Relationship of body mass index with bone mineral density in postmenopausal women: an Indian perspective

Background: Osteoporosis is a common health problem that affects postmenopausal females, leading to increased susceptibility to fractures. Body mass index (BMI) has been shown to be an important predictor of bone mineral density (BMD) with increased body weight correlating with positive influence on bone metabolism. Low BMI predisposes postmenopausal females to rapid bone loss and low bone mass, crucial in the pathogenesis of osteoporosis. However, a specific BMI value chart to accurately predict osteoporosis remains to be fully established. The present study aimed to investigate the relationship of BMI and BMD in postmenopausal Indian females.Methods: 90 healthy postmenopausal females with 1-5 years of menopause were enrolled in the study. Subjects were categorized according to their BMI into normal, overweight and obese. BMD was assessed using dual energy X-ray absorptiometry (DEXA) scan at L1-L4 vertebrae and femoral neck and expressed as T-scores. Quantitative variables were compared using ANOVA/Kruskal Wallis Test.Results: Bone mineral density was significantly higher in the obese group as compared to normal BMI group at both lumbar spine (p=0.001) and femoral neck (p=0.001). BMD at lumbar spine was lower than that at femoral neck across all the three groups of BMI.Conclusions: BMI and body weight are important factors affecting BMD. Postmenopausal females with low BMI are more likely to have osteopenia and osteoporosis and are thus at an increased risk of pathological fractures. Routine BMD monitoring in postmenopausal females with low BMI may be necessary to initiate early clinical interventions for osteoporosis.

Download Full-text

Relationship between Body Mass Index and T-Scores of Bone Mineral Density in the Hip and Spine Regions among Older Adults with Diabetes: A Retrospective Review

Journal of Obesity ◽

10.1155/2019/9827403 ◽

2019 ◽

Vol 2019 ◽

pp. 1-6 ◽

Cited By ~ 5

Author(s):

Abdulaziz F. Hariri ◽

Mohammad N. Almatrafi ◽

Aws B. Zamka ◽

Abdullah S. Babaker ◽

Tariq M. Fallatah ◽

...

Keyword(s):

Bone Mineral Density ◽

Body Mass Index ◽

Femoral Neck ◽

Body Mass ◽

Bone Mineral ◽

University Hospital ◽

Lumbar Region ◽

Mineral Density ◽

Patients With Diabetes ◽

Low Bmi

Diabetes mellitus (DM) cases are increasing worldwide, especially in Saudi Arabia. Previous studies suggested a positive relationship between body mass index (BMI) and bone mineral density (BMD) levels. Generally, patients with low BMI (<18.5 kg/m2) have reduced BMD levels and, thus, low T-scores; hence, they are categorized as osteopenic or osteoporotic. In this study, we aimed to determine whether a relationship between BMI and BMD T-scores in the hip and spine regions of patients with diabetes exists. This retrospective record review investigated older adult patients with diabetes in King Abdulaziz University Hospital (n=198; age 50–90 years) who underwent BMD scan between January 1, 2016, and June 25, 2018, regardless of their sex but limited to type 2 DM. The height and weight of all subjects were recorded, and BMI was calculated and categorized. We used SPSS version 21 for data analysis; measures of central tendencies, Pearson’s correlations, chi-square tests, and independent t-tests were employed. We found positive relationships between BMI and BMD T-scores in the hip and spine regions (right femoral neck: R=+0.214, P≤0.002; total right hip: R=+0.912, P≤0.001; left femoral neck: R=+0.939, P≤0.001; total left hip: R=+0.885, P≤0.001; and total lumbar region: R=+0.607, P≤0.001). Low BMI (<18.5 kg/m2) could be a risk factor for osteoporosis, whereas normal/high BMI could be protective against osteoporosis among adults with diabetes.

Download Full-text

Relationship of serum leptin with age, body weight, body mass index, and bone mineral density in healthy mainland Chinese women

Clinica Chimica Acta ◽

10.1016/j.cccn.2004.09.003 ◽

2005 ◽

Vol 351 (1-2) ◽

pp. 161-168 ◽

Cited By ~ 29

Author(s):

Ni Zhong ◽

Xian-Ping Wu ◽

Zhang-Rong Xu ◽

Ai-Hong Wang ◽

Xiang-Hang Luo ◽

...

Keyword(s):

Bone Mineral Density ◽

Body Mass Index ◽

Body Weight ◽

Body Mass ◽

Bone Mineral ◽

Chinese Women ◽

Mineral Density ◽

Serum Leptin ◽

Mainland Chinese ◽

Relationship Of

Download Full-text

Metacarpal Bone Mineral Density, Body Mass Index and Lifestyle among Postmenopausal Japanese Women: Relationship of Body Mass Index, Physical Activity, Calcium Intake, Alcohol and Smoking to Bone Mineral Density: The Hizen-Oshima Study.

The Tohoku Journal of Experimental Medicine ◽

10.1620/tjem.196.123 ◽

2002 ◽

Vol 196 (3) ◽

pp. 123-129 ◽

Cited By ~ 15

Author(s):

YUICHIROU YAHATA ◽

KIYOSHI AOYAGI ◽

KUNIHIKO OKANO ◽

ITSURO YOSHIMI ◽

YOSUKE KUSANO ◽

...

Keyword(s):

Physical Activity ◽

Bone Mineral Density ◽

Body Mass Index ◽

Body Mass ◽

Bone Mineral ◽

Calcium Intake ◽

Japanese Women ◽

Metacarpal Bone ◽

Mineral Density ◽

Relationship Of

Download Full-text

Body Mass Index can be a Good Predictor of Bone Mineral Density in Postmenopausal Women in India

International Journal of Public Health Science (IJPHS) ◽

10.11591/.v3i4.4703 ◽

2014 ◽

Vol 3 (4) ◽

pp. 276

Author(s):

Biplob Chowdhury ◽

Brajanath Kundu

Keyword(s):

Bone Mineral Density ◽

Body Mass Index ◽

Body Weight ◽

Postmenopausal Women ◽

Body Mass ◽

Bone Mineral ◽

Assessment Tool ◽

Negative Impact ◽

Mineral Density ◽

Women In India

Risk factors for the prediction of osteoporosis are an important and cost effective method since osteoporosis is a silent disease. The purpose of the study was to evaluate the associations between weight, body mass index (BMI), the Osteoporosis Self-Assessment Tool (OST), and bone mineral density (BMD) in postmenopausal women in India. In this cross sectional study, 90 postmenopausal women aged 45–85 years who had given consent participated and the study was conducted between April, 2012 and May, 2013. BMD was measured by ultrasound bone densitometry at calcaneal site. Linear regression multivariate models were used to examine the associations with weight, BMI, OST, and BMD. Body weight, BMI, and OST had almost similar overall performance in their ability to classify women with BMD T-score ≤−2.5. Regression results showed that the linear combination of three independent variables BMI, OST and body weight. BMI predicted 65.7% of the variance in BMD, R2 = .657, R2 adjusted = .609, (F=21.295, p<.000). The strongest predictor of low BMD was BMI. BMI showed significant association with BMD with a correlation of .846. Low weight and BMI predict osteoporosis and are associated with increased risks in postmenopausal women. The negative impact of low body weight on bone health should be more widely recognized.

Download Full-text