Yeo-Won Jeong¹, Jung-Ha Kim^2,*, Hyun-Kyeong Park³

International Journal of Mental Health Promotion, Vol.25, No.7, pp. 813-821, 2023, DOI:10.32604/ijmhp.2023.027383

Abstract Background: The occurrence of mental health symptoms is higher in individuals aged between 18 and 24 years than in other age groups. Mental health literacy is derived from health literacy, and focuses on the knowledge, attitudes, and competencies that individuals need to acquire to manage their own health effectively. Low mental health literacy is associated with poorer mental health. Grit is also a known protective factor against mental disorders. Despite a heightened focus on mental health literacy and grit as important factors for decreasing mental health symptoms, knowledge of the effect of mental health literacy and grit on mental health… More >

A. Couillet, B. Mastroianni, J. Hailloud, M.-P. Le Bris, G. Chvetzoff

Psycho-Oncologie, Vol.16, No.1, pp. 182-191, 2022, DOI:10.3166/pson-2022-0183

Abstract Meditation workshops were offered to patients, and we observed their feasibility during their oncology care. They were adapted to Covid-19: one session face-to-face, the second by videoconference. Data were analyzed retrospectively. A mixed analysis was carried out: the quantitative part evaluated the participation in the workshops, the characteristics of the patients, and the impact of the workshops. The qualitative part focused on the appropriation of this tool by the patients. Concerning feasibility, 66.7% of patients completed the program without differences between face-to-face and videoconference groups. We find an improvement in mindfulness skills, a decrease in anxiety and physical pain, and… More >

M. Karoui, R. Kamoun, H. Nefzi, N. Marrakchi, H. Raies, A. Mezlini, K. Meddeb, F. Ellouze

Psycho-Oncologie, Vol.17, No.1, pp. 31-37, 2023, DOI:10.3166/pson-2022-0211

Abstract Aim: The objective of this study is to investigate the prevalence of depression and anxiety in women Tunisian population followed for breast cancer and to identify the socio-demographic, clinical, and of couple relationship factors associated with them.
Procedure: Cross-sectional study on 100 patients followed for confirmed breast cancer. A questionnaire on the sociodemographic, clinical, therapeutic, conjugal, and sexual characteristics of the couple was completed. The HADS (Hospital Anxiety and Depression Scale) was used for the detection of anxiety and depressive symptoms.
Results: A clinical score was found in 48% of cases for anxiety and 37% of cases for depression. Patients… More >

Meilin Huo^1,*, Zhen Yang²

International Journal of Mental Health Promotion, Vol.25, No.4, pp. 551-562, 2023, DOI:10.32604/ijmhp.2023.023406

Abstract Background: Depression and anxiety are highly prevalent among adolescents and have multiple negative effects on their physical and mental health. While exercise can reduce the symptoms of depression and anxiety, the relationship between mental disorders among American university students has been rarely reported. Accordingly, this study aimed to explore the association between exercise, depression and anxiety among American university students in the 2018–2019 academic year. Methods: In this cross-sectional study, the association between exercise, depression and anxiety was investigated in a large representative sample of American university students. In the 2018–2019 academic year, university students aged 18+ years old from… More >

Yue Yuan^1,*, Aibao Zhou^1,*, Tinghao Tang¹, Manying Kang², Haiyan Zhao¹, Zhi Wang³

International Journal of Mental Health Promotion, Vol.25, No.4, pp. 563-577, 2023, DOI:10.32604/ijmhp.2023.022161

Abstract Objective: In this research, we tried to explore how short-term mindfulness (STM) intervention affects adolescents’ anxiety, depression, and negative and positive emotion during the COVID-19 pandemic. Design: 10 classes were divided into experiment groups (5 classes; n = 238) and control (5 classes; n = 244) randomly. Hospital Anxiety and Depression Scale (HADS) and Positive and Negative Affect Schedule (PANAS) were used to measure participants’ dependent variables. In the experiment group, we conducted STM practice interventions every morning in their first class from March to November 2020. No interventions were conducted in the control group. Methods: Paired-sample t-tests were used to identify if a… More >

Roza Zadeh^#, Jigar Jogia^*

International Journal of Mental Health Promotion, Vol.25, No.3, pp. 309-326, 2023, DOI:10.32604/ijmhp.2023.022491

Abstract There are over thirty million refugees globally with severe experiences of trauma. Art therapy intervention allows for nonverbal expression and could alleviate mental health symptomatology among refugees. The present review’s aim was to integrate and summarize the previous research which examined the effects of visual arts on alleviating psychological conditions of refugees. However, due to the paucity of studies which solely used visual arts, we included studies that used visual arts alongside other modalities as part of an expressive arts therapy intervention. The present review synthesizes studies that examined the effect of art therapy on mental health issues of refugees… More >

Zhendong Wu¹, Chen Xu², Liyan Zhang³, Yang Wang⁴, George W. Leeson⁵, Gong Chen^4,*, Julien S. Baker⁶, Xiao-Guang Yue^7,8

International Journal of Mental Health Promotion, Vol.25, No.3, pp. 403-419, 2023, DOI:10.32604/ijmhp.2023.024638

Abstract Introduction:: Older adults are prone to high levels of depression due to their deteriorating physical functions and shrinking social networks after retirement. Volunteering as an important social activity is essential for alleviating depression by building social network. This paper aims to examine the effect of volunteering on depression among older adults by using China Longitudinal Aging Social Survey (CLASS 2018) data.Methods:: This study uses descriptive analysis and chi-square tests to show differences in demographic factors of older adults’ volunteerism participation, followed by bivariate correlation analysis to examine the correlation between the vital variables. Afterward, stratified linear regression analysis is used… More >

Jingjing Wang¹, Xiangli Guan^1,*, Yue Zhang², Yang Li¹, Md Zahir Ahmed³, Mary C. Jobe⁴, Oli Ahmed⁵

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 223-235, 2023, DOI:10.32604/ijmhp.2022.025570

Abstract Individuals’ perceptions, attitudes, and patterns of getting along with family members are important factors influencing Chinese people’s self-evaluation. The aim of this study was to investigate the effect of family cohesion on depression and the role of perceived social support and intentional self-regulation in this association. A hypothesized model of the association of family cohesion, perceived social support, intentional self-regulation, and depression was examined. A convenience sampling method was used to survey 1,180 college students in Yunnan Province using self-report. Data were collected using the Family Cohesion Scale, the Perceived Social Support Scale, the Intentional Self-Regulation Scale, and the Center… More >

Ali Alqazzaz¹, Mohammad Tabrez Quasim^1,*, Mohammed Mujib Alshahrani¹, Ibrahim Alrashdi², Mohammad Ayoub Khan¹

Computer Systems Science and Engineering, Vol.46, No.1, pp. 551-562, 2023, DOI:10.32604/csse.2023.031048

Abstract Facebook, Twitter, Instagram, and other social media have emerged as excellent platforms for interacting with friends and expressing thoughts, posts, comments, images, and videos that express moods, sentiments, and feelings. With this, it has become possible to examine user thoughts and feelings in social network data to better understand their perspectives and attitudes. However, the analysis of depression based on social media has gained widespread acceptance worldwide, other verticals still have yet to be discovered. The depression analysis uses Twitter data from a publicly available web source in this work. To assess the accuracy of depression detection, long-short-term memory (LSTM)… More >

Doaa Sami Khafaga¹, Maheshwari Auvdaiappan², K. Deepa³, Mohamed Abouhawwash^4,5, Faten Khalid Karim^1,*

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1301-1313, 2023, DOI:10.32604/iasc.2023.033360

Abstract Today social media became a communication line among people to share their happiness, sadness, and anger with their end-users. It is necessary to know people’s emotions are very important to identify depressed people from their messages. Early depression detection helps to save people’s lives and other dangerous mental diseases. There are many intelligent algorithms for predicting depression with high accuracy, but they lack the definition of such cases. Several machine learning methods help to identify depressed people. But the accuracy of existing methods was not satisfactory. To overcome this issue, the deep learning method is used in the proposed method… More >