Showing 3 results for Bmi
M Mardani, Kh Kazemi, A Mohsenzadeh, F Ebrahimzade,
Volume 8, Issue 4 (3-2013)
Abstract
Background & Objectives: Macrosomia is a term applied to newborns with a birth weight more than of 4000 gr which cause different maternal and neonatal complications. Several risk factors has been known for macrosomia. The purpose of this cross-sectional study was to estimate the frequency and evaluate of risk factors of macrosomia in Asalian hospital of Khorramabad in 2010.
Methods: This study was undertaken in Khorramabad, Iran. The data collection instrument was a questionnaire containing 10 variables as the risk factors of macrosomia. The data were analyzed using the SPSS software.
Results: 59 cases of macrosomia were found in 500 living births, and the frequency of macrosomia was 11.8%. Also, 69.5% of the neonates were male and 30.5% were female. Maternal risk factors were mother's age at pregnancy, mother's obesity (BMI>=30), weight gain more than 18 kg during pregnancy, history of diabetes mellitus, history of macrosomia, prolonged gestational age, and multiparity (parity>=5). There was no significant relationship between mother's job and macrosomia.
Conclusion: The prevalence of macrosomia in Khorramabad was high (11.8%). Preventing pregnancy in mothers over 35 years of age by contraception ways, preventing maternal obesity before pregnancy, and control of blood glucose during pregnancy by suitable diet and insulin therapy are recommended to prevent macrosomia.
H Tireh, R Yousefi, Sb Mazloum Shahri , Mt Shakeri,
Volume 14, Issue 3 (12-2018)
Abstract
Background and Objectives: Hypertension is a major global issue due to its consequences. Ordinary regression models have limitations in assessment of hypertension since the reference graph derived from a specific population may not be appropriate for another population. The polynomial quantile regression model is considered as a possible alternative. Hence, this study was conducted with the aim of determining reference values as well as blood pressure percentile curves in Mashhad.
Methods: This cross-sectional study was carried out in a random sample of 6949 individuals attending Samen health centers for diabetes screening in 2010. Different percentiles were analyzed using some variables such as gender, age, BMI, WHR, and systolic and diastolic blood pressure. The R software (version 3.0.1) was used for data analysis.
Results: In this study, 70.58% and 29.42% of subjects were men and women, respectively. The results of the quantile regression model showed that with an increase in age, BMI, and WHR, blood pressure increased in all percentiles. In all variables, subjects in the 75th and 95th percentiles had moderately high and high blood pressure while they had a normal blood pressure in other percentiles.
Conclusion: The model provided more information about blood pressure and its related patterns. According to the results, it seems that more attention should be paid to elderly and overweight individuals in the 75th and 95th percentiles.
M Pourranjbar, H Jamalizadeh, M Mehrtash, K Divsalar,
Volume 15, Issue 2 (9-2019)
Abstract
Background and Objectives: Menopause is one of the most sensitive events in a woman's life. Health improvement in this period can bring women a better quality of life and has many effects. This study was conducted to investigate the relationship between the level of physical activity and the level of health of postmenopausal women in Kerman Province.
Methods: A total of 536 postmenopausal women were selected from Kerman province. The Goldberg’s General Health Questionnaire was used to measure the level of health and the general physical activity questionnaire (GPAQ) was applied to determine the amount of physical activity. The formula for measuring body mass index was used for BMI. Ultimately, the Spearman, Kruskal Wallis, and Bonferroni statistics were used because the data distribution was not normal.
Results: The amount of physical activity in postmenopausal women in Kerman Province was lower than the WHO recommended. There was a significant relationship between physical activity with the level of health (r = 259), (P≤0.001). Moreover, BMI and health level had an inverse relationship (-0.186) (P≤0.001).
Conclusion: Based on the results, a significant relationship was found between physical activity and general health status of postmenopausal women. Considering the effect of physical activity on health, it can be concluded that increased physical activity of postmenopausal women in Kerman Province can improve their health and BMI.
