The impact of looking after children who live with complex chronic conditions is a growing public health issue. However, it is unclear whether sociodemographic and psychosocial variables can be used to predict the burden on the caregiver and how the profiles of families of children with chronic diseases are defined and structured. The objective of this study was to identify multivariate sociodemographic and psychosocial variables as well as sociocultural and familial factors to analyze the caregiver burden of family caregivers of children with chronic diseases. A cross-sectional study was conducted involving 416 family caregivers of children with chronic diseases at the National Institute of Health in Mexico City. The participants responded to a questionnaire on sociodemographic variables and a battery of 7 instruments that examined caregiver burden, family support, parental stress, anxiety, support networks, family functioning, historic-psycho-socio-cultural premises and the World Health Organization Well-Being Index. A multivariate analysis using hierarchical multiple regression models showed that the variables included in the psychosocial and sociodemographic profile as a whole explained 40% of the variance in caregiver burden, taking sociocultural historical premises, stressors and anxiety into account as positive individual predictors. Negative individual predictors for caregiver burden included upper secondary education, social support networks, family support, family functioning and well-being. The sociodemographic profiles of family caregivers were as follows: female (81.7%); mean age, 31.7 years (standard deviation [SD], 8 years); married (79.3%); nuclear family (60%); basic education (62.7%); unpaid work (66.3%); and a daily household income of approximately 4 USD (61.1%). The caregiver burden of family caregivers of children with chronic diseases is defined and structured based on personal, family, and sociocultural factors. These features provide evidence to conduct research and implement intervention strategies with regard to families facing adversity, risk and vulnerability during a child’s disease.

Chronic diseases in childhood can affect the physical and mental health of patients and their families. The objective of this study was to identify the sociodemographic and psychosocial factors that predict resilience in family caregivers of children with cancer and to define whether there are differences in the levels of resilience derived from these sociodemographic variables. Three hundred and thirty family caregivers of children with cancer, with an average age of 32.6 years were interviewed. The caregivers responded to a battery of tests that included a questionnaire of sociodemographic variables, the Measuring Scale of Resilience, the Beck Depression Inventory, the Inventory of Quality of Life, the Beck Anxiety Inventory, an interview of caregiver burden and the World Health Organization Well-Being Index. The main findings indicate that family caregivers of children with cancer reported high levels of resilience, which were associated positively with quality of life, psychological well-being and years of study and associated negatively with depression, anxiety and caregiver burden. The variables that predicted resilience in families of children with cancer were quality of life, psychological well-being, depression and number of children. Family caregivers who were married and Catholic showed higher resilience scores. We conclude that being a caregiver in a family with children with cancer is associated with symptoms of anxiety and with depressive episodes. These issues can be overcome through family strength, well-being, quality of life and positive adaptation processes and mobilization of family resources.

Background: At present, the Americas report the largest number of cases of COVID-19 worldwide. In this region, Mexico is the third country with most deaths (20,781 total deaths). A sum that may be explained by the high proportion of people over 50 and the high rate of chronic diseases. The aim of this analysis is to investigate the risk factors associated with COVID-19 deaths in Mexican population using survival analysis. Methods: Our analysis includes all confirmed COVID-19 cases contained in the dataset published by the Epidemiological Surveillance System for Viral Respiratory Diseases of the Mexican Ministry of Health. We applied survival analysis to investigate the impact of COVID-19 on the Mexican population. From this analysis, we plotted Kaplan-Meier curves, and constructed a Cox proportional hazard model. Results: The analysis included the register of 16,752 confirmed cases of COVID-19 with mean age 46.55 ± 15.55 years; 58.02% (n = 9719) men, and 9.37% (n = 1569) deaths. Male sex, older age, chronic kidney disease, pneumonia, hospitalization, intensive care unit admission, intubation, and health care in public health services, were independent factors increasing the risk of death due to COVID-19 (p < 0.001). Conclusions: The risk of dying at any time during follow-up was clearly higher for men, individuals in older age groups, people with chronic kidney disease, and people hospitalized in public health services.

Background: A family caregiver is defined as a person who has a significant emotional bond with the patient; this caregiver is a family member who is a part of the patient’s family life cycle; offers emotional-expressive, instrumental, and tangible support; and provides assistance and comprehensive care during the chronic illness, acute illness, or disability of a child, adult, or elderly person. The objectives of this study were to identify the psychosocial profiles of family caregivers of children with chronic diseases and to establish the relationship between these profiles and sociodemographic variables. Methods: A cross-sectional study was conducted involving 401 family caregivers of children with chronic diseases at the National Institute of Health in Mexico City. The participants responded to the Sociodemographic Variables Questionnaire (Q-SV) for research on family caregivers of children with chronic disease and a battery of 7 instruments that examined anxiety, caregiver burden, family support, depression, resilience, parental stress, and the World Health Organization Well-Being Index. Results: A hierarchical cluster analysis and its confirmation through a nonhierarchical cluster analysis confirmed two profiles of caregivers of pediatric patients with chronic diseases. Profile 1, called Vulnerability of family caregivers, is characterized by high levels of anxiety, depression, parental stress and caregiver burden, accompanied by low levels of family support, resilience, and well-being. Profile 2, called Adversity of family caregivers, shows an inverse pattern, with high levels of family support, resilience, and well-being and low levels of anxiety, depression, parental stress and caregiver burden. The sociodemographic characteristics are similar for both profiles, with the exception of the caregiver’s family type. Profile 1 shows more single-parent caregivers, while profile 2 includes more caregivers with a nuclear family. However, the type of family did not reach significance for predicting the caregiver’s profile in a bivariate logistic regression model. Conclusions: The psychosocial profile of family caregivers of children with chronic diseases can be structured according to their psychosocial characteristics. Although no causal factors were detected that define criteria for belonging to one or another profile, the characteristics identified for each indicate the need for specific and differentiated intervention strategies for families facing adversity, risk and vulnerability during a child’s disease.

Currently, information on factors associated with anxiety in family caregivers of children with chronic diseases is unavailable, indicating a significant gap in the literature. Therefore, this study aims to identify the psychosocial and sociodemographic variables associated with anxiety in family caregivers of children with chronic diseases. In 2018, a nonprobability sample of 446 family caregivers was recruited at the National Institute of Health in Mexico City. The participants completed a sociodemographic variable questionnaire, clinical questions, and 18 psychosocial assessment scales, including a scale to assess family caregiver anxiety. Family caregiver anxiety was correlated with almost all psychosocial variables and one out of three clinical variables but with none of the sociodemographic variables. Furthermore, a multiple linear regression model with five psychosocial variables was established to predict family caregiver anxiety. Some psychosocial variables have effects on caregiver anxiety that are relevant for interventions. Clinical interventions should be implemented based on the psychosocial variables associated with family caregiver anxiety.

Information on the psychometric properties of the Beck Depression Inventory II (BDI-II) in family caregivers of children with chronic diseases is currently unavailable, indicating a significant gap in the literature. Therefore, we investigated 1) which of the five evaluated measurement models had the best fit, 2) the scale’s reliability, and 3) the scale’s convergent validity. In 2018, a cross-sectional ex post facto study with non-probability convenience sampling was conducted in 446 family caregivers of children with chronic diseases at the National Institute of Health in Mexico City; the family caregivers responded to the BDI-II and a battery of instruments measuring anxiety, caregiver burden, parental stress, well-being, and quality of life. A confirmatory factor analysis was conducted to determine the fit of the five models. Cronbach’s alpha and composite reliability were calculated to assess the scale’s reliability, and Spearman´s rank correlation was used to investigate the scale’s convergent validity. This study provided evidence that the two-factor somatic-affective and cognitive model had the best fit. The BDI-II demonstrated adequate reliability and evidence of convergent validity, as the BDI-II factors were positively correlated with anxiety, caregiver burden, and parental stress and negatively correlated with well-being and quality of life. The findings reveal that the BDI-II is a valid, reliable, and culturally relevant instrument to measure depression in family caregivers of children with chronic diseases.