Showing 6 results for Adolescent
Z Sepehrmanesh, A Ahmadvand, P Yavari, R Saei,
Volume 4, Issue 2 (9-2008)
Abstract
Background & Objectives: Adolescence is an important period of human development. Developmental traits in this period could be predisposing to behavioral problems, delinquency substance abuse and mental disorder. So this survey was designed to study the mental health status of adolescence in Kashan .
Methods: This cross sectional study involved 400 adolescent from Kashan high schools. They were chosen through randomized stratified sampling. SCL-90-R Questionnaire was used. Demographic information such as age, sex, birth order, history of addiction and any mental disorders ,educational level, age of parent were also asked . Descriptive and analytic statistics were done by SPSS software.
Results: Overall 10% of the high school adolescents had mental disorders. Common psychopathology demonstrations were as follows: Paranoid thought, interpersonal sensitivity, depression, anxiety, and aggression. There were significant relation between family history of addiction and mental disorder, history of physical abuse and age of adolescence with mental health (p<0/05). Total GSI in boys who were substance abuse was 1.9 while in boys who were not was 0.87 (p <0.05). There was not statically significant relation between total mean of GSI and gender however there were statistically significances between girls and boys in interpersonal sensitivity, depression, anxiety and depression.
Conclusion: The responsible authorities should take steps in addressing these problems by initiating School Counseling Centers and also by including study material in the field of psychiatry and psychology in the adolescent students school curriculum.
A Mohammadpoorasl, A Fakhari , F Rostami , M Shamsipour ,
Volume 5, Issue 4 (3-2010)
Abstract
Background and objective: Cigarette smoking in adolescent population seems a major public health issue. The goal of the present study was to identify the effect of socio-personal factors on transitions in the adolescent smoking.
Methods: A total of 1785 students were assessed twice during 12 months. with respect to stage of change. The predictor variables were measured when the students were in the 10th grade. Logistic regression was used to predict different smoking stages at grade 11.
Results: At the end of follow-up, 14.3 percent of non-smokers have had smoking experiment, and 16.5 percent of smokers have showed to be the regular smokers. Among non smokers, using alcohol, friendship with smoker group were predictors of being regular smokers.
Conclusion: Smoking prevention program should begin in adolescent age group.
E Masoudnia,
Volume 8, Issue 4 (3-2013)
Abstract
Background & Objectives: The etiology of adolescent’s depression is very complex one of variables that has been paid more attention in recent years is using modern communication technology particularly internet. The aim of this study was to determine the relationship between problematic cyberspace use and adolescent's depression disorder in Yazd city.
Methods: A total of 535 (218 male and 317 female) high school students were recruited. Internet Addiction Test (IAT) and Child Depression Inventory (CDI) were used to evaluate the presence and severity of problematic internet use and also depression.
Results: Approximately twenty-two percent adolescents (21.7%) met the criteria for problematic cyberspace use. The presence of problematic cyberspace use was significantly associated withdepression, generally
(P < 0.01) and its components: Sadness/Somatic Worries (P < 0.01) Negative Self-Image/ pessimism
(P < 0.01) self-blame (P < 0.01) lethargy (P < 0.01) and isolation (P < 0.01). Hierarchical multiple linear regression analysis showed that problematic cyber use, explained for 23.7% of the variance of depression.
Conclusion: Problematic cyber use is a powerful risk factor for adolescent's mood health and increase the risk of depression disorder among adolescents. Therefore, in order to prevention of negative effects of problematic cyber use on adolescents mood health, behavioral and cognitive interventions to change cyberspace use pattern is seems necessary.
M Habibi, Kh Moradi, M Pooravari, S Salehi,
Volume 11, Issue 1 (6-2015)
Abstract
Background & Objectives: This study examined the prevalence of behavioral disorders in middle and high school students in the Province of Qom.
Methods: A cross-sectional descriptive design was employed to investigate 762 students (382 middle and 380 high school students) who were selected through a multi-stage cluster sampling method. Data collection was performed suing the Woodworth Personal Data Sheet (WPDS), and the data were analyzed using descriptive statistics and chi-square test.
Results: The finding showed that the prevalence of behavioral problems in the total sample, and middle and high school students was 19.82, 22.72, and 17.1%, respectively. The prevalence of behavioral problems was higher in boys versus girls, is the middle school versus the high school, and in urban areas versus rural areas. The aggressive disorder and obsessive-compulsive disorder – Psychasthenia had the highest and lowest prevalence in both the middle and high school students, respectively. The educational level of students, parental education, parental divorce, parental death, and family income had significant relationships with behavioral disorders.
Conclusion: The prevalence of behavioral problems in the Province of Qom was found to be in the middle range in comparison with other studies conducted within and outside the country. However, attention should be paid to mental health policy-making in adolescents to decrease behavioral problems and prevent future issues.
Z Alinesaei, Z Hosseinkhani,
Volume 18, Issue 1 (5-2022)
Abstract
Background and Objectives: Children, especially adolescents, are one of the main victims of domestic violence, who have received less attention despite their vulnerability to this social problem. This study was conducted to determine the adolescents' perspectives and experiences of domestic violence and parental disputes in order to improve our understanding of the various aspects of this social problem for planning the necessary measures to reduce it.
Methods: The present qualitative study was performed with a content analysis approach. The data were collected using semi-Structural interviews. The participants were students aged 12 to 16 years. Purposeful sampling with maximum variation in terms of socioeconomic status, age and gender was performed. In total, 33 interviews were conducted by two interviewers.
Results: A total of 4 categories, 11 subcategories and 120 themes were extracted as the adolescents' experiences. By summarizing and combining similar themes, the main categories included adolescents' psychological reactions and activities at home and in the school, domestic violence outcomes and cause of violence. The most important cause of violence was socio-economic status of the family, especially father's unemployment. Adolescents who had experienced domestic violence had higher tendencies toward high-risk behavior and academic failure.
Conclusion: According to adolescents' views, socio-economic factors play an important role in the occurrence of domestic violence and can lead to unpleasant social experiences and social harms in their future lives. Therefore, it is necessary for parents, teachers, and policy makers to adopt effective measured to reduce this social problem.
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.
