Hwangjaenaekyong Somun, 黃帝內徑 素問${\gg}$. 2. In BMI(body mass index), T-score of lumbar spine($L_2$-$L_4$) and femoral neck were the highest in obese group than non-obese group. In comparison of age group according to BMI, T-score of lumbar spine($L_2$-$L_4$) was significant difference in 17-72 years group and T-score of femoral neck was in 25-72 years group. 3. In exercise, T-score of lumbar spine($L_2$-$L_4$) and femoral neck was increasing as exercising more. In comparison of age group according to exercise, Both T -score of lumbar spine and femoral neck were significant difference in 25-72 years old. 4. T-score of lumbar spine($L_2$-$L_4$) was the highest in men who have taken exercise daily, and T-score of femoral neck was the highest in men who have taken exercise 1-3 times for a week. Conclusions : The age group in ${\ll}$Hwangjaenaekyong Somun, 黃帝內徑 素問${\gg}$ is related to BMD of men. And risk factors - BMI, exercise - are related to BMD of men. Therefore we expect that this study will help for prevention of osteoporosis of men.
This study was conducted with 20 female gymnasts and 23 age-matched controls to examine the relationship of diet, menstrual function and bone mineral density (BMD). The results obtained are summarized as follows : Energy intake of gymnasts was 968.9$\pm$421.4kcal, and energy expenditure was 2091.4$\pm$361kcal showing negative energy balance(-1,122.5$\pm$534.6kcal). The average intakes of calcium, iron, vitamin A, thiamin, riboflavin and niacin did not meet the Recommended Dietary Allowances for their age groups. Mean age at menarche in gymnasts is 15.8$\pm$1.2 years compared with 11.8$\pm$2.8 years in age-matched controls. The profile of estradiol, progesterone, and luteinizing hormone was lower than age-matched controls but not significant. Athletic amenorrheic gymnasts(n=12) have the menstrual irregularity(n=10) and amenorrhea(n=2). A number of variables as such nutritional deficiency in diet, negative energy blasnce and hypogonadotropic hormonal status were included. The bone mineral density (BMD) of female gymnasts were significantly higher than controls for the lumbar neck(p<0.001), trochanter(p<0.01), and Ward's triangle(p<0.001), but there were no significant differences for the lumbar spine and forearm. The lumbar spine BMD had a positive correlation with age and lean body weight. The femoral neck BMD was significantly associated with age, group and lean body mass. The trochanter BMD had significant relationship with group, body mass index, energy expenditure and follicular stimulating hormone. Ward's triangle BMD were related to body mass index and follicular stimulating hormone. The significant association was deterced between forearm BMD and age and lean body weight. The major finding of this investigation is that the BMD of gymnasts were higher than age-matched controls despite the fact that gymnasts as a group had inadequate dietary calcium and a higher propensity to have an interruption of their menstrual cycle. These data indicate that grymnsts involved in sports producing significant impact loading on the skeleton had greater femoral neck, trochanter and Ward's triangle bone density than age-matched controls.
Purpose: The purpose of this study was to investigate bone mineral density(BMD) and fear of falling and falls efficacy in the middle and old aged women over 50 years. Methods: The subjects consisted of 409 women. One-way ANOVA, Pearson's correlations and multiple regression were used to test the BMD, fear of falling and falls efficacy scale by using SPSSWIN 12.0. The BMD of the calcaneus were measured with peripheral dual energy x-ray absorptiometry(DEXA). Results: The average age was 63 years old and the average T-score was -3.21 in patient with osteoporosis, -1.72 with osteopenia, and .13 with normal. There were significant differences in the status of the BMD according to age(p=.000), height(p=.000), weight(p=.000), married status(p=.000), age of menarche(p=.002), and menopause(p=.002). The fear of falling was related with falls efficacy(r=-.247, p=.01), BMD(r=-.337, p=.01). Falls efficacy($\beta$=-.21, p=.000)and BMD($\beta$=-.26, p=.000) were predicting variables of fear of falling. The model explained 13% of the variance in fear of falling(F=27.38, p=.000). Conclusion: Fear of falling and falls efficacy were related with the bone mineral density. Falls efficacy and BMD may be useful for the predicting fear of falling for women in middle and old age. Further studies with assessment of fall-related risk-factors and a longitudinal study are necessary to assess with falls efficacy, and BMD with age.
The relationship between exercise and hone mineral density (BMD) was investigated in 153 healthy women. The BMD of lumbar spine, femur(neck, ward's triangle, trochanter) and total body was determined by dual energy X-ray absorptiometry in a group subjects(65) aged 19-59 years who had been exercising(swimming or aerobic dancing) regularly for at least 2 years as well as in a similar group of nonexercising control subjects(88). Weight, height, total lean body mass(=weight-total fat body mass-bone mineral content), animal and meat Ca, Ca index, energy expenditure, BMD, PYD/Cr were significantly higher in the exercisers than the controls. There were significantly negative correlations between age, ALP and osteocalcin and BMD, but significantly positive correlations between weight, BMI, total fat body mass and total lean body mass and BMD. Stepwise multiple regression analysis revealed that total lean body mass may be a better independent predictor to BMD than total fat body mass. The nutrient intakes were more closely related to BMD in the exercisers than the controls, but energy expenditure was more closely related to BMD in the controls than the exercisers Stepwise multiple regression analysis revealed that BMD was closely related to menopause, osteocalcin, age, weight in both groups but energy intake in the exercisers alone, energy expenditure in control alone. In premenopausal women, the exercisers had significantly greater BMD than the controls. But, in postmenopausal women, no significant difference between two groups was detected. When compared to BMD of the subjects with same age range to minimize the effect of age, aerobic dancing appears to be capable of exerting a positive effect on BMD in a group of subjects aged 19-44. However, no relationship of the swimming to BMD could be identified in a group of subjects aged 37-59. The results of this study suggest that the usefulness of exercisng appears to be significantly greater in preemenopausal women than postmenoparusal women and weight bearing activity, aerobic dancing is associated with increasing BMD at the weight bearing sites and could be beneficial in the prevention of bone loss. But the usefulness of swimming on bone should be further investgated.
Purpose: The purpose of this study was to investigate bone density and risk factors related to osteopenia to unmarried young adult women. Methods: The subjects consisted of 125 female college students. SPSS 12.0 program was used for the data analysis with t-test, ${\chi}^2-test$. The BMD of the calcaneus and body mass index (BMI) were measured with peripheral dual energy X-ray absorptionmetry. Other physical characteristics were measured with a scale and questionnaires. Results: The general characteristics of these people showed that the average age was 22.1 years old and that the average BMI was 20.8. The mean of BMD was normal, but 24.8% were osteopenia, 75.2% were normal. In the normal and osteopenia groups, there were significant differences in the status of the BMD according to age, height, weight, BMI, regular exercise, house chores, and the experiences of being on a diet. Conclusion: Women in their twenties had some osteoporosis risk, but they can change their BMD by doing regular exercise and by eating food to peak bone mass. For building peak bone mass, they need take exercise programs and education programs to prevent osteoporosis and follow-up care.
This study was conducted to examine dietary factors affecting bone status in the rural aged men. Quantitative ultrasound measurements (QUS) of bone, that may reflect certain architectural aspects of bone, have been shown to be associated with bone mineral density and fracture. Information of diet and anthropometry was collected in 164 aged men. Dietary intake data were obtained by 24-hour recall method. Measurements of the speed of sound (SOS, m/s), at distal radius, mid-tibia, phalanx, were performed using Omnisense 7000S analyzer (Sunlight Ltd., Tel Aviv, Israel). T-scores for bone SOS measurements at distal radius, mid-tibia and phalanx were 0.60, 0.03 and -0.42 respectively. The prevalence of osteopenia by use of the WHO criteria was 17.7% at the mid-tibia and 25.3% of the subjects at the distal radius. Age were negative association with bone SOS at three sites. Osteopenia group of radius were significantly lower in total foods and vegetable intakes than normal group. After adjusted for age, vegetable intakes were significantly and positively related to bone SOS at the radius. The bone SOS of the tibia were significantly and positively related to vegetable protein, iron, folate and vegetable intakes, but negatively related to fat intakes. Multiple regression analysis showed that bone SOS of tibia was positively associated with folate intakes. Vegetable intakes were positively associated with the bone SOS at three sites. These results indicate that the consumption of vegetables, sources of folate, may have a effect on bone status of men.
Purpose: This study was conducted to identify the problem of bone health and potential influencing factors of bone mineral density (BMD) for women across the life cycle of menopause. Methods: Complex sampling design data analysis was performed on the fifth Korea National Health and Nutrition Examination Survey 2010 in order to identify the problems with bone health, BMD and its influencing factors in 3,499 women who answered the menopausal status. Women's life cycle was categorized by premenopausal, postmenopausal, and elderly. Results: 35.1% of premenopausal women, 73.3% of postmenopausal women, and 96.0% of elderly women had problems with bone health that were related to low BMD. Influencing factors of BMD were residential area, alcohol drinking, and body mass index (BMI) for premenopausal women; age, residential area, education, marital status, income, and BMI for postmenopausal women; and age, education, and BMI for elderly women. Conclusion: Problems with bone health required to be considered as a major health problem in all women regardless their life cycle. Interventions to maximize BMD need to be developed by considering its influencingfactors across the women's life cycle.
With the aging of society a great deal of interest is being placed on the value of longitudinal data in evaluating physiological losses. We present data on test-one/test-two reliability and reproducibility for measures of training, bone density from a longitudinal study of master athletes. Fifty-two males (mean age at test $1=58.2{\pm}9.8\;years$) and thirty-two females ($54.4{\pm}8.8\;years$) were selected from the study population. Bone mineral density was determined using DEXA (Hologic 1500). The characteristics of the subjects are presented below as $means\;{\pm}\;S.D$. The data was imported into the Statistical Package for the Social Science (SPSS 9.0, Chicago, IL). Paired t-tests were performed between visit 1 and visit 2 in subjects. Pearson correlations were performed. The results of this study indicate the measures of training history, body mass and bone density are reasonably stable and reproducible. We conclude that body composition and bone density parameters are stable and reproducible over time in active older subjects. Physiologic measures in master athletes are fairly stable, and reproducible over time Longitudinal studies investigating age-related changes in master athletes need to be conducted on a time schedule of greater than two years.
Bone mass accretion during puberty appears to be critical in the development of peak bone mass. Although bone density of females in Korea has been studied, only a few studies have related bone mass with anthropometric patterns or puberty in the pubescent girls. This study was conducted as part of a study of major determinants of bone development during puberty. Subjects were aged 14∼16 yr(mean 14.97), and had no history of disorders or dedication use likely to influence bone or calcium metabolism. Bone mineral density and content were measured by dual energy X-ray absorptiometry using a Lunar DPX+Scanner (Lunar Madison, WI). Also, total body fat, and total lean body mass were assessed using a Lunar DPX dual-energy X-ray absorptiometer, Pubertal status was assessed according to the Marshall and Tanner guidelines. Serum levels of osteocalcin was measured by RIA using a commercial kit assay. Skinfold measurements were taken with a skinfold caliper(Lange Caliper, USA). Data were analyzed using the regression and GLM procedure of the statistical package SAS. The results indicated that the observed means for lumbar spine BMD and femoral BMD correspond to approximately 91% and 96% of the means for young adult females, respec tively. All subjects were menarchal, with the majority being in the middle to end stages of pubertal development. Total body BMD was positively related to fat mass(P<0.001), lean body mass and time since menarche, and negatively related to urine pyridinoline, serum alkaline phosphatase and osteocalcin. The data indicate that girls who reported lower age for menarche had significantly higher bone densities than girls who reported higher age for menarche. Attaining peak skeletal bone mass during puberty may reduce the incidence of osteoporosis in later life. this finding suggests that early menarche may augment peak bone mass, influencing the extent of bone loss later in adulthood. The results suggest that good nutrition in childhood appears to be needed not for growth and development, but possibly also to assure an optimal peak of bone mass and thus greater latitude for the maintenance or skeletal integrity in the face of bone losses. Troeps skinfold thickness was a better predictor of total BMD and total BMC than was any other skinfold thickness. The study did not find a relationship between total BMD and body fat %, but total fat was significantly positively related to total BMD(r=0.49) and total BMC(r=0.60). It supports earlier report that there was a significant correlation between TBMD and body weight. Conclusively, total fat, lean body mass and pubertal development could influence BMD in pubescent girls. Clearly, longitudinal studies are required to assess the effect of puberty on peak bone mass, and to define further the potential determinants of peak bone mass.
Purpose: The purpose of the study was to identify the relationship between obesity and bone mineral density in middle aged women. Methods: A cross-sectional survey design was utilized with a check list and physiological measurements. A total of 827 convenient samples were recruited from women who lived in the community. Bone mineral density was measured by T-score using the pixi method of Lumar on the left heel. Descriptive statistics and pearson correlation coefficient were utilized for data analysis. Results: Most were assessed as having normal weight(37.9%) or obese (57.4%) by BMI. Only 32% was assessed as having normal bone mineral density, while 40.3% had osteopenia, and 27.7% as osteoporosis. The BMI scores were significantly related to age, and episodes of fractures. Those with lower bone mineral density reported significantly more episodes of fractures and chronic disease. The T scores of Bone mineral density were significantly correlated with the scores of BMI (r= .126, p< .001). Conclusion: There is a strong need to develop intervention programs for this age group to manage bone mineral density loss to prevent occurrences of osteoporosis, and episodes of fracture.
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