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  • Open Access


    Properties of a Scale of Self-Care Behaviors Facing COVID-19: An Exploratory Analysis in a Sample of University Students in Huanuco, Peru

    Mely Ruiz-Aquino1, Viter Gerson Carlos Trinidad1,2, Aldo Alvarez-Risco3, Jaime A. Yáñez4,5,*

    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 >

  • Open Access


    Effectiveness of Half-Cut Wood Training of Close and Kinetic Chain Method on Mental Health and Physical Health of Patients with Knee Instability in China

    Jing Sun1,3,*, Youting Lin2, Yangyang Fan4, Samantha Ferguson3, Nicholas Buys3, Minyan Sun2

    International Journal of Mental Health Promotion, Vol.23, No.3, pp. 417-427, 2021, DOI:10.32604/IJMHP.2021.013098

    Abstract Knee instability as a symptom of ligament injury usually only receives attention when it causes pain or impacts patients’ mobility in China. In this study both the physical and psychosocial impact of an innovative approach to treatment, Half-cut Wood Training, was examined. Twenty individuals with knee instability who received Halfcut Wood Training (Intervention group) and twenty two individuals with knee instability who did not receive Half-cut Wood Training (as Control group) participated in the study. The electric WIFI based HBF-306 was used to collect the anthropometry and biomedical data. Symptom severity was assessed by a doctor and through response to… More >

  • Open Access


    Machine Learning Applied to Problem-Solving in Medical Applications

    Mahmoud Ragab1,2, Ali Algarni3, Adel A. Bahaddad4, Romany F. Mansour5,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2277-2294, 2021, DOI:10.32604/cmc.2021.018000

    Abstract Physical health plays an important role in overall well-being of the human beings. It is the most observed dimension of health among others such as social, intellectual, emotional, spiritual and environmental dimensions. Due to exponential increase in the development of wireless communication techniques, Internet of Things (IoT) has effectively penetrated different aspects of human lives. Healthcare is one of the dynamic domains with ever-growing demands which can be met by IoT applications. IoT can be leveraged through several health service offerings such as remote health and monitoring services, aided living, personalized treatment, and so on. In this scenario, Deep Learning… More >

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