relationship between anthropometric factors and iron deficiency anemia factors

Background: Iron deficiency is often observed in obese individuals. The prevalence of obesity has increased at an epidemic rate. A few small studies have noted a possible association between iron deficiency and obesity. The purpose of the study has been determined relationship between anthropometric including body mass index and the size of abdomen and iron-shortage anemia

Materials and Methods: Descriptive, analytical, and cross sectional methods of research have been applied in the study. The instruments used to collect the data were a set of organized items in the questionnaire and a checklist contained the measurement of abdominal obesity, height, weight, BMI, the results of ferritin levels, hemoglobin, hematocrit, and TIBC and MCV. The tools were validated via content validity and test-retest. The participants were the staff [n=300] of Hamadan branch, Islamic Azad university, Iran, who were selected via census sampling technique. To analyze the data, descriptive statistics and inferential statistics, that is, chi-square, Pearson correlation coefficient, and ANOVA were run using SPSS software

Results: 48.4% had overweight and 43.9% had various degrees of general obesity. 45.7% of women and 1.9% of men suffered from abdominal obesity. 3.2% of men had ferritin levels less than 20ng/dl and 79.2% of them had high levels of TIBC, while 31.5% of women had ferritin serum less than 12ng per dl and 73.9% of them had high TIBC. There was a significant relationship between abdominal obesity and TIBC, HB, HCT, and ferritin serum [p<0.0005]

Conclusion: The results of this study indicate the high prevalence of overweight, obesity, and abdominal obesity and their relationship with iron deficiency anemia. These are non-communicable disease, which are directly related to the lifestyle

Comparison of indicators of metabolic syndrome in Iranian smokers

Worldwide non communicable diseases are increasingly recognized as a major cause of morbidity and mortality. The metabolic syndrome is a common metabolic disorder that results from the increasing prevalence of obesity. The disorder is defined in various ways. This study determine the comparison of indicators of metabolic syndrome in Iranian smokers population. A total of 1,024 Iranian subjects aged 30 to 70 participated in this cross sectional study. Standard questionnaire was completing regarding smoking habits, medications, past medical history, physical activity, blood pressure, fasting blood suger, total cholestrol HDL and triglycerides. The diagnosis of metabolic syndrome was based on the IDF criteria. As defined by the modified IDF criteria, [45.9%] had the MS at baseline assessment. The risk of incidence of the metabolic syndrome among smokers was significantly [p<0.008] greater than nonsmokers. Among men without the MS at entry, body weight gain, compared with never smokers, was significantly [p<0.007] higher in smokers who had quit smoking. It is important for the prevention of the MS not only to quit smoking but also to prevent weight gain after smoking cessation. Although many cardiovascular diseases [CVDs] can be treated or prevented many people die from CVDs. Reducing the rate of cigarette smoking, body weight, blood pressure, blood cholesterol, and blood glucose all have a benefit impact on major biological cardiovascular risk factors. Behaviors such as stopping smoking, taking regular physical activity and eating a healthy diet promote health and have no known harmful effects

Is age of menarche related with body mass index?

Prediction of the onset of menstruation [menarche age] using height, weight and Body Mass Index [BMI] is a major health procedure. The present study was conducted to determine the relationship between anthropometric indices and menarche age in 488 girls 11-17 years in southern Iran [Kish Island] in 2011. Data was collected using questionnaires as well as measurements of the children's height and weight. This data was analyzed using t-test and logistic regression. Median age of menarche of menstruated girls as inferred from the age of menarche cumulative distribution was 12.9 years. Mean [SD] BMI in menstruated and non-menstruated girls were 21.97 [4.5] and 19.17 [3.7], respectively. Mean [SD] weight and height of the menstruated girls were 53.65 [12.3] kg and 156.06 [5.5] cm, respectively which are higher than respective figures of the non-menstruated participants 43.70 [10.7] kg and 150.21[6.3] cm, respectively. Our results revealed a significant correlation between BMI and menarche age. Menarche age and BMI are significantly correlated with higher BMI related to lower menarche age

[Association between body mass index and socioeconomic status in female students in Kish, Iran]

Objectives: Malnutrition among adolescents is not only an important health problem but also an economic development problem in Iran and other developing countries. The home environment is found to be related to the development of malnutrition in children. Information on this relationship is important to identify the target risk groups for nutritional intervention. The objective of this study was to determine the association between socioeconomic with BMI status in Middle school adolescent girls in Kish Island

Methods: In a cross- sectional study, without sampling, 488 girl students aged 11-15 years were selected from all Kish Island Middle schools. Weight and height were measured and BMI was calculated. Weight status was determined based on the CDC 2000 reference for BMI-for-age. Data on socioeconomic factors like age, parental education, and parental job was collected through a questionnaire

Results: Father's literacy and mother's literacy had significant association with BMI status [P=0.001, P=0.06 respectively]. Analyses by chi-square and Pearson correlation tests showed mother's literacy and father's literacy were strong predictors for overweight and obesity

Conclusion: Increasing parental nutritional knowledge is necessary to initiate changes in nutritional conduct. In addition, a longitudinal study of adolescent nutrition and its associated factors is suggested

Clinical osteoporosis probability scoring system: selection of menopausal women for bone densitometry screening

To formulate a clinical scoring system for evaluating people at risk of osteoporosis before ordering Bone Mass Densitometry. Eighty two probable clinical osteoporosis related factors were checked in 325 females referred for Bone Mass Densitometry testing in Hamadan province, Iran. The statistical modeling resulted in a clinical osteoporosis probability [COP] scoring system based on 9 factors including: fracture history, drug therapy with thyroid hormone, corticosteroids, estrogen, ca-VitD, number of children, age, BMI and the number of menopausal years. Osteoporosis was found in 62.2%. The osteoporosis probability scoring system cutoff value of 26.8 was selected with 89% sensitivity, 63% specificity, Youden factor of 0.53 and LR=2.4. In this score, osteoporosis probability was 98%. Area under the curve in Roc curve of osteoporosis probability scoring system was 81.4%. Clinical Osteoporosis Probability scoring system with a 26.8 cutoff value is suggested for osteoporosis prescreening using Bone Mass Densitometry test