This study aimed to evaluate the psychometric properties of the Alexian Brother Urge to Self-Injure (ABUSI) in its Spanish version for Colombian adolescents. This instrument was created to measure cognitive and emotional aspects of the urge to self-injure by assessing the frequency, the urge, thoughts associated with time and place, the capacity for resistance, and thoughts associated with the urge to self-injure. A total of 752 preadolescents and adolescents between 10 and 18 years of age, with a mean of 15.3 years (SD = 1.97), participated. The instruments used were The Alexian Brother Urge to Self-Injure ABUSI, ERS Suicide Risk Scale, Plutchik Suicide Risk Scale, and the Zimet The MSPSS Perceived Social Support Scale. Confirmatory factor analysis, inter-test correlations, to estimate cut-off point discriminant validity Receiver Operating Characteristics (ROC) and to determine convergent validity, a Pearson's coincidence analysis was performed between the ABUSI total score and the ERS Suicide Risk Scale, the Plutchik's Suicide Risk Scale and Zimet's Perceived Social Support Scale assessments. The presence of a unidimensional model of the instrument is confirmed with adequate fit, reliability, and concurrent validity indices. The high score classification was determined from six (6) points for the total of the scale. These results show that ABUSI is a valid and reliable tool for the clinical assessment of self-injurious behavior in adolescents and preadolescents.

Background: The objective of this study was to analyze the internal structure and psychometric properties of the Well-treatment Scale in a sample of school-aged adolescents in Cúcuta, Colombia. Material and methods: A quantitative, cross-sectional, and instrumental design was used, involving 1,019 students aged 11-19. The analyses included descriptive statistics, internal consistency, confirmatory factor analysis (CFA), correlations among factors, and differences by age and gender. Results: CFA supported the six-factor theoretical model and led to the elimination of three reverse-coded items, thereby improving the model’s parsimony and fit indices. The final version consisted of 34 items distributed across the following domains: Well-treatment Received, Consideration, Kindness, Expression of Affection, Physical Self-Care, and Psychological Self-Care. The descriptive statistics showed moderate to high levels of Well-treatment, with consideration and kindness standing out as the highest dimensions and physical self-care as the lowest.