cially in the post-pandemic context, where social determinants of health have become even more evident. This study aimed to verify the predictive capacity of social variables on mental health indicators in people with diabetes in the post-pandemic context. Method: A quantitative, descriptive, cross-sectional, and analytical study with a non-probabilistic national sample of 462 people with diabetes, predominantly women (87.6%), with a mean age of 56.38 years (SD = 10.14), mostly identifying as heterosexual (91.8%) and white (58.2%), with higher education levels (60.2%). Participants answered an online questionnaire with sociodemographic and clinical data, in addition to the GAD-7 (anxiety), PHQ-9 (depression), WHO-5 (well-being), and BASE-6 (stress) scales. Descriptive analyses, biserial correlations, and multiple linear regressions were performed. Results: The descriptive findings indicated relevant levels of psychological distress and reduced well-being in the sample. The mean scores were: 10.82 (SD = 6.10) on the GAD-7; 12.71 (SD = 7.77) on the PHQ-9; 29.54 (SD = 22.33) on the WHO-5; and 23.12 (SD = 9.71) on the BASE-6. Regression analyses revealed greater vulnerability among women, racial minority groups, individuals with lower levels of education and income, those with a partner, those without private health insurance, those with a history of psychological or psychiatric treatment, and those with a longer time since diabetes diagnosis. Conclusions: Mental health is influenced by social determinants, reinforcing the need for public policies that integrate clinical care and psychosocial support, in line with the Sustainable Development Goals.
Introduction: The deterioration in the quality of life among individuals with psychiatric disorders highlights the importance of studying these conditions, with Borderline Personality Disorder being one of the most frequently diagnosed. The aim of this study was to compare body image, dissatisfaction and alteration and the risk of drunkorexia in individuals with or without BPD. Method: A cross-sectional, quantitative, comparative design was used, with a total sample of N = 426 Mexican participants, including n1 = 72 individuals diagnosed with BPD and n2 = 354 university students as controls, aged 18 to 30. The McLean Screening Instrument for Borderline Personality Disorder, the body silhouette scales, and the CEBRACS scale, were used to measure the study variables; The application was individual through Google Forms. Results: The main findings of the research indicate statistically significant differences in dissatisfaction and alteration of body image by group F = 5.3, p = .022; F = 12.005, p = .001, and by sex, F = 4.6, p = .033; F = 7.5, p = .006. Regarding drunkorexia, only group differences were significant, F = 36.2, p < .001. Conclusions: Participants with BPD exhibited higher levels of body image disturbance and risk of drunkorexia compared to controls.
Objective: Mathematics is a fundamental subject in school education; however, it can generate anxiety that negatively impacts attitudes and academic performance. Reports show that achievement levels are low in Peru. The objective of this study was to analyse the psychometric properties of the Abbreviated Mathematical Anxiety Scale in secondary school students in Peru. Method: The sample consisted of 416 Peruvian high school students from 11 to 18 years of age. Along with the AMAS, various models were tested using confirmatory factor analysis, and validity based on the relationship with other variables was studied through structural equation modelling. Reliability was estimated using Cronbach’s a and McDonald’s w coefficients. Results: Confirmatory factor analysis demonstrated that the two-dimensions related model presented acceptable fit indices. On the other hand, it was demonstrated that the scale presents validity based on the relationship with other variables such as academic self-efficacy, depression, anxiety, and stress. Likewise, it was found that the scale presents adequate reliability values in both dimensions: learning anxiety towards mathematics and evaluation anxiety towards mathematics. Conclusion: The results of this study confirm that the Abbreviated Mathematics Anxiety Scale is a useful instrument for measuring mathematics anxiety in high school students in a Peruvian context.
Introduction: The Behavioral Activation for Depression Scale-Short Form (BADS-SF) assesses behavioural activation and avoidance. Method: This study adapted the adult BADS-SF for adolescent populations and evaluated its psychometric properties in a sample of 450 Colombian adolescents (ages 13-17) from diverse regions who provided informed consent. Results: The adolescent version (BADS-SFA) demonstrated acceptable internal consistency, with McDonald’s Omega = .73 and Cronbach’s alpha = .72. Exploratory factor analysis (EFA) suggested a two-factor structure, which was subsequently confirmed through confirmatory factor analysis (CFA) using an 8-item version of the scale (item 8 was removed). The CFA also demonstrated measurement invariance across sex. As hypothesised, significant correlations were observed between behavioural activation, depression, and suicidal risk. Conclusions: These findings indicate that the BADS-SFA possesses adequate psychometric properties for assessing behavioural activation and avoidance in Colombian adolescents. This paper discusses the removal of item 8, the nature of the avoidance dimension, and directions for future research.
Introduction: The coronavirus disease of 2019 (COVID-19) pandemic significantly increased global anxiety and depression rates. Among those infected, physical sequelae often worsened psychological symptoms, creating a cycle of distress. This study examined the interrelations between anxiety, depression, and COVID-19 sequelae. Method: Data were collected through an online survey of 18,720 Brazilian adults between March and May 2024. We conducted two network analyses: one for anxiety and depression, and another for COVID-19 sequelae, with symptoms of anxiety and depression. Results: About one-third of participants reported persistent COVID-19 sequelae, mainly neurological symptoms, sleep disturbances, psychiatric conditions, and chronic pain. Post-pandemic networks appear to reflect a shift from anxiety- to depression-centred structures, with hopelessness emerging as the most central symptom and psychomotor changes functioning as the primary bridge between anxiety and depression. In the network integrating sequelae, anxiety, and depression, neurological sequelae and sleep disturbances emerged as the most influential nodes. Psychomotor changes also acted as the main bridge node, suggesting they may play a crucial role in linking depressive symptoms to anxiety and post-COVID sequelae within the network. Conclusions: The findings highlight the enduring impact of the pandemic on mental health and emphasise the need for targeted interventions that also address depressive symptoms to mitigate these long-term adverse effects.
