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Elahe Faghihifar, Marjan Ajami, Sareh Shakerian,
Volume 19, Issue 4 (Vol.19, No.4, Winter 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.

Tahereh Tiemori, Marjan Ajami, Sareh Shakerian, Morteza Abdollahi,
Volume 20, Issue 2 (Vol.20, No.2, Summer 2024)
Abstract

Background and Objectives: Evidence shows that blood lipid disorders in people are influenced by their unhealthy diet. This study was conducted with the aim of investigating the dietary pattern of people with lipid disorders and the status of non-communicable diseases in the studied population.
Methods: A cross-sectional study was conducted on 300 patients with lipid disorders. The participants were selected among people with lipids who referred to comprehensive health service centers in Alvand city by multistage sampling method. The data were collected using a semi-quantitative food frequency questionnaire (FFQ). The findings were analyzed by SPSS software.
Results: Three dietary patterns including healthy, unhealthy and average were identified in the research participants. Most people (66.3%) followed a moderate dietary pattern. Also, 85% of people were overweight or obese. The results of the logistic regression analysis showed that an unhealthy eating pattern increases the likelihood of developing diseases by 2.267 times compared to a healthy eating pattern. It also showed that with increasing age, the probability of contracting the disease increases by 1.093. Also, there was a significant relationship between food pattern and education level (P<0.05). In this study, there was no significant relationship between age, marital status of people and their food pattern (P>0.05).
Conclusion: The results showed that people who follow an unhealthy food pattern have more non-communicable diseases. Therefore, it seems that modifying the food pattern through nutrition education is appropriate and can be effective in preventing other non-communicable diseases in the future.

Maryam Gholamarzaei, Marjan Ajami, Sareh Shakerian,
Volume 21, Issue 3 (Vol.21, No.3, Autumn 2025)
Abstract

Background and Objectives: Considering the importance of prevention and effective community-based interventions in reducing the psychological and economic burdens of cancers, and focusing on modifiable risk factors, the present study was designed and conducted with regard to several of these factors.
Methods: This case-control study included 211 patients with various types of cancer and 322 controls selected from the PARSA health system. Primary exposures of interest included fast food consumption, fruit and vegetable intake, and physical activity. The International Physical Activity Questionnaire (IPAQ) was used to assess physical activity levels, while the Food Frequency Questionnaire (FFQ) was used to measure fast food and fruit and vegetable consumption. Descriptive statistics and Chi-square tests, independent t-tests, and logistic regression were used for analysis.
Results: Logistic regression analysis indicated that inadequate fruit and vegetable consumption compared to adequate intake was associated with odds ratios of 4.49 and 4.042, respectively, for increased cancer risk. In addition, lower fast food consumption (OR = 0.466)] was associated with a 53% reduction in cancer risk. Physical activity [at the walking level] was statistically significant, although the effect size was very weak. Occupation, gender, education level, family history, and age showed statistically significant relationships with cancer, while other demographic variables showed no significant association.
Conclusion: Based on the findings of the current study and other evidence, as well as the fact that dietary patterns and physical activity are modifiable risk factors, appropriate interventions can play a preventive role in reducing the incidence of chronic diseases. This requires improving community awareness and designing and implementing effective interventions.


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