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Showing 4 results for Body Mass Index
Relationship between Body Mass Index and Bone Mineral Density in 45-55 Aged Women Referred to Imam Khomeini Hospital from 2000 to 2004
A Khalvat, R Najafizadeh, S Dehghan-Dehnovi,
Volume 12, Issue 3 (10-2004)
Abstract
Introduction: Fat body mass and body mass index (BMI) are important determinants of bone mineral density (BMD). Although the mechanism involved in this relation is uncertain, it seems that aromatization of androgens to esteradiol in adipose tissue is the most important explanatory mechanism. Materials & Methods: The purpose of this study is to evaluate the correlation between BMI and BMD among 63 women aged 45 to 55 36(57.1%) postmenopausal and 27(42.9%) premenopausal referred to Imam Khomeini hospital. We measured BMD at the lumbar spine (L1-L4), hip (femoral neck, trochanter, and intertrochanter), and Ward's triangle by dual energy X-ray absorptiometry (DEXA). Additionally, body composition was measured in this group. Results: Using WHO BMD T-score criteria, 28.8% of these women had osteoporosis in the lumbar spine and/or the femoral neck. As expected, relative positive linear correlations were found between BMI and BMD at L1-L4 (r=0.315 p = 0.026) and femoral neck (r=0.297 p=0.036), but these correlations were not significant in premenstrual women. Between the age, postmenopausal duration and BMI in relation with BMD, using multiple regression analyses, only BMI remained significant predictor for BMD. The correlation between BMI and BMD was improved after adjustment for age and postmenopausal period (R=0.402, p=0.034 for L1-L4 R=0.376, p=0.049 for femoral neck). Conclusion: The present results, confirming the results of other studies, have revealed a significant correlation between BMD and BMI in perimenopausal women. Our findings suggest that maintenance of adequate body mass (prevention for leanness) is important for prevention of postmenopausal bone loss.
Relationship between Molar Incisor Hypomineralization with Body Mass Index and Dental Caries Index in 7-11 Year Old Children in Yazd City
Z Bahrololoomi, N Mostafalu, A Shakib,
Volume 25, Issue 1 (4-2017)
Abstract

Introduction: Molar Incisor Hypomineralization (MIH) is a kind of developmental enamel defect with multifactorial etiology that causes different dental complication. So, many studies  have been done on this subject. The aim of this study was the evaluation of relationship between Molar Incisor Hypomineralization (MIH) with body mass index (BMI) and dental caries index (DMFT) in 7-11 year old children in Yazd City.

Methods: In this descriptive analytic study, 645 children between 7 to 11 years old in Yazd City were selected via randomized cluster sampling and were examined in the schools. EAPD and mDDE criteria were used for detection of MIH and the extension in teeth. Body mass index and permanent dental caries were evaluated based on the World Health Organization (WHO) criteria. 40 children were examined for BMI and dental caries as an unaffected group. The mean value was analyzed with Mann Whitney test and the result was significant (P<0.05).

Results: Out of 645 children, 154 were affected by MIH, 16 children (10.38%) were underweight, 13 children (8.44%) were overweight, 3 children (1.94%) were obese and 122 children (79.22%) had normal weight. BMI in the affected group and control group were 16.01 and 15.76, respectively. The difference of BMI between MIH group and control was not statistically significant (P=0.81). DMFT in children with MIH was 2.09 and in the control group was 1.1, respectively that means in affected group  there was a statistical difference than the control group (P=0.001).

Conclusions: Children who suffering from MIH often have normal BMI and they have more decay in their permanent teeth.


Relationship between Physical Activity and Blood Lipid Profile in Residents of Yazd City (YaHS Study)
Masoud Mirzaei, Farnaz Nekahi,
Volume 28, Issue 7 (10-2020)
Abstract
Introduction: Inadequate physical activity is one of the causes of fat disorders and regular physical activity is one of the important factors in correcting fat disorders. The aim of this study was to determine the relationship between physical activity levels and blood lipids as a risk factor for cardiovascular disease.
Methods: This analytical cross sectional study was conducted using the information of the registration phase of the Yazd People's Health Study on 9962 residents of Yazd in the age group of 20 to 70 years between 2014 and 2015. Study data were obtained using standard questionnaires and participants' blood samples. SPSS software, version 21, t-test, linear regression, and OR comparison of fat disorders were used in the physical activity intensity classes.
Results: In the study sample, 49.4% are men. No statistical significant physical activity level was found in the study of the ratio of chance of fat disorder. Moreover, no significant relationship was observed in the study of the linear relationship between the general level of physical activity and fat profile components (p> 0.05). It should be noted that a significant statistical relationship was observed between the level of TC or blood total cholesterol and blood triglycerides with sex, body mass index and family history and some age groups. (p <0.05).
Conclusion: In the analysis of the data of this study, no significant statistical relationship was found between blood lipid levels and physical activity.

Comparison of Serum Levels of Adiponectin and Cortisol between Overweight/Obese and Normal Weight Men
Masoumeh Nezhadali,
Volume 30, Issue 8 (11-2022)
Abstract

Introduction: Obesity, results in a number of serious complications, such as type 2 diabetes, non-alcoholic fatty liver disease and metabolic syndrome. The levels of blood of adiponectin and cortisol have been associated with obesity. This study aimed to investigate the relationship of adiponectin and cortisol levels with obesity and biochemical parameters.
Methods: This case-control study was conducted only on men, 80 participants with body mass index (BMI)≥25 considered as case group, and 100 participants with BMI<25 as control group in the Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences. Plasma levels of adiponectin and cortisol were measured through ELISA kit and other variables were determined by standard methods. Data were analyzed using SPSS software version 16. P-values <0.05 were considered as significant.
Results: Our findings showed no significant difference in cortisol level between individuals with BMI≥25 and individuals with BMI<25. Obese men had significantly higher levels of triglycerides, systolic and diastolic blood pressure and lipid profiles whereas, adiponectin and high-density lipoprotein-cholesterol (HDL-C) levels were lower compared to the control group (p-value<0.05). In this study, an inverse correlation was observed between adiponectin and fasting blood glucose (FBS), and also BMI. It was found a positive correlation between cortisol and cholesterol and also FBS.
Conclusion: The results show that there is no relationship between cortisol and obesity, but a negative correlation between adiponectin levels and obesity.
 

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