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Showing 3 results for Faghihi

F Faghihi, N Jafari, A Akbari Sari, S Nedjat, F Maleki, M Hosainzadehmilany,
Volume 11, Issue 1 (Vol 11, No 1 2015)
Abstract

Background & Objectives: To adopt appropriate policies and strategies to maintain, preserve, and promote health, accurate information and indicators are required. In this study, the years of life lost due to premature death, which is considered one of the indicators of prioritization of health problems, was calculated and compared with other countries.

Methods: This study was an applied cross-sectional investigation. We use death registry data of the Province of Qazvin and population estimation from the Statistical Center of Iran from 2004- 2008 and a standard life table. We calculated YLL and YLL rates by age, sex and cause of death.

Results: The leading cause of YLL (premature death) in different age groups in the years 2004-2008 (based on ICD10) showed that the most common causes of death in the neonatal period were perinatal disorders, congenital anomalies, and chromosomal disorders. The leading causes of death in the age group 5-14 years were unintentional injuries and in the age group 15-49 years were unintentional injuries and cardiovascular diseases. The main causes of death in the age group 50-64 years were cardiovascular diseases, cancer, and unintentional injuries.

Conclusion: The leading causes of premature death in the Province of Ghazvin were unintentional injuries, cardiovascular diseases, perinatal disorders, and cancers. Several causes are preventable by lifestyle modifications such as reducing the tobacco use, increasing physical activity, and reducing stress.


B Damari, M Faghihi Juibari , J Najafpoor, M Safari, A Khoshnevisan,
Volume 12, Issue 3 (Vol 12, No 3 2016)
Abstract

Background and Objectives: Social determinants of health affect a wide range of health consequences. The aim of this study was to analyze the effects of social determinants of health factors on survival in patients with malignant brain tumors.

Methods: This cross-sectional retrospective study was done in Imam Khomeini and Shariati Hospitals in 2014. Based on inclusion criteria, the data of 148 patients were collected. The collected data included demographic information (including age, sex, education level, employment status, marital status, health insurance status, number of household members), information about the tumor and disease (stage / grade), The first and the last time of follow-up, type of selected treatment, and the duration of survival after treatment. We used SPSS 15 to analyze data.

Results: Our results showed a significant relationship between survival and variables such as the size of the household, education, employment status, and age. Patients with grade 3 tumors had a lower relative risk of dying while employed patients, patients in the age range 18-30 years, and male patients had a higher relative risk of dying (lower survival).

Conclusion: Lack of reliable databases and appropriate integration and communication between different organizations recording to patient data, and also probable sensitivity in obtaining personal information has led to the lack of systematic information about the impact of social determinants of health. it is recommended that a system of recording integrated information for different disease should be established in the country for designing informed policies based on the evidence.


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.


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