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  • 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 - 04 May 2024

    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

    The Social Networking Addiction Scale: Translation and Validation Study among Chinese College Students

    Siyuan Bi1, Junfeng Yuan1,2, Lin Luo1,2,3,*

    International Journal of Mental Health Promotion, Vol.26, No.1, pp. 51-60, 2024, DOI:10.32604/ijmhp.2023.041614 - 05 February 2024

    Abstract Purpose: The core component theory of addiction behavior provides a multidimensional theoretical model for measuring social networking addiction. Based on this theoretical model, the Social Networking Addiction Scale (SNAS) was developed. The aim of this study was to test the psychometric properties of the Chinese version of the SNAS (SNAS-C). Methods: This study used a sample of 3383 Chinese university students to conduct confirmatory factor analysis (CFA) to explore the structural validity of the SNAS-C. This study examined the Pearson correlations between the six subscales of the SNAS-C (i.e., salience, mood modification, tolerance, withdrawal symptoms,… More >

  • Open Access

    ARTICLE

    A validation study of new decision algorithms for interpretation of cancer significance on prostate systematic biopsy

    Gerald O. Ogola1, Nicolas Delongchamps2,3, Robert Serfling4

    Canadian Journal of Urology, Vol.24, No.2, pp. 8721-8727, 2017

    Abstract Introduction: To test with actual data a new decision algorithm derived by probability modeling of the number of positive cores, for deciding insignificant versus significant prostate cancer, based on prostate volume, Gleason score, tumor length on biopsy cores, and number of positive cores.
    Materials and methods: A dataset of 59 cancer-involved autopsied prostate glands from patients aged 42 to 92 years with prostate volumes of 22 cc to 95 cc was used. An 18 core-systematic biopsy was performed on the first 47 patients, and saturation biopsy protocol of 36 cores was performed on the remainder. Clinically insignificant… More >

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