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.

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.

Currently, information about the psychometric properties of the Beck Anxiety Inventory (BAI) in family caregivers of children with cancer is not available; thus, there is no empirical evidence of its validity and reliability to support its use in this population in Mexico or in other countries. This study examined the psychometric properties of the BAI in family caregivers of children with cancer and pursued four objectives: to determine the factor structure of the BAI, estimate its internal consistency reliability, describe the distribution of BAI scores and the level of anxiety in the sample and test its concurrent validity in relation to depression and resilience. This cross-sectional study was carried out with convenience sampling. A sociodemographic questionnaire, the BAI, the Beck Depression Inventory and the Measurement Scale of Resilience were administered to an incidental sample of 445 family caregivers of children with cancer hospitalized at the National Institute of Health in Mexico City. Confirmatory factor analysis using the maximum likelihood method was performed to determine the factor structure and exploratory factor analysis using axis factorization with oblique rotation was conducted. The two-, three- and four-factor models originally proposed for the BAI did not hold. The exploratory factor analysis showed a model of two correlated factors (physiological and emotional symptoms). Confirmatory factor analysis revealed a lack of discriminant validity between these two factors and supported a single-factor model. The internal consistency of the scale reduced to 11 items (BAI-11) was good (alpha = 0.89). The distribution of BAI-11 scores was skewed to the left. High levels of symptoms of anxiety were present in 49.4% of caregivers. The scale was positively correlated with depression and negatively correlated with resilience. These findings suggest that a reduced single-factor version of the BAI is valid for Mexican family caregivers of children with cancer.

Quality of life (QOL) is a key aspect of the health care process for children with chronic diseases and their families. Although clinical evidence regarding the impact of chronic disease on children exists, few studies have evaluated the effects of the interaction between sociodemographic and psychosocial factors on the family caregiver’s QOL, indicating a significant gap in the research literature. The present study aimed to identify the predictors of the QOL of parents of children with chronic diseases. Three parental sociodemographic predictors (age, schooling, and family income) and four psychosocial predictors (family functioning, social support, depression, and resilience) were examined. In this cross-sectional study, 416 parents of children with chronic diseases who were hospitalized at a National Institute of Health in Mexico City were interviewed. The participants completed a sociodemographic variables questionnaire (Q-SV) designed for research on family caregivers of children with chronic disease. The predicted variable was assessed through the World Health Organization Quality of Life Questionnaire. The four psychosocial predictors were assessed through the Family Functioning Scale, Social Support Networks Scale, Beck Depression Inventory, and Measurement Scale of Resilience. The regression model explained 42% of the variance in parents’ QOL. The predictors with positive weights included age, schooling, monthly family income, family functioning, social support networks, and parental resilience. The predictors with negative weights included depression. These findings suggest that strong social relationships, a positive family environment, family cohesion, personal resilience, low levels of depression, and a family income twice the minimum wage are variables associated with better parental QOL.

Purpose: Currently, information on the psychometric properties of the Medical outcomes study-social support survey (MOS-SSS) for patients with chronic disease in primary health care, suggests problems in the dimensionality, specifically predominant unidimensionality in a multidimensional measure. The aim of this study was to determine the internal structure (dimensionality, measurement invariance and reliability) and association with other variables.Methods: A total of 470 patients with chronic disease from a Family Medicine Unit at the Instituto Mexicano del Seguro Social, IMSS, with a mean age of 51.51 years were included. Participants responded to the Questionnaire of Sociodemographic Variables (Q-SV), SF-36 Health-Related Quality of Life Scale–version 1.1, and MOS-SSS.Results: Non-parametric (Mokken scaling analysis) and parametric (confirmatory factor analysis) analyses indicated unidimensionality, and three-factor model was not representative. A new 8-item version (MOS-S) was developed, where measurement invariance, equivalence with the long version, reliability, and relationship with the SF-36 were satisfactory.Conclusion: The MOS-SSS scale is unidimensional, and the shortened version yields valid and reliable scores for measuring social support in patients with chronic disease at the primary health care.

Background: Chronic diseases in childhood can affect the physical and mental health of patients and their families. The literature on pediatric chronic diseases has found important associations between the sociodemographic variables of children and their caregivers and negative health consequences in families. Methods: In this study, we aimed to design and validate a questionnaire on sociodemographic variables that would be useful for research on pediatric chronic diseases; and investigate the relationship between sociodemographic variables and psychosocial variables among family caregivers. First, we created a questionnaire that consists of 20 demographic, medical, and family-related items based on a literature review and expert evaluations. This questionnaire was then validated by 335 expert reviewers in the field of Social Work, who work daily with the families of patients with chronic diseases in 10 National Institutes of Health of Mexico. The validation was based on three empirical criteria created specifically for this study, and the reviewers evaluated the usefulness, relevance, and permanence of the items. In a second cross-sectional, correlational and comparative study, a total of 446 family caregivers of children with chronic diseases were interviewed, and they completed the Sociodemographic Variables Questionnaire for research on family caregivers of children with chronic sociodemographic diseases and four psychosocial measurement instruments for evaluating anxiety, depression, caregiver burden and quality of life. Results: Based on the results of the first study, we created the Sociodemographic Variables Questionnaire (Q-SV) for research on family caregivers of children with chronic diseases, and it includes 17 items that assess demographic, medical, and family characteristics. The results of the second study showed that the 17 sociodemographic variables obtained in the validation by expert judges are useful for measuring and evaluating the relationship between psychosocial variables in families of children with chronic diseases. Conclusions: Psychosocial and sociodemographic factors are relevant for the development of research processes for families that care for children with chronic diseases.