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OBJETIVO: Estimar la prevalencia de la ideación suicida (IS) y su asociación con los determinantes sociales (DS) en la pobla-ción mexicana durante la pandemia de Covid-19. Material y métodos. Datos de la encuesta de Atención Psicológica a Distancia para la Salud Mental debido a la Contingencia por Covid-19 obtenidos durante 2020. La muestra fue de 79 665. Se realizaron modelos de regresión logística obteniendo razones de momios (RM) con intervalos de confianza del 95% (IC95%). RESULTADOS: La prevalencia de IS fue de 17.1% (mujeres:18.8% y hombres: 14.4%). Principales DS asociados fueron: ser mujer (RM=1.11; IC95% 1.06,1.13), mujeres jóvenes (RM=1.30; IC95% 1.09,1.54), escolaridad (RM=1.89; IC95% 1.14,3.12), soltera(o) (RM= 1.31; IC95% 1.24,1.38), desempleo (RM= 2.33; IC95% 2.21,2.45), distanciamiento social (RM 1.81; IC95%1.68,1.96), vivir solo (RM 1.18; IC95% 1.10,1.27), pérdida de familiar por Covid-19 (RM= 1.41; IC95%1.30,1.54), tener un diagnóstico de depresión (RM= 5.72; IC95% 5.41,6.05), ser víctima de violencia física (RM=2.71; IC95% 2.49,2.95), consumo excesivo de alcohol (RM=1.68; IC95%1.58,1.79) y drogas (RM= 3.13; IC95% 2.88,3.41), y sospecha o diagnóstico de Covid-19 (RM=1.79; IC95% 1.67,1.89). CONCLUSIONES: La prevalencia de IS durante la pandemia por Covid-19 fue elevada; se discute la relevancia de los DS estructurales e intermedios que influyen en la IS.
Assuntos
COVID-19 , Ideação Suicida , Humanos , México , Pandemias , Determinantes Sociais da Saúde , Estudos RetrospectivosRESUMO
OBJETIVO: Analizar la estructura factorial, la validez convergente y divergente de la Escala Columbia de Severidad Suicida (CSSRS) y el Cuestionario de Eventos de Vida Estresantes (EVE) y medir la asociación entre EVE y conducta suicida (CS) en mujeres mexicanas durante la pandemia por Covid-19. Material y métodos. Se usaron datos de 2 398 mujeres que participaron en un estudio multicéntrico, realizado en México entre mayo y octubre de 2021. La información se recolectó mediante un cuestionario en línea que incluyó la CSSRS y el EVE. Se hizo un análisis factorial confirmatorio para valorar el ajuste de los modelos. RESULTADOS: El modelo final mostró asociación entre los EVE y la CS, y tuvo a la violencia como variable central. Dicho modelo presentó un ajuste adecuado (CFI = 0.950, IFI = 0.950, MFI = 0.975, RMSEA = 0.031, CI RMSEA = 0.026-0.036). CONCLUSIONES: La pandemia por Covid-19 evidenció la necesidad de crear e implementar estrategias que promuevan el cuidado de la salud mental, reduzcan la exposición a la violencia y faciliten los procesos de duelo para prevenir la CS en mujeres mexicanas.
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The aim of this study was to evaluate the validity and psychometric properties in a Mexican sample of a Spanish-language online version of the Columbia-Suicide Severity Rating Scale (C-SSRS). Data were collected between May and October 2021 from 3,645 participants aged 18 years and over, who agreed to complete the questionnaire. Reliability analysis, confirmatory factor analysis (CFA), and psychometric properties were calculated using a two-parameter model. The results showed a reasonable level of reliability with a Cronbach's alpha of 0.814, and evidence of unidimensionality, and construct validity for suicide risk at three risk levels: low, medium, and high. Analysis of the items suggests that they are consistent with the proposed theoretical model. Our results also demonstrate that the parameters are stable and able to efficiently discriminate individuals at high risk of suicide. We propose the use of this version of the C-SSRS in the Spanish-speaking population, since it is a multifactorial assessment of suicide risk and the inclusion of other clinical and risk factor assessments for a more comprehensive evaluation.
Assuntos
Suicídio , Humanos , Adolescente , Adulto , Psicometria , Reprodutibilidade dos Testes , Análise Fatorial , IdiomaRESUMO
This study measured the prevalence of cases of domestic violence against women and some associated factors during the COVID-19 pandemic in Mexico. Data were collected through a remote survey during 2020. The sample included 47,819 women aged 15 years and older. Jointpoint regression and logistic regression models were used. The prevalence of violence was 11.5%, which decreased in July and subsequently increased. The associated factors were being unemployed (OR = 2.01; 95%CI 1.89-2.16); being partially and totally quarantined (OR = 1.58; 95%CI 1.43-1.75 and OR = 1.47; 95%CI 1.32-1.63); being a caregiver of children; being a caregiver of elderly and/or suffering from a chronic illness (OR = 1.27; 95%CI 1.19-1.36; OR = 1.42; 95%CI 1.33-1.53; OR = 1.59; 95%CI 1.47-1.73); losing a family member to COVID-19 (OR = 1.26; 95%CI 1.13-1.41); and binge drinking (OR = 1.94; 95%CI 1.78-2.12). The confinement measures increased gender inequalities, economic problems and workload which further evidenced violence against women.
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The primary objective of this study was to evaluate the measurement of invariance by sex, age, and educational level of an online version of the Generalized Anxiety Disorder Scale in a five-item version (GAD-5). Configural, metric, scalar, and strict invariance were evaluated using data from 79,473 respondents who answered a mental health questionnaire during the COVID-19 pandemic in Mexico. The sex variable was classified as male or female; age was categorized as minors, youth, young adults, adults, and older adults; and educational level was divided into basic, upper secondary, higher, and graduate education. To test for configural invariance, confirmatory factor models were constructed. For metric invariance, equality restrictions were established for the factor loadings between the construct and its items; for scalar invariance, equality restrictions were established between the intercepts; strict variance implied the additional restriction of the residuals. Statistical analysis was performed in R software with the lavaan package. The results show that with respect to sex, age, and educational level, configural and metric measurement invariance was confirmed (ΔCFI < 0.002; ΔRMSEA < 0.015). However, with respect to scalar and strict invariance, the results showed significant differences regarding the fit model (ΔCFI > 0.002; ΔRMSEA > 0.015). We conclude that the GAD-5 presents configural and metric invariance for sex, age, and educational level, and scalar invariance for sex and age groups. However, the scale does not demonstrate strict invariance. We discuss the implications and suggest that this result could be related to the evaluation of sociodemographic variables.