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 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.

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.

Background: The Coping Health Inventory for Parents (CHIP) has demonstrated good psychometric properties in several language forms and has been used to assess the coping behaviors of families facing disease. However, the CHIP has not been validated in Mexico among families of children with chronic conditions, where it could be useful for research and intervention. The objectives of this instrumental study were to obtain a version of the CHIP for the Spanish language in Mexico, establish the factor structure of the Mexican version of the CHIP, probe its internal consistency reliability, and assess its concurrent construct validity. Methods: A nonprobability sample of 405 family caregivers of children with chronic diseases responded to a battery of measurement instruments that included the CHIP, the Beck Anxiety Inventory, and the Beck Depression Inventory. The sample was randomly divided into two parts. In one subsample (190 participants), an exploratory factor analysis was performed using a principal component analysis and oblique rotation. In the second subsample (215 participants), a confirmatory factor analysis was performed using maximum likelihood estimation. Results: The scale was reduced to 16 items (CHIP-16) with factorial loads greater than .50. The empirical criteria used to determine the number of factors converged on the following five factors: belief and trust (McDonald ω = .85), spouse/partner relationship (ω = .79), home care (ω = .77), family involvement (ω = .75), and security/ stability (ω = .79). The overall internal consistency was good (ω = .88). The five-factor model showed acceptable fit indices and high parsimony. The mean CHIP-16 scores and the Spouse/partner relationship scores among the caregivers with anxiety were greater than those among the caregivers without anxiety. The mean home-care scores among the women were greater than those among men. Conclusions: The 16-item version of the CHIP showed good internal consistency and construct validity; thus, the CHIP-16 is a useful instrument for measuring and assessing coping in family caregivers of children with chronic diseases.

BackgroundChronic 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.MethodsIn 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.ResultsBased 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.ConclusionsPsychosocial and sociodemographic factors are relevant for the development of research processes for families that care for children with chronic diseases.