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Showing 3 results for Mental Health

Monavar Moradian Sorkhkalaee, Hasan Eftekhar, Saharnaz Nejat, Narges Saeepour, Sima Esmaeel Shemirzadi,
Volume 1, Issue 1 (10-2012)
Abstract

Background and objective:

Students are the most dynamic people in the society and their health is to a great extent a prerequisite for the health of most individuals in the society. This study was conducted to investigate the state of mental health and factors which influence it in the students of Tehran University of Medical Sciences and Health Services.

Materials and Methods:

This descriptive-analytic study was conducted on 400 students of Tehran Medical Sciences University in the academic year 2010-2011. The number of studied subjects was determined according to the student population of each faculty and questionnaires were randomly distributed among them. The data collection tool in this study was the standard GHQ28 questionnaire. After collecting the data, analysis was done using SPSS.18 software, Chi-square test, T-test, and Regression Logestic.

Results:

25.52% of the attendants were healthy and 75.47% had suspected mental disorders. Also, regarding depression, 75.53% of people suffered from mental disorders and 25.46% were healthy.

Conclusion:

According to the achieved results, it seems that studying at university, facing educational problems and the existing conditions at university cause an increase in the rate of mental disorder among the students of Medical Sciences University.
Afshin Salahian, Hasan Gharibi, Neda Malekpour, Noshin Salahian,
Volume 3, Issue 2 (10-2015)
Abstract

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 Babak Moeini, Hamid Abbasi, Maryam Afshari, Morteza Haji Hosseini, Soheila Rashidi,
Volume 6, Issue 1 (3-2018)
Abstract

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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