Showing 6 results for Obesity
M Khabazkhoob , A Fotouhi , A Moradi, K Mohammad ,
Volume 3, Issue 3 (2-2008)
Abstract
Background & Objectives: Malnutrition is widely regarded as one of the factors affecting quality of life. The adverse effects of malnutrition have been documented in various age groups. School problems, learning difficulties, humiliation and teasing from peers are some of the most common complications of obesity and excessive thinness. The goal of this study was to determine the BMI and some of the factors affecting it in the students of Dezfool.
Methods: In a cross-sectional study and using random cluster sampling, 5726 students from 39 clusters were selected and anthropometric measurements were performed in the schools and under standard conditions. Cases of obesity and thinness were identified using BMI percentiles for age and sex (NCHS). A Body Mass Index above the 95th and below the 5th percentile was defined as obesity and thinness respectively.
Results: This study involved the participation of 5508 students (96.2%). The prevalence of thinness was 33% (1716) with a 95% confidence interval of 27.3%-38.8%. The prevalence of obesity was 2.6% (157) with a 95% confidence interval of 1.7%-3.4%. There was no significant difference between the prevalence of obesity or thinness between the two sexes (P>0.05). The prevalence of obesity and thinness significantly increased and decreased respectively with aging (P<0.05).
Conclusions: Malnutrition among the students in Dezfool predominantly takes the form of thinness, while obesity is not a serious problem in this population overall, these findings indicate poor nutritional status. High-risk groups have been identified and they must become the target of interventions by the Health and Education Ministries.
T Amiri Parsa, M Khademosharie, Mr Hamedinia, Ms Azarnive,
Volume 9, Issue 4 (3-2014)
Abstract
Background & Objectives: Obesity is associated with increased resistance to insulin, hypertension, hyperlipidemia, hyperinsulinemia, and cardiovascular diseases. The purpose of this study was to investigate some factors associated with overweight and obesity among normal, overweight, and obese women aged 30 to 50 years from Sabzevar.
Methods: A questionnaire with 56 questions was prepared. The Beck questionnaire was used to measure the physical activity level. Weight, height, and waist circumference of the participants were measured using standard methods. Overweight (BMI ≥25 kg/m2), obesity (BMI ≥30 kg/m) and abdominal obesity (WHR ≥0.85) were also evaluated. MANOVA, Tukey post-hoc test, Pearson and Spearman correlation coefficients, Kruskal-Wallis and chi-square test were used for the statistical analysis of test variables. P ≤0.05 was considered significant.
Results: The results showed that 22.5% of women had normal weight, 42.4 percent were overweight, 31.6 percent were obese, and only 3.5 percent of women were underweight.
Conclusion: Our results showed that the prevalence of overweight and obesity was 74% in women living in Sabzevar, indicating the necessity of using educational methods to familiarize people, especially women, with weight control issues and prevention of obesity. The findings revealed that age, number of children, number of pregnancies, age at menarche, number of family members, working with the computer, and high-fat meals may increase the risk of obesity. Lifestyle modification and physical activity, as the most affordable and safest methods of preventing obesity, require more attention.
Mh Panahi, P Yavari, D Khalili, Y Mehrabi, F Hadaegh, F Azizi,
Volume 11, Issue 1 (6-2015)
Abstract
Background & Objectives: Some studies on chronic diseases have indicated that obesity may result in a paradoxically longer survival. The present study was aimed to investigate the effect of Chronic Kidney Diseases (CKD) and Metabolic Syndrome (MetS) on the incidence of Coronary Heart Disease (CHD).
Methods: In order to record time to CHD events, a sample of 6,507 individuals (mean age 47.4 years, 43.4% males) was followed for nearly 10 years. Participants were also categorized into four groups according to presence/absence of CKD and MetS. Then, using a Multivariate Cox Regression, the Hazard Ratio (HR) of each group was estimated relative to individuals free of both CKD and MetS separately for obese (BMI&ge27.1 Kg/m2) and non-obese persons (BMI<27.1 Kg/m2).
Results: HR for non-obese patients with CKD but not MetS was obtained 2.06 (95%CI: 1.28-3.31) in men and 2.56 (1.04-6.31) in women. However, these associations were not significant for obese patients. Furthermore, among non-obese men and women with MetS alone, HR was estimated 2.52 (1.71-3.73) and 4.68 (2.20-9.95), respectively. For obese patients, these values were 1.70 (1.05-2.78) and 1.90 (1.16-3.13), respectively.
Conclusion: The results reflect that among those who had MetS alone, the risk of CHD incidence was twice higher in non-obese individuals compared to obese patients.
S Mirshekar, Sm Safavi, Gh Yadegarfar,
Volume 12, Issue 4 (2-2017)
Abstract
Background and Objectives: Food is one of the major needs of the humans that is defined in the context of food security. The objective of this study was to find the relationship between food insecurity and stunting combined with obesity and overweight in children aged 7-11 years old in Zabol.
Methods: This study had two phases. In the first phase (cross-sectional), 3443 students aged 7-11 years old were selected with stratified – cluster sampling. In the second phase, all of the children with stunting and obesity or overweight based on the CDC growth chart comprised the case group and 112 students with normal height and weight based on the CDC growth chart comprised the control group. The case and control groups were matched in terms of age, sex, and school. The food security USDA questionnaire that consists of 18 items was completed through interview with mothers to evaluate the family food security.
Results: The prevalence of stunting, obesity, and overweight was 17.95%, 4.56%, and 10.98% respectively and the prevalence of stunting combined with obesity and overweight was 1.71% in the first phase of the study. There was a significant relationship between food insecurity and stunting combined with obesity and overweight. Food insecurity had a significant relationship with low economic status, living in rented homes, labor job and unemployment of the household head, and low education level of the household head in the case group.
Conclusion: Because of the significant relationship between food insecurity and stunting combined with obesity and overweight, it is necessary to design interventional programs to prevent or reduce food insecurity.
M Shami, P Azodi, M Mahmodi, S Najafipour Boushehri, F Jahanpour ,
Volume 17, Issue 1 (5-2021)
Abstract
Background and Objectives: Physical activity is one of the most important components of life. The aim of this study was to evaluate the physical activity level of primary school students in Bushehr in 1398.
Methods: In this cross-sectional descriptive-analytical study, the research population included all elementary school students in Bushehr. Four hundred and six students were selected using multi-stage random sampling. The Physical Activity Questionnaire for Children, which is a valid and reliable scale, was used to collect the data. Independent t test, one-way analysis of variance, Pearson correlation coefficient and multiple linear regression model were used for data analysis. Data was analyzed using the SPSS software version 20.
Results: The mean score of physical activity was 3.27±0.84. There was a significant relationship between demographic factors (parents’ education level, participant’s education level and BMI) and physical activity. Students whose parents had higher levels of education were more likely to engage in physical activity and people who were obese had less physical activity.
Conclusion: The students' physical activity was moderate. Given that there is a direct link between physical inactivity and increased prevalence of overweight and obesity, it is important to pay attention to the lifestyle of people, especially children and adolescents who are in the learning age. Therefore, more attention should be paid to improving the level of physical activity in students through education and building a culture.
Elahe Faghihifar, Marjan Ajami, Sareh Shakerian,
Volume 19, Issue 4 (3-2024)
Abstract
Background and Objectives: Childhood obesity has become a global challenge today. Many studies have shown the relationship between obesity and socioeconomic factors. Therefore, this study aimed to evaluate socio-economic inequalities with nutritional patterns and obesity in children.
Methods: This study was conducted using the structural analysis methodology on 80 children from 6 to 13 years old, selected randomly from those referred to the health assessment centers of Sonqor and Kolyai, Iran. The body mass index was calculated using the standard method. Nutritional patterns were measured using the 24-hour food recall questionnaire, and socioeconomic status was assessed using related standard questionnaires. The data were analyzed using SPSS 24 and AMOS 24 software.
Results: The results showed that 28.75% of the subjects were obese or overweight. The structural analysis showed that the socioeconomic variable directly affected the nutritional pattern and body mass (-0.43) with an impact coefficient of as much as 0.65. The nutritional pattern variable affected BMI with an impact factor (-0.74). The bootstrap test results indicated that the significant effect of socio-economic status on BMI is mediated by nutritional pattern (-0.48). Prediction values show two economic-social and nutritional pattern variables predicted 0.16 and 0.29 BMI changes, respectively.
Conclusion: The findings of this study showed the effect of socioeconomic status on nutritional patterns and body mass index in the research community. Today, The issue of increasing body mass in the world and our country is one of the most important social challenges. Considering the heterogeneous effects of socioeconomic status on nutritional patterns and body mass index, it is necessary to formulate and implement preventive policies according to the conditions of the communities to achieve effective results.
