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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.

Investigating the Effect of Fasting on the Mental Health of Nursing Students
Mina Shirvani, Mostafa Roshanzadeh, Maryam Rabiey Faradonbeh, Razieh Mirzaeian,
Volume 18, Issue 2 (5-2024)
Abstract
Background and Aim: Nursing students are exposed to various educational, family, and social stresses and various factors can affect their mental health. Therefore, in order to pay attention to different dimensions of health and investigate the effects of spirituality on health, the present study was conducted to determine the effect of fasting on the mental health of nursing students of Borujen Faculty of Medical Sciences.
Materials and Methods: The present semi-experimental study with a pre-test-post-test design was conducted in 2022 at Shahrekord University of Medical Sciences. Ninety nursing students of Borujen Faculty of Medical Sciences were selected by available methods and assigned to two intervention and control groups by a simple random method. The intervention in this study included at least 23 days of fasting during Ramadan. The data before and after the intervention were collected by the demographic information questionnaire and the 21-question depression, anxiety, and stress standard tool (DASS). The validity and reliability of this questionnaire were conducted for the first time in Iran by Sahebi et al. in 2005. SPSS  was used for analysis. Descriptive statistical tests including frequency percentage, mean and standard deviation, and inferential statistical tests including t-test, paired t-test, analysis of variance, and chi-square were used.
Results: There was no significant difference in the total mental health score between intervention (32.32±11.62) and control (29.87±14.09) groups before the intervention (P=0.08). There was a significant difference in this score between intervention (20.6±5.71) and control (29.49±8.9) groups after the intervention (P=0.04). The total mental health score in the control group before (29.87±14.09) and after (29.49±8.9) the intervention had no significant difference (P=0.15); while in the intervention group before (32.32±11.62) and after (20.6±5.71) the intervention had a significant difference (P=0.001). Mental health dimensions before and after intervention, indicated that anxiety (P=0.04) and stress (P=0.003) decreased significantly after the intervention in the intervention group. However, there was no significant difference in the depression dimension (P=0.06).
Conclusion: According to the results, it should be said that regular and periodic examination of the health level, and the promotion of educational and training programs on the subject of fasting to improve mental health, should be considered.

The Effectiveness of Cognitive-Behavioral Therapy by Group Method on The Amount of Stress, Anxiety and Depression and Pain Intensity of Patients with Chronic Musculoskeletal Pain
Akram Hemmatipour, Fatemh Karimi, Azam Jahangirimehr, Elham Abdolahi Shahvali, Mehdi Makvand,
Volume 18, Issue 6 (2-2025)
Abstract
Background and Aim: One of the most important medical problems in the whole world is chronic pain, which affects millions of people every year and they are not provided with proper treatment. Research shows that one of the consequences of chronic pain is emotional reactions such as anxiety, depression, and stress that occur due to the long-term effects of pain. Therefore, the aim of the present study is to determine the effectiveness of cognitive-behavioral therapy on the mental health and pain intensity level of patients with chronic pain.
Materials and Methods: In this semi-experimental study, 126 patients with chronic musculoskeletal pain and having entry and exit criteria from physiotherapy centers under the supervision of Shoushtar Medical Sciences Faculty were randomly divided into two groups of 63 intervention and control. The intervention group received the intervention based on cognitive behavioral therapy for three months and 12 educational sessions. The patients of both groups completed the data collection tool, which included the numerical pain questionnaire (VAS) and the stress, anxiety and depression level questionnaire DASS21, before the intervention and one week after the completion of the educational intervention. To analyze the data, descriptive and parametric tests (paired t and independent t), Pearson correlation and covariance analysis were used using SPSS software.
Results: The average age of the participants was (46.12±27.16) years. The effectiveness of cognitive-behavioral therapy was associated with a significant reduction in stress, anxiety, and depression levels (P<0.001) only in the intervention group, and this reduction was seen in the levels of stress (P=0.032), anxiety (P=0.030), and depression (P=0.015) compared to the control group. A significant reduction in pain intensity was observed in both groups (P<0.001). However, this reduction in the intervention group was not statistically different from the control group (P>0.05). Also, there was no significant correlation between the levels of stress, anxiety, and depression and pain disability (P<0.05).
Conclusion: The findings of the present study emphasize the importance of using cognitive behavioral therapy in a group setting to treat stress, anxiety, depression, and pain intensity in patients with chronic musculoskeletal pain.

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