Showing 5 results for Body Mass Index
Dr Babak Eshrati, Dr Korush Houlakooei, Dr Mohammad Kamli, Dr Jafar Hassan-Zadeh, Dr Merdad Borhani, Dr Farshad Poor-Malek, Ms Fahimeh Kashfi,
Volume 9, Issue 2 (6-2006)
Abstract
Introduction: The reason of infertility can have a direct influence on the plan and outcome of management. In this paper we intend to show the effect of tuberculosis (TB) history on female infertility among infertile couples attending to Rooyan infertility management center. Materials and methods: In this case-control study our cases were those who were diagnosed as infertile female and controls were those women whose husbands were infertile due to some male factor. We used logestic regression for analyzing the association of history of Tuberculosis and female infertility with attributable risk estimation. Results: 308 cases were compared to 314 controls. Considering the odds ratio and its 95% confidence interval, there was a significant difference between the history of TB and infertility (OR=4.7, 95% CI: 1.01-29.91). The attributable risk of TB for female infertility was 0.023±0.01 (which is significant at 5% level). Conclusion: These figures show that at least 2% of female infertility can be prevented by prevention and proper treatment of tuberculosis.
Saeid Sadrnia, Ali Chehrei,
Volume 11, Issue 1 (3-2008)
Abstract
Introduction: Left ventriculor hypertrephy (LVH) is one of the complicotions of systemic hypertension. LVH increases probabiltis of cardiac arrhytmia and cardiovasculer event in hypertensive patiants. In addition to hypertension other factors such as dyslipidemia, hyperglicemia and renal failure can cause LVH. This study was designed to investigate the effects of Body Mass Index (BMI) and some laboratory factors on LVH. Materials and Methods: This is a case-control study in which patients in case group (hypertensive patients with LVH) and patients in control group (hypertensive patients without LVH) were compared for BMI, dyslipidemia, hyperglycemia, and elevated Blood Urea Nitrogen (BUN) and Creatinin. Data was analyzed using Chi square test and logistic regression. Results: BMI with, high blood glucose with, high BUN and Creatinin signiticant affect in LVH presentation in hypertensive patiants. Dyslipidemia had not signiticant affect. Conclusion: In this study BMI, hyperglicemia, high BUN and Creatinin affected LVH presention in hypertensive patiant. So it is recommended that these factors be carfuly monitored and and treated.
Atefeh Biabangard Zak, Masoud Golalipour, Gholamreza Hadadchi, Alireza Abbaspour,
Volume 17, Issue 11 (2-2015)
Abstract
Background: Due to the changing lifestyle in terms of nutrition and physical activity, obesity has become one of the major challenges to human health. The study of metabolic factors involved in this phenomenon plays an important role in preventing and treating the obesity. The aim of this study was to investigate the relationship between testosterone level and serum lipoproteins such as LDL and HDL with Body Mass Index (BMI), in different age groups of men in Golestan population.
Materials and Methods: In this case-control study, 183 men were randomly selected during 2012. Anthropometric measures (weight and height) were obtained according to standard methods, and BMI was calculated for each one. Data was analyzed using SPSS version 16. Pearson bivariate correlation test between groups and one-way Anova test was performed and p<0.05 being considered as significant.
Results: Data analysis showed a significant inverse correlation between BMI and serum testosterone level (p=0.005). In the study population, higher BMI was associated with increased LDL level (p=0.049) and also increasing age (p=0.011). In addition, an inverse relationship was observed between BMI and HDL levels that were not statistically significant (p=0.068).
Conclusion: The results of this study indicate that weight gain is associated with increased LDL and low testosterone serum level, and this relation is more meaningful in old men.
Alireza Shahab Jahanlou, Kamyar Kouzekanani,
Volume 18, Issue 4 (7-2015)
Abstract
Background: Body Mass Index (BMI) is commonly used to determine overweightness and obesity in epidemiological studies regardless of the sex and age of the subjects. Golden Standards were presented by the World Health Organization to estimate obesity by measuring body fat percentiles. The primary purpose of this study was to estimate the accuracy of the BMI by Cut-points of gold standard.
Materials and Methods: This is a cross-sectional and descriptive study. Measuring body composition was done by Bioelectrical Impedance Analysis (BIA) method. Accuracy of the BIA method is documented in comparison with more complicated methods Diagnosis performance to estimate the accuracy of Body Mass Index was based on measuring specificity, sensitivity, percentile of the power of positive anticipation, and percentile of the power of negative anticipation to diagnose obesity, with due attention to the cut-points of world health organization gold standards and according to sex and age ranking. Data analysis was performed by T-test, Chi-Square and Roc curve. Two Roc curves were compared by Honely formule and regression analysis.
Results: According to the cut-point of gold standard, statistical findings showed that the amounts of sensitivity and specifity were 66% and 90.5% for all persons, respectively. With due attention to data analysis, the level of sensitivity was 50.2% to 73.3% in males and 28.9% to 69.7% in females. Also, with respect to age ranking, percentile of the power of negatire anticipation was reported between 26.7% to 63.6% in males and between 28.9% to 69.7% in females.
Conclusion: Body Mass Index could not accurately classify people in obesity and overweightness groups. The power of BMI for classifying obese and overweight people decreases with increasing age. Overall, comparing BMI and the cut-points of gold standard showed the medium effect of this index in classifying obese and overweight persons. The appropriate cut-point to diagnose obesity was 27.8.
Abbas Saremi, Dr Rahmatollah Moradzadeh, Alireza Bahrami,
Volume 24, Issue 6 (1-2022)
Abstract
Background and Aim Physical activity has multiple health benefits, but its association with fertility in women is still unknown. Considering the critical effects of lifestyle on reproductive health, this study aims to compare the physical activity and body composition of fertile and infertile women.
Methods & Materials This is a case-control study that was performed on 100 fertile and 100 infertile women aged 20-40 years referred to the infertility treatment centers in Arak, Iran. they completed self-reported questionnaires surveying sociodemographic characteristics and lifestyle, and the International Physical Activity Questionnaire (IPAQ) assessing physical activity and sedentary behavior. Anthropometric characteristics and body composition were also measured. Multiple logistic regression analysis was used to analyze the association of fertility with physical activity level, sedentary behavior, and body composition.
Ethical Considerations This study was approved by the Ethics Committee of the University of Arak University of Medical Sciences (Code: IR.ARAKMU.REC.1400.050).
Results The level of physical activity (P=0.001) was lower and the body mass index (P=0.03) was higher in infertile women than in fertile women. In women with moderate level of physical activity, the risk of infertility was lower (OR=4.42, 95% CI: 1.60-12.99, P=0.004). Women who spent the time sitting for more than 300 minutes a day were 2.07 times more likely to have fertility than women who were physically active (OR=2.07, 95% CI: 1.36-3.14, P=0.001).
Conclusion Low physical activity, sedentary lifestyle and obesity are independent risk factors of infertility. To prevent infertility, more attention should be paid to the lifestyle of women.
