Background & Objectives: 11% of all newborns in the developing countries suffer from low birth weight (LBW). Birth weight has an important role in individual health, family and society. Lower and higher birth weight from standard rate lead to morbidity and mortality. The purpose of this study was to determine associations between some of maternal anthropometric measurements such as BMI, pre-gravida weight, height, age with birth weight.

 Methods: This is an analytical-descriptive study, in which there were 300 pregnant women who hard referred to Alavi Hospital, Ardebil for delivery. Maternal pre-gravida height, weight and birth weight were collected from their units. Body mass index (BMI) was calculated by dividing the maternal pre-gravida weight in kg by height in m squared (kg/m²). The relationship between maternal anthropometric measurements and birth weight was analyzed by t-test.

 Results: Our study showed that 32 (10.7%) women had BMI<19.8, 185 (61.7%) BMI=19.8-26 and 83 (27.7%) BMI>26. 36.3% of women were under 55 kg, 48.3% between 55 to 70 kg and 15.3% over 70 kg. The relationship between maternal pre-gravida BMI, weight and birth weight was statistically significant (p=0.001). There was no significant difference between maternal age and neonatal birth weight.

 Conclusion: Pre-gravida body mass index (BMI) and weight could be two important anthropometric measurements associated with birth weight. Thus, it is recommended that women give adequate preconceptional and prenatal care to decrease the amount of LBW and HBW in population.

 Background & Objectives: Measurement of body Weight and height and determining of body mass index (BMI) according to age is one of the most important international indicators for evaluation of growth and physical health. The present study aimed to evaluate growth indices for schoolgirls 7-19 years of age living in Ardabil to compare with standard reference values and similar studies in Iran .

 Methods: To assess the status of growth pattern of 7-19 year girls in Ardebil during 2005, with a descriptive cross-sectional study, 3996 healthy girls were selected by the multi stage sampling method and their age, body weight, height and body mass index were recorded, then 5,10,25,50,75,90,95 percentile, mean and standard deviation in different age were analyzed and compared with NCHS and selected regions of Iran

 Results: The mean of Height and weight in urban girls is higher than their peers in rural regions. Height growth was more during the ages of 9-12 with its peakin 9 years olds with 6 cm annually. The highest increase in weight was at age13 which was estimated 5.5 kg annually. Mean of height and weight in girls of Ardabil is less than their peers in Tehran, Kerman, Esfahan but more than their peers in Zahedan. Of the height, weight and body mass index percentiles in girls of Ardabil aged 7-19 years were less than their American peers according to National Center for Health Statistics data.

 Conclusion: All of percentiles anthropometric factors in girls Ardabil aged 7-19 years were less than NCHS standard.

  Background & Objective: Today obesity and depression are two important diseases which are growing all over the world and threat the human health. That how much these two affect each other is a major health question. This study aimed to investigate the relationship between body mass index (BMI) and depression in female students of Ardabil University of Medical Sciences.

  Method: In a descriptive study 230 female students were selected through classified random sampling and their height and weight were measured. To measure the rate of depression a Beck test, and to analyze the data a descriptive method, and finally to indicate the relationship between BMI and depression Pearson correlation through SPSS15 software were used.

  Results : 40% of the students in the depression test were in the normal level, 29% had mild depression, 24% moderate depression and 7% severe depression. In addition 77% of the students, regarding body mass index were in an acceptance level, 14% were overweight and 9% were underweight. Pearson correlation method showed that there was a positive significant relationship between BMI and depression among female students (p≤ 0.01).

  Conclusion: The prevalence of depression in female students of university is 60% and the prevalence of obesity is 14% and there is positive significant relationship between BMI and depression.