Toledano-Toledano Filiberto, Domínguez-Guedea Miriam Teresa
Evidence-Based Medicine Research Unit, Children's Hospital of Mexico Federico Gómez, National Institute of Health, Mexico. Dr. Márquez 162, Col. Doctores, Del. Cuauhtémoc, C.P. 06720 Mexico City, Mexico.
2Department of Psychology and Communication Sciences, University of Sonora. Blvd. Luis Encinas y Rosales, Col. Centro S/N, 83000 Hermosillo, Sonora Mexico.
Biopsychosoc Med. 2019 Mar 8;13:6. doi: 10.1186/s13030-019-0147-2. eCollection 2019.
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.
照顾患有复杂慢性病儿童所产生的影响是一个日益严重的公共卫生问题。然而,社会人口统计学和心理社会变量是否可用于预测照顾者的负担,以及慢性病患儿家庭的特征是如何界定和构成的,目前尚不清楚。本研究的目的是确定多变量社会人口统计学和心理社会变量以及社会文化和家庭因素,以分析慢性病患儿家庭照顾者的照顾负担。
在墨西哥城的国立卫生研究院对416名慢性病患儿的家庭照顾者进行了一项横断面研究。参与者回答了一份关于社会人口统计学变量的问卷,以及一系列7种工具,这些工具用于检查照顾者负担、家庭支持、父母压力、焦虑、支持网络、家庭功能、历史心理社会文化前提和世界卫生组织幸福指数。
使用分层多元回归模型进行的多变量分析表明,将社会文化历史前提、压力源和焦虑作为正向个体预测因素考虑在内,心理社会和社会人口统计学特征中包含的变量整体上解释了照顾者负担差异的40%。照顾者负担的负向个体预测因素包括高中教育、社会支持网络、家庭支持、家庭功能和幸福感。家庭照顾者的社会人口统计学特征如下:女性(81.7%);平均年龄31.7岁(标准差[SD],8岁);已婚(79.3%);核心家庭(60%);基础教育(62.7%);无薪工作(66.3%);家庭日收入约4美元(61.1%)。
慢性病患儿家庭照顾者的照顾负担是基于个人、家庭和社会文化因素来界定和构成的。这些特征为针对儿童患病期间面临逆境、风险和脆弱性的家庭开展研究和实施干预策略提供了证据。