Maryam Moussavi; Majid Karandish; Ariyo Movahedi; Behnood Abbasi
Volume 3, Issue 1 , March 2020, , Pages 11-14
Abstract
Bioelectrical impedance analysis (BIA) is a simple, inexpensive, quick, and non-invasive technique for measuring body composition and its analysis is used as an alternative to examine muscle mass and body fat percentage Obesity and depression are two major public health problems among adolescents. Both ...
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Bioelectrical impedance analysis (BIA) is a simple, inexpensive, quick, and non-invasive technique for measuring body composition and its analysis is used as an alternative to examine muscle mass and body fat percentage Obesity and depression are two major public health problems among adolescents. Both obesity and depression are very prevalent and associated with numerous health complications, including hypertension, coronary heart disease, diabetes, and increased mortality. The present study was a cross-sectional study on 157 adult females and males from student and staff of Science and Research Branch of Islamic Azad University (SRBIAU) of Tehran that classified in two groups of normal weight and overweight or obese. The proportion of body tissues was determined according to the resistance created. The weight of the subjects was measured and recorded using BIA. Using the DASS-21 Questionnaire for Depression, Anxiety and Stress Based on the present findings, anthropometric indices such as weight, skeletal muscle mass, body mass index, waist to hip ratio, visceral fat level, whole-body water (L), body fat mass (kg), basal metabolic ratio (kcal), degree of obesity (%) ), fat percentage analysis (%), muscle weight analysis (kg), muscle percentage analysis were significantly different between the two groups (P <0.0001) and were higher in obese or overweight groups than the normal one. There were no significant differences in anxiety (p=0.496), stress (p=0.407), and mental health score (p=0.251) in both groups. Whereas, depression was significantly higher in the overweight or obese group (p=0.012). There was no meaningful relationship between BMI and stress (CC=0.04, P=0.612), anxiety (CC=0.052, P=0.519), whereas the positive correlation between BMI and depression (CC=0.932, P=0.035) was significant. There was a direct relationship between obesity and depression, anxiety, and stress. BMI correlates positively with mental health parameters.
Golnaz Majdizadeh; Zahra Vafaei Mastanabady; Zahra Zare; Mena Farazi; Zahra Mohammadizadeh; Ariyo Movahedi; Mina Minaie; Zahra Abdollahi; Ahmadreza Dorosty Motlagh; Maryam Zarei; Arezoo Kavei; Hassan Hamedi
Volume 2, Issue 2 , November 2019, , Pages 19-25
Abstract
Food insecurity is one of the issues that have a serious impact on the nutritional status of all individuals in society, especially children and given that food insecurity can be a precursor of health, developmental and nutritional problems, determining the factors associated with it, is also essential ...
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Food insecurity is one of the issues that have a serious impact on the nutritional status of all individuals in society, especially children and given that food insecurity can be a precursor of health, developmental and nutritional problems, determining the factors associated with it, is also essential in any community it seems. According to this, this study aimed to determine the relationship between food security, socioeconomic status and anthropometric indices in children 2-5 years in Hamedan city. In this analytical descriptive cross-sectional study, 683 children 2-5 years (360 boys, 323 girls) from Hamedan city and villages were selected by systematic cluster sampling methods from the Hamedan University of Medical sciences. HFLAS 9-item questionnaire to investigate food security, and also, a general questionnaire was completed through interviews with mothers of children. Also, children of anthropometric Z scores were measured by using the world health organization (WHO) Anthro software basal on WHO 2007 standards. Eventually, data were analyzed by SPSS software. According to this study, there was a significant correlation between the mother's and father's education and occupation, frequency of snack and food security with children's weight for age (p <0.05). Also, there was a significant correlation between the mother's and father's job, frequency of snack with children's weight for height (p <0.05). While BMI for age had a significant correlation with maternal education, (p <0.05). Also, height for age correlated with the mother’s education and occupation, father’s education, number of snacks and food security (p <0.05). Also, no significant difference was found between other components (p>0.05). The result of this study shown that there was a significant correlation between food security, Z score height for age, Z scores BMI for age, mother's and father's education, mother's job and socioeconomic status of the household.
