A Healthier Lifestyle Pattern for Cardiovascular Risk Reduction Is Associated With Better Bone Mass in Southern Chinese Elderly Men and Women (original) (raw)
Related papers
Food and nutrition bulletin, 2009
Dietary and lifestyle variations may be too small to detect possible associations with bone mineral density (BMD) within a community. Pooled data from communities with different diets and lifestyle but of the same ethnicity may help explore these associations. To examine the effects of dietary and lifestyle factors on BMD in young Chinese women. Baseline data were analyzed from 441 women aged 20 to 35 years in Hong Kong and Beijing who were participating in a longitudinal study evaluating the effect of milk supplementation on bone health. Data on demographic characteristics, lifestyle, use of oral contraceptives, diet, physical activity, and BMD of total hip, femoral neck, and total spine measured by dual-energy x-ray absorptiometry were pooled for analysis. Hong Kong subjects had significantly lower BMD and higher body-size-adjusted dietary intakes of protein, fat, fiber, vitamins, potassium, sodium, and selenium than Beijing subjects. Multivariate regression of pooled data showed ...
The Journal of Clinical Endocrinology & Metabolism, 2014
Context: The significance of associations between bone mineral density (BMD) and atherosclerosis in the Asian population is less clear. Objective: The aim of this study was to explore the population-level associations between BMD and subclinical atherosclerosis. Design and Setting: This was a community-based cross-sectional study conducted in Shenyang, China. Participants: A total of 385 Chinese women and men aged 37-87 years were studied. Main Outcome Measures: The BMD was measured at the total hip and lumbar spine using dualenergy x-ray absorptiometry. The ankle-brachial index (ABI), pulse wave velocity (PWV), and carotid intima-media thickness (CIMT) were measured to assess atherosclerosis. Multiple regression analysis was applied to study the associations. Multicolinearity was examined using the variance inflation factor, condition index, and variance proportions. Factor analysis and principal component regression were used to remove the problem of multicolinearity. Results: The differences of ABI, PWV, and CIMT among the normal BMD, osteopenia, and osteoporosis groups were not found. Total hip BMD was correlated with ABI in women after adjustment for age (r ϭ 0.156). Sex-specific regression models included adjustment for age, body mass index, cigarette smoking, alcohol consumption, menopausal status (women), systolic blood pressure, diastolic blood pressure, triglycerides, total cholesterol, high-density lipoprotein cholesterol, lowdensity lipoprotein cholesterol, fasting blood glucose, serum uric acid, estimated glomerular filtration rate, high-sensitivity C-reactive protein, and fibrinogen. Total hip BMD was associated with ABI in women after adjustment for age (per SD decrease in ABI: Ϫ0.130 g/cm 2 , P ϭ .022), but the association was borderline significant after full adjustment (P ϭ .045). Total hip BMD and lumbar spine BMD were not associated with ABI, PWV, and CIMT after full adjustment in participants without a fracture history. The risk of osteoporosis was not associated with ABI, PWV, and CIMT.
Adiposity reduces the risk of osteoporosis in Chinese rural population: the Henan Rural Cohort Study
Background: Adiposity plays a crucial role in the risk of osteoporosis. However, the impact of body fat distribution on the skeleton is contentious. The study was designed to explore the association of various adiposity indices with estimated bone mineral density (BMD) and the risk of osteoporosis based on body mass index (BMI), body fat percentage (BFP), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), and visceral fat index (VFI). Methods: A total of 8475 subjects derived from the Henan Rural Cohort Study were analyzed. The estimated BMD of study participants were measured by calcaneal quantitative ultrasound (QUS). Linear regression and binary logistic regression were performed to estimate the association of adiposity and the outcomes. Results: The mean age of the study participants was 55.23 ± 11.09 years and 59.61% were women. The crude and age-standardized prevalence of high osteoporosis risk was 16.24 and 11.82%. Per unit increment in adiposity indices was associated with 0.005-0.021 g/cm 2 increase in estimated BMD. The adjusted odds ratios (95% confidence interval) for high osteoporosis risk in per 1 SD increase of WC, WHR, WHtR, BMI, BFP, and VFI were 0.820 0.748, 0.898), 0.872 (0.811, 0.938), 0.825 (0.765, 0.891), 0.798 (0.726, 0.878), 0.882 (0.800, 0.972), and 0.807 (0.732, 0.889), respectively. Stratified analyses indicated greater effects on individuals aged 55 years or older. Conclusions: The adiposity indices have an inverse association with the risk of osteoporosis among Chinese rural population, especially in the elderly.
Estimation and projection about the standardized prevalence of osteoporosis in mainland China
Archives of Osteoporosis, 2019
We performed a systematic analysis of the standardized prevalence of osteoporosis in mainland China from 1990 to 2050. Introduction Osteoporosis is the most common bone disease. We aimed to investigate the standardized prevalence of osteoporosis in mainland China at the national and regional levels, with projections until 2050. Methods A comprehensive literature search was performed in PubMed, EMBASE, Cochrane Library, CNKI, Wanfang, and CBM-SinoMed. We constructed resample sets to calculate the standardized prevalence in each study. Multilevel mixed-effects logistic regression was used to estimate the age-specific and sex-specific prevalence. The United Nations Population Division (UNPD) data and regional population data from the fifth and sixth censuses in mainland China were used to estimate and project the national and regional prevalence of osteoporosis. Results The standardized prevalence of osteoporosis ranged from 5.04% (2.12~11.34%) to 7.46% (3.13~16.32%) in males aged ≥ 50 years and from 26.28% (15.38~40.40%) to 39.19% (25.74~53.95%) in females aged ≥ 50 years from 1990 to 2050. Moreover, we did not find a significant difference in the standardized prevalence among three geographic regions (Central China, West China, and East China). Conclusion We found that osteoporosis is a serious public health challenge in mainland China. The findings in our study add insight into the epidemiology of osteoporosis and would be beneficial for the prevention and treatment of osteoporosis in mainland China.
Osteoporosis International, 2001
Bone mineral density (BMD) has been shown to be different in different ethnic groups. When lifestyle and diet evolve, there is a possibility of a change in the normal reference BMD values within an ethnic group over a period of time. As the osteoporotic risk uses the Tscore as the bench mark, it is pertinent to evaluate whether such changes do occur. Two measurements, 5 years apart, of the BMD of the spine and the hip were made in a cohort of Chinese women in Hong Kong. A kernel function smoothing method, a nonparametric statistical method, was employed to present the BMD data. The greatest rate of bone loss was found to occur between 50 and 59 years of age, but this rate of loss was reduced from age 60 onwards. The BMD values obtained in these two measurements were different from the previous studies in the same population and were found to be higher at the lumbar spine and neck of femur in women over 65 years of age. Even within the cohort, there seemed to be a reduction in the BMD values of the hip in a span of 5 years, although the differences were statistically insignificant. These studies suggest that BMD values could change in a population for a variety of possible reasons. Hence, the reference BMD values might need to be evaluated at regular intervals for the Tscore to be meaningful.
International Journal of Environmental Research and Public Health, 2019
Osteoporosis is a growing health problem in Asian countries with a rapidly expanding aging population. Adequate knowledge and positive health beliefs regarding osteoporosis will encourage individuals to adopt measures to protect bone health. This study aimed to investigate the association between knowledge, beliefs, and practices regarding osteoporosis and bone health among Malaysians Chinese aged 40 years and above. A cross-sectional study was conducted among 367 Malaysians Chinese (182 men, 185 women) aged ≥ 40 years in Klang Valley, Malaysia. They completed a questionnaire on knowledge, beliefs, and practices of osteoporosis and underwent bone mineral density scan using a dual-energy X-ray absorptiometry device. The subjects showed moderate knowledge and high level of health beliefs regarding osteoporosis, but poor osteoprotective practices. Osteoporosis knowledge and beliefs were significantly different based on subjects’ demographic characteristics (p < 0.05). Additionally, ...
2000
Background:Higherfatmassmaybeanindependentriskfactorfor osteoporosis and osteoporotic fractures. Objective: We aimed to determine the independent contribution of fat mass to osteoporosis and to estimate the risk of osteoporotic fractures in relation to body weight, lean mass, and other confound- ers. Design:Thiswasacommunity-based,cross-sectionalstudyof7137 men, 4585 premenopausal women, and 2248 postmenopausal women aged 25-64 y. Total-body and hip bone mineral content (BMC) and bone mineral density
Prevalence and Predictors of Osteoporosis Among the Chinese Population in Klang Valley, Malaysia
Applied Sciences, 2019
The prevalence of osteoporosis is forecasted to escalate in Malaysia with an increasing elderly population. This study aimed to analyze the prevalence and the risk factors of osteoporosis among middle-aged and elderly Chinese Malaysians. Three hundred sixty seven Malaysian Chinese aged ≥40 years in Klang Valley, Malaysia, were recruited. All subjects completed a structured questionnaire comprised of demographic details, medical history, diet, and lifestyle practices. Body anthropometry and bone mineral density measurements were also performed. The relationship between bone health status and risk factors was determined using multivariate logistic regression. Fifteen-point-three percent of the overall study population and 32.6% of those aged ≥71 years had osteoporosis. The prevalence of osteoporosis among women (18.9%) was higher than men (11.5%). The significant predictors of osteoporosis were age, body weight, and low monthly income. Lean mass, low education level, and being underwe...
Validation of various osteoporosis risk indices in elderly Chinese females in Singapore
Osteoporosis International, 2006
Introduction This study aimed to compare the sensitivity and specificity of various published indices for identifying elderly Chinese females at risk of osteoporosis in Singapore.Methods The indices considered were the Simple Calculated Osteoporosis Risk Estimation (SCORE), the Osteoporosis Risk Assessment Instrument (ORAI), the Age Bulk One or Never Estrogens (ABONE), body weight (WEIGHT), and the Osteoporosis Self-Assessment Tool for Asians (OSTA). Altogether,
Bone mineral density in elderly Chinese: effects of age, sex, weight, height, and body mass index
Journal of Bone and Mineral Metabolism, 2004
To enhance our understanding of the relationship between bone mineral density (BMD) and sex, age, body mass index (BMI), weight, and height in elderly Chinese, we studied 258 males aged 50–80 years (mean ± SD, 62.9 ± 6.2 years) and 193 females aged 46–75 years (59.0 ± 6.2 years). We measured BMD at the lumbar spine (L1–L4), hip (femoral neck, trochanter, and intertrochanter), and Ward’s triangle. A significant difference of age-adjusted BMD among male-female groups (P ≪ 0.0001) was observed. After adjustment for weight, the magnitude of the sex difference in BMD was reduced at all studied skeletal sites; for example, the difference declined from 18.3% to 5.5% at the spine. There were significant differences in BMD among age-stratified groups at all the sites in both sexes (P ≪ 0.01), except for spine BMD in males (P = 0.928). Regression analysis suggested that, with aging, greater differences of BMD distribution exist in elderly females than in males. Weight accounted for the greatest proportion of age-adjusted BMD variation (e.g., at femoral neck, R2 = 0.17 in males) among four variables: weight, height, BMI, and a principal component formed from weight and height. These results suggested that weight decreased the sex difference in BMD in elderly Chinese. Patterns of age-related BMD distribution and BMD change among different age groups differed between the sexes and between the studied sites. Weight accounted for most of the effect of two correlated variables (weight and height) on BMD in our sample.