Search published articles


Showing 2 results for Adolescents
Obesity Among Female Adolescents Of Tehran Schools 
Masumeh Shakeri, Yusef Mojtahedi, Javad Naserian, Maryam Moradkhani,
Volume 6, Issue 5 (1-2013)
Abstract

Background and Aim: Obesity in childhood can cause obesity and its related complications in adulthood. This study was aimed to determine the correlateion between obesity among female adolescents and its related complications of Tehran schools in 2011.

Materials and Methods: In this cross-sectional study, 810 female adolescents, aged 12-16 years old, studying in schools of Tehran University of Medical Sciences were selected using multi-stage random sampling. Height and weight of the participants were measured and their BMI calculated. Data were collected using a questionnaire. Validity and reliability of the questionnaire was confirmed using content validity and test-retest. Using BMI, the participants were categorized into obese(BMI>95 percentile for age and gender) and overweight(BMI between 85 and 95 percentiles for age and gender) individuals. Data were analyzed using the Chi-squared test, Fisher's exact test, ANOVA, and multivariate logistic analysis.

Results: The prevalence of overweight and obesity in our study were 4.4%(95% CI 4/2-6/4) and 14/1%(95% CI 10/25-15/3), respectively. There was a statistically significant relationship between obesity and TV watching(p<0.001).

Conclusion: Based on our findings, further investigations are recommended to determine factors affecting overweight.


Data Elements for Screening Major Depression in Ages 10 To 25 Using a Clinical Decision Support System
Leila Shahmoradi, Niloofar Kheradbin, Ahmad Reza Farzanehnejad, Niloofar Mohammadzadeh, Atefeh Ghanbari Jolfaei,
Volume 16, Issue 2 (5-2022)
Abstract
Background and Aim: Identifying risk factors is recommended as the first step for depression management in children and adolescents. This study aims to determine the data elements required for developing a clinical decision support system for screening major depression in young people.
Materials and Methods: This research was a descriptive-analytical study. The research population included a variety of mental health specialists that were both psychologists and students in psychiatry and guidance & counseling majors as well as electronic databases including Scopus, Pubmed, Embase, PsychInfo, WOS and Clinical key. The data collection tool was a questionnaire designed in three main sections which was answered by a convenient sample of 8 people who were specialists in the field. To analyze the extracted data Content Validity Ratio (CVR) and Mean measures were calculated for each item in questionnaire. Content Validity Index (CVI) and Cronbach’s Alpha (using SPSS software) were calculated which were equal to 0.74 and 0.824 respectively which confirmed validity and reliability of the research tool. 
Results:  According to Lawshe’s table, data elements with CVR between 0 and 0.75 and Mean less than 1.5, like “Ethnicity and race” (CVR=-0.25, Mean=1.125), were rejected. Items such as “Gender” (CVR=0.5) with a CVR equal to or less than 0.75, as well as items with a CVR between 0 and 0.75 and a Mean equal to or more than 1.5, like “Marital status” (CVR=0.5, Mean=1.625) were retained and considered to be included as the minimum data set for screening major depression in ages 10 to 25 years. Data elements were categorized in three categories: Demographic, Clinical and Psychosocial
Conclusion: Clinical decision support systems can facilitate providing healthcare at different levels such as screening major depression. These systems can be used for screening major depression risk factors to improve accessibility to mental health practitioners, assure the implementation of guidelines and provide a common language between different levels of healthcare. Determining the minimum data set for screening major depression in ages 10 to 25 years, is the first step toward developing a clinical decision support system for screening individuals for major depression.

Page 1 from 1     

© 2024 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb