Violence against Women during the COVID-19 Pandemic in Mexico.

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.

Measurement invariance of the GAD-5 Generalized Anxiety Disorder Scale in a Mexican general population sample.

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.

Measurement invariance of the GAD-5 Generalized Anxiety Disorder Scale in a Mexican general population sample

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.

Cambios en los patrones de consumo de alcohol y tabaco antes y durante la pandemia de Covid-19. Ensanut 2018 y 2020.

OBJETIVO: Examinar los cambios en la prevalencia de con-sumo de alcohol y tabaco antes y durante la pandemia de Covid-19 en México. Material y métodos. Se utilizaron datos de las Ensanut 2018 y 2020 para adolescentes y adultos y se obtuvieron prevalencias de consumo actual y excesivo de alcohol y de fumadores actuales y exfumadores. Resul-tados. El consumo de alcohol en mujeres incrementó de 33.5% en 2018 a 42.5% en 2020, mientras que en los hom-bres no hubo cambios significativos. En el mismo periodo, la prevalencia de consumo excesivo de alcohol disminuyó de 11.1 a 5.5% en mujeres y de 36.7 a 18.3% en hombres. La prevalencia de mujeres fumadoras disminuyó de 9.5 a 7.2%. En adolescentes, no se encontraron diferencias significativas en la prevalencia de consumo de alcohol y tabaco. Conclusión. El consumo de alcohol y tabaco continúa siendo elevado en adolescentes y adultos mexicanos. Urge la implementación de las medidas SAFER y MPOWER para abatir sinérgicamente estas epidemias.

Factores asociados con el consumo excesivo de alcohol: Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19.

Objetivo. Conocer la magnitud del consumo excesivo de alcohol (CEA) y su asociación con los factores individuales, familiares y sociales entre agosto y noviembre de 2020 en México. Material y métodos. Con base en los datos de la Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19, se analizaron 8 595 adultos mayores de 20 años. Se estimaron modelos de regresión logística estratificados por sexo y se obtuvieron razones de momios (RM) con intervalos de confianza al 95% (IC95%). Resultados. El CEA fue de 40.43%; hombres 56.49% y mujeres 25.70%. Los principales factores asociados fueron ser hombre (RM=3.66; IC95%: 3.22,4.12), edad de 20 a 29 años (RM=3.65; IC95%: 2.89,4.63), salir a trabajar durante la pandemia (RM=1.56; IC95%: 1.33,1.81) y tener dos o más escolares en el hogar (RM=1.20; IC95%: 1.03,1.39). Conclusiones. En México, el patrón de CEA es prevalente; por su naturaleza de riesgo y su amplia distribución poblacional, es prioritario implementar intervenciones preventivas individuales y de salud pública.