Mely Ruiz-Aquino¹, Viter Gerson Carlos Trinidad^1,2, Aldo Alvarez-Risco³, Jaime A. Yáñez^4,5,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 959-974, 2022, DOI:10.32604/ijmhp.2022.021172

Abstract The general objective of this article was to construct and describe the psychometric properties of a scale of selfcare behaviors against COVID-19. It was a descriptive, cross-sectional, psychometric validation study of a scale created to measure self-care behaviors in relation to COVID-19 in a total sample of 333 probabilistically selected. Qualitative validity was evaluated by a review of 10 experts and quantitative validity by means of exploratory factor analysis using the principal components method. Internal consistency was measured with Cronbach’s alpha twice and the test-retest was evaluated by calculating the intraclass coefficient. The final scale consisted of 29 items. The… More >

Rofingatul Mubasyiroh^1,*, Indri Yunita Suryaputri¹, Sri Idaiani², Lely Indrawati¹, Tri Wurisastuti¹, Siti Isfandari¹, Nikson Sitorus¹, Enung Nurhotimah³, Felly Philipus Senewe¹

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 725-737, 2022, DOI:10.32604/ijmhp.2022.021452

Abstract The extraordinary situation related to COVID-19 makes people worry about their health, family health, work, finances, and other daily activities. This condition can lead to social unrest, which has consequences for mental health problems. This study aims to determine the mental health consequences at the beginning of the COVID-19 pandemic in Indonesia. This is a cross-sectional study involving a target population aged 18 years and over who had access to electronic communication devices. An online questionnaire was randomly distributed and snowballed throughout 34 provinces in Indonesia. The study was conducted from 2 to 4 May 2020. Non-parametric and multivariate linear… More >

Shuna Peng¹, Xiaohong Luo¹, Shiyu Liang¹, Fengning Deng¹, Yuning Liu², Hong Zeng^1,*, Xuesong Yang^3,*

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 711-724, 2022, DOI:10.32604/ijmhp.2022.020556

Abstract Background: The coronavirus (COVID-19) outbreak in 2019 triggered psychological and emotional responses. This research investigates the psychological status and emotional problems of those who sought psychological assistance during the epidemic period by calling a mental health hotline. Methods: This study aims to combine qualitative and quantitative research. Descriptive analysis was used for undertaking qualitative research. We analyzed the data from group 1 (n = 706), in which the people used the mental health hotline from 25 January 2020 to 23 June 2020. A self-designed questionnaire was developed in accordance with the classification and summarized items from group 1’s psychological problems… More >

Jamie Penno^*, Sarah Hetrick, Grant Christie

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 771-781, 2022, DOI:10.32604/ijmhp.2022.020090

Abstract The mental health of New Zealand’s adolescents is, by global standards, remarkably poor. Addressing such mental health needs is not only pertinent with regards to the quality of life of our young people, but also the health of our society as a whole, with current unmet youth mental health needs becoming future adult population health deficits. While an array of evidence-based psychotherapies are available as treatment, our knowledge of the mechanism of actions underlying each of these is lacking. We propose that the practice of goal setting as a therapeutic technique may represent not only a common element across these… More >

Xiaoqing Hu¹, Yan Tang^1,2,*

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 783-793, 2022, DOI:10.32604/ijmhp.2022.018332

Abstract Objective: To explore the associations between physical education attendance and mental health indicators. Methods: Using data from the Global Student Health Survey, the frequency of physical education attendance, suicidality-related indicators, loneliness, bullying, and anxiety were all assessed using a standardized self-reported questionnaire. Multivariable logistic regression was used to estimate the association between physical education attendance and mental health-related indicators. Results: The study included 276,169 participants from 71 countries (47.3% males, aged 11–18 years old). After controlling for sex, age, food insecurity, close friends, physical activity, sedentary time, others’ help, and parents’ understanding, physical education attendance was not signifi- cantly associated… More >

Nasser Ali Aljarallah^1,2, Ashit Kumar Dutta^3,*, Majed Alsanea⁴, Abdul Rahaman Wahab Sait⁵

Computer Systems Science and Engineering, Vol.44, No.2, pp. 1853-1868, 2023, DOI:10.32604/csse.2023.028755

Abstract A learning management system (LMS) is a software or web based application, commonly utilized for planning, designing, and assessing a particular learning procedure. Generally, the LMS offers a method of creating and delivering content to the instructor, monitoring students’ involvement, and validating their outcomes. Since mental health issues become common among studies in higher education globally, it is needed to properly determine it to improve mental stability. This article develops a new seven spot lady bird feature selection with optimal sparse autoencoder (SSLBFS-OSAE) model to assess students’ mental health on LMS. The major aim of the SSLBFS-OSAE model is to… More >

Hisham A. Ramy, Soheir H. Elghonemy, Nesreen M. Mohsen, Safi M. Nagib^*, Mohamed Y. Mohamed

International Journal of Mental Health Promotion, Vol.24, No.4, pp. 539-550, 2022, DOI:10.32604/ijmhp.2022.020108

Abstract Many children with mental health problems in Egypt, as in many other countries, do not receive the help they need. Investigating the pathways of care is crucial for the early detection and treatment of these children. This study examined referral patterns and the duration of untreated psychiatric illness of 350 children attending two urban clinical settings in Egypt. Diagnoses were made using the Kiddie Schedule for Affective Disorder and Schizophrenia for School-aged children present and lifetime (K-SADS-PL), Child behavior checklist (CBCL,) and the Stanford-Binet Intelligence Scale. For 46.3%, the most distressing symptom was behavioral problems. A delay in seeking psychiatric… More >

Jiaqi Yang¹, Yanwen Zhang², Peng Li^2,3,4, Huan Zhang^2,3,4, Tour Liu^2,3,4,*

International Journal of Mental Health Promotion, Vol.24, No.4, pp. 603-618, 2022, DOI:10.32604/ijmhp.2022.019406

Abstract The study aimed to investigate the influence of academic stressors on mental health and the mediating effect of social support and self-identity among college students and further studied the difference between the graduating students and non-graduating students during the COVID-19 Pandemic. Recruiting 900 college students as subjects, used the college students’ academic stressors questionnaire, social support questionnaire, self-identity scale and depression anxiety stress scales (DASS-21). The results showed that: (1) The college students’ academic stressor positively predicted mental health; (2) Social support and self-identity mediated the relationship; (3) The model also held when academic stressors was replaced by work stressor,… More >

Shyla Del-Aguila-Arcentales¹, Aldo Alvarez-Risco², Diego Villalobos-Alvarez³, Mario Carhuapoma-Yance⁴, Jaime A. Yáñez^5,6,*

International Journal of Mental Health Promotion, Vol.24, No.4, pp. 503-509, 2022, DOI:10.32604/ijmhp.2022.020513

Abstract The general objective of this article is to show the relationship that exists in the COVID-19 pandemic, the mental health of people and the propensity for work-related accidents in companies. Various results are shown that detail how COVID-19 has generated and is generating mental alterations in people such as post-traumatic stress disorder, PTSD for its acronym in English. Likewise, data are presented that report the influence of mental health as a precursor to workplace accidents in different industries, with which it can be concluded that COVID-19 needs a comprehensive approach in companies to prevent it from negatively impacting workers and… More >

Elias Hossain¹, Abdulwahab Alazeb^2,*, Naif Al Mudawi², Sultan Almakdi², Mohammed Alshehri², M. Gazi Golam Faruque³, Wahidur Rahman³

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4945-4966, 2022, DOI:10.32604/cmc.2022.027058

Abstract Depression is a crippling affliction and affects millions of individuals around the world. In general, the physicians screen patients for mental health disorders on a regular basis and treat patients in collaboration with psychologists and other mental health experts, which results in lower costs and improved patient outcomes. However, this strategy can necessitate a lot of buy-in from a large number of people, as well as additional training and logistical considerations. Thus, utilizing the machine learning algorithms, patients with depression based on information generally present in a medical file were analyzed and predicted. The methodology of this proposed study is… More >