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Background and purpose : This study was performed in order to determine the correlation between body mass index , maternal and fetal complicationsin patients admitted to Imam Khomeini Hospital in sari during the year 1999.
Materials and methods : This research was a cohort study , done on 726 pregnant women (under weight 154 cases. Normal weight 335 cases and over weight 237 cases). These three groups were matched by the following criteria : obstetrical history, socioeconomical status and the frequency of prenatal care.
Results : In over weight women , prevalence of pre eclampsia , gestational edema , multifetal pregnancy , multiparity , insufficient weight gaining , malpresentation and perinatal mortality were greater than normal weight women. In under weight women prevelance of premature ruptune of membranes , malpresentation were greater than normal weight women.
Conclusion : Low and high BMI can contribute to the complications of pregnancy , thus pregnancy in women with abnormal weight should be considered as ahigh risk factor to be able to prevent complications by special cure .

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Background and purpose: Âdolescent girls as future mothers have a very important function to train healthy generation and it is important to focus on their nutrition status. Therefore in this survey the effects of socioeconomic factors on body mass index (BMÏ) (as a nutrition status indicator) was assessed.
Materials and methods : The subjects were 240 adolescent girls , 14 to 18 years of age. Weight and height measurements of samples were assessed their BMÏ was obtained and compared with BMÏ age and sex-specific growth charts from the centers for disease control and prevention (ÇDÇ) in 2000. Â general questionnaire (about parent education, family economical condition and number of household) for all of the samples was completed.
Results : Â significant relationship between BMÏ status and number of household was observed but parent education and family economical condition had no significant effects on BMÏ status.
Çonclusion: Populous families could affect the household's BMÏ status in addition we need wide epidemiologic studies to prepare a suitable standard for Ïran to assess socioeconomic status of people.

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Background and purpose: Measurement of height and weight of children and adolescents are important sources of information and the best index for evaluation of their growth and nutritional and health status of society. This study performed to evaluate weight, height and pubertal stage of girls in sari.
Materials and methods: This cross – sectional study was performed on 1320 6-18 years old school girls in elementary guidance and high school of Sari. Their height, weight and pubertal stage were evaluated and recorded by educated personas . Also Body Mass Index was calculated and recorded. Then Z score (SDS) of weight, height and the Body Mass Index studied people was compared by using calculated standard curve and findings in NCHS curve and findings of 1997 in Sari. For analyzing data, descriptive statistics, Mean±SD, Frequency and percent were used.
Results: By using NCHS curve 1256 persons ( 95. 2 % ) from total persons that were studied , had normal height ( 5 – 95 percentile ) and the weight of 1254 persons ( 95 % ) were in 5 - 95 percentile . 2/5 centemers increasing in height and 2.5 Kg increasing in weight were seen in comparison to 1997 study .BMI of persons in all age groups ( expect 17 year old with ± 0.05 SD )were over than 50 percentile and mean age of beginning of menarche was 11.4 ± 1.1 .
Conclusion: Our study in Sari shows the improvement in growth index in comparison to 1997 study which become near to standard curve in developed country.

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Background and purpose: Prevalence of over weight and obesity is increasing in the world. Those over weight are more susceptible to cardiovascular diseases than other individual's. Studies indicate that body fat distribution has a determining role in the identification of risk factors. Also, the relation between BMI, cardiac ischemic pains and exercise test condition in such patients, is in need further investigation. The aim of this study was to determine the relation between BMI with exercise tolerance test in patients with cardiac ischemic pains, who were referred to the Cardiac Center of Mazandaran Province, in Sari Township.
Materials and methods: In this case control study considering the BMI in ischemic patients, 65 were selected as case and 65 persons as control using Tread mill and according to Bruce Protocol, results and tolerance test time was recorded. Independent T test was used for comparison of quantitative indexes mean, while x2 test using SPSS soft ware was used for comparison of the ratio of persons with the qualitative features.
Results: Data indicated mean weight of 57.1 kg and height of 1.64m in the case group. Also, 58.5% had history of hyperlipidemia (Cholesterol higher than 200mg/dl) and 78.8% with history of blood sugar (higher than 120mg/dl (P<0.001). Even 63.6% had hypertension of 140/9o mm Hg. Our findings showed that BMI in the case and control groups were (26.95±3.94) and (25.95±3.49) respectively. Moreover, a significant relationship between high BMI with cardiac ischemic pains and exercise tolerance test (P<0.001) were demonstrated.
Conclusion: Cardiac ischemic pains in individuals with high BMI is common. Exercise tolerance test as one of the non invasive and less expensive procedures, can be an indicator of cardiac ischemic disease.

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Background and purpose: The increasing prevalence of overweight and obesity in children and teenagers is a serious health concern which could result in physical, mental and social disorders in next years. Several factors contribute to overweight and obesity. This study aimed to determine the factors affecting overweight and obesity among high school students in Amol (north of Iran) in 2013. Material and Methods: In this descriptive-analytical study, 381 high school students in Amol were randomly selected. Data was collected in a questionnaire containing open and closed questions including three sections: demographic variables, contextual variables and dependent variables. The validity and reliability of the questionnaire were also confirmed. The obtained BMI (Body Mass Index) was divided into four categories: underweight, normal, overweight and obese. Data was then analyzed in SPSS. Results: In this study the BMI of the students showed that 76 (20.1%) were underweight, 215 (56.7%) were normal, 63 (16.6%) were overweight, and 25 students (6.6%) were obese. There was a significant relationship between high BMI and the time spent using computer (P= 0.041). No significant relationship was found between high BMI and sex, parent’s educational background, place of residence, type of school (private or state), consumption of fast food, having exercise, going for walk, and time spent watching television (p>0.05). Conclusion: The results showed that almost a quarter of the students with high BMI were not influenced by any social or behavioral factors. However, further intervention programs should be designed for all student groups to reach more accurate conclusions.

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Background and purpose: Obesity is a common risk factor for lipid disorders, diabetes, and prediabetes, all of which are associated with adverse health outcomes and premature mortality. Considering the serious complications of hyperlipidemia and the lack of sufficient studies examining hyperlipidemia in prediabetic patients, timely identification of underlying factors, along with prevention and education, is critical in reducing the incidence of these conditions. The aim of this study was to investigate the relationship between obesity and lipid disorders in prediabetic individuals, as well as to evaluate the independent effect of prediabetes on lipid levels and the combined effect of obesity and prediabetes.
Materials and methods: The present study is descriptive and analytical in nature. The statistical population consists of individuals over 30 years of age who visited health centers in Amol city. The centers were selected through simple random sampling, and the sample size was calculated to be 530 individuals. By reviewing health records, prediabetic individuals who were obese or had normal BMI were included in the study until the required sample size was reached.
A person is considered obese if their BMI is equal to or higher than 30 kg/m². Information on blood sugar and lipid levels was extracted from patient files and recorded. The weight, height, and waist circumference of the subjects were measured, and BMI was calculated. Blood pressure was measured using a mercury sphygmomanometer. After data collection, data entry and analysis were performed using SPSS-23 software. The significance level was set at 0.05. Due to the normal distribution of the data, the Student’s t-test and ANOVA were used to compare quantitative variables, while multiple regression analysis was employed to evaluate the dependent variable against other independent variables. Pearson’s correlation coefficient was used to assess relationships between quantitative variables.
Results: In total, 515 individuals met the inclusion and exclusion criteria, with 396 women and 119 men participating. The results indicated a significant relationship between abnormal waist circumference and dyslipidemia (P= 0.001), BMI and dyslipidemia (P= 0.001), and family history of obesity, family history of hyperlipidemia, and dyslipidemia (P= 0.001). However, no significant relationship was found between family history of diabetes and dyslipidemia (P= 0.05) or between dyslipidemia and age, occupation, sex, and smoking.
The findings showed that for every increase in LDL, the likelihood of dyslipidemia increases by 1.5 times; for every increase in fasting blood sugar (FBS), it increases by 1.2 times; and for every increase in triglyceride levels, it increases by 1.1 times. The chance of dyslipidemia increases by 14.6 times in people with a family history of diabetes and by 0.02 times in those with a family history of hyperlipidemia.
A significant relationship between BMI and dyslipidemia was observed (P= 0.001). With increasing BMI, the chance of dyslipidemia increases by 0.68 times. Additionally, a significant relationship was found between LDL and BMI (P= 0.000), and a significant inverse relationship was observed between HDL and BMI (P= 0.003). A significant relationship was also found between cholesterol (COL) and BMI (P= 0.000), triglycerides and BMI (P= 0.000), and waist circumference and BMI (P= 0.000).
Conclusion: This study demonstrates that BMI has a positive correlation with HDL, LDL, triglycerides, and cholesterol. As obesity increases, the likelihood of dyslipidemia rises as well. Moreover, increases in LDL, FBS, and triglycerides, along with a family history of diabetes and hyperlipidemia, are associated with an elevated risk of dyslipidemia.