Search published articles


Showing 3 results for Overweight

Maryam Mataji Amirrood , Mohammad Hosein Taghdisi, Mahmood Reza Gohari, Farzad Shidfar,
Volume 8, Issue 6 (3-2015)
Abstract

Background and Aim: Identifying obesity-related eating behavior predictors especially in women, who have a key role in their family's food basket, has a great importance in the prevention of obesity. The purpose of the present study is to determine the role of eating attitude on obesity-related eating behavior in overweight and obese women in Urmia.

Materials and Methods: The present descriptive-analytical study was performed on 100 overweight or obese women covered by Shahid Nikkhah and No. 13 Health Centers in Urmia. Sampling was conducted through c onvenience method and women with a BMI equal to or more than 25 (kg/m2) were selected. Following their informed consent, they completed the questionnaires about demographic characteristics , attitude, and food behavior checklist. Data analysis was conducted using SPSS software version 18 and descriptive and inferential statistics (Chi-square , analysis of variance and regression ) at 0.05 significance level .

Results: The result confirmed that there was a significant relationship between attitude and poor , average and good eating behavior groups of women (p=0.003).

  Regression analysis revealed a positive and significant relationship between eating behavior and attitude scores (p=0.004, r=0.285) . Also, prediction of observed distribution in eating behavior was confirmed by age , anthropometric indices and demographic factors in addition to eating attitude .

Conclusion: The study results confirmed the predictive role of eating attitude on obesity-related eating behavior. Therefore, it is recommended that correction of eating attitude be emphasized in the promotion of healthy eating behavior.


Roghayeh Shad, Nahid Bijeh, Mehrdad Fathi,
Volume 12, Issue 6 (3-2019)
Abstract

Background and Aim: Despite the significant progress in the field of health, Cardiovascular diseases are the leading cause of death among people. For this purpose, the present study was conducted to evaluate the effect of eight weeks of aerobic exercise on lipoprotein a, blood coagulation and fibrinolysis factors in overweight women.
Materials and Methods: In this semi experimental study with pre and post-test design, 21 overweight women subjects aged between 20 and 30 were randomly selected from experimental (10 people) and control (11 people). The aerobic exercise protocol consisted of five sessions per week for 30 minutes and with an intensity of 55%-75% heart rate reserve (HRR). Blood samples were collected from subjects in two stages to evaluate the considered variables. Measurement of levels of Lipoprotein a, Fibrinogen, PT, PTT, Platelet counts and Hemoglobin. For data analysis, repeated measures of variance analysis at a significant level of 5 hundredths were used by employing SPSS software.
Results: The mean values of Lipoprotein a, Fibrinogen, PT and Platelet counts in the control group showed no significant change after eight weeks of training (P>0.05). While PTT changes in the both groups was significant in the post-test compared to the pre-test (P=0.006). The inter-group difference, in any of the variables between the experimental and control groups, was not significant (P>0.05).
Conclusion: Eight weeks of aerobic training had no effect on Lipoprotein a and blood coagulation and fibrinolysis factors, however, this training program can take effective steps in improving health promotion in overweight women.

Niloofar Mohammadzadeh, Negin Ebrahimi, Mojgan Agah Heris,
Volume 16, Issue 4 (10-2022)
Abstract

Background and Aim: According to the report of the World Health Organization, overweight and chronic and psychological diseases caused by it have reached an alarming level in the world. Today, cognitive behavioral therapy as a specific method for controlling overweight teaches the audience how to identify and change inappropriate behavior patterns and destructive thoughts with distress that negatively affect their behavior and emotions. The purpose of this research was to provide a mobile-based application for overweight control with a cognitive-behavioral therapy approach.
Materials and Methods: This research was of applied-developmental type. In the first stage, by examining the available applications based on mobile and related to weight control and also Beck cognitive therapy protocol for weight loss, the capabilities of the application were identified and then based on a survey of experts, these capabilities were determined. Afterwards, the user interface of the application was designed and the necessary coding was done to use it. The database was then created using MySQL software and the application program was created using Flutter software and Dart programming language and was named CBTdiet. Finally, the usability of the application was evaluated by users using a standard QUIS questionnaire.
Results: Based on the entry and exit criteria, among the 247 identified applications, the capabilities of 17 applications were examined. Finally, according to the opinion of the experts, 21 capabilities, including the ability to send motivational messages to the audience and the ability to reward to achieve weight loss of one kilogram per week, were considered for the design of the application program. The application designed in this research was at a good level from the users’ point of view with an average of 7.99±1.1 and was able to obtain an acceptable level of satisfaction in the evaluation stage. The software’s overall capabilities section got the highest average score (8.12) and the screen section got the lowest average score (7.89) among all sections.
Conclusion: Based on the determined capabilities, a mobile-based application for controlling overweight was designed and created with a cognitive behavioral therapy approach, and it can be effective in overweight control by modifying lifestyle and changing destructive thoughts.


Page 1 from 1     

© 2024 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb