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Fateme Ghaedi Heydari, Narges Toghian Chaharsoghi,
Volume 0, Issue 1 (10-2012)

Diabetes is one of the main reasons for pathogenicity, death and increase in the cost of health services all over the world, and in case it occurs simultaneously with depression, the extent and severity of the symptoms will increase, as depression is one of the most prevalent psychological disorders in diabetic people which can result in more undesirable changes in the prognosis of the disease. Therefore, this study was conducted to determine the simultaneous incidence of diabetes and depression and some related issues. This

The incidence of depression together with diabetes causes a decrease in metabolic control, medication adherence, decreased quality of life, failure to follow appropriate diets, increase in the costs of health care, incapability, death, and increase in the use of insulin and diabetic symptoms. These illnesses underlie numerous illnesses such as dementia disorders and affect the entire process of treatment.

Diabetes, like other medical disorders, has a considerable interaction with depression and regarding that the incidence of depression in diabetic people is high, it is necessary to screen depression and to provide remedies such as education in order to improve the coping ability in these patients.

study is a library research. To find related articles and studies, reliable websites were searched (magiran, sciencedirect, ovid, springer, proquest), and in general, among 82 articles 74 ones were studied.
Morteza Mansoorian, Babak Rastegari-Mehr, Mostafa Ghorbani, Zahra Shafieian, Omid Safari, Sara Moradi, Zahra Delshadi, Aziz Rezapour, Hossein Ansari, Hamid Asayesh,
Volume 3, Issue 1 (7-2015)

Background & Objective: Using internet have had a significant impact on the lifestyle changes of internet clients which can affect their health. The aim of this study was to survey the relationship between lifestyle related to internet with loneliness and social support of the internet clients in Ilam University of medical sciences.

Methods: This study was a cross sectional study which was performed in 2014 on 400 university students and personnel of Ilam University of medical sciences using stratified random sampling method.Data collection instrument was a questionnaire comprising of four sections: demographic information, lifestyle related to internet questionnaire , loneliness and social supports questionnaires.All data were analyzed using SPSS software by Mann Withney and Kruscall- Wallis tests and linear regression test.

Results: The linear regression results showed that there was a significant relationship between loneliness and lifestyle related to the internet, gender, marital status, occupational statues and age (P<0.01). There was also a significant relationship between social support and lifestyle related to the internet and age (P<0/05). The results showed that there was a significant relationship between loneliness and social support with marital status, educational degree and internet usage (P<0/01).

Conclusion: According to the significant relation between loneliness and social support with the lifestyle related to the internet, and regarding the inevitability of Internet, it seems more supporting the students and implementing the educational programs for university clients about suitable using of internet is necessary.

Afshin Salahian, Hasan Gharibi, Neda Malekpour, Noshin Salahian,
Volume 3, Issue 2 (12-2015)

Background and objective: According to the high and increasing prevalence of internet addiction, and the fact that little research has been done on the predictors of internet addiction in Iran, the purpose of this study was to examine the role of predictor variables of mental health and personality subscales in internet addiction of students in medical and non-medical universities of Sanandaj in 2014.

Methods: The Method of this research was correlation and the statistical population were all of medical and non-medical students of Sanandaj Universities in 2014. In this study, 250 students (125 female and 125 male), were randomly selected, and completed the checklist of mental health symptoms, NEO personality questionnaire, and internet addiction questionnaire. Data were analyzed using Pearson Correlation, stepwise regression, and T test by SPSS software version 20.

Results: The results indicated that obsession-compulsion, openness, consciousness, aggression and somatization subscales had predictor roles in internet addiction, and totally 51 percent of variances predicted the internet addiction (F=29.97; P=0.001).

Conclusion: The internet addiction of university students is dependent upon their mental health and personality, and one can predict the internet addiction of students via subscales of mental health and personality.

Dr Mahsa Saadati,
Volume 5, Issue 2 (2-2018)

Background & Objective: Migration, in any forms and by any motivations or outcomes, as a demographic phenomenon, has various cultural and socio-economic effects on local, regional, national and international levels. On the other hand, fertility plays an important role in health and population studies and researchers have examined its changes and trends in various aspects. The aim of this research was modeling the mean number of children ever born (CEB) for women who have left their cities or villages and migrated to Tehran city using regression tree model.
Methods: Data was obtained from 2% of raw data from the census of 2011 and analyzed by regression tree model. Tree models are nonparametric statistical techniques which do not need complicated and unreachable assumptions of traditional parametric ones and have a considerable accuracy of modeling. These models are associated with simple interpretation of results. Therefore, they have been used by researches in many fields such as social sciences.
Results: Age, educational level, job status, cause of migration, internet use for urban migrant women and age for rural migrant women were assumed as influential covariates in predicting the mean number of CEB.
Conclusion: Regression tree findings revealed that urban migrants who were in higher age groups, lower educational levels, unemployed and have not used internet have had more mean number of CEBs.

Dr Babak Moeini, Hamid Abbasi, Maryam Afshari, Morteza Haji Hosseini, Soheila Rashidi,
Volume 6, Issue 1 (6-2018)

Background and objectives: Admission to university is an important event in the life of youth in every country. Homesickness is one of the most significant issues faced by university students during their education life. The present study aimed to determine the association between homesickness, happiness and the related factors in the dormitory students in Hamadan University of Medical Sciences, Iran.
Methods: This cross-sectional, descriptive-analytical study was conducted on 387 dormitory students at Hamedan University of Medical Sciences in Hamedan, Iran during February-March 2015. Subjects were selected via stratified random sampling with proportional allocation. Data were collected using self-report and using demographic and contextual questionnaires, Fenfelit homesickness questionnaire, and oxford happiness questionnaire. Data analysis was performed in SPSS version 23 using Pearson’s correlation-coefficient and general linear model (GLM) at the significance level of 0.05.
Results: The mean score of homesickness in both genders had a significant difference (P=0.009). In addition, the mean score of happiness differed in terms of economic status. Homesickness was negatively correlated with the happiness score, so that increased homesickness was associated with reduced happiness. Variables of homesickness, age, internet use, maternal education, health status, economic status, and education level could significantly predict happiness.
Conclusion: Mental health of students in dormitories is of paramount importance. Therefore, interventions and preventive programs must recognize the causes of happiness, and appropriate interventions should be developed and implemented based on the influential factors in this regard.

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