2Laboratory of Epidemiology and Public Health, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
3Pharmacology Department, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Methods: We conducted a cross sectional study including post menopausal women with and without MetS according to the National Cholesterol Education Program Adult Treatment Panel III criteria. The two groups were compared for BMD after adjusting for covariates that affected BMD significantly. A stepwise multiple linear regression analysis was used to identify independent predictors of BMD.
Results: We included 170 women, 81 with MetS and 89 without MetS. The prevalence of MetS was 48%. In women with MetS, the mean BMD was 0.915 ± 0.159 g/cm2 in lumbar spine and 0.865 ± 0.143 g/cm2 in total hip. No significant statistical difference was found in comparison with the MetS free group (0.928 ± 0.160 g/cm2; p=0.61 in lumbar spine, and 0.845 ± 0.143 g/cm2; p=0.29 in total hip). Multiple regression analyses showed that waist circumference was associated with bone loss in lumbar spine (p= 0,003), while triglycerides was non-associated with bone loss on total hip (p= 0.05).
Conclusion: It seems that BMD is not associated to MetS in post menopausal women. Abdominal obesity might be associated with bone loss underlying the possible effect of inflammation in pathophysiology of osteoporosis and bone loss.
Keywords: Bone mineral density; Metabolic Syndrome; Post menopausal Women;
Osteoporosis (OP) is a skeletal disorder characterized by compromised bone strength that predisposes affected persons to an increased risk of fracture and consequently to high morbidity and mortality [2]. In our context, 46% of post menopausal women develop at least one vertebral fracture [3].
Although the relationship between cardiovascular disease and osteoporosis has been widely studied, the association between metabolic syndrome, a strong risk factor for vascular disease, and bone loss has not been extensively addressed, and studies are controversial. A study conducted in the USA has found, after adjusting for age, gender, and other covariates, that femur neck BMD was higher in subjects with MetS [4]. In the Camargo Cohort Study, women with MetS had higher age-adjusted BMD at the total hip, femur neck, and lumbar spine than MetS-free women [5]. On the other hand, men with MetS had a lower BMD at the femur neck in the Rancho Bernardo Study after adjusting for Body Mass Index (BMI) [6]. In addition, a recent Korean study has reported that women with MetS also have a lower BMD at the lumbar spine [7].
The joint occurrence of the two diseases is thought to result from the common risk factors and path physiological mechanisms, such as smoking, a sedentary lifestyle, sex hormone deficiency, low-grade inflammation, and increased oxidative stress [8–11]. Cumulative evidence has demonstrated that increased bone loss and a lower bone mass are associated with cardiovascular mortality [12, 13] and that an increased risk of cardiovascular events is proportional to osteoporosis severity at the time of diagnosis [14]. MetS is characterized by a proinflammatory state that negatively affects cardiovascular risk [15], and OP is linked to inflammation [16, 17]. Proinflammatory cytokines up-regulate receptor activators of nuclear factor Kappa B ligand, leading to increased bone resorption and osteoporosis [18-20]. In addition, because metabolic syndrome consists of several single components that could have their own independent relationship with osteoporosis, the possible association of each of them with the skeletal disease is also worth considering [21-25].
The aim of this study was to evaluate the effect of MetS on BMD in post menopausal women, and to assess the relationship between each component of MetS and BMD.
All subjects underwent a medical interview and a thorough medical examination. The height and weight of each patient were obtained with them wearing indoor clothing and without shoes. Body Mass Index (BMI) was then calculated as weight (kg) divided by square of height (m). Waist circumference (in centimeter) was measured on bare skin between the tenth rib and the iliac crest at the end of a normal expiration. Blood Pressure (BP, in millimeter of mercury), with systolic and diastolic measures, using a calibrated aneroid sphygmomanometer was recorded twice after resting for more than15 min. The average of two measurements was used.
Exclusion criteria were: (1) personal history of early menopause (<40 years), (2) missing information about menopausal history or if the subject had undergone a hysterectomy prior to natural menopause, (3) nulliparity, (4) use of alcohol, (5) use of drug that can affect bone metabolism such as hormone therapy, anticonvulsivants or corticosteroids, (6) taking medication for osteoporosis, diabetes hypertension or hypercholesterolemia, (7) malignancy, (8) thyroid disease or thyroid function abnormality, (9) inactive life style with limited physical activity (paraplegia, stroke, dementia…), and (10) acute infection or chronic inflammatory disease.
The study was approved by the local ethics committee of the Faculty of Medicine; Sidi Mohammed Ben Abdellah University. All women gave written informed consent.
Analysis of Covariance (ANCOVA) was used to compare the BMD levels of women with and without MetS after adjusting for significant BMD covariates including age, BMI, and physical exercise.
A stepwise multiple linear regression analysis was used to identify independent predictors of BMD of the lumbar spine and total hip.
The Statistical significance was set as p ≤ 0.05.
We performed correlation analyses between lumbar spine and total hip BMD, and the known BMD covariates (Table 2). Age showed a negative correlation, and weights a positive correlation with BMD in both sites. Height and BMI had a positive correlation with respectively lumbar spine and total hip BMD.
We analyzed BMD values in lumbar spine and total hip in women with and without MetS (Table 3). It does not seem that BMD is associated to MetS. These findings remained unchanged after adjusting for age, BMI and exercise.
To identify the independent factors affecting the BMD of
|
Women with MetS (n=81) |
Women without MetS (n=89) |
p |
Age (years) |
60 ± 7.64 |
58 ± 6.88 |
0.05 |
Age of menopause (years) |
49.11 ± 7.48 |
48.92 ± 5.3 |
0.84 |
Smokers (n, %) |
0 |
0 |
- |
Drinkers (n, %) |
0 |
0 |
- |
Height (cm) |
159.7 ± 5.03 |
159.7 ± 4.9 |
0.980 |
Weight (kg) |
78.6 ± 10.20 |
73.04 ± 10.54 |
<0.001 |
BMI (Kg/m2) |
30.73 ± 4 |
23.80 ± 3.98 |
0.002 |
Exercise (>3/week) (n, %) |
47 (49.5) |
48 (50.5) |
0.351 |
MetS components |
|
|
|
Waist circumference (cm) |
93.78 ± 7 |
88.79 ± 8.6 |
<0.001 |
Fasting glucose (mg/dL) |
120.54 ± 37 |
98 ± 14.5 |
<0.001 |
Triglycerides (mg/dL) |
165 ± 62.39 |
121.69 ± 37.39 |
<0.001 |
HDLc (mg/dL) |
45 ± 10.16 |
59.32 ± 11 |
<0.001 |
Systolic BP (mm Hg) |
13.12 ± 1.3 |
12.66 ± 0.74 |
0.004 |
Diastolic BP (mmHg) |
8 ± 1 |
7.82 ± 0.61 |
0.21 |
Calcium (mg/dL) |
9.65 ± 1.06 |
9.3 ± 0.45 |
0.005 |
Phosphate (mg/dL) |
3.55 ± 0.9 |
3.57 ± 0.9 |
0.72 |
Alkaline phosphatase (UI/L) |
137.10 ± 37 |
128.37 ± 56 |
0.455 |
25(OH) vitamin D (ng/mL) |
17.6 ± 11.9 |
18.34 ± 9.69 |
0.378 |
LDLc (mg/dL) |
119 ± 40 |
124 ± 31 |
0.31 |
Prevalence of the MetS components |
|
|
|
Abdominal obesity (n, %) |
77 (58) |
56 (42.1) |
<0.001 |
Hyperglycemia (n, %) |
45 (81.8) |
10 (18.2) |
<0.001 |
Hypertriglyceridemia (n, %) |
49 (76.6) |
15 (23.4) |
<0.001 |
Low HDLc (n, %) |
68 (86.1) |
11(14) |
<0.001 |
High BP (n, %) |
43 (84.3) |
8 (15.7) |
<0.001 |
|
Pearson correlation |
|
|
Lumbar spine |
Total hip |
Age (y) |
-0.250* |
-0.248* |
Age of menopause (y) |
-0.125 |
-0.065 |
Height (cm) |
0.158* |
0.060 |
Weight (kg) |
0.189* |
0.221* |
BMI (kg/m2) |
0.121 |
0.212* |
Exercise |
-0.13 |
0.04 |
Multiple regression analyses were performed to examine the effect of each component of MetS on BMD in lumbar spine and total hip after adjusting for confounding variables (Table 5). In lumbar spine, waist circumference had a negative effect on BMD after adjusting for covariates, while triglycerides had a positive effect on BMD in the base, but this finding disappeared after adjusting for covariates. In total hip, only triglycerides had a positive effect on BMD. This effect remained unchanged after adjusting for all covariates.
Linear regression analyses between 25 (OH) vitamin D, total alkaline phosphatase, and the five single components of MetS were performed. No significant association was found between each of the five MetS components and the two biologic parameters.
|
Presence of MetS (n=81) |
Absence of MetS (n=89) |
p |
Lumbar spine |
|
|
|
Unadjusted |
0.915 ± 0.159 |
0.928 ± 0.160 |
0.61 |
Age adjusted |
0.916 ± 0.135 |
0.934 ± 0.150 |
0.44 |
Age + BMI |
0.911 ± 0.153 |
0.939 ± 0.160 |
0.24 |
All covariates |
0.912 ± 0.153 |
0.938 ± 0.150 |
0.29 |
Total hip |
|
|
|
Unadjusted |
0.865 ± 0.143 |
0.845 ± 0.143 |
0.29 |
Age adjusted |
0.867 ± 0.135 |
0.836 ± 0.141 |
0.42 |
Age + BMI |
0.860 ± 0.135 |
0.843 ± 0.141 |
0.41 |
All covariates |
0.861 ± 0.135 |
0.842 ± 0.141 |
0.40 |
|
β |
p |
Lumbar spine |
|
|
Age |
-0.006 |
0.001 |
BMI |
0.005 |
0.09 |
Exercise |
-0.067 |
0.005 |
Total hip |
|
|
Age |
-0.005 |
0.001 |
BMI |
0.007 |
0.007 |
Exercise |
-0.014 |
0.50 |
We performed a multiple regression analyses to examine the effect of each component of MetS on BMD in both sites after adjusting for confounding variables. When we considered each component of MetS as an independent variable, a higher waist circumference was most significantly associated with lower BMD at lumbar spine. This means that subjects with abdominal obesity are more likely to have lower BMD at lumbar spine. No difference related to abdominal obesity was found at total hip. The reason for the difference between the two sites is not definite, but as shown in the stepwise multiple regression analyses, it appears that the stronger positive correlation between BMI and BMD at the total hip (β=0.007; p=0.007) could have a greater effect on the association between waist circumference and BMD at the total hip. Indeed, general obesity and body weight are the strongest protectors against bone loss by exercising greater load on the lower limbs and trunk [32]. Other mechanisms related to obesity may also explain its protective effect such as higher 17β-estradiol [33-35] and insulin [36] levels, and some adipokines especially lower adiponectin and higher leptin [37-39]. Also, it seems that visceral obesity is influencing mainly trabecular bone [40]. The negative association between waist circumference and BMD has been reported in the literature which is in total accord with our findings [29, 41]. Visceral fat is not only specialized with regard to the storage and mobilization of lipids but also a remarkable endocrine organ that release proinflammatory cytokines stimulating bone resorption such as TNF alpha, interleukin 6, and Interleukin 18 [42-44]. Therefore, it is feasible that the resultant low-grade inflammation, which is known to be involved in the pathophysiologic mechanisms underlying osteoporosis [10], may lead to bone loss despite the protective effects of general obesity. In other studies, abdominal obesity was found to be a protective factor on BMD at the lumbar spine [5], the total hip [5, 27], and the femoral neck [5]. Currently, the mechanism of the effect of fat on bone is not clear. A number of mechanisms for the fat-bone relationship exist and include the effect of soft tissue mass on skeletal loading, the association of fat mass with the secretion of bone active hormones from the pancreatic beta cell (including insulin, amylin, and preptin), and the secretion of bone active hormones (e.g., estrogens and leptin) from the adipocyte. These factors alone probably do not fully explain the observed clinical associations, and study of the actions on bone of novel factors is an important area of further research.
In our study, triglycerides level correlated positively with total hip BMD. Similar data was reported in literature. Indeed, higher triglycerides level was associated with a less bone loss [6, 27, 45], and with a lower risk of vertebral and non-vertebral fractures [41, 46-48]. This relationship was significant when adjusted for BMD confounders. Thus its mechanism remains unclear. Experimental data suggest that apolar lipids, including TG, form a layer between collagen fibers and mineral crystals [49]. Triglycerides may mediate the interaction between protein matrix and bone mineral and contribute to the improvement of qualitative properties of bone [41].
|
Unadjusted |
Age adjusted |
Age + BMI |
All covariates |
||||
|
r |
p |
r |
p |
r |
p |
r |
p |
Lumbar spine |
|
|
|
|
|
|
|
|
Waist circumference |
-0.013 |
0.740 |
-0.043 |
0.137 |
-0.004 |
0.05 |
-0.005 |
0.003 |
Fasting glucose |
0.026 |
0.443 |
0.010 |
0.686 |
0.004 |
0.869 |
0.001 |
0.3 |
Triglycerides |
0.070 |
0.05 |
0.008 |
0.757 |
-0.001 |
0.978 |
0.001 |
0.16 |
HDL cholesterol |
-0.020 |
0.607 |
-0.023 |
0.340 |
-0.033 |
0.176 |
0.001 |
0.29 |
Systolic BP |
-0.003 |
0.921 |
0.013 |
0.245 |
0.011 |
0.316 |
0.009 |
0.43 |
Total hip |
|
|
|
|
|
|
|
|
Waist circumference |
-0.024 |
0.504 |
0.003 |
0.911 |
-0.029 |
0.300 |
-0.002 |
0.152 |
Fasting glucose |
0.027 |
0.377 |
0.024 |
0.295 |
0.014 |
0.536 |
0.001 |
0.70 |
Triglycerides |
0.089 |
0.007 |
0.057 |
0.01 |
0.046 |
0.042 |
0.001 |
0.05 |
HDL cholesterol |
0.017 |
0.629 |
0.005 |
0.815 |
-0.009 |
0.663 |
0.001 |
0.11 |
Systolic BP |
-0.008 |
0.757 |
0.011 |
0.292 |
0.008 |
0.447 |
0.008 |
0.45 |
Several potential limitations should be considered in the interpretation of our data. First, our recruitment was based on patients who underwent a clinical examination in our university hospital. These subjects may not be representative of the general population. Second, this was a cross sectional study, limiting our ability to determine the cause and effect of MetS and each of its components with the respect to BMD. We could assess only the temporal relationship. Further prospective studies should be performed to determine a causal relationship between these variables. Finally, prevalent fractures and the risk of fractures were not measured in our study. Although MetS do not affect BMD quantitatively, the bone quality could be deteriorated.
FA, FL, HA, JE, and SR have made substantial contributions to conception and design, acquisition and interpretation of data.
TH and ME supervised the study's design and planning, and revised the final manuscript.
SK and KR performed the statistical analysis.
All authors read and approved the final manuscript.
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