One step further in mistreatment research: Assessing the scalability of the Explicit Discrimination Scale among Brazilian working-age adult respondents.

Though the Explicit Discrimination Scale (EDS) has been subjected to extensive psychometric evaluation in Brazil, the instrument has yet to be comprehensively assessed among working-age adult respondents in the country. This study aimed to fill this knowledge gap. Data from around 1200 diverse members of a cohort investigation were used to examine: (1) the positioning of respondents along the continuum of the EDS latent trait; (2) how well the corresponding items represent the EDS construct map; and (3) the extent to which the EDS items follow their expected levels of intensity. We assessed these properties with Loevinger's H, Guttman errors, and Item Response Theory parameters. Findings suggest that two abridged versions of the instrument-but especially the eight-item EDS-may adequately arrange respondents along the latent trait continuum. Analyses also revealed that scale items are reasonably spread over the construct map, with some discrepancy between the expected levels of intensity and their empirical positioning in the corresponding plot. The shortened versions of EDS have good psychometric properties among Brazilian working-age adult respondents. In addition to examining the invariance of the EDS across multiple groups, future psychometric evaluations should assess the external validity of the scale.

Mental Health and Emotional Disorders During the COVID-19 Pandemics: Prevalence and Extent in PICU Staff.

OBJECTIVES: To assess the prevalence of burnout, anxiety and depression symptoms, and posttraumatic stress disorder (PTSD) in PICU workers in Brazil during the first peak of the COVID-19 pandemic. To compare the results of subgroups stratified by age, gender, professional category, health system, and previous mental health disorders. DESIGN: Multicenter, cross-sectional study using an electronic survey. SETTING: Twenty-nine public and private Brazilian PICUs. SUBJECTS: Multidisciplinary PICU workers. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Self-reported questionnaires were used to measure burnout (Maslach Burnout Inventory), anxiety and depression (Hospital Anxiety and Depression Scale), and PTSD (Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [PCL-5]) in 1,084 respondents. Subjects were mainly young (37.1 ± 8.4 yr old) and females (85%), with a median workload of 50 hours per week. The prevalence of anxiety and depression was 33% and 19%, respectively, whereas PTSD was 13%. The overall median burnout scores were high in the emotional exhaustion and personal accomplishment dimensions (16 [interquartile range (IQR), 8-24] and 40 [IQR, 33-44], respectively) whereas low in the depersonalization one (2 [IQR, 0-5]), suggesting a profile of overextended professionals, with a burnout prevalence of 24%. Professionals reporting prior mental health disorders had higher prevalence of burnout (30% vs 22%; p = 0.02), anxiety (51% vs 29%; p < 0.001), and depression symptoms (32.5% vs 15%; p < 0.001), with superior PCL-5 scores for PTSD ( p < 0.001). Public hospital workers presented more burnout (29% vs 18.6%, p < 0.001) and more PTSD levels (14.8% vs 10%, p = 0.03). Younger professionals were also more burned out ( p < 0.05 in all three dimensions). CONCLUSIONS: The prevalence of mental health disorders in Brazilian PICU workers during the first 2020 peak of COVID-19 was as high as those described in adult ICU workers. Some subgroups, particularly those reporting previous mental disorders and younger professionals, should receive special attention to prevent future crises.

The Alcohol Use Disorders Identification Test (AUDIT) in Adolescents: Using a Model-Based Approach to Identify Patterns of Alcohol Misuse.

OBJECTIVE: To explore the latent structure of the Alcohol Use Disorders Identification Test (AUDIT) among adolescents of different school grades (age strata). Methods: Data derived from two simultaneous run cohort studies from the "Adolescent Nutritional Assessment Longitudinal Study-ELANA" conducted in private and public schools of Rio de Janeiro/Brazil. Participants comprised 564 seventh-graders and 419 ninth-graders, respectively sampled in 2011 and 2013 from cohort 1, and 730 eleventh-graders sampled in 2011 from cohort 2. Latent class factor analytical (LCFA) models were applied to the AUDIT items to identify internally homogeneous latent groups of individuals representing distinct patterns of alcohol use, and optimal group-separating cutoffs. The classification agreement was also evaluated. Results: Three and two groups (classes) were found for the eleventh and the earlier grades, respectively. These best-fitting models held a very high degree of class separation (entropy >0.9). By contrasting the AUDIT's raw scores (0-10) with the model-based latent classes, the cutoff separating the base (milder) category was found between scores 0 and 1 in all grades. The eleventh-graders differed from the others by showing a third and more intense category of alcohol use (cutoff between 4 and 5). The classification agreement was almost perfect in eleventh-graders (98.6%) and perfect in the earlier grades (100%). Conclusions: Findings show that the AUDIT may be adequately used in adolescents of different ages and school grades, although the number of homogeneous categories may differ accordingly. Besides, raw scores may be pragmatically used to identify groups with confidence by applying specific optimal cutoffs.

Agreement between self-reported pre-pregnancy weight and measured first-trimester weight in Brazilian women.

BACKGROUND: Self-reported pre-pregnancy weight and weight measured in the first trimester are both used to estimate pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) but there is limited information on how they compare, especially in low- and middle-income countries, where access to a weight scale can be limited. Thus, the main goal of this study was to evaluate the agreement between self-reported pre-pregnancy weight and weight measured during the first trimester of pregnancy among Brazilian women so as to assess whether self-reported pre-pregnancy weight is reliable and can be used for calculation of BMI and GWG. METHODS: Data from the Brazilian Maternal and Child Nutrition Consortium (BMCNC, n = 5563) and the National Food and Nutritional Surveillance System (SISVAN, n = 393,095) were used to evaluate the agreement between self-reported pre-pregnancy weight and weights measured in three overlapping intervals (30-94, 30-60 and 30-45 days of pregnancy) and their impact in BMI classification. We calculated intraclass correlation and Lin's concordance coefficients, constructed Bland and Altman plots, and determined Kappa coefficient for the categories of BMI. RESULTS: The mean of the differences between self-reported and measured weights was < 2 kg during the three intervals examined for BMCNC (1.42, 1.39 and 1.56 kg) and about 1 kg for SISVAN (1.0, 1.1 and 1.2 kg). Intraclass correlation and Lin's coefficient were > 0.90 for both datasets in all time intervals. Bland and Altman plots showed that the majority of the difference laid in the ±2 kg interval and that the differences did not vary according to measured first-trimester BMI. Kappa coefficient values were > 0.80 for both datasets at all intervals. Using self-reported pre-pregnancy or measured weight would change, in total, the classification of BMI in 15.9, 13.5, and 12.2% of women in the BMCNC and 12.1, 10.7, and 10.2% in the SISVAN, at 30-94, 30-60 and 30-45 days, respectively. CONCLUSION: In Brazil, self-reported pre-pregnancy weight can be used for calculation of BMI and GWG when an early measurement of weight during pregnancy is not available. These results are especially important in a country where the majority of woman do not initiate prenatal care early in pregnancy.

Suitability of the eight-item version of the Brazilian Household Food Insecurity Measurement Scale to identify risk groups: evidence from a nationwide representative sample.

OBJECTIVE: The Brazilian Household Food Insecurity Measurement Scale (EBIA) has eight general/adult items applied in all households and six additional items exclusively asked in households with children and/or adolescents (HHCA). Continuing an investigation programme on the adequacy of model-based cut-off points for EBIA, the present study aims to: (i) explore the capacity of properly stratifying HHCA according to food insecurity (FI) severity level by applying only the eight 'generic' items; and (ii) compare it against the fourteen-item scale. DESIGN: Latent class factor analysis (LCFA) models were applied to the answers to the eight general/adult items to identify latent groups corresponding to FI levels and optimal group-separating cut-off points. Analyses involved a thorough classification agreement evaluation and were performed at the national level and by macro-regions. SETTING: Data derived from the cross-sectional Brazilian National Household Sample Survey of 2013. PARTICIPANTS: A nationally representative sample of 116 543 households. RESULTS: In all households and investigated domains, LCFA detected four distinct household food (in)security groups (food security and three levels of severity of FI) and the same set of cut-off points (1/2, 4/5 and 6/7). Misclassification in the aggregate data was 0·66 % in adult-only households and 1·06 % in HHCA. Comparison of the scale reduced to eight items with the 'original' fourteen-item scale demonstrated consistency in the classification. In HHCA, the agreement between both classifications was 96·2 %. CONCLUSIONS: Results indicate the eight 'generic' items in HHCA can be reliably used when it is not possible to apply the fourteen-item scale.

Perceived discrimination south of the equator: Reassessing the Brazilian Explicit Discrimination Scale.

OBJECTIVE: To reassess the Explicit Discrimination Scale (EDS; Bastos, Faerstein, Celeste, & Barros, 2012), an instrument developed in Brazil to examine intersecting forms of discrimination, with particular attention to the number of underlying dimensions, residual correlations, share of explained item variance, and stability of the configural and metric structure in broader populations. METHOD: Data from two cross-sectional studies and one cohort investigation were used. Although the cross-sectional studies were conducted among racially diverse undergraduate students (n = 1,022, 45% women, mean age = 23 years; n = 424, 59% women, mean age = 22 years), the cohort study included a probabilistic sample of community residents with 18% racial/ethnic minority respondents (n = 1,187, 57% women, mean age = 42 years). A series of exploratory models, exploratory structural equation models, and confirmatory factor analyses models was estimated. RESULTS: The EDS items might be best represented by a 3-factor model, which includes a second-order factor. Although only 1 pair of correlated residuals emerged, at least 4 different items with a sizable share of error variance were observed. The revised scale structure had an excellent fit to the data and was consistent among both undergraduate students and community residents. CONCLUSIONS: As well as demonstrating that discrimination may be structured by proximal, medial, and distal experiences with mistreatment, we suggest that the EDS has the potential to enhance research on the intersectional health impacts of discrimination. Future studies are required to assess scalability and provide scholars with a shortened version of the instrument. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Modeling Optimal Cutoffs for the Brazilian Household Food Insecurity Measurement Scale in a Nationwide Representative Sample.

Background: This is the second part of a model-based approach to examine the suitability of the current cutoffs applied to the raw score of the Brazilian Household Food Insecurity Measurement Scale [Escala Brasileira de Insegurança Alimentar (EBIA)]. The approach allows identification of homogeneous groups who correspond to severity levels of food insecurity (FI) and, by extension, discriminant cutoffs able to accurately distinguish these groups.Objective: This study aims to examine whether the model-based approach for identifying optimal cutoffs first implemented in a local sample is replicated in a countrywide representative sample.Methods: Data were derived from the Brazilian National Household Sample Survey of 2013 (n = 116,543 households). Latent class factor analysis (LCFA) models from 2 to 5 classes were applied to the scale's items to identify the number of underlying FI latent classes. Next, identification of optimal cutoffs on the overall raw score was ascertained from these identified classes. Analyses were conducted in the aggregate data and by macroregions. Finally, model-based classifications (latent classes and groupings identified thereafter) were contrasted to the traditionally used classification.Results: LCFA identified 4 homogeneous groups with a very high degree of class separation (entropy = 0.934-0.975). The following cutoffs were identified in the aggregate data: between 1 and 2 (1/2), 5 and 6 (5/6), and 10 and 11 (10/11) in households with children and/or adolescents <18 y of age (score range: 0-14), and 1/2, between 4 and 5 (4/5), and between 6 and 7 (6/7) in adult-only households (range: 0-8). With minor variations, the same cutoffs were also identified in the macroregions. Although our findings confirm, in general, the classification currently used, the limit of 1/2 (compared with 0/1) for separating the milder from the baseline category emerged consistently in all analyses.Conclusions: Nationwide findings corroborate previous local evidence that households with an overall score of 1 are more akin to those scoring negative on all items. These results may contribute to guide experts' and policymakers' decisions on the most appropriate EBIA cutoffs.

Childhood sexual abuse, intimate partner violence during pregnancy, and posttraumatic stress symptoms following childbirth: a path analysis.

The aim of the study was to explore the pathways by which childhood sexual abuse (CSA), psychological and physical intimate partner violence (IPV) during pregnancy, and other covariates relate to each other and to posttraumatic stress disorder (PTSD) symptoms in the postpartum period. The sample comprised 456 women who gave birth at a maternity service for high-risk pregnancies in Rio de Janeiro, Brazil, interviewed at 6-8 weeks after birth. A path analysis was carried out to explore the postulated pathways between exposures and outcome. Trauma History Questionnaire, Conflict Tactics Scales and Posttraumatic Stress Disorder Checklist were used to assess information about exposures of main interest and outcome. The link between CSA and PTSD symptoms was mediated by history of trauma, psychiatric history, psychological IPV, and fear of childbirth during pregnancy. Physical IPV was directly associated with postnatal PTSD symptoms, whereas psychological IPV connection seemed to be partially mediated by physical abuse and fear of childbirth during pregnancy. The role of CSA, IPV, and other psychosocial characteristics on the occurrence of PTSD symptoms following childbirth as well as the intricate network of these events should be acknowledged in clinic and intervention approaches.

A Model-Based Approach to Identify Classes and Respective Cutoffs of the Brazilian Household Food Insecurity Measurement Scale.

BACKGROUND: The Brazilian Household Food Insecurity Measurement Scale (EBIA) is the main tool for assessing household food insecurity (FI) in Brazil, assisting in monitoring and improving national public policies to promote food security. Based on the sum of item scores, households have been classified into 4 levels of FI, with the use of cutoffs arising from expert discussions informed by psychometric analyses and policy considerations. OBJECTIVES: This study aimed to identify homogeneous latent groups corresponding to levels of FI, examine whether such subgroups could be defined from discriminant cutoffs applied to the overall EBIA raw score, and compare these cutoffs against those currently used. METHODS: A cross-sectional population-based study with a representative sample of 1105 households from a low-income metropolitan area of Rio de Janeiro was conducted. Latent class factor analysis (LCFA) models were applied to the answers to EBIA's items to identify homogeneous groups, obtaining the number of latent classes for FI measured by the scale. Based on this and a thorough classification agreement evaluation, optimal cutoffs for discriminating between different severity levels of FI were ascertained. Model-based grouping and the official EBIA classification cutoffs were also contrasted. RESULTS: LCFA identified 4 homogeneous groups with a very high degree of class separation (entropy = 0.906), endorsing the classification of EBIA as a 4-level measure of FI. Two sets of cutoffs were identified to separate such groups according to household type: 1/2, 5/6, and 10/11 in households with children and adolescents (score range: 0-14); and 1/2, 3/4, and 5/6 in adult-only households (score range: 0-7). CONCLUSION: Although roughly classifying EBIA as in previous studies, the current approach suggests that, in terms of raw score, households endorsing only one item of the scale would be better classified by being placed in the same stratum as those remaining negative on all items.

Intimate partner violence, common mental disorders and household food insecurity: an analysis using path analysis.

OBJECTIVE: To investigate the direct and indirect associations between psychological and physical intimate partner violence and the occurrence of common mental disorders (CMD) and how they relate to the occurrence of household food insecurity (HFI). DESIGN: This was a population-based cross-sectional study. Intimate partner violence was assessed using the Brazilian version of the Revised Conflict Tactics Scale (CTS2) and HFI was assessed using the Brazilian Food Insecurity Scale. The propositional analytical model was based on a review of the literature and was tested using path analysis. SETTING: Duque de Caxias, Greater Rio de Janeiro, Brazil (April-December 2010). SUBJECTS: Women (n 849) who had been in a relationship in the 12 months preceding the interview. RESULTS: Both psychological and physical violence were found to be major risk factors of HFI. Psychological violence was associated with HFI indirectly via physical violence and CMD, and directly by an unidentified path. The effects of physical violence seemed to be manifested exclusively through CMD. Most of the variables in the propositional model related to socio-economic position, demographic characteristics, degree of women's social support and partner alcohol misuse were retained in the 'final' model, indicating that these factors contribute significantly to the increased likelihood of HFI. CONCLUSIONS: The results reinforce the importance of considering domestic violence and other psychosocial aspects of family life when implementing interventions designed to reduce/eradicate HFI.

Impact of Intimate Partner Violence on Primary Health Care Use for Children: Evidences from Rio de Janeiro, Brazil.

Objectives To assess whether severe physical intimate partner violence (PIPV) after childbirth affects the number of pediatric visits in Primary Health Care (PHC) units during this period. Methods Cross-sectional study including 927 mothers of infants under 6 months, users of 27 PHC units in Rio de Janeiro, Brazil. PIPV from childbirth to the date of interview was measured using the Revised Conflict Tactics Scales (CTS2). The number of pediatric visits in the first 6 months of life was the outcome measure of interest. Poisson and multinomial regression models were used for data analysis to control for confounders. Results Children of mothers who experienced severe PIPV had a reduced number of pediatric visits than those not reporting it. This finding was identified only among children who had health problems: relative to five or more baseline pediatric visits, the chance of 3-4 and 1-2 visits increased three- and five-fold, respectively, when severe PIPV was present. Conclusions The maternal experience of severe PIPV reduces the number of pediatric visits in PHC services among the most vulnerable children. This is a hindrance to adequate health promotion, prevention and care, required for the healthy growth and development of children. Early violence detection by pediatricians and other health professionals could be a step in the right direction.

The associations of BMI trajectory and excessive weight gain with demographic and socio-economic factors: the Adolescent Nutritional Assessment Longitudinal Study cohort.

Assessing changes in adolescents' BMI over brief periods could contribute to detection of acute changes in weight status and prevention of overweight. The objective of this study was to analyse the BMI trajectory and the excessive weight gain of Brazilian adolescents over 3 years and the association with demographic and socio-economic factors. Data regarding the BMI of 1026 students aged between 13 and 19 years were analysed over 3 consecutive years (2010, 2011 and 2012) from the Adolescent Nutritional Assessment Longitudinal Study. Linear mixed effects models were used to assess the BMI trajectory according to the type of school attended (public or private), skin colour, socio-economic status and level of maternal schooling by sex. Associations between excessive weight gain and socio-economic variables were identified by calculation of OR. Boys attending private schools (ß coefficient: 0·008; P=0·01), those with white skin (ß coefficient: 0·007; P=0·04) and those whose mothers had >8 years of schooling (ß coefficient: 0·009; P=0·02) experienced greater BMI increase than boys and girls in other groups. Boys in private schools also presented higher excessive weight gain compared with boys attending public schools (P=0·03). Boys attending private schools experienced greater BMI increase and excessive weight gain, indicating the need to develop specific policies for the prevention and reduction of overweight in this population.

Household food insecurity: a systematic review of the measuring instruments used in epidemiological studies.

OBJECTIVE: To conduct a systematic review aimed at identifying and characterizing the experience-based household food security scales and to synthesize their psychometric properties. DESIGN: Search in the MEDLINE, LILACS and SciELO databases, using the descriptors ('food insecurity' OR 'food security') AND ('questionnaires' OR 'scales' OR 'validity' OR 'reliability'). There was no limitation on the period of publication. All articles had their titles and abstracts analysed by two reviewers. The studies of interest were read in their entirety and the relevant information extracted using a standard form. RESULTS: The initial bibliographic search identified 299 articles. Of these, the 159 that seemed to meet the criteria for inclusion were read fully. After consultation of the bibliographic references of these articles, twenty articles and five documents were added, as they satisfied the previously determined criteria for inclusion. Twenty-four different instruments were identified; all were brief and of easy application. The majority were devised in the USA. Forty-seven references reported results of psychometric studies. The instruments that presented the highest number of psychometric studies were the Core Food Security Measurement/Household Food Security Survey Module (CFSM/HFSSM) and the Self-Perceived Household Food Security Scale. CONCLUSIONS: There are a number of structured scales available in the literature for characterization of household food insecurity. However, despite some psychometric studies already existing about the majority of the instruments, it is observed that, except for the studies of the CFSM/HFSSM, these are still restricted to appraisal of a few aspects of reliability and validity.

Re-assessing the dimensional structure of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): empirical evidence for a shortened Brazilian version.

BACKGROUND: The dimensional structure, effective number of item responses and item redundancies are controversial features of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) requiring more light. The aims of the present study are to revisit the dimensional structure and propose a shorter version of the instrument. METHODS: The sample comprised 652 elderly and their informants, either attending a geriatric service of a public university clinic or enrolled in a health care provider database in Rio de Janeiro, Brazil. A Confirmatory Factor Analysis (CFA) first tested the originally proposed one-dimensional structure comprised of 26 items. This was followed by sequential Exploratory Structural Equation Model (ESEM) to evaluate alternative models, in particular a bi-dimensional solution. The identification of residual correlations (RC) lead to a shortened 20-item model, which was tested further via CFA. RESULTS: The original model fitted poorly (RMSEA = 0.073; 90% CI: 0.069-0.077). Regarding the two-dimensional model, the exploratory procedure (ESEM) indicated several RCs and a lack of factor-based discriminant validity. The ensuing CFA on the one-dimensional model with freely estimated RCs showed an adequate fit (RMSEA = 0.051; 90% CI: 0.047-0.055). Addressing the identified RCs, the CFA on the abridged 20-item version also showed an adequate fit (RMSEA = 0.058; 90% CI: 0.053-0.064) and no further RCs. CONCLUSION: A one-factor dimensional structure and a reduced version with 20 locally independent items were the most tenable solution. However, although promising, this simpler structure requires further examination before it may be fully supported and recommended.

The role of intimate partner violence and other health-related social factors on postpartum common mental disorders: a survey-based structural equation modeling analysis.

BACKGROUND: Although studies suggest the relevance of intimate partner violence (IPV) and other health-related social characteristics as risk factors for postpartum mental health, literature lacks evidence about how these are effectively connected. This study thus aims to explore how socio-economic position, maternal age, household and marital arrangements, general stressors, alcohol misuse and illicit drug abuse, and especially psychological and physical IPV relate in a framework leading to postpartum common mental disorder (CMD). METHODS: The study was carried out in five primary health care units of Rio de Janeiro, Brazil, and included 810 randomly selected mothers of children up to five postpartum months waiting for pediatric visits. The postulated pathways between exposures and outcome were based on literature evidence and were further examined using structural equation models. RESULTS: Direct pathways to postpartum CMD arose from a latent variable depicting socio-economic position, a general stressors score, and both IPV variables. Notably, the effect of psychological IPV on postpartum CMD ran partly through physical IPV. The effect of teenage pregnancy, conjugal instability and maternal burden apparently happens solely through substance use, be it alcohol misuse, illicit drug abuse or both in tandem. Moreover, the effect of the latter on CMD seems to be entirely mediated through both types of IPV. CONCLUSION: Although the theoretical model underlying the analysis still requires in-depth detailing, results of this study may have shed some light on the role of both psychological and physical IPV as part of an intricate network of events leading to postpartum CMD. Health initiatives may want to make use of this knowledge when designing preventive and intervention approaches.

Factorial invariance of the abridged version of the Explicit Discrimination Scale among adults living in southern Brazil.

OBJECTIVE: The Explicit Discrimination Scale (EDS) was developed to assess experiences with discrimination in Brazilian epidemiologic surveys. Though previous analyses have demonstrated that the EDS has good configural, metric, and scalar properties, its invariance has not yet been investigated. In this study, we examined the factorial invariance of two abridged versions of the EDS, according to skin color/ethnicity, sex, socioeconomic status, and their intersections. METHODS: Data from the EpiFloripa Adult Study were used, which include a representative sample of adults residing in a state capital of southern Brazil (n=1,187). Over half of the respondents were women, and around 90% identified as white; the mean age of the participants was 39 years. Two abridged versions of the EDS were analyzed, with seven and eight items, using Multigroup Confirmatory Analysis and the Alignment method. RESULTS: The two versions of the scale may be used to provide estimates of discrimination that are comparable across skin color/ethnicity, sex, socioeconomic status, and their intersections. In the seven-item version of the scale, only one parameter lacked invariance (i.e., threshold of item i13 - called by names you do not like), specifically among black respondents with less than 12 years of formal education. CONCLUSION: The EDS may provide researchers with valid, reliable, and comparable estimates of discrimination between different segments of the population, including those at the intersections of skin color/ethnicity, sex, and socioeconomic status. However, future research is needed to determine whether the patterns we identified here are consistent in other population domains.

[Assessing experiences with discrimination in multiple social groups: invariance analysis of the Explicit Discrimination Scale in university students]. / Aferindo experiências com discriminação em múltiplos grupos sociais: análise de invariância da Escala de Discriminação Explícita em estudantes universitários.

This study evaluated the ability of the Explicit Discrimination Scale (EDS) to produce comparable estimates among respondents according to gender, color/race, and socioeconomic status. Analysis was based on data from two studies with students from Brazilian public universities. An abridged version of the EDS with eight items was evaluated by the alignment method. Findings indicated violation of invariance between color/race and gender groups. Reports of discriminatory experiences had better comparability between socioeconomic status strata. This study showed that EDS should be used with caution, especially to compare discrimination estimates between respondents of different colors/races and genders. The observed violation of invariance reinforces the need for additional research examining whether such a scenario persists in larger and more diverse samples from Brazil.

O objetivo foi avaliar a capacidade da Escala de Discriminação Explícita (EDE) de produzir estimativas comparáveis entre grupos de gênero, cor/raça e posição socioeconômica. A análise se baseou em dados de dois estudos, realizados com estudantes de universidades públicas brasileiras. Uma versão abreviada da EDE com oito itens foi avaliada, utilizando o método alignment (alinhamento). Nossos achados indicaram violação de invariância entre grupos de cor/raça e gênero. Os relatos de experiências discriminatórias tiveram melhor comparabilidade entre estratos de posição socioeconômica. Este estudo demonstrou que a EDE deve ser utilizada com cautela, especialmente para fazer comparações de estimativas de discriminação entre respondentes de cor/raça e gênero distintos. A violação de invariância observada reforça a necessidade de pesquisas adicionais, examinando se tal cenário se mantém em amostras mais amplas e diversas do país.

El objetivo fue evaluar la capacidad de la Escala de Discriminación Explícita (EDE) para producir estimaciones comparables entre grupos de género, color/raza y posición socioeconómica. El análisis se basó en los datos de dos estudios, realizados con estudiantes de universidades públicas brasileñas. Se evaluó una versión abreviada de la EDE con 8 ítems, utilizando el método alignment (alineación). Nuestros hallazgos indicaron una violación de la invariancia entre los grupos de color/raza y género. Los informes de experiencias discriminatorias fueron más comparables entre los estratos de posición socioeconómica. Este estudio demostró que la EDE debe usarse con precaución, especialmente para hacer comparaciones de estimaciones de discriminación entre encuestados distintos de color/raza y género. La violación de la invariancia observada refuerza la necesidad de investigaciones adicionales, examinando si tal escenario se mantiene muestras más amplias y diversas del país.

What have adolescents in Rio de Janeiro city, Brazil, done to reduce their community violence exposure? / O que os adolescentes do município do Rio de Janeiro, Brasil, têm feito para reduzir sua exposição à violência comunitária?

This study aims to identify the individual community strategies to avoid violence exposure most used by adolescents from public and private schools in the IX Administrative Region of Rio de Janeiro and investigate the profile of co-occurrence and its prevalence in specific population subgroups. This is a cross-sectional study with 693 individuals. A multidimensional questionnaire collected information regarding strategies to avoid community violence exposure and was self-completed in the classroom. The most used strategies were avoiding walking close to armed people (55.5%), avoiding walking alone (30.5%), and avoiding returning home at dawn (24.7%). Girls adopt more of all (concurrently) the four limiting behaviors to reduce their community violence exposure (53% vs. 32%). Notably, the adoption of such strategies differed by socioeconomic indicators and was higher among adolescents from lower-income households. These findings point to the high frequency of use of such strategies by adolescents, which may hinder and limit the full development of their social and cultural skills.

O objetivo do estudo é conhecer as estratégias individuais mais utilizadas por adolescentes de escolas públicas e privadas da IX Região Administrativa do município do Rio de Janeiro para evitar a exposição à violência comunitária, bem como investigar o perfil de coocorrência e sua prevalência em subgrupos populacionais específicos. Trata-se de um estudo seccional com 693 indivíduos. As informações referentes às estratégias para evitar a exposição à violência comunitária foram coletadas por meio de questionário multidimensional autopreenchido em sala de aula. As estratégias mais utilizadas foram: evitar passar onde há pessoas armadas (55,5%), evitar andar sozinho (30,5%) e evitar voltar para casa de madrugada (24,7%). Observou-se que as meninas adotam mais todos (concomitantemente) os quatro tipos de comportamento limitantes para reduzir sua exposição à violência comunitária (53% vs. 32%). Ressalta-se que a adoção de tais estratégias diferiu segundo os indicadores socioeconômicos, sendo maior entre os adolescentes oriundos de família de estratos de renda mais baixos. Tais achados chamam a atenção para a alta frequência de utilização de tais estratégias por adolescentes, o que pode cercear e limitar o pleno desenvolvimento de suas habilidades sociais e culturais.

Challenges in operationalizing conceptual models in aetiological research.

Conceptual or theoretical models are crucial in developing causal hypotheses and interpreting study findings, but they have been underused and misused in aetiological research, particularly in dentistry and oral epidemiology. Good models should incorporate updated evidence and clarify knowledge gaps to derive logical hypotheses. Developing models and deriving testable hypotheses in operational models can be challenging, as seen in the four examples referred to in this commentary. One challenge concerns the theoretical validity of the model, while another relates to difficulties in operationalizing abstract concepts. A third challenge refers to the lack of sufficient information in the dataset to test partially or even the whole model. Finally, a common challenge is the application of a conceptual model to different contexts. Among the existing methodological approaches to operationalize conceptual models, causal graphs may be helpful, especially when combined with approaches from diverse disciplinary fields via triangulation.

The best of two worlds: Combining the DSM-5 and ICD-11 clusters of symptoms for posttraumatic stress disorder in a single screening scale.

OBJECTIVES: The most recent DSM-5 (2013) and ICD-11 (2018) diagnostic criteria for posttraumatic stress disorder (PTSD) encompass 20 and six symptoms, respectively, organized in different structures. This study aimed to investigate the dimensions of the Posttraumatic Stress Disorder Checklist 5 (PCL-5) according to the DSM-5's broader definition of PTSD and the ICD-11's narrower approach, as well as to explore an alternative restricted model that retains the core symptoms explicitly related to traumatic experiences. METHODS: Data were gathered from Brazilian employees (n=1,101) who had directly experienced traumatic life events or had been exposed to them because of their work activities. Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) were used to evaluate the configural and metric structures of the models. RESULTS: We estimated seven models of the latent structure of PTSD including the four-factor DSM-5 and three-factor ICD-11 PTSD models. Given the lack of evidence of their validity, an alternative 10-symptom model was tested. The final seven-item PTSD model considerably improved estimation of the PTSD construct. This solution showed reliable items with non-redundant content, acceptable fit indices, and satisfactory configural and metric properties. CONCLUSION: The more parsimonious one-dimensional model comprising the core PTSD symptoms has the potential to improve assessment of PTSD.