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  • Open Access

    REVIEW

    Does young feces make the elderly live better? Application of fecal microbiota transplantation in healthy aging

    YUANYUAN LIAO1,2,3, XINSI LI2,3, QIAN LI2,3, YIZHONG WANG4, XIUJUN TAN1,2,3, TING GONG2,3,5,*

    BIOCELL, Vol.48, No.6, pp. 873-887, 2024, DOI:10.32604/biocell.2024.050324

    Abstract As we are facing an aging society, anti-aging strategies have been pursued to reduce the negative impacts of aging and increase the health span of human beings. Gut microbiota has become a key factor in the anti-aging process. Modulation of gut microbiota by fecal microbiota transplantation (FMT) to prevent frailty and unhealthy aging has been a hot topic of research. This narrative review summarizes the benefits of FMT for health span and lifespan, brains, eyes, productive systems, bones, and others. The mechanisms of FMT in improving healthy aging are discussed. The increased beneficial bacteria and More >

  • Open Access

    ARTICLE

    Association between Meeting 24-Hour Movement Guidelines and Psychological Features of Chinese Emerging Adults

    Yanjie Zhang1,2, Jin Kuang3, Xun Luo1,2, Mengxian Zhao4, Xiaolei Liu5,*

    International Journal of Mental Health Promotion, Vol.26, No.5, pp. 399-406, 2024, DOI:10.32604/ijmhp.2024.048925

    Abstract Background: Emerging adulthood is a pivotal life stage, presenting significant psychological and social changes, such as decreased sociability, depression, and other mental health problems. Previous studies have associated these changes with an unhealthy lifestyle. The 24-h movement guidelines for healthy lifestyles have been developed to promote appropriate health behaviors and improve individual wellness. However, the relationship between adherence to the 24-h movement guidelines and different characteristics of Chinese emerging adults is yet to be explored. This cross-sectional study aimed to investigate the association between adherence to the 24-h movement guidelines and four characteristics (self-exploration, instability, possibilities,… More >

  • Open Access

    ARTICLE

    Exploring the Prevalence and Contributing Factors of Depression among Sickle Cell Anemia Patients in Saudi Arabia’s Jazan Region

    Abdullah A. Alharbi1, Ahmad Y. Alqassim1,*, Mohammed A. Muaddi1, Najat H. Aldubayyan1, Rana I. Abuhadi1, Futon A. Akoor1, Sarah J. Mobarki1, Imtenan A. Oberi1, Ghaidaa H. Alharbi1, Yara Ajeebi1, Adnan M. Alkhayat2, Hafiz Malhan3, Mohammed Bakkar4, Anwar M. Makeen1

    International Journal of Mental Health Promotion, Vol.26, No.5, pp. 351-359, 2024, DOI:10.32604/ijmhp.2024.047219

    Abstract Sickle Cell Anemia (SCA) is a prevalent genetic condition in Saudi Arabia, particularly in the Jazan region. The study’s purpose was to assess the prevalence of de-pression among individuals with SCA in this area and to identify the factors associated with this condition. The study involved 391 adult participants, all patients in the hematology center of Prince Mohammed bin Nasser Hospital (PMNH). Data was collected through an anonymous interview questionnaire–the Arabic version of the Patient Health Questionnaire-9 (PHQ-9)–between March–May 2022. The questionnaire covered socio-demographic information and variables related to the participant’s SCA history, such as… More >

  • Open Access

    ARTICLE

    Analyzing COVID-19 Discourse on Twitter: Text Clustering and Classification Models for Public Health Surveillance

    Pakorn Santakij1, Samai Srisuay2,*, Pongporn Punpeng1

    Computer Systems Science and Engineering, Vol.48, No.3, pp. 665-689, 2024, DOI:10.32604/csse.2024.045066

    Abstract Social media has revolutionized the dissemination of real-life information, serving as a robust platform for sharing life events. Twitter, characterized by its brevity and continuous flow of posts, has emerged as a crucial source for public health surveillance, offering valuable insights into public reactions during the COVID-19 pandemic. This study aims to leverage a range of machine learning techniques to extract pivotal themes and facilitate text classification on a dataset of COVID-19 outbreak-related tweets. Diverse topic modeling approaches have been employed to extract pertinent themes and subsequently form a dataset for training text classification models.… More >

  • Open Access

    EDITORIAL

    Health Systems Strengthening to Tackle the Global Burden of Pediatric and Congenital Heart Disease: A Diagonal Approach

    Dominique Vervoort1,2,3,*, Amy Verstappen3, Sreehari Madhavankutty Nair4, Chong Chin Eu5, Bistra Zheleva3,6

    Congenital Heart Disease, Vol.19, No.2, pp. 131-138, 2024, DOI:10.32604/chd.2024.049814

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    MAIPFE: An Efficient Multimodal Approach Integrating Pre-Emptive Analysis, Personalized Feature Selection, and Explainable AI

    Moshe Dayan Sirapangi1, S. Gopikrishnan1,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2229-2251, 2024, DOI:10.32604/cmc.2024.047438

    Abstract Medical Internet of Things (IoT) devices are becoming more and more common in healthcare. This has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized way. Existing methods, while useful, have limitations in predictive accuracy, delay, personalization, and user interpretability, requiring a more comprehensive and efficient approach to harness modern medical IoT devices. MAIPFE is a multimodal approach integrating pre-emptive analysis, personalized feature selection, and explainable AI for real-time health… More >

  • Open Access

    ARTICLE

    Fortifying Healthcare Data Security in the Cloud: A Comprehensive Examination of the EPM-KEA Encryption Protocol

    Umi Salma Basha1, Shashi Kant Gupta2, Wedad Alawad3, SeongKi Kim4,*, Salil Bharany5,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3397-3416, 2024, DOI:10.32604/cmc.2024.046265

    Abstract A new era of data access and management has begun with the use of cloud computing in the healthcare industry. Despite the efficiency and scalability that the cloud provides, the security of private patient data is still a major concern. Encryption, network security, and adherence to data protection laws are key to ensuring the confidentiality and integrity of healthcare data in the cloud. The computational overhead of encryption technologies could lead to delays in data access and processing rates. To address these challenges, we introduced the Enhanced Parallel Multi-Key Encryption Algorithm (EPM-KEA), aiming to bolster… More >

  • Open Access

    ARTICLE

    Experience of Mental Health Professionals Collaborating with Peer Supporters in a Community Mental Health Service Team

    Sowon Lee1, Boyoung Kim1,*, Chung Kil Park2,*

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 251-260, 2024, DOI:10.32604/ijmhp.2024.048803

    Abstract This study explored how mental health professionals collaborate with peer supporters with mental disabilities in a community mental health institution. From January 19 to February 23, 2021, three 60 min interviews were conducted with six mental health professionals working at a Korean community center. The results were qualitatively analyzed and divided into four themes and eight categories. The four themes were the perceptions of and challenges in working with peer supporters with mental disabilities, conflict and confusion about working with peer supporters, forming partnerships with peer supporters, and policy support for peer supporters’ job security.… More >

  • Open Access

    ARTICLE

    Validity and Reliability of a Mental Health Recovery Checklist for Young Adults

    Brianna Cerrito1,*, Jamie Xiao1, Amie DiTomasso1, Amanda Fialk1, Jocelyn Bolin2

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 317-323, 2024, DOI:10.32604/ijmhp.2024.047876

    Abstract The purpose of the present study is to evaluate the internal consistency and construct validity of a self-report checklist measuring clinical mental health recovery across six key domains: family and relationships, occupation and school, physical health, mental health, spirituality, and social support systems. The Mental Health Recovery Checklist (MHRC) was developed at The Dorm, an intensive outpatient mental health treatment program for young adults in New York, NY, and Washington DC that services individuals between the ages of 18 and 35 years old. The present study is cross-sectional, as data were pulled from clients’ records… More >

  • Open Access

    ARTICLE

    How Emotion Nurtures Mentality: The Influencing Mechanism of Social-Emotional Competency on the Mental Health of University Students

    Yulei Chen1, Zhaojun Chen1,2, Shichao Wang1, Yang Hang1, Jianpeng Guo1,*

    International Journal of Mental Health Promotion, Vol.26, No.4, pp. 303-315, 2024, DOI:10.32604/ijmhp.2024.046863

    Abstract Social-Emotional Competency (SEC), regarded as a critical psychological resource for individuals to adapt to social environments, is an effective protective factor for students’ mental health, impacting their future success and well-being. Analyzing the impact of SEC on university students’ mental health can offer valuable insights for nurturing talents with healthy psychological and physical development. Based on data from two large-scale surveys of Chinese university students, this study designed two comprehensive Multiple Mediation Models involving SEC, stress, coping strategies, and stress reaction to explore the pathway of emotion nurturing mentality. Study 1 utilized a parallel mediation model… More >

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