ASSOCIATION BETWEEN BODY MASS INDEX AND DENSITY BONE MINERAL - A CROSS-SECTIONAL STUDY (Atena Editora) (original) (raw)
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International Journal of Clinical Practice, 2010
Background: Obese individuals often present comorbidities while they appear protected against the development of osteoporosis. However, few and contradictory data are now available on skeletal modifications in obese patients. The aim of this study was to characterise bone mineral density (BMD) in overweight (BMI > 25 < 29.9) and obese (BMI > 30) patients.Methods: We selected 398 patients (291 women, 107 men, age 44.1 + 14.2 years, BMI 35.8 + 5.9 kg/m2) who underwent clinical examination, blood tests and examination of body composition. Subjects with chronic conditions or taking medications interfering with bone metabolism, hormonal and nutritional status and recent weight loss were excluded.Results: Interestingly, 37% (n = 146) of this population showed a significantly lower than expected lumbar BMD: 33% (n = 98) of women showed a T-score −1.84 ± 0.71, and 45% (n = 48) of men showed a T-score −1.88 ± 0.64. When the population was divided into subgroups based on different BMI, it was noted that overweight (BMI > 25 < 29.9) was neutral or protective for BMD, whereas obesity (BMI > 30) was associated with a low bone mass, compatible with a diagnosis of osteoporosis. No differences were observed in hormones and lipid profiles among subgroups.Conclusions: Our results indicate that a subpopulation of obese patients has a significant low lumbar BMD than expected for age. Thus, a careful characterisation of skeletal metabolism might be useful in all obese individuals to avoid fragility fractures later in life.
Relationship between body mass index and osteoporosis
Medicinski pregled, 2016
Introduction. Osteoporosis is a metabolic skeletal disease characterized by bone mineral density reduction, which may lead to an increased risk of bone fractures. Obesity is a condition of excessive body fat that causes or aggravates many public health problems. As it is easy to be measured, body mass index is widely used as an index of the degree of obesity. Material and Methods. The study included 1.372 female orthopedic patients between the ages of 30 to 79 years who visited the Clinical Centre of Vojvodina in Novi Sad to have a dual-energy x-ray absorptiometry (DEXA) examination in the period from March, 2010 to June, 2013. The following anthropometric data were collected: body mass index, body weight, height, dual-energy x-ray absorptiometry T-score and bone mineral density (BMD), as well as some other data. Results. The mean age was 62.08 years, the mean weight was 73.59 kg and the mean height was 1.6 m. There were 392 participants in the group of normal body mass index, 14 pa...
BMC Musculoskeletal Disorders, 2019
Background: This study aimed to evaluate the association of body composition components and obesity with bone density. Methods: Prospective study with data on 2968 members of the 1993 Pelotas Birth Cohort from follow-ups at 18 and 22 years of age. Areal bone mineral density (aBMD, g/cm 2) was evaluated for whole body, lumbar spine, and femoral neck at 22 years using dual-energy X-ray absorptiometry. Simple and multiple linear regression, stratified by sex, were used to assess the effect of BMI, fat mass (FMI) and lean mass index (LMI), evaluated at 18 and 22 years, and obesity trajectories classified by FMI and categorized as "never", "only at 18 years", "only at 22 years" or "always" on aBMD. Results: Among men, the largest coefficients were observed for BMI, followed by lean mass and fat mass. Compared to fat mass, lean mass presented the largest coefficients for all sites, with the strongest associations observed for the femoral neck (β: 0.035 g/cm 2 ; 95% CI: 0.031; 0.039 for both follow-ups), while the largest effect for FMI was observed for whole-body aBMD at 18 years (β: 0.019 g/cm 2 ; 95% CI: 0.014; 0.024). Among women, the strongest associations were observed for LMI. The largest coefficients for LMI and FMI were observed for femoral neck at age 18, presented β: 0.030 g/cm 2 , 95% CI: 0.026, 0.034 for LMI and β: 0.012 g/cm 2 ; 95% CI: 0.009; 0.015) for FMI. Men who were "always obese" according to FMI had smallest aBMD for spine (β:-0.014; 95%CI: − 0.029; − 0.001). Women who were obese "only at 18 years" had smallest aBMD for the whole-body (β:-0.013; 95%CI: − 0.023; − 0.002), whereas those who were obese "only at 22 years" had larger whole-body and femoral neck aBMD (β: 0.013; 95%CI: 0.009; 0.017 and β: 0.027; 95%CI: 0.016; 0.038, respectively) and those "always obese" for whole-body aBMD (β: 0.005; 95%CI: 0.001; 0.011) compared to the reference category. Conclusions: The indexes were positively associated with aBMD in this sample. Fat mass had smaller positive influence on these outcomes than lean mass, suggesting the most important body composition component for bone density is the lean mass.
Acta Scientific Women's Health, 2020
Background: Osteoporosis is a silent thief of bone which is characterized by decreased bone mass density and gradual decline in bone tissue which increases the susceptibility to bone fracture. The objective of the study is to assess the bone mass density and body mass index and to find out the relationship between them. Materials and Methods: A quantitative approach with descriptive survey design was used to find out the relationship between BMD and BMI and association of BMD with selected variables. A total of 100 people from general public were selected using convenient sampling. Structured questionnaire was used to collect the information about associated risk factors and BMI was calculated after measuring weight and height of the samples. Ankle Bone mass density was measured using ultrasound bone densitometer.
Journal of Pharmaceutical Negative Results, 2022
Background: Previous findings have shown that the body mass index (BMI) is related positively to bone mineral density (BMD). In patients with low BMI (<18.5 kg/m2), the levels of BMD have usually been decreased and the T-values have been low. The goal of the study is to assess weight-BMI-BMD relationships among743 healthy people from the Karachi Gulshan district. Methodology: The research comprised a population of 743 people classified into four BMI classes. The BMD measurement in all the study participants was done by using a Sonost 3000 (Ultrasound Bone Densiometer) from Osteosys CO. Ltd. Korea. Results: The findings of BMI and BMD correlation indicated that osteopenia was occur more in underweight individuals than the overweight and obese, while osteoporosis occurred more in those who were obese in the comparison under & overweight individuals. Conclusion: The study of the associations between BMI and BMD in both male and female participants revealed a strong positive association showed by Pearson's correlation analysis.
Effect of Body Mass Index on Bone Mineral Density: A Retrospective Review
https://www.ijhsr.org/IJHSR\_Vol.13\_Issue.5\_May2023/IJHSR-Abstract02.html, 2023
Background: There have been studies investigating the relationship between body mass index (BMI) and bone mineral density (BMD) with findings focused on association between the two variables. The aim of this study was to further investigate the prevalence of osteoporosis and ascertain how BMD varies by gender and age in an average adult Nigerian. Methodology: A total of 68 participants were examined. The participants underwent standard BMD scans of the femur and lumbar using a Dual-Energy X-ray Absorptiometry (DXA). BMI was measured as weight in kilograms by height in meters square Results: The findings of this study revealed that the prevalence of osteoporosis was 10.3%. There was association between DEXA values and BMI. There was significant difference between age, gender and BMD. BMD scores for femur and lumbar were higher in subjects younger than 45 years compared to subjects in their middle age and elderly. Males have significantly higher BMD values Conclusions: The results suggest lower BMI is an indication for low BMD. BMD can be used for screening test for osteoporosis. Female gender is more prone to osteoporosis. Age is a factor to consider as middle aged and elderly subjects more at risk of osteoporosis.
Causal inference of the effect of adiposity on bone mineral density in adults
Clinical Endocrinology, 2013
Objective The causal effect of adipose tissue on bone mass and the direction of its net influence have not been directly assessed in adult humans. Using the Mendelian randomization analysis, we assessed the causality of adiposity in measurements of bone mass in adult males and females. Design and Methods Subjects consisted of 2154 adults aged 25-54 years from a cross-sectional cohort of the employees of the Electricity Generating Authority of Thailand. Body composition was determined after at least 3 h of fasting using multifrequency bioelectrical impedance analysis. Bone mineral density (BMD) was assessed by dual energy X-ray absorptiometry. A polymorphism in the fat mass and obesity-associated gene (FTO rs9939609) was used as an instrument in the Mendelian randomization analysis. Results The genotype distribution of the FTO rs9939609 polymorphism was 61Á1% TT, 33Á9% AT and 5Á0% AA. The average body mass index (BMI), body fat mass and percentage body fat were 23Á9 kg/m 2 (SD = 3Á6), 17Á9 kg (SD = 6Á6) and 26Á8% (SD = 7Á2), respectively. The FTO rs9939609 polymorphism was significantly correlated with BMI (coefficient = 0Á673 kg/m 2 , P < 0Á001), body fat mass (coefficient = 0Á948 kg, P < 0Á001) and percentage body fat (coefficient = 0Á759%, P < 0Á01). An instrumental variable (IV) regression model, using BMI as the intermediate phenotype, suggested that FTO was a strong IV. Also, the FTO-BMI polymorphism was significantly associated with total hip and femoral neck BMD but was not correlated with total spine BMD, with estimated correlation coefficients of 0Á0189 (95% CI: 0Á0046, 0Á0332), 0Á0149 (95% CI: 0Á0030, 0Á0268) and 0Á0025 (95% CI: À0Á0131, 0Á0136) g/cm 2 , respectively. The variances of BMDs explained by the FTO-BMI were 19Á0%, 21Á3% and 1Á1%, respectively. Similar trends were also observed for the FTO-body fat mass and FTO-percentage body fat correlations. Conclusions Mendelian randomization analysis suggests that adiposity might be causally related to BMD at the femur but not at the spine.
Association between Obesity and Bone Mineral Density by Gender and Menopausal Status
Endocrinology and Metabolism, 2016
Background: We investigated whether there were gender differences in the effect of obesity on bone mineral density (BMD) based on menopausal status. Methods: We assessed 5,892 consecutive patients 20 to 91 years old who were referred for dual-energy X-ray absorptiometry (DXA) scans. All subjects underwent a standard BMD scan of the hip (total hip and femoral neck) and lumbar spine (L1 to L4) using a DXA scan and body size assessment. Body mass index was used to categorize the subjects as normal weight, overweight, and obese. Results: BMD was higher in obese and overweight versus normal weight men, premenopausal women, and postmenopausal women. Compared to men ≥50 years and postmenopausal women with normal weight, the age-adjusted odds ratio of osteopenia was 0.19 (95% confidence interval [CI], 0.07 to 0.56) and 0.38 (95% CI, 0.29 to 0.51) for obese men ≥50 years and postmenopausal women. Corresponding summaries for osteoporosis were 0.26 (95% CI, 0.11 to 0.64) and 0.15 (95% CI, 0.11 to 0.20), respectively. Compared to men <50 years and premenopausal women with normal weight, the age-adjusted odds ratio of low bone mass was 0.22 (95% CI, 0.11 to 0.45) and 0.16 (95% CI, 0.10 to 0.26) for obese men <50 years and premenopausal women, respectively. Conclusion: Obesity is associated with BMD of the hip and lumbar spine and overweight and obese individuals have similar degrees of osteoporosis. This result was not significantly different based on gender and menopausal status, which could be an important issue for further investigation.
The correlation of bone mineral density, body mass index and age
2021
Osteoporosis is related to the decrease in bone mineral density. To diagnose osteoporosis and to assess its severity BMD measurement is a widely used method by using dual-energy X-ray absorptiometry (DEXA). BMD is an essential component of the assessment of bone quality and is utilized to assess the osteoporotic status of the bone for the prevention of osteoporotic fractures. The objective of this study was assessed to analyze the correlation between BMD with BMI and age. The study was conducted on 154 patients who performed the BMD test between the periods of January 2018 to July 2019. BMD of the lumbar spine (LS) and right femoral neck (FN) were measured using the DEXA method. In statistical analysis, the BMD status was compared according to age, gender, and BMI. Correlation among BMD, BMI, and age was analyzed with the nonparametric method (spearman rank correlation). SPSS software version 25 was used for analysis. Age showed highly significant negative correlations with all skeletal sites examined. Assessments on the T-score of FN and BMI were significantly related (p<0.05, r=0.223, positive relation). T-score of LS and BMI were positively correlated (r=0.484) and it was significant at a 95% level of significance. Both FN and LS T-score and showed a negative correlation, but it was significant. BMI and age were not significantly associated (p>0.05, r=-0.080, negative relation). As expected, the FN T-score and LS T-score showed a high correlation (r=0.484) between each other, and they were positive. Significant correlations were observed among BMD, BMI, and age of the patients. To identify the cause of osteoporosis, BMI and patients age can be considered as risk factors during BMD study. Our hope is that future research will reveal osteoporosis prevention targets effective for the growing population of aging men and women.
Does the Severity of Obesity Influence Bone Mineral Density Values in Premenopausal Women?
Journal of Clinical Densitometry, 2019
The aim of this study was to compare bone mineral content (BMC), bone mineral density (BMD), and geometric indices of hip bone strength among 3 groups of adult obese premenopausal women (severely obese, morbidly obese, and super morbidly obese). This study included 65 young adult premenopausal women whose body mass index (BMI) > 35 kg/m 2. They were divided into 3 groups using international cutoffs for BMI. Body composition and bone variables were measured by DXA. DXA measurements were completed for the whole body (WB), lumbar spine, total hip (TH), and femoral neck (FN). Geometric indices of FN strength (cross-sectional area, cross-sectional moment of inertia [CSMI], section modulus [Z], strength index [SI], and buckling ratio) were calculated by DXA. Results showed that age and height were not significantly different among the 3 groups. WB BMC values were higher in super morbidly obese women compared to severely and morbidly obese women. WB BMD, L1-L4 BMD, total hip BMD, FN BMD, cross-sectional area, CSMI, Z, and buckling ratio values were not significantly different among the 3 groups. SI values were lower in super morbidly obese compared to morbidly and severely obese women. In the whole population (n = 65), body weight, BMI, lean mass, fat mass, and trunk fat mass were positively correlated to WB BMC and negatively correlated to SI. Weight and lean mass were positively correlated to WB BMD and CSMI. Our findings suggest that the severity of obesity does not influence BMD values in premenopausal women.