Validation of an ultra-short version of the posttraumatic growth inventory in Colombian adults exposed to COVID-19.

We aimed to evaluate whether an ultra-short version of the Posttraumatic Growth Inventory (PTGI) has adequate psychometric properties, with a Colombian sample (N = 931) vulnerable to SaRS-CoV-2 infection. Results indicated that adequate indicators of goodness-of-fit, convergent validity, internal consistency, and factorial invariance. Therefore, this instrument is recommended for the screening of posttraumatic growth associated with the COVID-19 pandemic that may be present in the Colombian population.

Validation of the Post-Traumatic Growth Inventory in Adolescents Who Lost a Family Member in the Past 4 years: Effects of Time After the Death Event and Gender.

Post-traumatic growth is the psychological capacity to perceive positive changes facing high-stress or potentially traumatic events and may be especially useful in lessening their effects in adolescents' lives. Present study aimed to evaluate the psychometric properties of the Post-Traumatic Growth Inventory (PTGI) in 662 Peruvian adolescents who suffered the death of an immediate family member over the last 4 years. Firstly, an exploratory graphical analysis (EGA) was conducted to determine the best parsimonious structure of the instrument and confirmed with its respective factor models. The results report adequate fit indices in the EGA Bifactor model. Furthermore, another structural model is included, which reports significant latent effects of the time elapsed since the relative's death and gender (male) on PTGI general factor. Likewise, gender measure was significantly related to items 3, 7, and 11, which is linked to personal growth.

The inclusive use of effect size conversion and Bayes factor in digestive disease research.

An important article was published, whicht evaluated statistically significant associations (p < 0.05) using the odds ratio (OR), in the first issue of volume 113 of this journal. The study evaluated a relationship between C-reactive protein levels (CRP > 100) and the histological diagnosis of gangrenous acute cholecystitis in patients who underwent cholecystectomy (OR = 3.1).

Factors related to positive attitudes toward palliative care: Direct and indirect effects of self-care self-efficacy, knowledge, and beliefs.

CONTEXT: Knowledge, beliefs, and attitudes toward palliative care (PC) constitute barriers to its access. Few studies have focused on the intrinsic relationship between these variables, and none has examined the relationship between them and self-care self-efficacy. OBJECTIVE: To examine the direct and indirect effects of self-care self-efficacy, knowledge, and beliefs on attitudes toward PC. METHODS: A cross-sectional predictive study was conducted. Self-care self-efficacy, knowledge, attitudes, and beliefs about PC were analyzed using information from the Health Information National Trends Survey (HINTS 5, cycle 2, 2018). Data from 1,162 participants were considered. Structural equation modeling (SEM) was used to represent the statistical mediation model with latent and observable variables. RESULTS: The structural model presents positive coefficients indicating that self-care self-efficacy significantly predicts knowledge (ß = 0.127, p < 0.001) and beliefs (ß = 0.078, p = 0.023). Similarly, knowledge is associated with attitudes (ß = 0.179, p < 0.001) and beliefs (ß = 0.213, p < 0.001). The beliefs measure is also significantly related to attitudes (ß = 0.474, p < 0.001). In addition, this structural multiple mediation model shows optimal goodness-of-fit indices: χ2/df = 3.49, CFI = 0.983, TLI = 0.976, RMSEA = 0.046 [90% CI: 0.037-0.056], SRMR = 0.038. CONCLUSION: Self-care self-efficacy is significantly associated with knowledge and beliefs about PC, which in turn are related to each other. Altogether, these variables predict positive attitudes toward PC. Understanding the relationship between these variables is relevant for targeting-specific populations and designing timely strategies to improve access to PC.

Network analysis in psychiatric research.

Volume 48 of this journal has presented a series of studies evaluating clinical test measurement models. Two of these investigations reported through exploratory factor analysis (EFA) the number of factors extracted to examine the structure of the test which consists of variables associated with the same factor, the common underlying trait of which allows correlation between such variables. The EFA methodology is linked to the area of psychometrics that has driven the evaluation of latent variable models (not directly measurable), this has led to the development of new statistical models which are more robust such as the analysis of structural equations. This method is based on route analysis and multiple regression, which refers to a structural model that includes several relationships and effects between a set of variables to evaluate multiple clinical hypotheses beyond factorial analysis.

Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom.

The health crisis caused by COVID-19 in the United Kingdom and the confinement measures that were subsequently implemented had unprecedented effects on the mental health of older adults, leading to the emergence and exacerbation of different comorbid symptoms including depression and anxiety. This study examined and compared depression and anxiety symptom networks in two specific quarantine periods (June-July and November-December) in the older adult population in the United Kingdom. We used the database of the English Longitudinal Study of Aging COVID-19 Substudy, consisting of 5797 participants in the first stage (54% women) and 6512 participants in the second stage (56% women), all over 50 years of age. The symptoms with the highest centrality in both times were: "Nervousness (A1)" and "Inability to relax (A4)" in expected influence and predictability, and "depressed mood (D1"; bridging expected influence). The latter measure along with "Irritability (A6)" overlapped in both depression and anxiety clusters in both networks. In addition, a the cross-lagged panel network model was examined in which a more significant influence on the direction of the symptom "Nervousness (A1)" by the depressive symptoms of "Anhedonia (D6)", "Hopelessness (D7)", and "Sleep problems (D3)" was observed; the latter measure has the highest predictive capability of the network. The results report which symptoms had a higher degree of centrality and transdiagnostic overlap in the cross-sectional networks (invariants) and the cross-lagged panel network model of anxious and depressive symptomatology.

Intake of foods high in saturated fats, vegetarian dietary pattern, and sociodemographic characteristics associated with body weight in Peruvian university students.

Background: The prevalence of obesity continues to increase among university students and the general population. Consumption of a diet high in saturated fats could be one of the risk factors. Objective: The consumption of foods high in saturated fats, the vegetarian diet pattern, and sociodemographic characteristics associated with excess body weight (overweight/obesity) were evaluated in Peruvian university students. Methods: A cross-sectional study was carried out selecting 5,608 Peruvian university students through no probabilistic convenience sampling. The survey was carried out during the months of February and April 2022. The Chi-square test and binary logistic regression analysis were used to evaluate the association between diet (saturated fats intake and dietary pattern) and sociodemographic factors with excess body weight in a cross-sectional analysis. Results: It was observed that students who reported high consumption of foods high in saturated fats (ORB = 1.14) and those who had a non-vegetarian dietary pattern (ORB = 2.76) were found to be more likely to have excess body weight. On the contrary, students who reported adherence to the vegetarian diet pattern for more than 5 years were less likely to be overweight or obese (ORB = 0.84). Being ≥26 years of age (ORB = 3.28), living in urban areas (ORB = 1.68) and coastal areas of the country (ORB = 1.17), and enrolled in the engineering faculty (ORB = 1.19), were significantly associated with excess body weight. Conclusion: The findings of the current study evidenced several factors associated with excess body weight in university students. Therefore, it is necessary to promote and implement healthy lifestyle programs, considering sociodemographic and dietary aspects such as age and dietary intake to control and prevent obesity in university students.

Culture and ICD-11 personality disorder: Implications for clinical practice across diverse ethnic groups.

BACKGROUND: Personality disorder (PD) in ICD-11 is defined primarily by self and interpersonal dysfunction and optionally by other qualifiers. This definition is inseparable from relativism of cultural determinants. AIMS: This review aimed to synthesize the relevant aspects of the influence of culture on clinical practice and health management for this condition, aligning them to the ICD-11 PD model. METHOD: In Scopus, we systematically searched for studies that included the text strings: cultur* | personality AND (disorder* OR patholog*) without any restrictions on publication date or language or other exclusion criteria, up to November 2022. RESULTS: Evidence suggests that cultural variables in ethnic groups (Western and non-Western) such as the individualist/collectivist philosophy, historical/generational trauma, immigration, acculturation, religion, and gender influence the etiology, semiology, epidemiology, evaluation, diagnosis, treatment, and management of health services for ICD-11 PD. We discuss the limitations and propose future lines of research on this topic based on our knowledge and experience. In this review, we provide the scientific community and clinicians with relevant cultural information to guide their practice and propose strategies to manage PD from the ICD-11 model. CONCLUSIONS: More research is needed using mixed study methodologies on stigma, the experiences of patients, clinicians, and health agencies, to reduce the care gaps and achieve a culturally comprehensive, inclusive, and competent use of this new model.

Internal consistency of measures for ICD-11 personality disorder severity and traits: A systematic review and meta-analysis.

A number of measures and scales have been developed for the ICD-11 personality disorder (PD) diagnosis, including severity and trait dimensions. The present systematic review and meta-analysis sought to evaluate the internal consistency of these measures across different populations and cultures. A systematic search was conducted across four databases where relevant studies were subjected to explicit eligibility criteria resulting in 49 included studies and 370 effect sizes. Study characteristics were tabulated, their methodological quality was evaluated, and findings were synthesized using random effects meta-analysis. Findings overall indicated that measures of ICD-11 PD severity and trait domains have adequate levels of internal consistency (α/ω = 0.82, 95% CI [0.81; 0.83], I2 = 97.3%). Aspects such as sample, country, language, format, and measured construct were significant sources of variation. Additional meta-analyses revealed that some measures performed better than others for certain dimensions. Internal consistency was overall supported across ICD-11 measures of severity and trait domains. Future research should further investigate the interrater reliability, test-retest reliability and stability, and alignment with interview-based PD diagnoses.

Body mass index and healthy lifestyle practices among Peruvian university students: a comparative study among academic discipline.

Background: Excess body weight and an unhealthy lifestyle are a risk factor for noncommunicable diseases. University students are susceptible to unhealthy habits and obesity. This study compared body mass index (BMI) and healthy lifestyle practices among university students from four academic disciplines: Health Sciences, Business Sciences, Human Sciences and Education, and Engineering/Architecture. Methods: A cross-sectional study was carried out using a sample of 6,642 university students selected by non-probability convenience sampling. The Diet and Healthy Lifestyle Scale (DEVS), the Peruvian validation of the Vegetarian Lifestyle Index (VLI), was used to assess healthy lifestyle practices. Results: Students in the areas of Business Sciences and Engineering/Architecture had a higher BMI than their peers in Health Sciences (B = 0.35, 95% CI: 0.15-0.56 and 0.32, 95% CI: 0.13-0.52; p = 0.001). Additionally, these students tended to adopt less healthy lifestyle (B = -0.11, 95% CI: -0.20 to -0.01 and -0.09, 95% CI: -0.18 to -0.00; p < 0.05) compared to those in Health Sciences. Conclusion: Although students of Health Sciences and Human Sciences and Education exhibited healthy lifestyle patterns, there is a clear need to improve eating and living habits in general among the university population to mitigate the risk factors associated with non-communicable diseases.

Breakfast consumption, saturated fat intake, and body mass index among medical and non-medical students: a cross-sectional analysis.

Changes in dietary patterns and body weight have become a focus of research in undergraduate students. This study compared breakfast consumption, intake of foods high in saturated fat, and BMI between medical and non-medical students. A comparative cross-sectional study was conducted in 4,561 Peruvian university students, of whom 1,464 (32.1%) were from the medical field and 3,097 (67.9%) from the non-medical field. We compared the frequency of breakfast consumption (categorized as regular: 6 to 7 days/week; occasional: 3 to 5 days/week; and rarely or never: 0 to 2 days/week) and the frequency of consumption of foods high in saturated fat. We created simple and multiple linear and Poisson regression models with robust variance to evaluate the association of the mentioned variables with academic fields. Non-medical students (Adjusted Prevalence Ratio [PR] = 0.92, 95% CI 0.86-0.99; p = 0.008) were less likely to eat breakfast regularly compared to medical students. Likewise, consumption of foods high in saturated fats was higher in non-medical students (B = 1.47, 95% CI 0.91-2.04; p < 0.001) compared to medical students. Similarly, the mean BMI of these students was significantly higher than that of medical students (B = 0.33, 95% CI 0.12-0.53; p = 0.002). Although medical students reported relatively healthy eating habits and a lower BMI, there is a widespread need to promote improved diet and lifestyle among the entire university population to reduce the risks of communicable diseases and improve quality of life.

Associations between social network addiction, anxiety symptoms, and risk of metabolic syndrome in Peruvian adolescents-a cross-sectional study.

Background: The link between physical and mental health and screen time in adolescents has been the subject of scientific scrutiny in recent years. However, there are few studies that have evaluated the association between social network addiction (SNA) and metabolic risk in this population. Objective: This study determined the association between SNA and anxiety symptoms with the risk of metabolic syndrome (MetS) in adolescents. Methods: A cross-sectional study was conducted in Peruvian adolescents aged 12 to 18 years, who completed a Social Network Addiction Questionnaire and the Generalized Anxiety Disorder 2-item scale (GAD-2), between September and November 2022. A total of 903 participants were included in the study using a non-probability convenience sample. Sociodemographic and anthropometric data were also collected. Binary logistic regression was used to explore the association between SNA and anxiety symptoms with MetS in a cross-sectional analysis. Results: Males were more likely to have MetS than females (OR = 1.133, p = 0.028). Participants who were 16 years of age or older and those with excess body weight were 2.166, p = 0.013 and 19.414, p < 0.001 times more likely to have MetS, respectively. Additionally, SNA (OR = 1.517, p = 0.016) and the presence of anxiety symptoms (OR = 2.596, p < 0.001) were associated with MetS. Conclusion: Our findings suggest associations between SNA, anxiety symptoms, and MetS among youth. However, more studies are needed to better understand this association and to deepen the possible clinical and public health implications.

A Network Analysis Approach to Understanding Centrality and Overlap of 21 Dark Triad Items in Adults of 10 Countries.

Background: Previous research has suggested that manipulation and callousness are central to Dark Triad traits, but it has not identified which specific manifestations are expressed across various countries. Objective: This study aimed to identify the core and overlapping manifestations of Dark Triad traits across 10 countries. Methods: We used the Short Dark Triad (SD3) scale and assessed a sample of 8093 participants (59.7% women, M(age) = 32.68 years). For graphical representation, the spinglass algorithm was applied to understand the cluster distribution among Machiavellianism, psychopathy, and subclinical narcissism traits. Centrality indices were used to identify the most influential items, and the clique-percolation algorithm was employed to detect shared attributes among multiple Dark Triad items. Results: Straightforward SD3-21 items demonstrated better interpretability as aversive traits within the broader system. Items with higher centrality values were those related to short-term verbal manipulation from the psychopathy domain, clever manipulation, strategic revenge-seeking from Machiavellianism, and narcissistic motivations for connecting with significant individuals. The most predicted items were linked to planned revenge, using information against others from Machiavellianism, short-term psychopathic verbal manipulation, and narcissistic belief of specialness based on external validation. Items like short-term verbal manipulation had overlaps with both psychopathy and narcissism clusters, while clever manipulation overlapped with Machiavellianism and psychopathy. Conclusion: This cross-cultural study highlights the central role of verbal manipulation within the Dark Triad traits, along with identifying overlapping items among traits measured using straightforward SD3 scale items. In line with our findings, future research that incorporates a wide range of cultural contexts is encouraged to establish the consistency of these findings with the SD3 Scale or alternative measures.

Sex differences in entrapment in a multinational sample: a network analysis perspective.

Background: The concept of entrapment has been highlighted as a transdiagnostic element that manifests itself in disorders such as depression, anxiety, and suicidal ideation. Although research has been conducted in different contexts independently, a comprehensive multi-country study to assess gender differences in entrapment through network analysis has not yet been carried out. The objective of this study was to evaluate the entrapment network in men and women at the multinational level. Methods: A sample of 2,949 participants, ranging in age from 18 to 73 years from six countries (Germany, Iran, Spain, Slovakia, El Salvador, and Peru), was considered. They completed the entrapment scale. A network analysis was performed for both men and women to identify the connectivity between indicators and the formation of clusters and domains, in addition to the centrality assessment in both sex groups. Results: The study findings revealed the presence of a third domain focused on external interpersonal entrapment in the network of men and women. However, in relation to the interconnectivity between domains, variations were evidenced in both networks, as well as in centrality, it was reported that men present a greater generalized entrapment in various aspects of life, while women tend to experience a more focused entrapment in expressions of intense emotional charge. Conclusion: The multinational study identified variations in the structure of entrapment between genders, with three domains (internal, external, and external-interpersonal) and differences in the interaction of indicators and groupings, as well as discrepancies in centrality.

Network Analysis of Dark Triad Traits and Emotional Intelligence in Peruvian Adults.

Background: The study of Dark Triad traits and emotional variables has been conducted in numerous regions; however, there is a lack of research focusing on Latin American samples and considering variables such as sex and age. Incorporating these variables could enhance our understanding of underlying aversive patterns. Purpose: This study aimed to analyze the associations between Dark Triad traits and emotional intelligence in Peruvian adults. Methods: Data were collected in 2021 and 272 adults (M=31.8 years, 68% female) participated through online surveys via non-probability purposive sampling. Dirty Dozen and Trait Meta-Mood Scales were used. Two partial correlation network models were applied between the study variables with and without controlling for gender and age. Bridge-expected influence and predictability analysis were calculated to find interconnected traits and higher connections, respectively. Results: Subclinical psychopathy primarily showed negative associations with emotional clarity (r=-0.17), followed by emotional attention (r=-0.08) and emotional repair in networks with and without age and gender variables. Machiavellianism consistently displayed a negative association with emotional repair (r=-0.13) in both estimated networks. Conversely, subclinical narcissism exhibited a positive association solely with emotional attention (r=0.15). Furthermore, younger age was linked to higher Machiavellianism (r=-0.23), females showed higher emotional attention (r=0.11), and narcissism connected intrapersonal emotional domains with Dark Traits (bridge expected influence >1.25) while Machiavellianism exhibited greater predictability (r2>0.45) due to reinforcement by other Dark Traits. Conclusion: This study revealed negative connections between the Dark Triad and emotional intelligence traits, except for narcissism, which was positively associated with emotional attention and functioned as a "bridge" between all traits. However, relying solely on this single positive emotional aspect of narcissism may not be adequate to characterize it as possessing fully adaptive emotional traits. Findings suggest that detailed aspects of emotional intelligence and sociodemographic factors can provide valuable insights into the complex nature of aversive patterns and their broader impact on society.

Gender network analysis of the Eating Disorder Examination-Questionnaire (EDE-Q7) in Peruvian adults.

Introduction: Background: network assessment of eating disorder (ED)-related symptomatology from a gender perspective is an important topic of study; however, there is limited research in the Latin American context. Objective: this study aimed to explore the patterns of association of the components of the Eating Disorder Examination-Questionnaire (EDE-Q7) according to gender, using two simultaneous network models in 890 Peruvian adults (63.51 % were women; mean age: 26.40). Methods: two graphs considering the gender factor were made using the R package qgrap and the merged LASSO graph. Results: higher network centrality measures were obtained for items related to body image dissatisfaction and overvaluation in women; while in the men's network, the items of food restriction and overestimation of weight were the most central symptoms. Conclusion: both network models were invariant and showed no significant differences in both structure and connections.

Introducción: Introducción: la evaluación de redes de la sintomatología relacionada con los trastornos alimentarios (TA) desde el punto de vista del género es un tema importante de estudio; sin embargo, existen pocas investigaciones en el contexto latinoamericano. Objetivo: el objetivo de este estudio fue explorar los patrones de asociación de los componentes del Eating Disorder Examination-Questionnaire (EDE-Q7) según el sexo mediante dos modelos de red simultánea en 890 adultos peruanos (63,51 % de mujeres; edad promedio: 26,40 años). Métodos: se realizaron dos gráficos considerando el factor género utilizando el paquete R qgrap y el gráfico LASSO fusionado. Resultados: se obtuvieron medidas de centralidad de red más altas para los ítems relacionados con la insatisfacción y la sobrevaloración de la imagen corporal en las mujeres; mientras que, en la red de los hombres, los ítems de restricción alimentaria y sobrevaloración del peso eran los síntomas más centrales. Conclusión: ambos modelos de red resultaron invariables y no mostraron diferencias significativas a nivel de estructura y conexiones.