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Showing 3 results for Moghaddam

Alireza Azizi, Parvaneh Mohammadkhani, Abbas Pourshahbaz, Behrouz Doulatshhi, Saba Moghaddam,
Volume 16, Issue 2 (June 2018)
Abstract

Objectives: The associations between emotional skills encompassed in emotion regulation model and psychopathology were examined by investigating its ability to modify the emotion-mediated association between other emotion regulation skills and psychopathology. 
Methods: A total of 465 students were selected using proposal sampling method. Data were collected using Emotion Regulation Skill Questionnaire (ERSQ) and Brief Symptom Inventory (BSI). Data were analyzed using bootstrapping-enhanced mediation analysis that considered the ability to modify emotions as a mediator, psychopathology as dependent, and other emotional skill as independent and Pearson’s correlation coefficient.
Results: A significant negative correlation was established between emotional skills and psychopathology in a range from 0.13 (bodily perception of sensations) to 0.31 (modification) (ρ=-0.31, P˂0.01). The total effect for the variables of clarity, understanding, acceptance and tolerance, confrontation, self-support, attention, and sensation was significant at P<0.05, thereby rendering the mediation analysis plausible. The indirect effect of all variables was also significant. Therefore, all the variables have partial mediating effects. The direct effect of the variable of attention, sensation, and understanding on the psychological disturbances was not significant (P>0.05), and modification between these three skills and psychopathology exerted a complete mediating effect. The direct impact of emotional clarity, acceptance and tolerance, confrontation, and self-support was significant. Thus, emotion modification between the skills of emotional clarity, acceptance and tolerance, confrontation, and self-support with psychological disturbance had partial mediating effects.
Discussion: The ability to modify emotions is the pathway through which other emotional skills might exert their influence on the mental health.

Nastaran Habibi, Mahboobe Firoozkoohi Moghaddam, Elham Salari, Nasrin Dodangi, Ramin Radfar, Mandana Sadeghi, Hamed Bahari, Mona Eslami, Alireza Noroozi, Omid Massah, Elaheh Ahounbar, Ali Farhoudian,
Volume 16, Issue 4 (December 2018)
Abstract

Millions of children are left to survive on the streets around the world. Investigations on drug use disorders among street children reveal that they not only abuse all types of drugs higher than their peers who live at home or in shelters, but also they abuse more harmful drugs such as injection drugs or methamphetamines. This guideline provides a comprehensive approach to the treatment and management of substance use disorders among children of 3 to 18 years of age for the staff of substance use disorder clinics. It highlights examples of how to perceive and approach the management and issues of substance abuse among street children at an early stage of development through various medical, psycho-social, and other interventions. It also defines the characteristics of the street children with a focus on prevention. These provisions consist of addressing the applicability matters in this area and necessity of a decision model in our country.

Reza Noori, Nasim Khajavian, Leila Sadeghmoghadam, Fatemeh Hosseini Moghaddam, Moosa Sajjadi, Maryam Moradi, Hamideh Mohammadzadeh,
Volume 21, Issue 4 (December 2023)
Abstract

Objectives: Patient falls are highly prevalent in hospitals, and are considered a complicated challenge. Thus, the present research assessed the prevalence of the fall risk assessment and the correlated factors among elderly inpatients.
Methods: The present analytical and cross-sectional research was conducted with 419 elderly patients meeting the inclusion criteria. The data collection instrument consisted of two parts including demographic information and the Johns Hopkins fall risk assessment tool (JHFRA). A convenience sampling method was used to select the elderly patients staying in the general wards of Allameh Bohlool Gonabadi Hospital, Gonabad City, Iran. The data analysis was done in SPSS software, version 23 using descriptive (frequency, Mean±SD) as well as inferential statistics (logistic linear regression analysis).
Results: The Mean±SD of participants’ age was 72.09±9.46 and the prevalence of the fall risk was 85.9%. Statistically significant correlations were found between the elderly inpatients’ fall risk and their age (P=0.001), sex (P=0.012), and cardiovascular diseases (P=0.001).
Discussion: Considering the high prevalence of fall risk among elderly inpatients, it is essential to plan for preventing and reducing the rate of elderly inpatients’ falls.


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