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Showing 8 results for Physical Activity

Aghamolaei T, Tavafian Ss, Hassani L,
Volume 4, Issue 3 (3-2009)
Abstract

Background & Objectives: The objective of this study was to determine self efficacy, perceived benefit/ barriers to exercise of students in Hormozagan University of Medical sciences (HUMS).
Methods: This was a cross-sectional study. Using stratified sampling, 350 current students of HUMS were studied from November to December 2007 in Bandar Abbass, Iran. Data regarding self efficacy, perceived benefits/barriers to exercise among participants were assessed through Exercise self efficacy scale and Exercise Benefits/Barriers Scale. Data were analyzed by SPPS version 13.
Results: In all, the data of 249 participants with mean age of 21.7 ± 2.7 were analyzed. Among them 65 participants (26.5%) including 36 girls and 30 boys were doing physical activity. Mean scores of self efficacy, perceived benefits, perceived barriers were 23 ± 7.1, 96 ± 12.5 and 31.9 ± 6.1, respectively. There were statistically significant relationship between self efficacy and perceived barriers with physical activity (P<0.05).
Conclusions: This study revealed perceived barriers such as insufficient time, money and also tiredness due of exercise could decrease physical activity. However perceived self-efficacy and encouraging by friends and family members have a key role of doing regular physical activities.
L Salehi, Mh Taghdisi, H Ghasemi, B Shokervash,
Volume 6, Issue 2 (9-2010)
Abstract

Background & Objective: Physical activity is important for the health of all individuals, however, the determinants of physical activity behavior for elderly remain unexplored in Iran. The purpose of this investigation was to explore a range of factors that influence participation in physical activity for a group pf elderly people in Tehran in 2008.
Methods: This was a population-based study. Structured interviews with a valid questionnaire were employed for this survey. It was carried out on four hundred members of Healthy Association in Tehran. Multistage sampling was used.
Results: The mean age of participants was 64.07 ± 4.49. The prevalence of a sedentary lifestyle among elderly fifty-three (53%) estimated. The prevalence across the stages was as follows: 30.25% in pre contemplation, 12.75%in contemplation, 27.25% in preparation, 6.25% in action and 23.5% in maintenance. Inactive participants perceived that their laziness prevented them from being physically active. Meeting friends was the most important facilitator for participating in physical activity. The individuals who married, younger, lower body Mass index, having no chronic disease, and those with past history of exercise were more likely to adopt, initiate and maintain regular physical activity. Regression analysis showed that the greater knowledge of physical activity, higher Perceived health benefits, more Self efficacy were associated with physical activity.
Conclusion: Knowing the facilitators and barriers factors of physical activity in elderly would help to implement any future intervention for this group of people.
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.
M Pourranjbar, H Jamalizadeh, M Mehrtash, K Divsalar,
Volume 15, Issue 2 (9-2019)
Abstract

Background and Objectives: Menopause is one of the most sensitive events in a woman's life. Health improvement in this period can bring women a better quality of life and has many effects. This study was conducted to investigate the relationship between the level of physical activity and the level of health of postmenopausal women in Kerman Province.
 
Methods: A total of 536 postmenopausal women were selected from Kerman province. The Goldberg’s General Health Questionnaire was used to measure the level of health and the general physical activity questionnaire (GPAQ) was applied to determine the amount of physical activity. The formula for measuring body mass index was used for BMI. Ultimately, the Spearman, Kruskal Wallis, and Bonferroni statistics were used because the data distribution was not normal.
 
Results: The amount of physical activity in postmenopausal women in Kerman Province was lower than the WHO recommended. There was a significant relationship between physical activity with the level of health (r = 259), (P≤0.001). Moreover, BMI and health level had an inverse relationship (-0.186) (P≤0.001).
 
Conclusion: Based on the results, a significant relationship was found between physical activity and general health status of postmenopausal women. Considering the effect of physical activity on health, it can be concluded that increased physical activity of postmenopausal women in Kerman Province can improve their health and BMI.
A Etebarian Khorasgani , A Ghanbari Khanghah , A Paryad, Z Atrkar Roshan ,
Volume 15, Issue 3 (11-2019)
Abstract

Background and Objectives: Lifestyle is a way that a person chooses throughout life and is an indicator that can affect physical and mental health. This study was conducted to determine the lifestyle of people in Rasht and its predictive factors.
 
Methods: This analytical, cross-sectional study was conducted in 1000 residents of 5 districts of Rasht. Data were collected using a demographic questionnaire and the Behavioral Health Questionnaire. SPSS software version 20 was used to analyze the data. Pearson correlation coefficient, independent t-test and linear regression were applied.
 
Results: The result showed that 50.3% of the participants were male and 49.7% were female. According to lifestyle, the rate of using alcohol, physical activity, breakfast, red meat, fruits, salt, and ready meal was 13.4%, 54.3%, 95.6%, 87.7%, 98.4%, 59.6%, and 45.9%, respectively. The majority of the research units (70.1%) never smoked. The mean sleep time was 7.45 ± 63/1 hours.
 
Conclusion: Based on the results, promotion of nutritional knowledge, increased awareness of the disadvantages of smoking, availability of healthy food at a reasonable price, and physical activity are important factors for lifestyle improvement.
Z Naghibifar, H Soori, S Eskandari, A Razzaghi, S Khodajarim,
Volume 17, Issue 1 (5-2021)
Abstract

Background and Objectives: Quality of life is a valuable indicator for measuring people's health. The purpose of this study was to determine the predictors of quality of life in the staff of Shahid Beheshti University of Medical Sciences, Tehran, Iran using the path analysis model.
 
Methods: This cross-sectional study was performed on subjects participating in the Health Cohort Study of Shahid Beheshti University of Medical Sciences, Tehran, Iran in 2018. A demographic information form and standard quality of life, general health, physical activity and burnout scales were used for data collection. The SPSS version 24 and Amos version 24 were used for data analysis.
 
Results: A total of 770 individuals were selected for the study, of whom 345 (44.8%) were male. The mean age ± standard deviation of the participants was 42.6±8.4. Analysis of the quality of life pathway of the participants showed an appropriate model (RMSEA= 0.014, CFI=0.999, NFI = 0.991, TLI = 0.994, CMIN/DF = 1.146). In addition, general health (0.560) and physical activity (0.078) had a direct correlation and occupational burnout (-0.178) and age (-0.082) had an inverse correlation with quality of life.
 
Conclusion: The results of this study suggest that factors such as general health, physical activity, and burnout have an impact on the participants. Therefore, it is necessary to consider the factors affecting the quality of life.
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.
Asal Aghadavodian Jolfaee, Maryam Jahanbakhsh, Mohamad Sattari, Roya Kelishadi,
Volume 19, Issue 3 (12-2023)
Abstract

Background and Objectives: The present research was conducted to predict mental health based on three factors: nutrition, activity, and leisure time, among students in the adolescent age group, using data mining techniques.
Methods: The present analytical study was conducted on 14274 data available in the Caspian 5 database. According to the CRISP-DM method, data mining was done in 6 steps using decision trees, k nearest neighbors, simple Bayesian and random forest techniques in Rapidminer software.
Results: Among the four data mining techniques used to predict the mental health of adolescents based on nutrition, physical activity and leisure time, the random forest technique has the highest accuracy (91.72) and specificity (82.73) and the k-nearest neighbors technique has the highest sensitivity (96.30). In addition, based on random forest techniques, the rule with the highest level of support showed that an adolescent who is in high school, eats breakfast, lunch, and dinner every day, drinks tea and coffee weekly, exercises 2 hours a week at school,also, he has 4 days of physical activity for 30 minutes in the last week, and he goes to school with the service, with 100% confidence has good mental health.
Conclusion: Based on the random forest technique, which has showen the best performance, nutrition has the greatest impact on the mental health of Iranian adolescents. So, it is necessary to think about providing a suitable platform for training parents and adolescents regarding proper nutrition and increasing awareness in the field of adolescent mental health.


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