Medical Oncology, University of Alberta, Edmonton, Alberta.
Faculty of Science, McMaster University, Hamilton, Ontario.
Can J Aging. 2020 Sep;39(3):456-467. doi: 10.1017/S071498081900045X. Epub 2019 Sep 2.
Intersectionality analysis is the study of overlapping or intersecting social identities. Intersecting social identities may have an impact on the perception of burden by family caregivers of older persons with multiple chronic conditions (MCC). The purpose of this study was to explore the interaction of social factors on the burden of caring for older adults with MCC. A total of 194 caregivers of older adults with MCC were recruited from Alberta and Ontario. Survey data were collected at two time points, six months apart. Additive and multiplicative models were analysed using a generalised linear model to determine the level of caregiver burden. Medium-high social interference (impact on social life) was associated with higher burden when adjusted for age, gender, education, and employment status. The overall results of the five-way interaction suggest that males in general had lower burden scores than females. Irrespective of their education and employment status, females had generally higher burden scores. These results add to the current body of literature, suggesting areas for further research to fill knowledge gaps, and promoting ideas for evidence-guided public health interventions that focus on caregivers.
交叉性分析是研究重叠或交叉的社会身份。交叉的社会身份可能会影响照顾患有多种慢性疾病（MCC）的老年人的家庭照顾者对负担的感知。本研究的目的是探讨社会因素对照顾患有 MCC 的老年人的负担的相互作用。从艾伯塔省和安大略省共招募了 194 名照顾患有 MCC 的老年人的护理人员。调查数据在两个时间点收集，相隔六个月。使用广义线性模型分析了加性和乘法模型，以确定照顾者负担的水平。调整年龄、性别、教育和就业状况后，中等高度的社会干扰（对社会生活的影响）与更高的负担相关。五项交互作用的总体结果表明，男性的负担评分一般低于女性。无论其教育和就业状况如何，女性的负担评分通常更高。这些结果增加了现有文献，表明需要进一步研究以填补知识空白，并促进以照顾者为重点的循证公共卫生干预措施的想法。
