Published online Sep 30, 2010.
https://doi.org/10.3349/ymj.2010.51.6.857
Relation between Obesity and Bone Mineral Density and Vertebral Fractures in Korean Postmenopausal Women
Abstract
Purpose
The traditional belief that obesity is protective against osteoporosis has been questioned. Recent epidemiologic studies show that body fat itself may be a risk factor for osteoporosis and bone fractures. Accumulating evidence suggests that metabolic syndrome and the individual components of metabolic syndrome such as hypertension, increased triglycerides, and reduced high-density lipoprotein cholesterol are also risk factors for low bone mineral density. Using a cross sectional study design, we evaluated the associations between obesity or metabolic syndrome and bone mineral density (BMD) or vertebral fracture.
Materials and Methods
A total of 907 postmenopausal healthy female subjects, aged 60-79 years, were recruited from woman hospitals in Seoul, South Korea. BMD, vetebral fracture, bone markers, and body composition including body weight, body mass index (BMI), percentage body fat, and waist circumference were measured.
Results
After adjusting for age, smoking status, alcohol consumption, total calcium intake, and total energy intake, waist circumference was negatively related to BMD of all sites (lumbar BMD p = 0.037, all sites of femur BMD p < 0.001) whereas body weight was still positively related to BMD of all sites (p < 0.001). Percentage body fat and waist circumference were much higher in the fracture group than the non-fracture group (p = 0.0383, 0.082 respectively). Serum glucose levels were postively correlated to lumbar BMD (p = 0.016), femoral neck BMD (p = 0.0335), and femoral trochanter BMD (p = 0.0082). Serum high density lipoprotein cholesterol (HDLC) was positively related to femoral trochanter BMD (p = 0.0366) and was lower in the control group than the fracture group (p = 0.011).
Conclusion
In contrast to the effect favorable body weight on bone mineral density, high percentage body fat and waist circumference are related to low BMD and a vertebral fracture. Some components of metabolic syndrome were related to BMD and a vertebral fracture.
INTRODUCTION
Several epidemiological studies have shown that high body weights or high body mass indices (BMI) are related to a high bone mass, and that decreases in body weight may cause bone loss.1-3 The following hypothetical mechanisms are thought to underlie these epidemiologic observations. First, it is generally accepted that a higher body mass results in heavier mechanical loading of bone, enhancing the differentiation of osteoblasts. Weight gain in the postmenopausal period results in an increase in the number of adipocytes, which are important sources of estrogen derived from aromatization, resulting in increasing a bone mineral density (BMD) in postmenopausal women.1, 4 Furthermore, the insulin resistance of fat cells may increase circulating quantities of sex hormones such as androgens and estrogen, thereby increasing bone mass.5
However, an opposing theory that fat mass is negatively related to BMD has been suggested. To evaluate the relationship between obesity and bone mass, it is necessary to differentiate between fat body mass and lean body mass. Zhao, et al.6 showed that fat mass is negatively related to bone mass when adjusted for body weight. In another study, risks of osteoporosis, osteopenia, and non-spine fractures were significantly elevated in subjects with higher percentages body fat after accounting for body weight.7 In adolescents and young adults, fat mass adjusted by lean mass had negative or no associations with bone markers and BMD.8 There are several possible molecular mechanisms that can explain these findings. With increasing age, osteoblasts in the bone marrow are replaced by adipocytes and it is reported that increased bone marrow fat is inversely correlated with decreased trabecular bone volume.9, 10 In the bone marrow, peroxisome proliferator-activated receptor-gamma (PPAR-γ) stimulates adipocyte differentiation but inhibits osteoblast development from mesenchymal stem cells.11 In vivo, increased PPAR-γ activity leads to bone loss whereas decreased PPAR-γ activity results in increased bone mass.12 Two adipokines, leptin and adiponectin, which are derived from adipocytes, also play critical roles in bone formation and bone resorption.13-16
With these backgrounds, we measured different adiposities including body weight, BMI, percentage body, fat and waist circumference to investigate the relation to BMD of all sites and vertebral fracture. Further, we observed the relation between metabolic parameters such as serum triglyceride (TG), high density lipoprotein (HDL), glucose, blood pressure, and BMD of all sites and vertebral fractures.
MATERIALS AND METHODS
Study participants
Healthy postmenopausal female subjects between the ages of 60-79 years, who were currently living in the community, were recruited from the visitors who came to the National Health Assessment Center in woman hospitals in Seoul, South Korea for a periodic health check-up. Subjects who had a history of co-morbidities known to affect bone metabolism such as cancer, inflammatory bowel disease, pituitary diseases, hyperthyroidism, primary hyperparathyroidism, renal failure, rheumatic disease, or adrenal disease were excluded. Subjects who had used glucocorticoids over the last five years and any hormone replacement therapy (HRT) or selective estrogen receptor modulator (SERM), bisphosphonate, or calcitonin for the past year were also excluded. Any patient with vertebral fractures due to known accidental traumas were also excluded.
Data collection
Body weight (kg), BMI (kg/cm2), percent body fat (%), and abdominal circumference (cm) were measured and serum glucose (mg/dL) to evaluate adiposity, triglyceride (mg/dL), HDL cholesterol (mg/dL), and low density lipoprotein (LDL) cholesterol (mg/dL) were measured in fasting blood samples. Systolic and diastolic blood pressures were measured by nurses. The definition of metabolic syndrome was followed by the National Cholesterol Education Program's Adult Treatment Panel III (NCEP III) guidelines.17
Osteoporosis parameters included BMD (g/cm2) in the hip and spine, vertebral fractures, urine deoxypyridinoline (DPD), and serum total osteocalcin (OC). Lateral radiographs of the thoracic and lumbar spine demonstrating the presence of vertebral fractures were interpreted by radiographic morphometry using Genant's semi-quantitative method.18 BMD determined at the lumbar spine (L2-L4) was assessed using dual energy X-ray absorptiometry (DEXA). Lunar (Madison, WI, USA) scanners were used in this study. Nutritional assessment was performed by dietitians using a 24 hr diet recall method.19 From this, we calculated the status of energy expenditure, total calorie intake, calcium intake, and fat intake.
This study was conducted after approval of all research procedures by the hospital institutional review board (IRB). Written informed consent was obtained from all subjects.
Statistical analysis
Statistical analyses were performed using SAS software for Windows (v.9.1, Cary, NC, USA). Categorical variables were summarized using frequencies and percentages, while continuous variables were summarized using sample size, mean, median, standard deviation, and minimum and maximum values. Significance was declared at a two-sided 0.05 level, unless otherwise specified. To adjust for age, body weight, percentage body fat, smoking status, alcohol consumption, total energy expenditure, total calcium intake, and total fat and cholesterol intake, we used a general linear model for continuous dependent variables (BMD, bone marker, lipid profile, etc.) and a logistic regression model for categorical dependent variables (risk of osteoporotic fracture and metabolic syndrome). An association between the independent variables group and the risk of osteoporotic fracture and metabolic syndrome was calculated using odds ratios and 95% confidence intervals (CI).
RESULTS
The major characteristics of the 907 subjects are shown in Table 1. The average age of the recruited patients was 65.18 ± 5.42 years. Among the 907 subjects, 302 (33%) individuals were overweight and 341 (38%) were obese. The prevalence of metabolic syndrome was 34%, which is close to the value of 32.6% reported for the Korean population (2005, the Third Korea National Health and Nutrition Examination Survey, KNHANES III ).20 The average lumbar BMD (L BMD) was 0.84 ± 0.26 g/cm2, while the average femoral BMD (neck, trochanter, ward) was 0.67 ± 0.12, 0.54 ± 0.09, and 0.45 ± 0.11 g/cm2, respectively. Among the 907 subjects, 44 (5%) individuals had a normal BMD, 350 (38%) were osteopenia, and 513 (56%) were osteoporosis. The prevalence of osteoporotic lumbar fractures was 21% in this study. Because no official statistics for osteoporotic vertebral fractures are available for Korea, we were not able to determine whether this value is representative of the general Korean population.
Table 1
Characteristics of the Subjects
A simple correlation analysis revealed that both body weight (r = 0.2947, p < 0.001) and percentage body fat (r = 0.1935, p < 0.0001) were significantly and positively related to lumbar BMD (data not shown). However, waist circumference was negatively related to the lumbar and all femur site BMD after adjusting for age, smoking status, alcohol consumption, total calcium intake, total energy intake, and body weight (Table 2). Percentage body fat was also negatively correlated to trochanter BMD but not to other sites.
Table 2
Metabolic Variables Relating to BMD
The serum glucose level was postively correlated to lumbar BMD (p = 0.016), femoral neck BMD (p = 0.0335), and femoral trochanter BMD (p = 0.0082). Serum high density lipoprotein cholesterol (HDLC) was only related to femoral trochanter BMD (p = 0.0366). Serum TG and systolic blood pressure (BP) were not related to BMD at any site.
Table 3 demonstrates differences in independent variables between the fracture and non-fracture groups. The average age of subjects in the fracture group was higher than that of the non-fracture group (odds ratio 1.077, 95% CI 1.042-1.114). The average body weights and BMIs of the two groups were not signifcantly different. However, the percentage body fat and waist circumference were much higher in the fracture group than the non-fracture group (odds ratio 1.064, 95% CI 1.003-1.129, odds ratio 1.043, 95% CI 1.011-1.077, respectively Fig. 1).
Fig. 1
Odds ratios of vertebral fractures according to adiposity variables. All variables are adjusted for age, smoking status, alcohol consumption, total calcium intake, total energy expenditure, and total calorie intake and variable of Wt (kg) and BMI are additionally adjusted by body fat (%), whereas variable of body fat (%) and waist (cm) are adjusted by Wt (kg), respectively. BMI: body mass indices.
Table 3
Metabolic Variables Affecting the Incidence of Osteoporotic Fractures
DISCUSSION
Both obesity and osteoporosis are common diseases that affect millions of people. In recent decades, the association between obesity and osteoporosis has been actively investigated both from an epidemiological standpoint and from a basic research standpoint, and common pathogenic links have been proposed.1-3, 6, 18 Although it is generally accepted that obesity has a protective effect on bone tissue, some studies have revealed the opposite: that obesity is not beneficial or has a negative effect on osteoporosis.21 The relationship between obesity and osteoporosis varies depending on how obesity is defined. If obesity is defined on the basis of BMI or body weight, obesity appears to be a protective factor against bone mineral loss or vertebral fractures. However, if obesity is based on the percentage body fat, obesity may be a risk factor for osteoporosis. Our data support that body weight is positively related with BMD and a protective factor for vertebral fractures, whereas percentage body fat and waist circumference are negatively related to BMD and a risk factor for vertebral fractures. These results are consistent with those of previous studies in the Chinese population.6, 7 Some studies have demonstrated that not only lean mass, but also fat mass contribute positively to BMD.22-25 In one study, fat mass appeared to contribute inversely to BMD at all sites in young men, but was positively related to BMD at the forearm and calcaneous in older men.22 However, the authors of this study did not adjust for body weight when calculating the effect of fat mass on BMD. We found that percentage body fat was positively related to BMD at all sites except the femur ward (p < 0.001, data not shown) when not adjusting for body weight. When other variables including body weight were accounted for, this direction became opposite. Waist circumference, which provides an indication of central obesity (visceral fat mass), is related to radius bone mineral density in postmenopausal obese women, although BMI was not related to BMD in the same study.26, 27 Our data indicate that waist circumference (cm) is related to BMD (Table 2) and osteoporotic vertebral fractures (Table 3).
Metabolic syndrome in relation to osteoporosis has been studied. In the Rancho Bernardo Study, after adjusting for BMI, metabolic syndrome was related to lower BMD.28 Furthermore, the incidence of osteoporotic non-vertebral fractures was elevated in subjects with metabolic syndrome (MS). Therefore, metabolic syndrome could be a novel risk factor for osteoporosis. Accumulating evidence suggests that individual components of metabolic syndrome such as hypertension, increased triglycerides, and reduced high-density lipoprotein cholesterol are also risk factors for low bone mineral density.29-31 Clinical observations of diabetes patients suggest that hyperglycemia is likely to reduce BMD and to increase the risk of osteoporotic fracture.32, 33 The high vertebral fracture of diabetes patients can be explained by the fact that they are inclined to fall due to neuropathy or retinopathy. However, we found that serum glucose was positively correlated to lumbar, femur neck, and femur trochanter BMD (Table 2). As we excluded diabetic patients in our study, the average fasting serum glucose level among participating subjects were 87.26 ± 18.81 mg/dL. This relatively low glucose level could account for the apparently contradictory results. In another study, serum glucose levels were also positively related to BMD at the lumbar spine and femoral neck in postmenopausal women with primary hyperparathyroidism.34 Further investigation is required to evaluate whether serum glucose levels have an effect on bone mineral density and risk of fractures.
The association between lipid profiles and BMD is also controversial. Turkish postmenopausal women with spine fractures had lower levels of total cholesterol, TG, and LDL-C than patients without fractures.35 However, another study reported that elevated lipids, including total cholesterol and TG, are positively related to high BMD.36 Some studies have demonstrated that high serum HDL is related to lower BMD in both pre- and postmenopausal women.37-39 Our data shows that high HDL protects against osteoporosis, increasing BMD, and lowering the odds ratio of osteoporotic fractures (Tables 2 and 3). The mechanism by which lipids affect BMD and the risk of osteoporotic fractures is unclear, and needs to be investigated. The overall prevalence of metabolic syndrome was not related to osteoporotic fractures (Table 3).
Our study has some limitations. To demonstrate that body composition is related to bone mineral density, body fat mass should be analyzed as visceral fat and subcutaneous fat. Peripheral fat mass is not correlated to bone mineral density,40 whereas visceral fat (intra-abdominal fat) mass might have a linkage with BMD.41 Imaging analysis using CT scans is also essential to evaluate the exact distribution of visceral fat and subcutaneous fat and their effects on bone.41 There are possible errors to interpret the effect of fat tissue on low bone mineral density because fat tissue absorbs less radiation than lean tissue, so high percentage fat could yield a false low BMD.42
In conclusion, high body weight and BMI are positively related to high BMD and might decrease the risk of vertebral fractures, whereas waist circumference and percentage body fat are negatively related to BMD and might increase the risk of vertebral fractures. Some components of metabolic syndrome were related to BMD and vertebral fractures. This common clinical linkage between obesity and osteoporosis indicates that co-treatment drugs or nutrients that can prevent and treat these chronic illnesses need to be developed in the future.
The authors have no financial conflicts of interest.
ACKNOWLEDGEMENTS
This study was partially supported by Korean Academy of Family Medicine in 2008. Also the authors thank to Drs. Yangsoo Jang, Jong Ho Lee, and Sung Il Rho for supporting this research.
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